Protect Coastal Wetlands

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Sector
FALO & Nature-Based Carbon Removal
Mode
Cut Emissions
Cluster
Protect & Manage Ecosystems
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Birds flying over wetland
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Summary

Coastal wetland protection is the long-term protection of mangrove, salt marsh, and seagrass ecosystems from degradation by human activities. This solution focuses on legal mechanisms of coastal wetland protection, including the establishment of Protected Areas (PAs) and Marine Protected Areas (MPAs), which are managed with the primary goal of conserving nature. These legal protections reduce a range of human impacts, helping to preserve existing carbon stocks and avoid CO₂ emissions.

Extreme weather events
Income & work,Food security,Equality
Nature protection,Land resources,Water quality
Description for Social and Search
Protect Coastal Wetlands is a Highly Recommended climate solution. By legally protecting mangroves, salt marshes, and seagrasses, it helps preserve existing carbon stocks and avoid GHG emissions.
Overview

Coastal wetlands (defined as mangrove, salt marsh, and seagrass ecosystems, see Figure 1) are highly productive ecosystems that sequester carbon via photosynthesis, storing it primarily below ground in sediments where waterlogged, low-oxygen conditions help preserve it (Adame et al., 2024; Lovelock et al., 2017). 

Figure 1. Types of coastal wetlands, from left to right: a salt marsh in Westhampton Beach (United States), a mangrove forest near Staniel Cay (Bahamas), and a seagrass meadow off Notojima Island (Japan).

Types of wetlands

Adobe Stock | istock; Maria T Hoffman | Adobe Stock; James White and Danita Delimont | AdobeStock

These ecosystems are also efficient at trapping carbon suspended in water, which can comprise up to 50% of the carbon sequestered in these settings (McLeod et al., 2011; Temmink et al., 2022). Coastal wetlands operate as large carbon sinks (Figure 2), with long-term carbon accumulation rates averaging 5.1–8.3 t CO₂‑eq /ha/yr (McLeod et al., 2011).

Figure 2. Overview of carbon storage in coastal wetlands. Salt marshes, mangroves, and seagrasses, commonly referred to as blue carbon ecosystems, store carbon in plant biomass and sediment.

Diagram demonstr ating CO2 absorption in salt marsh, mangroves, and seagrass.

Source: Macreadie, P. I., Costa, M. D., Atwood, T. B., Friess, D. A., Kelleway, J. J., Kennedy, H., ... & Duarte, C. M. (2021). Blue carbon as a natural climate solution. Nature Reviews Earth & Environment, 2(12), 826-839. Link to source: https://doi.org/10.1038/s43017-021-00224-1

Protection of coastal wetlands preserves carbon stocks and avoids emissions associated with degradation, which can increase CO₂, methane, and nitrous oxide effluxes. Nearly 50% of the total global area of coastal wetlands has been lost since 1900 and up to 87% since the 18th century (Davidson, 2014). With current loss rates, an additional 30–40% of remaining seagrasses, salt marshes, and nearly all mangroves could be lost by 2100 without protection (Pendleton et al., 2012). Protection of existing coastal wetlands is especially important because restoration is challenging, costly, and not yet fully optimized. For example, seagrass restoration has generally been unsuccessful (Macreadie et al., 2021), and restored seagrass systems can have higher GHG fluxes than natural systems (Mason et al., 2023).

On land, degradation often arises from aquaculture, reclamation and drainage, deforestation, diking, and urbanization (Mcleod et al., 2011). In the ocean, impacts often occur due to dredging, mooring, pollution, and sediment disturbance (Mcleod et al., 2011). For instance, deforestation of mangroves for agriculture removes biomass and oxidizes sediment carbon stocks, leading to high CO₂ effluxes and, potentially, methane and nitrous oxide emissions (Chauhan et al., 2017, Kauffman et al., 2016, Sasmito et al., 2019). Likewise, high CO₂ or methane effluxes from salt marshes commonly result from drainage, which can oxygenate the subsurface and fuel carbon loss, or from infrastructure such as dikes, which can reduce saltwater exchange and increase methane production (Kroeger et al., 2017). In another example, dredging in seagrass meadows drives high rates of ecosystem degradation due to reduced light availability, leading to die-offs that can increase erosion and reduce sediment carbon stocks by 21–47% (Trevathan-Tackett et al., 2018).

Our analysis focused on the avoided CO₂ emissions and retained carbon sequestration capacity conferred by avoiding degradation of coastal wetlands via legal protection. While degradation can substantially alter emissions of other GHGs, such as methane and nitrous oxide, we focus on CO₂ due to the limited availability of global spatial data on degradation types and extent and associated effluxes of all GHGs across coastal wetlands. Ignoring methane and nitrous oxide benefits with protection is the most conservative approach because limited data exist on emission profiles from both functional and degraded global coastal wetlands, and even PAs/MPAs can be degraded (Holmquist et al., 2023). This solution considered wetlands to be protected if they are formally designated as PAs or MPAs under International Union for Conservation of Nature (IUCN) protection categories I–IV (UNEP-WCMC &IUCN, 2024; see Appendix for more information).

Adame, M. F., Kelleway, J., Krauss, K. W., Lovelock, C. E., Adams, J. B., Trevathan-Tackett, S. M., Noe, G., Jeffrey, L., Ronan, M., Zann, M., Carnell, P. E., Iram, N., Maher, D. T., Murdiyarso, D., Sasmito, S., Tran, D. B., Dargusch, P., Kauffman, J. B., & Brophy, L. (2024). All tidal wetlands are blue carbon ecosystems. BioScience, 74(4), 253–268. Link to source: https://doi.org/10.1093/biosci/biae007

Balmford, A., Gravestock, P., Hockley, N., McClean, C. J., & Roberts, C. M. (2004). The worldwide costs of marine protected areas. Proceedings of the National Academy of Sciences, 101(26), 9694–9697. Link to source: https://doi.org/10.1073/pnas.0403239101

Baniewicz, T. (2020, September 2). Coastal Louisiana tribes team up with biologist to protect sacred sites from rising seas. Southerly. Link to source: https://southerlymag.org/2020/09/02/coastal-louisiana-tribes-team-up-with-biologist-to-protect-sacred-sites-from-rising-seas/

Barbier, E. B., Georgiou, I. Y., Enchelmeyer, B., & Reed, D. J. (2013). The value of wetlands in protecting southeast Louisiana from hurricane storm surges. PLoS ONE, 8(3), Article e58715. Link to source: https://doi.org/10.1371/journal.pone.0058715

Blanchard, L., Haya, B. K., Anderson, C., Badgley, G., Cullenward, D., Gao, P., Goulden, M. L., Holm, J. A., Novick, K. A., Trugman, A. T., Wang, J. A., Williams, C. A., Wu, C., Yang, L., & Anderegg, W. R. L. (2024). Funding forests’ climate potential without carbon offsets. One Earth, 7(7), 1147–1150. Link to source: https://doi.org/10.1016/j.oneear.2024.06.006

Borchert, S. M., Osland, M. J., Enwright, N. M., & Griffith, K. T. (2018). Coastal wetland adaptation to sea level rise: Quantifying potential for landward migration and coastal squeeze. Journal of Applied Ecology, 55(6), 2876–2887. Link to source: https://doi.org/10.1111/1365-2664.13169

Bruner, A. G., Gullison, R. E., & Balmford, A. (2004). Financial costs and shortfalls of managing and expanding protected-area systems in developing countries. BioScience, 54(12), 1119–1126. Link to source: https://doi.org/10.1641/0006-3568(2004)054[1119:FCASOM]2.0.CO;2

Chauhan, R., Datta, A., Ramanathan, A. L., & Adhya, T. K. (2017). Whether conversion of mangrove forest to rice cropland is environmentally and economically viable? Agriculture, Ecosystems & Environment, 246, 38–47. Link to source: https://doi.org/10.1016/j.agee.2017.05.010

Cullen-Unsworth, L. C., & Unsworth, R. (2018). A call for seagrass protection. Science, 361(6401), 446–448. Link to source: https://doi.org/10.1126/science.aat7318

Department of Climate Change, Energy, the Environment and Water. (2016). Wetlands and Indigenous values [Fact sheet]. Commonwealth of Australia. Link to source: https://www.dcceew.gov.au/sites/default/files/documents/factsheet-wetlands-indigenous-values.pdf

Dabalà, A., Dahdouh-Guebas, F., Dunn, D. C., Everett, J. D., Lovelock, C. E., Hanson, J. O., Buenafe, K. C. V., Neubert, S., & Richardson, A. J. (2023). Priority areas to protect mangroves and maximise ecosystem services. Nature Communications, 14(1), Article 5863. Link to source: https://doi.org/10.1038/s41467-023-41333-3

Davidson, N. C. (2014). How much wetland has the world lost? Long-term and recent trends in global wetland area. Marine and Freshwater Research, 65(10), 934–941. Link to source: https://doi.org/10.1071/MF14173

Di Minin, E., & Toivonen, T. (2015). Global protected area expansion: Creating more than paper parks. BioScience, 65(7), 637–638. Link to source: https://doi.org/10.1093/biosci/biv064

Dinerstein, E., Joshi, A. R., Hahn, N. R., Lee, A. T. L., Vynne, C., Burkart, K., Asner, G. P., Beckham, C., Ceballos, G., Cuthbert, R., Dirzo, R., Fankem, O., Hertel, S., Li, B. V., Mellin, H., Pharand‑Deschênes, F., Olson, D., Pandav, B., Peres, C. A., … Zolli, A. (2024). Conservation Imperatives: Securing the last unprotected terrestrial sites harboring irreplaceable biodiversity. Frontiers in Science, 2, Article 1349350. Link to source: https://doi.org/10.3389/fsci.2024.1349350

Donato, D. C., Kauffman, J. B., Murdiyarso, D., Kurnianto, S., Stidham, M., & Kanninen, M. (2011). Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience, 4(5), 293–297. Link to source: https://doi.org/10.1038/ngeo1123

Eyre, B. D., Camillini, N., Glud, R. N., & Rosentreter, J. A. (2023). The climate benefit of seagrass blue carbon is reduced by methane fluxes and enhanced by nitrous oxide fluxes. Communications Earth & Environment, 4(1), Article 374. Link to source: https://doi.org/10.1038/s43247-023-01022-x

Feng, Y., Song, Y., Zhu, M., Li, M., Gong, C., Luo, S., Mei, W., Feng, H., Tan, W., & Song, C. (2025). Microbes drive more carbon dioxide and nitrous oxide emissions from wetland under long-term nitrogen enrichment. Water Research, 272, Article 122942. Link to source: https://doi.org/10.1016/j.watres.2024.122942

Fletcher, M.-S., Hamilton, R., Dressler, W., & Palmer, L. (2021). Indigenous knowledge and the shackles of wilderness. Proceedings of the National Academy of Sciences, 118(40), Article e2022218118. Link to source: https://doi.org/10.1073/pnas.2022218118

Garnett, S. T., Burgess, N. D., Fa, J. E., Fernández-Llamazares, Á., Molnár, Z., Robinson, C. J., Watson, J. E. M., Zander, K. K., Austin, B., Brondizio, E. S., Collier, N. F., Duncan, T., Ellis, E., Geyle, H., Jackson, M. V., Jonas, H., Malmer, P., McGowan, B., Sivongxay, A., & Leiper, I. (2018). A spatial overview of the global importance of Indigenous lands for conservation. Nature Sustainability, 1(7), 369–374. https://doi.org/10.1038/s41893-018-0100-6

Giakoumi, S., McGowan, J., Mills, M., Beger, M., Bustamante, R. H., Charles, A., Christie, P., Fox, M., Garcia‑Borboroglu, P., Gelcich, S., Guidetti, P., Mackelworth, P., Maina, J. M., McCook, L., Micheli, F., Morgan, L. E., Mumby, P. J., Reyes, L. M., White, A., … Possingham, H. P. (2018). Revisiting “success” and “failure” of marine protected areas: A conservation scientist perspective. Frontiers in Marine Science, 5, Article 223. Link to source: https://doi.org/10.3389/fmars.2018.00223

Guannel, G., Arkema, K., Ruggiero, P., & Verutes, G. (2016). The power of three: Coral reefs, seagrasses and mangroves protect coastal regions and increase their resilience. PLoS ONE, 11(7), Article e0158094. Link to source: https://doi.org/10.1371/journal.pone.0158094

Green, E. P., & Short, F. T. (Eds.). (2003). World Atlas of Seagrasses. University of California Press. Link to source: https://environmentalunit.com/Documentation/04%20Resources%20at%20Risk/World%20Seagrass%20atlas.pdf

Heck, N., Goldberg, L., Andradi‐Brown, D. A., Campbell, A., Narayan, S., Ahmadia, G. N., & Lagomasino, D. (2024). Global drivers of mangrove loss in protected areas. Conservation Biology, 38(6), Article e14293. Link to source: https://doi.org/10.1111/cobi.14293

Hochard, J. P., Barbier, E. B., & Hamilton, S. E. (2021). Mangroves and coastal topography create economic “safe havens” from tropical storms. Scientific Reports, 11(1), Article 15359. Link to source: https://doi.org/10.1038/s41598-021-94207-3

Holmquist, J. R., Eagle, M., Molinari, R. L., Nick, S. K., Stachowicz, L. C., & Kroeger, K. D. (2023). Mapping methane reduction potential of tidal wetland restoration in the United States. Communications Earth & Environment, 4(1), Article 353. Link to source: https://doi.org/10.1038/s43247-023-00988-y

Hutchinson, M. (2022, September 2). How coastal erosion is affecting the sacred lands of Indigenous Louisianians. Chênière: The Nicholls Undergraduate Humanities Review. Link to source: https://www.nicholls.edu/cheniere/2022/09/02/how-coastal-erosion-is-affecting-the-sacred-lands-of-indigenous-louisianians

Ickowitz, A., Lo, M. G. Y., Nurhasan, M., Maulana, A. M., & Brown, B. M. (2023). Quantifying the contribution of mangroves to local fish consumption in Indonesia: A cross-sectional spatial analysis. The Lancet Planetary Health, 7(10), e819–e830. Link to source: https://doi.org/10.1016/S2542-5196(23)00196-1

Jensen, K. (2022, July 6). Climate benefits of coastal wetlands and coral reefs show why they merit protection now. The Pew Charitable Trusts. Link to source: https://www.pewtrusts.org/en/research-and-analysis/articles/2022/07/06/climate-benefits-of-coastal-wetlands-and-coral-reefs-show-why-they-merit-protection-now

Kroeger, K. D., Crooks, S., Moseman-Valtierra, S., & Tang, J. (2017). Restoring tides to reduce methane emissions in impounded wetlands: A new and potent Blue Carbon climate change intervention. Scientific Reports, 7(1), Article 11914. Link to source: https://doi.org/10.1038/s41598-017-12138-4

Lamb, J. B., Van De Water, J. A., Bourne, D. G., Altier, C., Hein, M. Y., Fiorenza, E. A., Abu, N., Jompa, J., & Harvell, C. D. (2017). Seagrass ecosystems reduce exposure to bacterial pathogens of humans, fishes, and invertebrates. Science, 355(6326), 731–733. Link to source: https://doi.org/10.1126/science.aal1956

Leal, M., & Spalding, M. D. (Eds.). (2022, September 21). The state of the world’s mangroves 2022. Global Mangrove Alliance. Link to source: https://www.wetlands.org/publication/the-state-of-the-worlds-mangroves-2022/

Leal, M., & Spalding, M. D. (Eds.). (2024). The state of the world’s mangroves 2024. Global Mangrove Alliance. Link to source: https://www.mangrovealliance.org/mangrove-forests/

Leverington, F., Costa, K. L., Pavese, H., Lisle, A., & Hockings, M. (2010). A global analysis of protected area management effectiveness. Environmental Management, 46(5), 685–698. Link to source: https://doi.org/10.1007/s00267-010-9564-5

Lovelock, C. E., Fourqurean, J. W., & Morris, J. T. (2017). Modeled CO2 emissions from coastal wetland transitions to other land uses: Tidal marshes, mangrove forests, and seagrass beds. Frontiers in Marine Science, 4, Article 143. Link to source: https://doi.org/10.3389/fmars.2017.00143

Lu, C., Wang, Z., Li, L., Wu, P., Mao, D., Jia, M., & Dong, Z. (2016). Assessing the conservation effectiveness of wetland protected areas in Northeast China. Wetlands Ecology and Management, 24(4), 381–398. Link to source: https://doi.org/10.1007/s11273-015-9462-y

Macreadie, P. I., Costa, M. D., Atwood, T. B., Friess, D. A., Kelleway, J. J., Kennedy, H., Lovelock, C. E., Serrano, O., & Duarte, C. M. (2021). Blue carbon as a natural climate solution. Nature Reviews Earth & Environment, 2(12), 826–839. Link to source: https://doi.org/10.1038/s43017-021-00224-1

Macreadie, P. I., Robertson, A. I., Spinks, B., Adams, M. P., Atchison, J. M., Bell‑James, J., Bryan, B. A., Chu, L., Filbee‑Dexter, K., Drake, L., Duarte, C. M., Friess, D. A., Gonzalez, F., Grafton, R. Q., Helmstedt, K. J., Kaebernick, M., Kelleway, J., Kendrick, G. A., Kennedy, H., … Rogers, K. (2022). Operationalizing marketable blue carbon. One Earth, 5(5), 485–492. Link to source: https://doi.org/10.1016/j.oneear.2022.04.005

Mason, V. G., Burden, A., Epstein, G., Jupe, L. L., Wood, K. A., & Skov, M. W. (2023). Blue carbon benefits from global saltmarsh restoration. Global Change Biology, 29(23), 6517–6545. Link to source: https://doi.org/10.1111/gcb.16943

Mathews, D. L., & Turner, N. J. (2017). Ocean cultures: Northwest Coast ecosystems and Indigenous management systems. In P. S. Levin & M. R. Poe (Eds.), Conservation for the Anthropocene ocean: Interdisciplinary science in support of nature and people (pp.169–206). Academic Press. Link to source: https://doi.org/10.1016/B978-0-12-805375-1.00009-X

McCrea-Strub, A., Zeller, D., Sumaila, U. R., Nelson, J., Balmford, A., & Pauly, D. (2011). Understanding the cost of establishing marine protected areas. Marine Policy, 35(1), 1–9. Link to source: https://doi.org/10.1016/j.marpol.2010.07.001

Mcleod, E., Chmura, G. L., Bouillon, S., Salm, R., Björk, M., Duarte, C. M., Lovelock, C. E., Schlesinger, W. H., & Silliman, B. R. (2011). A blueprint for blue carbon: Toward an improved understanding of the role of vegetated coastal habitats in sequestering CO2. Frontiers in Ecology and the Environment, 9(10), 552–560. Link to source: https://doi.org/10.1890/110004

McIvor, A. L., Spencer, T., Möller, I., & Spalding, M. (2012). Storm surge reduction by mangroves (Natural Coastal Protection Series: Report No. 2). The Nature Conservancy and Wetlands International. Link to source: https://www.mangrovealliance.org/wp-content/uploads/2018/05/storm-surge-reduction-by-mangroves-1.pdf

McNally, C. G., Uchida, E. and Gold, A. J. (2011). The effect of a protected area on the tradeoffs between short-run and long-run benefits from mangrove ecosystems. Proceedings of the National Academy of Sciences, 108(34), 13945–13950. Link to source: https://doi.org/10.1073/pnas.1101825108

Menéndez, P., Losada, I. J., Torres-Ortega, S., Narayan, S., & Beck, M. W. (2020). The Global Flood Protection Benefits of Mangroves. Scientific Reports, 10(1), 4404. Link to source: https://doi.org/10.1038/s41598-020-61136-6 

Noyce, G. L., Smith, A. J., Kirwan, M. L., Rich, R. L., & Megonigal, J. P. (2023). Oxygen priming induced by elevated CO2 reduces carbon accumulation and methane emissions in coastal wetlands. Nature Geoscience, 16(1), 63–68. Link to source: https://doi.org/10.1038/s41561-022-01070-6

Mcowen, C. J., Weatherdon, L. V., Van Bochove, J.-W., Sullivan, E., Blyth, S., Zockler, C., Stanwell-Smith, D., Kingston, N., Martin, C. S., Spalding, M., & Fletcher, S. (2017). A global map of saltmarshes. Biodiversity Data Journal, 5, Article e11764. Link to source: https://doi.org/10.3897/BDJ.5.e11764

Narayan, S., Beck, M. W., Wilson, P., Thomas, C. J., Guerrero, A., Shepard, C. C., Reguero, B. G., Franco, G., Ingram, J. C., & Trespalacios, D. (2017). The value of coastal wetlands for flood damage reduction in the Northeastern USA. Scientific Reports, 7(1), Article 9463. Link to source: https://doi.org/10.1038/s41598-017-09269-z

Pendleton, L., Donato, D. C., Murray, B. C., Crooks, S., Jenkins, W. A., Sifleet, S., Craft, C., Fourqurean, J. W., Kauffman, J. B., Marbà, N., Megonigal, J. P., Pidgeon, E., Herr, D., Gordon, D., & Baldera, A. (2012). Estimating global “blue carbon” emissions from conversion and degradation of vegetated coastal ecosystems. PLoS ONE, 7(9), Article e43542. Link to source: https://doi.org/10.1371/journal.pone.0043542

Renwick, A. R., Bode, M., & Venter, O. (2015). Reserves in context: Planning for leakage from protected areas. PLoS ONE, 10(6), Article e0129441. Link to source: https://doi.org/10.1371/journal.pone.0129441

Roberts, C. M., O'Leary, B. C., & Hawkins, J. P. (2020). Climate change mitigation and nature conservation both require higher protected area targets. Philosophical Transactions of the Royal Society B, 375(1794), Article 20190121. Link to source: https://doi.org/10.1098/rstb.2019.0121

Rodríguez-Rodríguez, D., & Martínez-Vega, J. (2022). Ecological effectiveness of marine protected areas across the globe in the scientific literature. In C. Sheppard (Ed.), Advances in marine biology (Vol. 92, pp. 129–153). Elsevier. Link to source: https://doi.org/10.1016/bs.amb.2022.07.002

Rosentreter, J. A., Maher, D. T., Erler, D. V., Murray, R. H., & Eyre, B. D. (2018). Methane emissions partially offset “blue carbon” burial in mangroves. Science Advances, 4(6), Article eaao4985. Link to source: https://doi.org/10.1126/sciadv.aao4985

Sasmito, S. D., Taillardat, P., Clendenning, J. N., Cameron, C., Friess, D. A., Murdiyarso, D., & Hutley, L. B. (2019). Effect of land‐use and land‐cover change on mangrove blue carbon: A systematic review. Global Change Biology, 25(12), 4291–4302. Link to source: https://doi.org/10.1111/gcb.14774

Schuerch, M., Spencer, T., Temmerman, S., Kirwan, M. L., Wolff, C., Lincke, D., McOwen, C. J., Pickering, M. D., Reef, R., Vafeidis, A. T., Hinkel, J., Nicholls, R. J., & Brown, S. (2018). Future response of global coastal wetlands to sea-level rise. Nature, 561(7722), 231–234. Link to source: https://doi.org/10.1038/s41586-018-0476-5

Sheng, P., Y., Paramygin, V. A., Rivera-Nieves, A. A., Zou, R., Fernald, S., Hall, T., & Jacob, K. (2022). Coastal marshes provide valuable protection for coastal communities from storm-induced wave, flood, and structural loss in a changing climate. Scientific Reports, 12(1), Article 3051. Link to source: https://doi.org/10.1038/s41598-022-06850-z

Temmink, R. J. M., Lamers, L. P. M., Angelini, C., Bouma, T. J., Fritz, C., van de Koppel, J., Lexmond, R., Rietkerk, M., Silliman, B. R., Joosten, H., & van der Heide, T. (2022). Recovering wetland biogeomorphic feedbacks to restore the world’s biotic carbon hotspots. Science, 376(6593), Article eabn1479. Link to source: https://doi.org/10.1126/science.abn1479

Thampanya, U., Vermaat, J. E., Sinsakul, S., & Panapitukkul, N. (2006). Coastal erosion and mangrove progradation of Southern Thailand. Estuarine, Coastal and Shelf Science, 68(1–2), 75–85. Link to source: https://doi.org/10.1016/j.ecss.2006.01.011

Trevathan‐Tackett, S. M., Wessel, C., Cebrián, J., Ralph, P. J., Masqué, P., & Macreadie, P. I. (2018). Effects of small‐scale, shading‐induced seagrass loss on blue carbon storage: Implications for management of degraded seagrass ecosystems. Journal of Applied Ecology, 55(3), 1351–1359. Link to source: https://doi.org/10.1111/1365-2664.13081

Unsworth, R. K. F., Cullen-Unsworth, L. C., Jones, B. L. H., & Lilley, R. J. (2022). The planetary role of seagrass conservation. Science, 377(6606), 609–613. Link to source: https://doi.org/10.1126/science.abq6923

UNEP-WCMC, & IUCN. (2024). Protected planet: The world database on protected areas (WDPA) and world database on other effective area-based conservation measures (WD-OECM) [Data set]. Retrieved November 2024, from https://www.protectedplanet.net

United Nations Environment Programme. (2014). The importance of mangroves to people: A call to action (J. van Bochove, E. Sullivan, & T. Nakamura, Eds.). United Nations Environment Programme World Conservation Monitoring Centre. Link to source: https://www.unep.org/resources/report/importance-mangroves-people-call-action

United Nations Environment Programme. (2020). Out of the blue: The value of seagrasses to the environment and to people. Link to source: https://www.unep.org/resources/report/out-blue-value-seagrasses-environment-and-people

U.S. Environmental Protection Agency. (2025a). Why are wetlands important? Link to source: https://www.epa.gov/wetlands/why-are-wetlands-important

U.S. Environmental Protection Agency. (2025b). About coastal wetlands. Link to source: https://www.epa.gov/wetlands/about-coastal-wetlands

Waldron, A., Adams, V., Allan, J., Arnell, A., Asner, G., Atkinson, S., Baccini, A., Baillie, J. E. M., Balmford, A., Beau, J. A., Brander, L., Brondizio, E., Bruner, A., Burgess, N., Burkart, K., Butchart, S., Button, R., Carrasco, R., Cheung, W., … Zhang, Y. P. (2020). Protecting 30% of the planet for nature: Costs, benefits and economic implications [Working paper]. Campaign for Nature. Link to source: https://pure.iiasa.ac.at/id/eprint/16560/1/Waldron_Report_FINAL_sml.pdf

Wang, F., Sanders, C. J., Santos, I. R., Tang, J., Schuerch, M., Kirwan, M. L., Kopp, R. E., Zhu, K., Li, X., Yuan, J., Liu, W., & Li, Z. (2021). Global blue carbon accumulation in tidal wetlands increases with climate change. National Science Review, 8(9), Article nwaa296. Link to source: https://doi.org/10.1093/nsr/nwaa296

West, T. A. P., Wunder, S., Sills, E. O., Börner, J., Rifai, S. W., Neidermeier, A. N., Frey, G. P., & Kontoleon, A. (2023). Action needed to make carbon offsets from forest conservation work for climate change mitigation. Science, 381(6660), 873–877. Link to source: https://doi.org/10.1126/science.ade3535

Worthington, T. A., Spalding, M., Landis, E., Maxwell, T. L., Navarro, A., Smart, L. S., & Murray, N. J. (2024). The distribution of global tidal marshes from Earth observation data. Global Ecology and Biogeography, 33(8), Article e13852. Link to source: https://doi.org/10.1111/geb.13852

Credits

Lead Fellow

  • Christina Richardson, Ph.D.

Contributors

  • Ruthie Burrows, Ph.D.

  • Avery Driscoll

  • James Gerber, Ph.D.

  • Daniel Jasper

  • Christina Swanson, Ph.D.

  • Alex Sweeney

  • Paul West, Ph.D.

Internal Reviewers

  • Aiyana Bodi

  • Avery Driscoll

  • James Gerber, Ph.D.

  • Hannah Henkin

  • Ted Otte

  • Christina Swanson, Ph.D.

Effectiveness

We estimated that coastal wetland protection avoids emissions of 2.33–5.74 t CO₂‑eq /ha/yr, while also sequestering an additional 1.22–2.14 t CO₂‑eq /ha/yr depending on the ecosystem (Tables 1a–c; see the Appendix for more information). We estimated effectiveness as the avoided CO₂ emissions and the retained carbon sequestration capacity attributable to the reduction in wetland loss conferred by protection, as detailed in Equation 1. First, we calculated the difference between the rate of wetland loss outside PAs and MPAs (Wetland lossbaseline) versus inside PAs and MPAs, since protection does not entirely prevent degradation. Loss rates were primarily driven by anthropogenic habitat conversion. The effectiveness of protection was 53–59% (Reduction in loss). We then multiplied the avoided wetland loss by the sum of the avoided CO₂ emissions associated with the loss of carbon stored in sediment and biomass in one ha of wetland each year over a 30-yr timeframe (Carbonavoided emissions) and the amount of carbon sequestered via long-term storage in sediment carbon by one ha of protected wetland each year over a 30-yr timeframe (Carbonsequestration).

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Equation 1.

\[ Effectiveness = (Wetland\text{ }loss_{baseline}\times Reduction\text{ }in\text{ }loss)\times(Carbon_{avoided\text{ } emissions} + Carbon_{sequestration}) \]

We did this calculation separately for mangrove, salt marsh, and seagrass ecosystems, because many of these factors, such as carbon emission and sequestration rates, protection effectiveness, and loss rates, vary across ecosystem types. The rationale for increasing protection varies between coastal wetland ecosystem types, but in all cases, protection is an important tool for retaining and building long-lived carbon stocks. Additionally, climate impacts associated with this solution could be much greater than estimated if protection efficacy improves or is higher than our estimates of 53–59%. 

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Table 1a. Effectiveness at avoiding emissions and sequestering carbon in mangrove ecosystems.

Unit: t CO₂‑eq /ha protected/yr, 100-yr basis

25th percentile 5.64
Mean 6.80
Median (50th percentile) 5.74
75th percentile 7.42

Unit: t CO₂‑eq /ha protected/yr, 100-yr basis

25th percentile 2.00
Mean 2.14
Median (50th percentile) 2.14
75th percentile 2.38

Unit: t CO₂‑eq /ha protected/yr, 100-yr basis

25th percentile 7.64
Mean 8.94
Median (50th percentile) 7.88
75th percentile 9.81
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Table 1b. Effectiveness at avoiding emissions and sequestering carbon in salt marsh ecosystems.

Unit: t CO₂‑eq /ha protected/yr, 100-yr basis 

25th percentile 2.79
Mean 2.90
Median (50th percentile) 2.90
75th percentile 3.01

Unit: t CO₂‑eq /ha protected/yr, 100-yr basis

25th percentile 1.59
Mean 1.90
Median (50th percentile) 1.88
75th percentile 2.19

Unit: t CO₂‑eq /ha protected/yr, 100-yr basis

25th percentile 4.38
Mean 4.80
Median (50th percentile) 4.78
75th percentile 5.20
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Table 1c. Effectiveness at avoiding emissions and sequestering carbon in seagrass ecosystems.

Unit: t CO₂‑eq /ha protected/yr, 100-yr basis

25th percentile 2.11
Mean 2.33
Median (50th percentile) 2.33
75th percentile 2.56

Unit: t CO₂‑eq /ha protected/yr, 100-yr basis

25th percentile 1.04
Mean 1.53
Median (50th percentile) 1.22
75th percentile 1.71

Unit: t CO₂‑eq /ha protected/yr, 100-yr basis

25th percentile 3.15
Mean 3.86
Median (50th percentile) 3.56
75th percentile 4.27
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Cost

We estimate that coastal wetland protection costs approximately US$1–2/t CO₂‑eq for mangrove and salt marsh ecosystems and seagrass ecosystem protection saves US$6/t CO₂‑eq (Tables 2a–c). This is based on protection costs of roughly US$11/ha and revenue of US$23/ha compared with the baseline for mangrove/salt marsh and seagrass ecosystems, respectively. However, data related to the costs of coastal wetland protection are extremely limited, and these estimates are uncertain. These estimates likely underestimate the potentially high costs of coastal land acquisition, for instance.

The costs of coastal wetland protection include up-front costs of land acquisition (for salt marshes and mangroves) and other one-time expenditures as well as ongoing operational costs. Protecting coastal wetlands also generates revenue, primarily through increased tourism. For consistency across solutions, we did not include revenue associated with benefits other than climate change mitigation.

Due to data limitations, we estimated the cost of land acquisition for ecosystem protection for mangroves and salt marshes by extracting coastal forest land purchase costs reported by Dinerstein et al. (2024), who found a median cost of US$1,115/ha (range: US$78–5,910/ha), which we amortized over 30 years. For seagrass ecosystems, which do not generally require land acquisition, we based initial costs were on McCrea-Strub et al.’s (2011) findings that reported a median MPA start-up cost of US$208/ha (range: US$55–434/ha) to cover expenses associated with infrastructure, planning, and site research, which we amortized over 30 years.

Costs of PA maintenance were estimated as US$17/ha/yr (Waldron et al., 2020). While these estimates reflect the costs of effective enforcement and management, many PAs lack sufficient funding for effective management (Bruner et al., 2004). Costs of MPA maintenance were estimated at US$14/ha/yr, though only 16% of the MPAs surveyed in this study reported their current funding as sufficient (Balmford et al., 2004). Tourism revenues directly attributable to protection were estimated to be US$43/ha/yr (Waldron et al., 2020) based on estimates for all PAs and MPAs and excluding downstream revenues. For consistency across solutions, we did not include revenues associated with ecosystem services, which would increase projected revenue.

We also excluded carbon credits as a revenue source due to the challenges inherent in accurate carbon accounting in these ecosystems and their frequently intended use to offset carbon emissions, similar to reported concerns with low-quality carbon credits in forest conservation projects (West et al., 2023). Future actions could explore policies that increase market financing for coastal wetland protection in more holistic ways, such as contributions-based approaches as suggested for forests (Blanchard et al., 2024). Financial support will be critical for backing conservation implementation (Macreadie et al., 2022), particularly in the face of existing political and economic challenges that have historically limited expansion. 

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Table 2. Cost per unit climate impact.

Unit: 2023 US$/t CO₂‑eq , 100-yr basis

Estimate 1

Unit: 2023 US$/t CO₂‑eq , 100-yr basis

Estimate 2

Unit: 2023 US$/t CO₂‑eq , 100-yr basis

Estimate -6

Negative value indicates cost savings.

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Learning Curve

We define a learning curve as falling costs with increased adoption. The costs of coastal wetland protection do not fall with increasing adoption, so there is no learning curve for this solution.

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Speed of Action

Speed of action refers to how quickly a climate solution physically affects the atmosphere after it is deployed. This is different from speed of deployment, which is the pace at which solutions are adopted.

At Project Drawdown, we define the speed of action for each climate solution as emergency brake, gradual, or delayed.

Protect Coastal Wetlands is an EMERGENCY BRAKE climate solution. It has the potential to deliver a more rapid impact than gradual and delayed solutions. Because emergency brake solutions can deliver their climate benefits quickly, they can help accelerate our efforts to address dangerous levels of climate change. For this reason, they are a high priority.

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Caveats

Additionality in this solution refers to whether the ecosystem would have been degraded without protection. In this analysis, we assumed protection confers additional carbon benefits as it reduces degradation and associated emissions. Another aspect of additionality, though not directly relevant to our analysis, is whether coastal wetlands would have been protected in the absence of carbon financing. This could become increasingly important if protection efforts seek carbon credits, since many wetlands are protected for other benefits, such as flood resilience and biodiversity.

The permanence of stored carbon in coastal wetlands is another critical issue as climate change impacts unfold. For instance, with sea-level rise, the ability of salt marshes to expand both vertically and laterally can determine resiliency, suggesting that protection of wetlands might also need to include adjacent areas for expansion (Schuerch et al., 2018). On a global scale, recent research suggests that global carbon accumulation might actually increase by 2100 from climate change impacts on tidal wetlands (Wang et al., 2021), though more work is needed as other work suggests the opposite (Noyce et al., 2023). There is also substantial risk of reversal of carbon benefits if protections are reversed or unenforced, which can require long-term financial investments, community engagement, and management/enforcement commitments (Giakoumi et al., 2018), particularly if the land is leased.

Finally, there are significant uncertainties associated with the available data on coastal wetland areas and distributions, loss rates, drivers of loss, extent and boundaries of PAs/MPAs, and efficacy of PAs/MPAs at reducing coastal wetland disturbance. For example, the geospatial datasets we used to identify the adoption ceiling for this solution could include partially degraded systems, such as drained wetlands, where protection alone would not stop emissions or restore function without restoration – yet we lack enough data to distinguish these current differences at a global scale. Similarly, legal protection of coastal wetlands does not always prevent degradation (Heck et al., 2024). The emissions dynamics of both intact and degraded coastal wetlands are also uncertain. Even less is known about the impacts of different types of degradation on coastal wetland carbon dynamics and how they vary spatially and temporally around the world.

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Current Adoption

We estimated that approximately 8.04 million ha of coastal wetlands are currently protected, with 5.13 million ha recognized as PAs and MPAs in strict (I–II) protection categories and 2.90 million ha in non-strict protection categories (III–IV) (Tables 3a–c; Garnett et al., 2018; UNEP-WCMC & IUCN, 2024, see Appendix). Indigenous People’s Lands (IPLs) cover an additional 3.44 million ha; we did not include these in our analysis due to limited data, but we recognize that these sites might currently deliver conservation benefits. In total, we estimate that roughly 15% of all coastal wetlands have some protection (as MPAs or PAs in IUCN categories I–IV), though only about 9% are under strict protection (IUCN categories I or II). Across individual ecosystem types, strict protection categories (IUCN I–II) are highest for mangroves (~15%) and lowest for seagrasses (~7%).

Our estimates of PA and MPA protection (12–19%) were lower than previously reported estimates for mangroves (40–43%, Dabalà et al., 2023; Leal and Spalding, 2024), tidal marshes (45%, Worthington et al., 2024), and seagrasses (26%, United Nations Environment Programme [UNEP], 2020). This is likely because our calculations excluded IUCN categories (“not assigned,” “not applicable,” and “not reported”) that contain large areal estimates for each ecosystem type – 4.3 million ha (mangrove), 1.9 million ha (salt marsh), and 5.4 million ha (seagrasses) – because their protection category was unclear as well as IUCN protection categories V–VI, which permit sustainable use and where extractive activities that could degrade these ecosystems are less formally restricted. Our spatial analysis also differed (see Appendix).

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Table 3. Current extent of ecosystems under legal protection by ecosystem type (circa 2023). “Strict Protection” includes land within IUCN Categories I–II PAs or MPAs. “Nonstrict Protection” includes land within IUCN Categories III–IV PAs or MPAs. “Other” includes land within all remaining IUCN PA or MPA categories.

Unit: million ha protected

Strict protection 2.35
Nonstrict protection 0.59
Total (strict + nonstrict) 2.94
IPL 1.86
Other 7.52

Unit: million ha protected

Strict protection 0.62
Nonstrict protection 0.62
Total (strict + nonstrict) 1.24
IPL 1.09
Other 3.14

Unit: million ha protected

Strict protection 2.17
Nonstrict protection 1.69
Total (strict + nonstrict) 3.86
IPL 0.49
Other 9.00
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Adoption Trend

We calculated the rate of PA and MPA expansion based on their recorded year of establishment. Protection expanded by an average of 59,600, 19,700, and 98,500 ha/yr in mangrove, salt marsh, and seagrass ecosystems, respectively (Tables 4a–c; Figure 3a). Salt marsh ecosystems have the lowest absolute rate of coastal wetland protection expansion (Figure 3b), while seagrasses have the lowest expansion of PAs relative to their adoption ceiling (Figure 3, right). The median total annual adoption trend across the three ecosystems is roughly 123,100 ha/yr (roughly 0.12 million ha/yr).

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Table 4. 2000–2020 adoption trend for legal protection of ecosystems.

Unit: ha/yr protected

25th percentile 23,500
Mean 59,600
Median (50th percentile) 40,700
75th percentile 76,600

Unit: ha/yr protected

25th percentile 8,400
Mean 19,700
Median (50th percentile) 18,500
75th percentile 23,300

Unit: ha/yr protected

25th percentile 12,800
Mean 98,500
Median (50th percentile) 37,800
75th percentile 142,900
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Figure 3. (a) Areal trend in coastal wetland protection by ecosystem type (2000–2020). These values reflect only the area located within IUCN Class I–IV PAs or MPAs; (ha/yr protected). (b) Trend in coastal wetland protection by ecosystem type as a percent of the adoption ceiling. These values reflect only the area located within IUCN Class I–IV PAs or MPAs; (Percent). Source: Project Drawdown original analysis.

Credit: Project Drawdown

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Adoption Ceiling

We estimate an adoption ceiling of 54.6 million ha of coastal wetlands globally, which includes 15.7 million ha of mangroves, 7.50 million ha of salt marshes, and 31.4 million ha of seagrasses (Tables 5a–c). This estimate is in line with recent existing global estimates of coastal wetlands (36–185 million ha), which have large ranges due to uncertainties surrounding seagrass and salt marsh distributions (Macreadie et al., 2021, Krause et al., 2025). The adoption ceiling of our solution is therefore a conservative estimate of potential climate impact if global areas are indeed larger than calculated. While the protection of all existing coastal wetlands is highly unlikely, these values are used to represent the technical limits of adoption of this solution.

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Table 5. Adoption ceiling: upper limit for adoption of legal protection of ecosystems.

Unit: million ha protected

Estimate 15.7

Unit: million ha protected

Estimate 7.50

Unit: million ha protected

Estimate 31.4
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Achievable Adoption

We defined the lower end of the achievable range for coastal wetland protection (under IUCN categories I–IV) as 50% of the adoption ceiling and the higher end of the achievable range as 70% of the adoption ceiling for each ecosystem (Tables 6a–c). These numbers are ambitious but precedent exists to support them. For instance, roughly 11 countries already protect over 70% of their mangroves (Dabalà et al., 2023), and the global “30 by 30” target aims to protect 30% of ecosystems on land and in the ocean by 2030 (Roberts et al., 2020). Further, a significant extent of existing global coastal wetland areas already fall under non-strict protection categories not included in our analysis (V–VI and “Other”). These are prime candidates for conversion to stricter protection categories, so long as the designation confers real conservation benefits; recent work suggests that stricter protection can coincide with increased degradation in some mangroves (Heck et al., 2024).

Current adoption of PAs and MPAs in many countries with the highest land areas of coastal wetlands is low. For example, protection levels (IUCN I–IV) in countries with the top 10 greatest mangrove areas ranges between less than 1% (India, Myanmar, Nigeria, and Papua New Guinea) to 8.8–21.2% (Australia, Bangladesh, Brazil, Indonesia, Malaysia, and Mexico;Dabalà et al., 2023). Expansion of PAs, particularly under IUCN I–IV categories, is a significant challenge with real implementation barriers due to competing land uses and local reliance on these areas for livelihoods. Further, protection does not guarantee conservation benefits, and significant funding is required to maintain/enforce these areas or they run the risk of becoming “paper parks” (Di Minin & Toivonen, 2015). Strong policy and financial incentives for conservation will be necessary to achieve these ambitious goals. Pathways for operationalizing protection could include finance, governance, and stakeholder alignment and will likely require a combination of these tactics around the world. 

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Table 6. Range of achievable adoption levels for ecosystems.

Unit: million ha protected

Current adoption 2.94
Achievable – low 7.85
Achievable – high 11.0
Adoption ceiling 15.7

Unit: million ha protected

Current adoption 1.24
Achievable – low 3.75
Achievable – high 5.25
Adoption ceiling 7.50

Unit: million ha protected

Current adoption 3.86
Achievable – low 15.7
Achievable – high 22.0
Adoption ceiling 31.4
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We estimated that coastal wetland protection currently avoids approximately 0.04 Gt CO₂‑eq/yr, with potential impacts of 0.27 Gt CO₂‑eq/yr at the adoption ceiling (Table 7a–c, see Appendix for more information on the calculations). The lower-end achievable scenario (50% protection) would avoid 0.14 Gt CO₂‑eq/yr, and the upper-end achievable scenario (70% protection) would avoid 0.20 Gt CO₂‑eq/yr (Tables 7a–c). These values are in line with Macreadie et al. (2021), who estimated a maximum mitigation potential from avoided emissions due to degradation (land conversion) of 0.30 (range: 0.14–0.47) Gt CO₂‑eq/yr for mangrove, salt marsh, and seagrass ecosystems. Our estimate was slightly lower, but within their range, and differed in a few key ways. We accounted for the effectiveness of protection at reducing degradation (53–59%, instead of assuming 100%), included retained carbon sequestration with each hectare protected, and used slightly different loss rates and ecosystem areas.

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Table 7. Climate impact at different levels of adoption for ecosystems.

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current adoption 0.02
Achievable – low 0.06
Achievable – high 0.09
Adoption ceiling 0.12

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current adoption 0.01
Achievable – low 0.02
Achievable – high 0.03
Adoption ceiling 0.04

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current adoption 0.01
Achievable – low 0.06
Achievable – high 0.08
Adoption ceiling 0.11
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Additional Benefits

Extreme Weather Events

Wetlands buffer coastal communities from waves and storm surge due to extreme weather and have important roles in disaster risk mitigation (Sheng et al., 2022; Guannel et al., 2016). Mangroves slow the flow of water and reduce surface waves to protect more than 60 million people in low-lying coastal areas, mainly in low- and middle-income countries (McIvor et al., 2012; Hochard et al., 2021). Wetlands also protect structures against damage during storms and lead to savings in insurance claims (Barbier et al., 2013; Sheng et al., 2022). Mangroves provide an estimated US$65 billion in flood protection globally (Menéndez et al., 2020). A study of the damages of Hurricane Sandy found that wetlands in the northeastern United States avoided US$625 million in direct flood damages (Narayan et al., 2017).

Income and Work

Wetlands are a contributor to local livelihoods, providing employment for coastal populations via the fisheries and tourism that they support. Coastal ecosystems, such as mangroves, are crucial for subsistence fisheries as they sustain approximately 4.1 million small-scale fishers (Leal and Spalding, 2022). Wetlands provide sources of income for low-income coastal communities as they make small-scale fishing accessible, requiring limited gear and materials to fish (Cullen-Unsworth & Unsworth, 2018). The economic value of mangrove ecosystem services is estimated at US$33,000–57,000/ha/yr and is a major contributor to the national economies of low- and middle-income countries with mangroves (UNEP, 2014).

Food Security

Mangroves support the development of numerous commercially important fish species and strengthen overall fishery productivity. For example, research conducted across 6,000 villages in Indonesia found that rural coastal households near high and medium-density mangroves consumed more fish and aquatic animals than households without mangroves nearby (Ickowitz et al., 2023). Seagrasses also support fisheries as 20% of the world’s largest fisheries rely on seagrasses for habitats (Jensen, 2022). The amount and diversity of species within seagrasses also provide important nutrition for fishery species (Cullen-Unsworth & Unsworth, 2018).

Equality

Coastal wetlands are significant in cultural heritages and identities for nearby people. They can be associated with historical, religious, and spiritual values for communities and especially for Indigenous communities (UNEP, 2014). For example, a combination of sea-level rise and oil and gas drilling have contributed to the decline of coastal wetlands in Louisiana, which threatens livelihoods and deep spiritual ties of local Indigenous tribes (Baniewicz, 2020; Hutchinson, 2022). Indigenous people have a long history of managing and protecting coastal wetlands (Mathews & Turner, 2017). Efforts to protect these areas must include legal recognition of Indigenous ownership to support a just and sustainable conservation process (Fletcher et al., 2021).

Nature Protection

Coastal wetlands are integral in supporting the biodiversity of surrounding watersheds. High species diversity of mangroves and seagrasses provide a unique habitat for marine life, birds, insects, and mammals, and contain numerous threatened or endangered species (Green and Short, 2003; U.S. EPA, 2025a). A variety of species rely on wetlands for food and shelter, and they can provide temporary habitats for species during critical times in their life cycles, such as migration and breeding (Unsworth et al., 2022). Wetlands can improve water quality, making the surrounding ecosystem more favorable to supporting marine life (Cullen-Unsworth & Unsworth, 2018). Seagrasses can improve coral health by filtering water and reducing pathogens that could cause disease (Cullen-Unsworth & Unsworth, 2018).

Land Resources

Wetlands reduce coastal erosion which can benefit local communities during strong storms (Jensen, 2022). Wetlands mitigate erosion impacts by absorbing wave energy that would degrade sand and other marine sediments (U.S. EPA, 2025b). Specifically, mangroves reduce erosion through their aerial root structure that retain sediments that would otherwise degrade the shoreline (Thampanya et al., 2006).

Water Quality

Coastal wetlands improve the water quality of watersheds by filtering chemicals, particles (including microplastics), sediment, and cycling nutrients (Unsworth et al. 2022). There is even evidence that wetlands can remove viruses and bacteria from water, leading to better sanitation and health for marine wildlife and humans (Lamb et al., 2017).

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Risks

There are several risks associated with coastal wetland protection. Leakage, wherein protection in one region could prompt degradation of another, could reduce climate benefits (Renwick et al., 2015). Strict conservation of coastal wetlands could impact local economies, creating “poverty traps” if protection threatens livelihoods (McNally et al., 2011). Conservation projects also risk unequal distribution of benefits (Lang et al., 2023). In places where habitats are fragmented or existing infrastructure limits landward migration, even protected coastal wetlands are at risk of being lost with climate change (commonly known as “the coastal squeeze”; Borchert et al., 2018). Funding gaps risk reversal of climate benefits despite initial conservation efforts; most MPAs and PAs report a lack of funding (Balmford et al., 2004; Bruner et al., 2004). If coastal wetlands are subjected to human impacts that protection cannot prevent, such as upgradient nutrient pollution, there could also be a risk of increased GHG emissions (Feng et al., 2025) and ecosystem degradation.

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Interactions with Other Solutions

Reinforcing

Other ecosystems often occur adjacent to areas of coastal wetlands, and the health of nearby ecosystems can be improved by the services provided by intact coastal wetlands (and vice versa). 

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Competing

Mangrove deforestation can occur for fuel wood needs. Fuel wood sourced from mangroves could be replaced with wood sourced from other forested ecosystems.

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Protecting coastal wetlands could limit near-shore land availability for renewable energy technologies and competes with the following solution for land:

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Dashboard

Solution Basics

ha protected

t CO₂-eq (100-yr)/unit/yr
07.647.88
units
Current 2.94×10⁶ 07.85×10⁶1.1×10⁷
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.02 0.060.09
US$ per t CO₂-eq
1
Emergency Brake

CO₂

Solution Basics

ha protected

t CO₂-eq (100-yr)/unit/yr
04.384.78
units
Current 1.24×10⁶ 03.75×10⁶5.25×10⁶
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.01 0.020.03
US$ per t CO₂-eq
2
Emergency Brake

CO₂

Solution Basics

ha protected

t CO₂-eq (100-yr)/unit/yr
03.153.56
units
Current 3.86×10⁶ 01.57×10⁷2.2×10⁷
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.01 0.060.08
US$ per t CO₂-eq
-6
Emergency Brake

CO₂

Trade-offs

Trade-offs associated with protection of coastal wetlands include emission of other GHGs not quantified in this solution that have higher global warming potentials (GWP) than CO₂. Methane and nitrous oxide emissions can be measurable in coastal wetland ecosystems, though it is important to recognize that degradation can significantly impact the magnitude and types of effluxes, too. In mangroves, methane evasion can offset carbon burial by almost 20% based on a 20-yr GWP (Rosentreter et al., 2018). In seagrasses, methane and nitrous oxide effluxes can offset burial on average, globally, by 33.4% based on a 20-yr GWP and 7.0% based on a 100-yr GWP (Eyre et al., 2023). Finally, conservation of coastal land can also restrict development of desirable coastal property for other uses.

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% mangroves
> 0100

Global mangrove ecosystem distribution

Mangrove ecosystems cover approximately 15.7 million ha globally; just five countries (Australia, Brazil, Indonesia, Mexico, and Nigeria) contain nearly 50% of the world’s mangrove ecosystem area (FAO, 2020). Green shaded areas indicate the general location of mangrove ecosystems; zoom in for details.

Liu, L., Zhang, X., & Zhao, T. (2022). GWL_FCS30: global 30 m wetland map with fine classification system using multi-sourced and time-series remote sensing imagery in 2020 [Data set, Version 1]. Link to source: https://doi.org/10.5281/zenodo.7340516

% mangroves
> 0100

Global mangrove ecosystem distribution

Mangrove ecosystems cover approximately 15.7 million ha globally; just five countries (Australia, Brazil, Indonesia, Mexico, and Nigeria) contain nearly 50% of the world’s mangrove ecosystem area (FAO, 2020). Green shaded areas indicate the general location of mangrove ecosystems; zoom in for details.

Liu, L., Zhang, X., & Zhao, T. (2022). GWL_FCS30: global 30 m wetland map with fine classification system using multi-sourced and time-series remote sensing imagery in 2020 [Data set, Version 1]. Link to source: https://doi.org/10.5281/zenodo.7340516

Maps Introduction

The current adoption, potential adoption, and effectiveness of coastal wetland protection is ecosystem-dependent (mangroves, salt marshes, seagrasses) and geographically variable. While coastal wetland protection can help avoid GHG emissions anywhere they occur, ecosystems with high rates of loss from human activity, and large unprotected areas have the greatest potential for avoiding emissions via protection. 

For instance, seagrass ecosystems have the lowest current adoption of protection, ~12%, and highest adoption ceiling (31.4 Mha) (Tables 3 and 6). Protecting seagrasses also potentially can save money (–US$23/ha, Table 2) because they do not generally require land purchase (McCrea-Strub et al., 2011). Protection of seagrasses could therefore provide meaningful climate impact as well as substantial economic and ecologic benefits (Unsworth et al., 2022). 

For seagrasses, countries like Australia (~10 Mha), Indonesia (~3 Mha), the United States (~0.5 Mha), and regions such as the Gulf of Mexico (~2 Mha) and the Western Mediterranean (~0.4 Mha), could be good initial targets for protection due to their significant seagrass extents (Green and Short, 2003). Countries that contain the top 10 largest areas of mangroves (Australia, Bangladesh, Brazil, India, Indonesia, Malaysia, Mexico, Myanmar, Nigeria, Papua New Guinea) might have the greatest potential to significantly expand adoption and scale climate impact (Dabalà et al., 2023). Likewise, salt marsh protection might be most beneficial in countries with the greatest extent, such as the United States (~1.7 Mha), Australia (~1.3 Mha), Russia (~0.7 Mha), and China (~0.6 Mha) (Mcowen et al., 2017).

Action Word
Protect
Solution Title
Coastal Wetlands
Classification
Highly Recommended
Lawmakers and Policymakers
  • Grant Indigenous communities full property rights and autonomy; support them in monitoring, managing, and enforcing MPAs/PAs/IPLs.
  • Ensure effective enforcement and monitoring of existing PAs using real-time and satellite data, if available.
  • Create or strengthen legislative protections for coastal wetlands, requiring their consideration during land use planning and allowing for local decision-making.
  • Start expanding PAs by first designating coastal wetlands adjacent to existing MPAs/PAs/IPLs.
  • Increase designated PAs and MPAs and consider all benefits (e.g., climate, human well-being, biodiversity) and dynamics (e.g., water flows, soil, agriculture) when designating PAs to ensure maximum benefits.
  • Ensure PAs and MPAs don’t displace, violate rights, or reduce access to vital resources for local and Indigenous communities.
  • Classify and map coastal wetlands and tidal information; create local, national, and international standards for classification.
  • Integrate river, watershed, and dam management into coastal wetland protection.
  • Streamline regulations and legal requirements, when possible to simplify management and designation of MPAs/PAs/IPLs.
  • Use financial incentives such as subsidies, tax breaks, payments for ecosystem services (PES), and debt-for-nature swaps to protect coastal wetlands from development.
  • Conduct proactive land-use planning to avoid roads and other development projects that might interfere with MPAs and PAs.
  • Coordinate MPA and PA efforts horizontally (e.g., across agencies) and vertically (e.g., across subnational, national, and international efforts), ensuring an inclusive process for local and Indigenous communities.
  • Incorporate MPAs/PAs/IPLs into local, national, and international climate plans (i.e., Nationally Determined Contributions).
  • Work with insurance companies to reduce insurance premiums for properties that protect or maintain coastal wetlands.
  • Create processes for legal grievances, dispute resolution, and restitution.
  • Create sustainable use regulations for protected coastal wetland areas that provide resources to local communities.
  • Empower local communities to manage coastal wetlands and ensure a participatory approach to designating and managing MPAs and PAs.
  • Create education programs that educate the public on MPA regulations, the benefits of coastal wetlands, and how to use resources sustainably.
  • Join, support, or create certification schemes for sustainable management of coastal wetlands.

Further information:

Practitioners
  • Avoid draining or degrading coastal wetlands.
  • Avoid developing intact coastal wetlands, including small-scale shoreline developments such as docks.
  • Invest in coastal wetland conservation, restoration, sustainable management practices, specialized research facilities, and other R&D efforts.
  • Participate in stakeholder engagements and help policymakers designate coastal wetlands, create regulations, and implement robust monitoring and enforcement.
  • Grant Indigenous communities full property rights and autonomy and support them in monitoring, managing, and enforcing PAs.
  • Ensure protected coastal wetlands don’t displace, violate rights, or reduce access to vital resources for local and Indigenous communities.
  • Integrate river, watershed, and dam management into coastal wetland protection.
  • Use real-time monitoring and satellite data to manage and enforce PA and MPA regulations.
  • Create sustainable use regulations for protected coastal wetland areas that provide resources to the local community.
  • Conduct proactive land-use planning to avoid infrastructure or development projects that might interfere with protected coastal wetlands or incentivize drainage.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over PAs and MPAs.
  • Advocate for or use financial incentives such as subsidies, tax breaks, and PES to protect coastal wetlands from development.
  • Utilize financial mechanisms such as biodiversity offsets, PES, high-integrity voluntary carbon markets, and debt-for-nature swaps to fund coastal wetland protection.
  • Help classify and map coastal wetlands and tidal information as well as create local, national, and international standards for classification.
  • Coordinate PA and MPA efforts horizontally (e.g., across agencies) and vertically (e.g., across subnational, national, and international efforts), ensuring an inclusive process for local and Indigenous communities.
  • Work with insurance companies to reduce insurance premiums for properties that protect or maintain coastal wetlands.
  • Join, support, or create certification schemes for sustainable management of coastal wetlands.
  • Create education programs that educate the public on MPA/PA/IPL regulations, the benefits of coastal wetlands, and how to use resources sustainably.

Further information:

Business Leaders
  • Ensure operations, development, and supply chains are not degrading coastal wetlands or interfering with PA or MPA management.
  • Integrate coastal wetland protection into net-zero strategies, if relevant.
  • Help revise existing or create new high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Only purchase carbon credits from high-integrity, verifiable carbon markets, and do not use them as replacements for less carbon-intensive operations or claim them as offsets.
  • Consider donating to established coastal wetland protection funds in place of carbon credits.
  • Take advantage of financial incentives such as subsidies, tax breaks, and PES to coastal wetlands from development.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support Indigenous and local communities' capacity for management, legal protection, and public relations.
  • Leverage political influence to advocate for stronger coastal wetland protection policies at national and international levels.
  • Conduct proactive land-use planning to avoid roads and other development projects that might interfere with PAs and MPAs or incentivize deforestation.
  • Join, support, or create certification schemes for sustainable management of coastal wetlands.

Further information:

Nonprofit Leaders
  • Advocate for enhanced enforcement of existing MPAs/PAs/IPLs, expansion of new MPAs/PAs/IPLs, and more public investments.
  • Help manage and monitor protected coastal wetlands using real-time monitoring and satellite data.
  • Provide financial support for MPAs/PAs/IPLs, monitoring, and enforcement.
  • Help conduct proactive land-use planning to avoid infrastructure or development projects that might interfere with protected coastal wetlands or incentivize drainage.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over PAs or MPAs.
  • Help revise existing or create new high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support the capacity of Indigenous and local communities for management, legal protection, and public relations.
  • Use or advocate for financial incentives such as subsidies, tax breaks, and PES to protect coastal wetlands from development.
  • Help classify and map coastal wetlands and tidal information as well as create local, national, and international standards for classification.
  • Work with insurance companies to reduce insurance premiums for properties that protect or maintain coastal wetlands.
  • Join, support, or create certification schemes for sustainable management of coastal wetlands.
  • Create education programs that educate the public on MPA/PA/IPL regulations, the benefits of coastal wetlands, and how to use resources sustainably.

Further information:

Investors
  • Ensure investment portfolios do not degrade coastal wetlands or interfere with MPAs/PAs/IPLs, using data, information, and the latest technology to inform investments.
  • Invest in coastal wetland protection, monitoring, management, and enforcement mechanisms.
  • Use financial mechanisms such as credible biodiversity offsets, PES, voluntary high-integrity carbon markets, and debt-for-nature swaps to fund coastal wetland protection.
  • Invest in and support Indigenous and local communities' capacity for legal protection and public relations.
  • Share data, information, and investment frameworks that successfully avoid investments that drive coastal wetland destruction with other investors and nongovernmental organizations.
  • Provide favorable loans to Indigenous communities and entrepreneurs and businesses protecting wetlands.
  • Join, support, or create certification schemes for sustainable management of coastal wetlands.

Further information:

Philanthropists and International Aid Agencies
  • Advocate for enhanced enforcement of existing MPAs/PAs/IPLs, expansion of new MPAs/PAs/IPLs, and public investments.
  • Help manage and monitor protected coastal wetlands, using real-time monitoring and satellite data.
  • Provide technical and financial assistance to low- and middle-income countries and communities to protect coastal wetlands.
  • Provide financial support to organizations and institutions developing and deploying monitoring technology and conducting wetland research.
  • Help manage and monitor protected coastal wetlands using real-time monitoring and satellite data.
  • Help conduct proactive land-use planning to avoid infrastructure or development projects that might interfere with protected coastal wetlands or incentivize drainage.
  • Help revise existing or create new high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support Indigenous and local communities' capacity for management, legal protection, and public relations.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over PAs or MPAs.
  • Help classify and map coastal wetlands and tidal information as well as create local, national, and international standards for classification.
  • Work with insurance companies to reduce insurance premiums for properties that protect or maintain coastal wetlands.
  • Join, support, or create certification schemes for sustainable management of coastal wetlands.
  • Create education programs that educate the public on MPA/PA/IPL regulations, the benefits of coastal wetlands, and how to use resources sustainably.

Further information:

Thought Leaders
  • Advocate for enhanced enforcement of existing MPAs/PAs/IPLs, expansion of new MPAs/PAs/IPLs, and for public investments.
  • Advocate for or use financial incentives such as subsidies, tax breaks, PES, and debt-for-nature swaps to protect coastal wetlands from development.
  • Help manage and monitor protected coastal wetlands using real-time monitoring and satellite data.
  • Help conduct proactive land-use planning to avoid infrastructure or development projects that might interfere with protected coastal wetlands or incentivize drainage.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over PAs or MPAs.
  • Help revise existing or create new high-integrity carbon and biodiversity markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Support Indigenous and local communities' capacity for legal protection, management, and public relations.
  • Help classify and map coastal wetlands and tidal information as well as create local, national, and international standards for classification.
  • Join, support, or create certification schemes for sustainable management of coastal wetlands.
  • Create programs that educate the public on MPA/PA/IPL regulations, the benefits of coastal wetlands, and how to use resources sustainably.

Further information:

Technologists and Researchers
  • Study ecosystem services provided by coastal wetlands and catalogue the benefits.
  • Improve mapping of coastal wetland areas, carbon content and dynamics, tidal impacts, degradation types and levels, and emissions data – specifically methane and nitrous oxide.
  • Improve monitoring methods using field measurements, models, satellite imagery, and GIS tools.
  • Research adjacent technologies and practices such as seaweed farm management, kelp forest conservation, sediment management, and biodiversity restoration.
  • Conduct meta-analyses or synthesize existing literature on coastal wetlands and protection efforts.
  • Explore ways to use smart management systems for PAs and MPAs, including the use of real-time and satellite data.
  • Develop land-use planning tools that help avoid infrastructure or development projects that might interfere with PAs and MPAs or incentivize drainage.
  • Create tools for local communities to monitor coastal wetlands, such as mobile apps, e-learning platforms, and mapping tools.
  • Develop verifiable carbon credits using technology such as blockchain to improve the integrity of carbon markets.
  • Develop supply chain tracking software for investors and businesses seeking to create sustainable portfolios and products.

Further information:

Communities, Households, and Individuals
  • Avoid draining or degrading coastal wetlands.
  • Avoid developing intact coastal wetlands, including small-scale shoreline developments such as docks.
  • Help manage and monitor protected coastal wetlands using real-time monitoring and satellite data.
  • Establish coordinating bodies for farmers, developers, landowners, policymakers, dam operators, and other stakeholders to holistically manage PAs.
  • Advocate for enhanced enforcement of existing MPAs/PAs/IPLs, expansion of new MPAs/PAs/IPLs, and public investments.
  • Help conduct proactive land-use planning to avoid infrastructure or development projects that might interfere with protected coastal wetlands or incentivize drainage.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over PAs or MPAs.
  • Help revise existing or create new high-integrity carbon and biodiversity markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Support Indigenous communities' capacity for management, legal protection, and public relations.
  • Use or advocate for financial incentives such as subsidies, tax breaks, and PES to protect coastal wetlands from development.
  • Help classify and map coastal wetlands and tidal information as well as create local, national, and international standards for classification.
  • Ensure PAs and MPAs don’t displace, violate rights, or reduce access to vital resources for local and Indigenous communities.
  • Work with insurance companies to reduce insurance premiums for properties that protect or maintain coastal wetlands.
  • Participate or volunteer in local coastal wetland protection efforts.
  • Plant native species to help improve the local ecological balance and stabilize the soil – especially on waterfront property.
  • Use nontoxic cleaning and gardening supplies, purchase unbleached paper products, and recycle to help keep pollution and debris out of wetlands.
  • Join, support, or create certification schemes for sustainable management of coastal wetlands.
  • Create education programs that educate the public on MPA/PA/IPL regulations, the benefits of coastal wetlands, and how to use resources sustainably.

Further information:

Sources
Evidence Base

Consensus of effectiveness in reducing emissions and maintaining carbon removal: High

There is high scientific consensus that coastal wetland protection is an important strategy for reducing wetland loss due to degradation and that degradation results in carbon stock loss from coastal wetlands. Rates of wetland loss are generally lower inside PAs than outside them. An analysis of over 4,000 PAs (wetland and non-wetland area) showed 59% of sites are in “sound management,” which generally reflects PAs with strong enforcement, management implementation, and conservation outcome indicators (Leverington et al., 2010). Here we used a conservative effectiveness of 59% for salt marshes and mangroves that are under legal protection, consistent with the value from Leverington et al. (2010). Other regional studies show similar PA effectiveness values, with 25–50% of wetland PAs in China exhibiting moderate to very high conservation effectiveness (Lu et al., 2016).

Seagrasses differ from mangroves and salt marshes in that they fall under MPA designation because they are subtidal, or submerged. In an analysis of effectiveness of 66 MPAs in 18 countries, nearly 53% of MPAs reported positive or slightly positive ecosystem outcomes (Rodríguez-Rodríguez & Martínez-Vega, 2022). Less is known about MPA effectiveness for seagrass meadows specifically; we assumed an effectiveness of 53% – similar to other MPAs.

Prevention of degradation via legal coastal wetlands protection avoids emissions by preserving carbon stocks while also retaining carbon sequestration capacity. Degradation of coastal wetlands results in measurable loss of short- and long-lived carbon stocks, with emissions that vary based on ecosystem and degradation type (Donato et al., 2011, Holmquist et al., 2023, Lovelock et al., 2017, Mcleod et al., 2011, Pendleton et al., 2012). Estimates of existing carbon stocks in coastal wetlands are substantial, ranging between 8.97–32.7 Gt of carbon (32.9–120 Gt CO₂‑eq ), most of which is likely susceptible to degradation (Macreadie et al., 2021).

The results presented in this document synthesize findings from 14 global datasets. We recognize that geographic bias in the information underlying global data products creates bias and hope this work inspires research and data sharing on this topic in underrepresented regions and understudied ecosystems.

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Appendix

In this analysis, we integrated global land cover data; shapefiles of PAs, MPAs, and IPLs; and ecosystem type (mangroves, salt marshes, seagrasses) data on carbon emissions and sequestration rates to calculate currently protected coastal wetland area, total global coastal wetland area, and avoided emissions and additional sequestration from coastal wetland protection by ecosystem type (mangroves, salt marshes, and seagrasses).

Land Cover Data

We used two land cover data products to estimate coastal wetland extent by ecosystem type (mangroves, salt marshes, seagrasses) inside and outside of PAs, MPAs, and IPLs: 1) a global 30 m wetland map, GWL_FCS30, for mangroves and salt marshes (Zhang et al., 2023), and 2) the global distribution of seagrasses map from UN Environment World Conservation Monitoring Centre (UNEP-WCMC & Short, 2021).

Protected Coastal Wetland Areas

The IUCN defines PAs, including MPAs, as geographically distinct areas managed primarily for the long-term conservation of nature and ecosystem services. They are further disaggregated into six levels of protection, ranging from strict wilderness preserves to sustainable use areas that allow for some natural resource extraction (including logging). We calculated all levels of protection but only considered protection categories I–IV in our analysis of adoption. We recognized that other protection categories might provide conservation benefits. We excluded categories labeled as “Not Applicable (NAP),” “Not Reported (NR),” “Not Assigned (NAS),” as well as categories VI and VII. We also estimated IPL area based on available data, but emphasized that much of their extent has not been fully mapped nor recognized for its conservation benefits (Garnett et al., 2018). Additionally, the IPL dataset only covered land and therefore did not include seagrass ecosystems explicitly beyond the extent that ecosystems bordering terrestrial IPL areas were captured within the 1 km pixels of analysis. Coastal wetlands also lack data on the effectiveness of protection with IPLs, so we did not include IPL data as currently protected in our estimates.

We identified protected coastal wetland areas using the World Database on PAs (UNEP-WCMC & IUCN, 2024), which contains boundaries for each PA or MPA and additional information, including their establishment year and IUCN management category (Ia to VI, NAP, NR, and NAS). For each PA or MPA polygon, we extracted the coastal wetland area based on the datasets in the Land Cover Data section. Our spatial analysis required the center point of the pixel of each individual ecosystem under consideration to be covered by the PA or MPA polygon in order to be classified as protected, which is a relatively strict spatial extraction technique that likely leads to lower estimates of conservation compared to previous work with differing techniques (Dabalà et al., 2023).

We used the maps of IPLs from Garnett et al. (2018) to identify IPLs that were not inside of established PAs. We calculated the total coastal wetland area within IPLs (excluding PAs and MPAs) using the same coastal wetland data sources.

Coastal Wetland Loss, Additional Sequestration, and Emissions Factors

We aggregated coastal wetland loss rates by ecosystem type (mangroves, salt marshes, seagrasses). We used data on PA and MPA effectiveness to calculate the difference in coastal wetland loss rates attributable to protection (Equation A1). We compiled baseline estimates of current rates of coastal wetland degradation from all causes (%/yr) from existing literature as shown in the “Detailed coastal wetland loss data” tab of the Supporting Data spreadsheet and used in conjunction with estimates of reductions in loss, 53–59%, associated with protection.

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Equation A1.

\[ Wetland\text{ }loss_{avoided}=(Wetland\text{ }loss_{baseline}\times Reduction\text{ }in\text{ }loss) \]

We then used the ratio of coastal wetland loss in unprotected areas versus PAs to calculate avoided CO₂ emissions and additional carbon sequestration for each adoption unit. Specifically, we estimated the carbon benefits of avoided coastal wetland loss by multiplying avoided coastal wetland loss by avoided CO₂ emissions (30-yr time horizon; Equation A2) and carbon sequestration rates (30-yr time horizon; Equation A3) for each ecosystem type. Importantly, the emissions factors we used account for carbon in above- and below-ground biomass and generally do not assume 100% loss of carbon stocks because many land use impacts may retain some stored carbon, some of which is likely resistant to degradation (see the “2. current state effectiveness tab” in the spreadsheet for more information). We derived our estimates of retained carbon sequestration from global databases on sediment organic carbon burial rates in each ecosystem (see the “2. current state effectiveness tab” in the spreadsheet for more information).

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Equation A2.

\[ Avoided\text{ } emissions = Wetland\text{ }loss_{avoided} \times \sum_{t=1}^{30}{Emissions} \]

Equation A3.

\[ Sequestration = Wetland\text{ }loss_{avoided} \times \sum_{t=1}^{30}{Sequestration} \]

We then estimated effectiveness (Equation A4) as the avoided CO₂ emissions and the retained carbon sequestration capacity attributable to the reduction in wetland loss conferred by protection estimated in Equations S1–S3.

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Equation A4.

\[ Effectiveness = Wetland\text{ }loss_{avoided} \times (Carbon_{avoided\text{ } emissions} + Carbon_{sequestration}) \]

Finally, we calculated climate impact (Equation A5) by multiplying the adoption area under consideration by the estimated effectiveness from Equation A4.

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Equation A5.

\[ Climate\text{ }impact = Effectiveness \times Adoption \]

Appendix References

Garnett, S. T., Burgess, N. D., Fa, J. E., Fernández-Llamazares, Á., Molnár, Z., Robinson, C. J., Watson, J. E. M., Zander, K. K., Austin, B., Brondizio, E. S., Collier, N. F., Duncan, T., Ellis, E., Geyle, H., Jackson, M. V., Jonas, H., Malmer, P., McGowan, B., Sivongxay, A., & Leiper, I. (2018). A spatial overview of the global importance of Indigenous lands for conservation. Nature Sustainability, 1(7), 369–374. https://doi.org/10.1038/s41893-018-0100-6

UNEP-WCMC, & Short, F. T. (2021). Global distribution of seagrasses (version 7.1) [Data set]. UN Environment World Conservation Monitoring Centre. https://doi.org/10.34892/x6r3-d211

UNEP-WCMC, & IUCN. (2024). Protected planet: The world database on protected areas (WDPA) and world database on other effective area-based conservation measures (WD-OECM) [Data set]. Retrieved November 2024, from https://www.protectedplanet.net

Zhang, X., Liu, L., Zhao, T., Chen, X., Lin, S., Wang, J., Mi, J., & Liu, W. (2023). GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020. Earth System Science Data, 15(1), 265–293. https://doi.org/10.5194/essd-15-265-2023

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Updated Date

Protect Peatlands

Submitted by Drawdown Admin on
Sector
FALO & Nature-Based Carbon Removal
Mode
Cut Emissions and Remove Carbon
Cluster
Protect & Manage Ecosystems
Image
Peatland
Coming Soon
Off
Summary

The Protect Peatlands solution is defined as legally protecting peatland ecosystems through establishment of protected areas (PAs), which preserves stored carbon and ensures continued carbon sequestration by reducing degradation of the natural hydrology, soils, and/or vegetation. This solution focuses on non-coastal peatlands that have not yet been drained or otherwise severely degraded. Reducing emissions from degraded peatlands is addressed in the Restore Peatlands solution, and mangroves located on peat soils are addressed in the Protect Coastal Wetlands solution.

Extreme weather events
Income & work,Health
Nature protection,Water resources,Water quality
Description for Social and Search
Protect Peatlands is a HIghly Recommended climate solution. Peatland soils accumulate huge amounts of carbon over centuries. Protecting peatlands reduces disturbances that turn these powerful carbon sinks into major sources of GHG emissions.
Overview

Peatlands are diverse ecosystems characterized by waterlogged, carbon-rich peat soils consisting of partially decomposed dead plant material (Figure 1). They are degraded or destroyed through clearing of vegetation and drainage for agriculture, forestry, peat extraction, or other development. An estimated 600 Gt carbon (~2,200 Gt CO₂‑eq ) is stored in peatlands, twice as much as the carbon stock in all forest biomass (Yu et al., 2010; Pan et al., 2024). Because decomposition occurs very slowly under waterlogged conditions, large amounts of plant material have accumulated in a partially decomposed state over millennia. These carbon-rich ecosystems occupy only 3–4% of land area (Xu et al., 2018b; United Nations Environment Programme [UNEP], 2022). Their protection is both feasible due to their small area and highly impactful due to their carbon density.

Figure 1. These photos show the diversity of peatlands that occur in different places, including a fen peatland and meadow complex in California (top left), a peat swamp in Indonesia (top right), a peat fen and forest in Canada (bottom left), and a peat bog in New Hampshire (bottom right). 

Examples of peatland types

Photo credits: Catie and Jim Bishop | U.S. Department of Agriculture; Rhett A. Butler; Garth Lenz; Linnea Hanson | U.S. Department of Agriculture

When peatlands are drained or disturbed, the rate of carbon loss increases sharply as the accumulated organic matter begins decomposing (Figure 2). Removal of overlying vegetation produces additional GHG emissions while also slowing or stopping carbon uptake. Whereas emissions from vegetation removal occur rapidly following disturbance, peat decomposition and associated emissions can continue for centuries depending on environmental conditions and peat thickness. Peat decomposition after disturbance occurs faster in warmer climates because cold temperatures slow microbial activity. In this analysis, we evaluated tropical, subtropical, temperate, and boreal regions separately.

Figure 2. Greenhouse gas emissions and sequestration in intact peatlands (left) and a drained peatland (right). Intact peatlands are a net greenhouse gas sink, sequestering carbon in peat through photosynthesis but also emitting methane due to waterlogged soils. Drained peatlands are a greenhouse gas source, producing emissions from peat decomposition and drainage canals. Modified from IUCN UK Peatland Programme (2024).

Diagram comparing healthy and degraded peatland

Source:  IUCN UK Peatland Programme. (2024, July 10). New briefing addresses the peatlands and methane debate.

In addition to peat decomposition, biomass removal, and lost carbon sequestration, peatland disturbance impacts methane and nitrous oxide emissions and carbon loss through waterways (Figure 2; Intergovernmental Panel on Climate Change [IPCC] Task Force on National Greenhouse Gas Inventories, 2014; UNEP, 2022). Intact peatlands are a methane source because of methane-producing microbes, which thrive under waterlogged conditions. However, carbon uptake typically outweighs methane emissions. Leifield et al. (2019) found that intact peatlands are a net carbon sink of 0.77 ± 0.15 t CO₂‑eq /ha/yr in temperate and boreal regions and 1.65 ± 0.51 t CO₂‑eq /ha/yr in tropical regions after accounting for methane emissions. Peatland drainage reduces methane emissions from the peatland itself, but the drainage ditches can become potent methane sources (Evans et al., 2015; Peacock et al., 2021). Dissolved and particulate organic carbon also run off through drainage ditches, increasing CO₂ emissions in waterways from microbial activity and abiotic processes. Finally, rates of nitrous oxide emissions increase following drainage as the nitrogen stored in the peat becomes available to microbes. 

Patterns of ongoing peatland drainage are poorly understood at the global scale, but rates of ecosystem disturbance are generally lower in PAs and on Indigenous peoples’ lands than outside of them (Li et al., 2024b; Wolf et al., 2021; Sze et al., 2021). The International Union for Conservation of Nature (IUCN) defines six levels of PAs that vary in their allowed uses, ranging from strict wilderness preserves to sustainable use areas that allow for some extraction of natural resources. All PA levels were included in this analysis (UNEP World Conservation Monitoring Center [UNEP-WCMC] and IUCN, 2024). Due to compounding uncertainties in the distributions of peatlands and Indigenous peoples’ lands, which have not yet been comprehensively mapped, and unknown rates of peatland degradation within Indigenous people’s lands, peatlands within Indigenous peoples’ lands were excluded from the tables but are discussed in the text (Garnett et al., 2018; UNEP-WCMC and IUCN, 2024). 

Adams, V. M., Iacona, G. D., & Possingham, H. P. (2019). Weighing the benefits of expanding protected areas versus managing existing ones. Nature Sustainability, 2(5), 404–411. Link to source: https://doi.org/10.1038/s41893-019-0275-5

Atkinson, C. L., & Alibašić, H. (2023). Prospects for governance and climate change resilience in peatland management in Indonesia. Sustainability, 15(3), Article 3. Link to source: https://doi.org/10.3390/su15031839

Austin, K. G., Elsen, P. R., Coronado, E. N. H., DeGemmis, A., Gallego-Sala, A. V., Harris, L., Kretser, H. E., Melton, J. R., Murdiyarso, D., Sasmito, S. D., Swails, E., Wijaya, A., Winton, R. S., & Zarin, D. (2025). Mismatch between global importance of peatlands and the extent of their protection. Conservation Letters, 18(1), e13080. Link to source: https://doi.org/10.1111/conl.13080

Barnes, M. D., Glew, L., Wyborn, C., & Craigie, I. D. (2018). Prevent perverse outcomes from global protected area policy. Nature Ecology & Evolution, 2(5), 759–762. Link to source: https://doi.org/10.1038/s41559-018-0501-y

Bruner, A. G., Gullison, R. E., & Balmford, A. (2004). Financial costs and shortfalls of managing and expanding protected-area systems in developing countries. BioScience, 54(12), 1119–1126. Link to source: https://doi.org/10.1641/0006-3568(2004)054[1119:FCASOM]2.0.CO;2

Conchedda, G., & Tubiello, F. N. (2020). Drainage of organic soils and GHG emissions: Validation with country data. Earth System Science Data, 12(4), 3113–3137. Link to source: https://doi.org/10.5194/essd-12-3113-2020

Davidson, N. C. (2014). How much wetland has the world lost? Long-term and recent trends in global wetland area. Marine and Freshwater Research, 65(10), 934. Link to source: https://doi.org/10.1071/MF14173

Deshmukh, C. S., Julius, D., Desai, A. R., Asyhari, A., Page, S. E., Nardi, N., Susanto, A. P., Nurholis, N., Hendrizal, M., Kurnianto, S., Suardiwerianto, Y., Salam, Y. W., Agus, F., Astiani, D., Sabiham, S., Gauci, V., & Evans, C. D. (2021). Conservation slows down emission increase from a tropical peatland in Indonesia. Nature Geoscience, 14(7), Article 7. Link to source: https://doi.org/10.1038/s41561-021-00785-2

Dietrich, O., & Behrendt, A. (2022). Wet grassland sites with shallow groundwater conditions: Effects on local meteorological characteristics. Water, 14(21), Article 21. Link to source: https://doi.org/10.3390/w14213560

Dinerstein, E., Joshi, A. R., Hahn, N. R., Lee, A. T. L., Vynne, C., Burkart, K., Asner, G. P., Beckham, C., Ceballos, G., Cuthbert, R., Dirzo, R., Fankem, O., Hertel, S., Li, B. V., Mellin, H., Pharand-Deschênes, F., Olson, D., Pandav, B., Peres, C. A., … Zolli, A. (2024). Conservation imperatives: Securing the last unprotected terrestrial sites harboring irreplaceable biodiversity. Frontiers in Science, 2. Link to source: https://doi.org/10.3389/fsci.2024.1349350

Evers, S., Yule, C. M., Padfield, R., O’Reilly, P., & Varkkey, H. (2017). Keep wetlands wet: The myth of sustainable development of tropical peatlands – implications for policies and management. Global Change Biology, 23(2), 534–549. Link to source: https://doi.org/10.1111/gcb.13422

Felipe Cadillo, M. M., & Bennett, A. (2024). Navigating socio-political threats to Amazonian peatland conservation: Insights from the Imiria Region, Peru. Sustainability, 16(16), Article 16. Link to source: https://doi.org/10.3390/su16166967

Fluet-Chouinard, E., Stocker, B. D., Zhang, Z., Malhotra, A., Melton, J. R., Poulter, B., Kaplan, J. O., Goldewijk, K. K., Siebert, S., Minayeva, T., Hugelius, G., Joosten, H., Barthelmes, A., Prigent, C., Aires, F., Hoyt, A. M., Davidson, N., Finlayson, C. M., Lehner, B., … McIntyre, P. B. (2023). Extensive global wetland loss over the past three centuries. Nature, 614(7947), 281–286. Link to source: https://doi.org/10.1038/s41586-022-05572-6

Fuller, C., Ondei, S., Brook, B. W., & Buettel, J. C. (2020). Protected-area planning in the Brazilian Amazon should prioritize additionality and permanence, not leakage mitigation. Biological Conservation, 248, 108673. Link to source: https://doi.org/10.1016/j.biocon.2020.108673

Garnett, S. T., Burgess, N. D., Fa, J. E., Fernández-Llamazares, Á., Molnár, Z., Robinson, C. J., Watson, J. E. M., Zander, K. K., Austin, B., Brondizio, E. S., Collier, N. F., Duncan, T., Ellis, E., Geyle, H., Jackson, M. V., Jonas, H., Malmer, P., McGowan, B., Sivongxay, A., & Leiper, I. (2018). A spatial overview of the global importance of Indigenous lands for conservation. Nature Sustainability, 1(7), 369–374. Link to source: https://doi.org/10.1038/s41893-018-0100-6

Girkin, N. T., & Davidson, S. J. (2024). Protect peatlands to achieve climate goals. Science, 383(6682), 490–490. Link to source: https://doi.org/10.1126/science.adn4001

Girkin, N. T., Burgess, P. J., Cole, L., Cooper, H. V., Honorio Coronado, E., Davidson, S. J., Hannam, J., Harris, J., Holman, I., McCloskey, C. S., McKeown, M. M., Milner, A. M., Page, S., Smith, J., & Young, D. (2023). The three-peat challenge: Business as usual, responsible agriculture, and conservation and restoration as management trajectories in global peatlands. Carbon Management, 14(1), 2275578. Link to source: https://doi.org/10.1080/17583004.2023.2275578

Goib, B. K., Fitriani, N., Wicaksono, S., & Chitra, J. (2018). Restoring peat, improving welfare, and empowering women: Can we have it all? Link to source: https://wri-indonesia.org/en/insights/restoring-peat-improving-welfare-and-empowering-women-can-we-have-it-all

Goldstein, A., Turner, W. R., Spawn, S. A., Anderson-Teixeira, K. J., Cook-Patton, S., Fargione, J., Gibbs, H. K., Griscom, B., Hewson, J. H., Howard, J. F., Ledezma, J. C., Page, S., Koh, L. P., Rockström, J., Sanderman, J., & Hole, D. G. (2020). Protecting irrecoverable carbon in Earth’s ecosystems. Nature Climate Change, 10(4), 287–295. Link to source: https://doi.org/10.1038/s41558-020-0738-8

Griscom, B. W., Adams, J., Ellis, P. W., Houghton, R. A., Lomax, G., Miteva, D. A., Schlesinger, W. H., Shoch, D., Siikamäki, J. V., Smith, P., Woodbury, P., Zganjar, C., Blackman, A., Campari, J., Conant, R. T., Delgado, C., Elias, P., Gopalakrishna, T., Hamsik, M. R., … Fargione, J. (2017). Natural climate solutions. Proceedings of the National Academy of Sciences, 114(44), 11645–11650. Link to source: https://doi.org/10.1073/pnas.1710465114

Harris, L. I., Richardson, K., Bona, K. A., Davidson, S. J., Finkelstein, S. A., Garneau, M., McLaughlin, J., Nwaishi, F., Olefeldt, D., Packalen, M., Roulet, N. T., Southee, F. M., Strack, M., Webster, K. L., Wilkinson, S. L., & Ray, J. C. (2022). The essential carbon service provided by northern peatlands. Frontiers in Ecology and the Environment, 20(4), 222–230. Link to source: https://doi.org/10.1002/fee.2437

Harrison, M. E., & Paoli, G. D. (2012). Managing the risk of biodiversity leakage from prioritising REDD+ in the most carbon-rich forests: The case study of peat-swamp forests in Kalimantan, Indonesia. Tropical Conservation Science, 5(4), 426–433. Link to source: https://doi.org/10.1177/194008291200500402

Hein, L., Spadaro, J. V., Ostro, B., Hammer, M., Sumarga, E., Salmayenti, R., Boer, R., Tata, H., Atmoko, D., & Castañeda, J.-P. (2022). The health impacts of Indonesian peatland fires. Environmental Health, 21(1), 62. Link to source: https://doi.org/10.1186/s12940-022-00872-w

Helbig, M., Waddington, J. M., Alekseychik, P., Amiro, B., Aurela, M., Barr, A. G., Black, T. A., Carey, S. K., Chen, J., Chi, J., Desai, A. R., Dunn, A., Euskirchen, E. S., Flanagan, L. B., Friborg, T., Garneau, M., Grelle, A., Harder, S., Heliasz, M., … Schulze, C. (2020). The biophysical climate mitigation potential of boreal peatlands during the growing season. Environmental Research Letters, 15(10), 104004. Link to source: https://doi.org/10.1088/1748-9326/abab34

Hugelius, G., Loisel, J., Chadburn, S., Jackson, R. B., Jones, M., MacDonald, G., Marushchak, M., Olefeldt, D., Packalen, M., Siewert, M. B., Treat, C., Turetsky, M., Voigt, C., & Yu, Z. (2020). Large stocks of peatland carbon and nitrogen are vulnerable to permafrost thaw. Proceedings of the National Academy of Sciences, 117(34), 20438–20446. Link to source: https://doi.org/10.1073/pnas.1916387117

Humpenöder, F., Karstens, K., Lotze-Campen, H., Leifeld, J., Menichetti, L., Barthelmes, A., & Popp, A. (2020). Peatland protection and restoration are key for climate change mitigation. Environmental Research Letters, 15(10), 104093. Link to source: https://doi.org/10.1088/1748-9326/abae2a

IPCC Task Force on National Greenhouse Gas Inventories. (2014). 2013 supplement to the 2006 IPCC guidelines for national greenhouse gas inventories: Wetlands (T. Hiraishi, T. Krug, K. Tanabe, N. Srivastava, J. Baasansuren, M. Fukuda, & T. G. Troxler, Eds.). Intergovernmental Panel on Climate Change. Link to source: https://www.ipcc.ch/site/assets/uploads/2018/03/Wetlands_Supplement_Entire_Report.pdf

IUCN. (2021). Peatlands and climate change (IUCN Issues Briefs). Link to source: https://iucn.org/sites/default/files/2022-04/iucn_issues_brief_peatlands_and_climate_change_final_nov21.pdf

IUCN UK Peatland Programme. (2024, July 10). New briefing addresses the peatlands and methane debate. Link to source: https://www.iucn-uk-peatlandprogramme.org/news/new-briefing-addresses-peatlands-and-methane-debate

Jalilov, S.-M., Rochmayanto, Y., Hidayat, D. C., Raharjo, J. T., Mendham, D., & Langston, J. D. (2025). Unveiling economic dimensions of peatland restoration in Indonesia: A systematic literature review. Ecosystem Services, 71, 101693. Link to source: https://doi.org/10.1016/j.ecoser.2024.101693

Jones, M. C., Harden, J., O’Donnell, J., Manies, K., Jorgenson, T., Treat, C., & Ewing, S. (2017). Rapid carbon loss and slow recovery following permafrost thaw in boreal peatlands. Global Change Biology, 23(3), 1109–1127. Link to source: https://doi.org/10.1111/gcb.13403

Kiely, L., Spracklen, D. V., Arnold, S. R., Papargyropoulou, E., Conibear, L., Wiedinmyer, C., Knote, C., & Adrianto, H. A. (2021). Assessing costs of Indonesian fires and the benefits of restoring peatland. Nature Communications, 12(1), 7044. Link to source: https://doi.org/10.1038/s41467-021-27353-x

Konecny, K., Ballhorn, U., Navratil, P., Jubanski, J., Page, S. E., Tansey, K., Hooijer, A., Vernimmen, R., & Siegert, F. (2016). Variable carbon losses from recurrent fires in drained tropical peatlands. Global Change Biology, 22(4), 1469–1480. Link to source: https://doi.org/10.1111/gcb.13186

Leifeld, J., & Menichetti, L. (2018). The underappreciated potential of peatlands in global climate change mitigation strategies. Nature Communications, 9(1), 1071. Link to source: https://doi.org/10.1038/s41467-018-03406-6

Leifeld, J., Wüst-Galley, C., & Page, S. (2019). Intact and managed peatland soils as a source and sink of GHGs from 1850 to 2100. Nature Climate Change, 9(12), 945–947. Link to source: https://doi.org/10.1038/s41558-019-0615-5

Li, B. V., Wu, S., Pimm, S. L., & Cui, J. (2024a). The synergy between protected area effectiveness and economic growth. Current Biology, 34(13), 2907-2920.e5. Link to source: https://doi.org/10.1016/j.cub.2024.05.044

Li, G., Fang, C., Watson, J. E. M., Sun, S., Qi, W., Wang, Z., & Liu, J. (2024b). Mixed effectiveness of global protected areas in resisting habitat loss. Nature Communications, 15(1), 8389. Link to source: https://doi.org/10.1038/s41467-024-52693-9

Loisel, J., Gallego-Sala, A. V., Amesbury, M. J., Magnan, G., Anshari, G., Beilman, D. W., Benavides, J. C., Blewett, J., Camill, P., Charman, D. J., Chawchai, S., Hedgpeth, A., Kleinen, T., Korhola, A., Large, D., Mansilla, C. A., Müller, J., van Bellen, S., West, J. B., … Wu, J. (2021). Expert assessment of future vulnerability of the global peatland carbon sink. Nature Climate Change, 11(1), 70–77. Link to source: https://doi.org/10.1038/s41558-020-00944-0

Marlier, M. E., Liu, T., Yu, K., Buonocore, J. J., Koplitz, S. N., DeFries, R. S., Mickley, L. J., Jacob, D. J., Schwartz, J., Wardhana, B. S., & Myers, S. S. (2019). Fires, smoke exposure, and public health: An integrative framework to maximize health benefits from peatland restoration. GeoHealth, 3(7), 178–189. Link to source: https://doi.org/10.1029/2019GH000191

Melton, J. R., Chan, E., Millard, K., Fortier, M., Winton, R. S., Martín-López, J. M., Cadillo-Quiroz, H., Kidd, D., & Verchot, L. V. (2022). A map of global peatland extent created using machine learning (Peat-ML). Geoscientific Model Development, 15(12), 4709–4738. https://doi.org/10.5194/gmd-15-4709-2022

Miettinen, J., Shi, C., & Liew, S. C. (2011). Deforestation rates in insular Southeast Asia between 2000 and 2010. Global Change Biology, 17(7), 2261–2270. https://doi.org/10.1111/j.1365-2486.2011.02398.x

Miettinen, J., Shi, C., & Liew, S. C. (2016). Land cover distribution in the peatlands of Peninsular Malaysia, Sumatra and Borneo in 2015 with changes since 1990. Global Ecology and Conservation, 6, 67–78. https://doi.org/10.1016/j.gecco.2016.02.004

Minasny, B., Adetsu, D. V., Aitkenhead, M., Artz, R. R. E., Baggaley, N., Barthelmes, A., Beucher, A., Caron, J., Conchedda, G., Connolly, J., Deragon, R., Evans, C., Fadnes, K., Fiantis, D., Gagkas, Z., Gilet, L., Gimona, A., Glatzel, S., Greve, M. H., … Zak, D. (2024). Mapping and monitoring peatland conditions from global to field scale. Biogeochemistry, 167(4), 383–425. https://doi.org/10.1007/s10533-023-01084-1

Minayeva, T. Yu., Bragg, O. M., & Sirin, A. A. (2017). Towards ecosystem-based restoration of peatland biodiversity. Mires and Peat, 19, 1–36. https://doi.org/10.19189/MaP.2013.OMB.150

Müller, J., & Joos, F. (2021). Committed and projected future changes in global peatlands – continued transient model simulations since the Last Glacial Maximum. Biogeosciences, 18(12), 3657–3687. https://doi.org/10.5194/bg-18-3657-2021

Nelson, K., Thompson, D., Hopkinson, C., Petrone, R., & Chasmer, L. (2021). Peatland-fire interactions: A review of wildland fire feedbacks and interactions in Canadian boreal peatlands. Science of The Total Environment, 769, 145212. Link to source: https://doi.org/10.1016/j.scitotenv.2021.145212

Noon, M. L., Goldstein, A., Ledezma, J. C., Roehrdanz, P. R., Cook-Patton, S. C., Spawn-Lee, S. A., Wright, T. M., Gonzalez-Roglich, M., Hole, D. G., Rockström, J., & Turner, W. R. (2022). Mapping the irrecoverable carbon in Earth’s ecosystems. Nature Sustainability, 5(1), 37–46. Link to source: https://doi.org/10.1038/s41893-021-00803-6

Pan, Y., Birdsey, R. A., Phillips, O. L., Houghton, R. A., Fang, J., Kauppi, P. E., Keith, H., Kurz, W. A., Ito, A., Lewis, S. L., Nabuurs, G.-J., Shvidenko, A., Hashimoto, S., Lerink, B., Schepaschenko, D., Castanho, A., & Murdiyarso, D. (2024). The enduring world forest carbon sink. Nature, 631(8021), 563–569. Link to source: https://doi.org/10.1038/s41586-024-07602-x

Peacock, M., Audet, J., Bastviken, D., Futter, M. N., Gauci, V., Grinham, A., Harrison, J. A., Kent, M. S., Kosten, S., Lovelock, C. E., Veraart, A. J., & Evans, C. D. (2021). Global importance of methane emissions from drainage ditches and canals. Environmental Research Letters, 16(4), 044010.  https://doi.org/10.1088/1748-9326/abeb36

Posa, M. R. C., Wijedasa, L. S., & Corlett, R. T. (2011). Biodiversity and conservation of tropical peat swamp forests. BioScience, 61(1), 49–57. Link to source: https://doi.org/10.1525/bio.2011.61.1.10

Ritson, J. P., Bell, M., Brazier, R. E., Grand-Clement, E., Graham, N. J. D., Freeman, C., Smith, D., Templeton, M. R., & Clark, J. M. (2016). Managing peatland vegetation for drinking water treatment. Scientific Reports, 6(1), 36751. Link to source: https://doi.org/10.1038/srep36751

Sasmito, S. D., Taillardat, P., Adinugroho, W. C., Krisnawati, H., Novita, N., Fatoyinbo, L., Friess, D. A., Page, S. E., Lovelock, C. E., Murdiyarso, D., Taylor, D., & Lupascu, M. (2025). Half of land use carbon emissions in Southeast Asia can be mitigated through peat swamp forest and mangrove conservation and restoration. Nature Communications, 16(1), 740. Link to source: https://doi.org/10.1038/s41467-025-55892-0

Schulz, C., Martín Brañas, M., Núñez Pérez, C., Del Aguila Villacorta, M., Laurie, N., Lawson, I. T., & Roucoux, K. H. (2019). Uses, cultural significance, and management of peatlands in the Peruvian Amazon: Implications for conservation. Biological Conservation, 235, 189–198. Link to source: https://doi.org/10.1016/j.biocon.2019.04.005

Spitzer, K., & Danks, H. V. (2006). Insect biodiversity of boreal peat bogs. Annual Review of Entomology, 51, 137–161. Link to source: https://doi.org/10.1146/annurev.ento.51.110104.151036

Strack, M., Davidson, S. J., Hirano, T., & Dunn, C. (2022). The potential of peatlands as nature-based climate solutions. Current Climate Change Reports, 8(3), 71–82. Link to source: https://doi.org/10.1007/s40641-022-00183-9

Suwarno, A., Hein, L., & Sumarga, E. (2016). Who benefits from ecosystem services? A case study for central Kalimantan, Indonesia. Environmental Management, 57(2), 331–344. Link to source: https://doi.org/10.1007/s00267-015-0623-9

Syahza, A., Suswondo, Bakce, D., Nasrul, B., Irianti, W., & Irianti, M. (2020). Peatland policy and management strategy to support sustainable development in Indonesia. Journal of Physics: Conference Series, 1655, 012151. Link to source: https://doi.org/10.1088/1742-6596/1655/1/012151

Sze, J. S., Carrasco, L. R., Childs, D., & Edwards, D. P. (2021). Reduced deforestation and degradation in Indigenous Lands pan-tropically. Nature Sustainability, 5(2), 123–130. Link to source: https://doi.org/10.1038/s41893-021-00815-2

Tan, Z. D., Lupascu, M., & Wijedasa, L. S. (2021). Paludiculture as a sustainable land use alternative for tropical peatlands: A review. Science of The Total Environment, 753, 142111. Link to source: https://doi.org/10.1016/j.scitotenv.2020.142111

Thorburn, C. C., & Kull, C. A. (2015). Peatlands and plantations in Sumatra, Indonesia: Complex realities for resource governance, rural development and climate change mitigation. Asia Pacific Viewpoint, 56(1), 153–168. Link to source: https://doi.org/10.1111/apv.12045

Thornton, S. A., Setiana, E., Yoyo, K., Dudin, Yulintine, Harrison, M. E., Page, S. E., & Upton, C. (2020). Towards biocultural approaches to peatland conservation: The case for fish and livelihoods in Indonesia. Environmental Science & Policy, 114, 341–351. Link to source: https://doi.org/10.1016/j.envsci.2020.08.018

Turetsky, M. R., Benscoter, B., Page, S., Rein, G., van der Werf, G. R., & Watts, A. (2015). Global vulnerability of peatlands to fire and carbon loss. Nature Geoscience, 8(1), 11–14. Link to source: https://doi.org/10.1038/ngeo2325

Uda, S. K., Hein, L., & Sumarga, E. (2017). Towards sustainable management of Indonesian tropical peatlands. Wetlands Ecology and Management, 25(6), 683–701. Link to source: https://doi.org/10.1007/s11273-017-9544-0

Uda, S. K., Hein, L., & Atmoko, D. (2019). Assessing the health impacts of peatland fires: A case study for Central Kalimantan, Indonesia. Environmental Science and Pollution Research, 26(30), 31315–31327. Link to source: https://doi.org/10.1007/s11356-019-06264-x

UNEP. (2022). Global peatlands assessment: The state of the world’s peatlands: Evidence for action toward the conservation, restoration, and sustainable management of peatlands. Link to source: https://www.unep.org/resources/global-peatlands-assessment-2022

UNEP-WCMC and IUCN. (2024). Protected planet report. Link to source: https://digitalreport.protectedplanet.net

Waldron, A., Adams, V., Allan, J., Arnell, A., Asner, G., Atkinson, S., Baccini, A., Baillie, J. E. M., Balmford, A., Beau, J. A., Brander, L., Brondizio, E., Bruner, A., Burgess, N., Burkart, K., Butchart, S., Button, R., Carrasco, R., Cheung, W., …Zhang, Y. P. (2020). Protecting 30% of the planet for nature: Costs, benefits and economic implications. Link to source: https://pure.iiasa.ac.at/id/eprint/16560/1/Waldron_Report_FINAL_sml.pdf

Williams, M., Reay, D., & Smith, P. (2023). Avoiding emissions versus creating sinks—Effectiveness and attractiveness to climate finance. Global Change Biology, 29(8), 2046–2049. Link to source: https://doi.org/10.1111/gcb.16598

Wolf, C., Levi, T., Ripple, W. J., Zárrate-Charry, D. A., & Betts, M. G. (2021). A forest loss report card for the world’s protected areas. Nature Ecology & Evolution, 5(4), 520–529. Link to source: https://doi.org/10.1038/s41559-021-01389-0

Worrall, F., Howden, N. J. K., Burt, T. P., Rico-Ramirez, M. A., & Kohler, T. (2022). Local climate impacts from ongoing restoration of a peatland. Hydrological Processes, 36(3), e14496. Link to source: https://doi.org/10.1002/hyp.14496

Xu, J., Morris, P. J., Liu, J., & Holden, J. (2018a). Hotspots of peatland-derived potable water use identified by global analysis. Nature Sustainability, 1(5), 246–253. Link to source: https://doi.org/10.1038/s41893-018-0064-6

Xu, J., Morris, P. J., Liu, J., & Holden, J. (2018b). PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis. CATENA, 160, 134–140. Link to source: https://doi.org/10.1016/j.catena.2017.09.010

Yu, Z., Loisel, J., Brosseau, D. P., Beilman, D. W., & Hunt, S. J. (2010). Global peatland dynamics since the Last Glacial Maximum. Geophysical Research Letters, 37(13), L13402. Link to source: https://doi.org/10.1029/2010GL043584

Credits

Lead Fellow

  • Avery Driscoll

Contributors

  • Ruthie Burrows, Ph.D.

  • James Gerber, Ph.D.

  • Daniel Jasper

  • Alex Sweeney

Internal Reviewers

  • Aiyana Bodi

  • Hannah Henkin

  • Megan Matthews, Ph.D.

  • Ted Otte

  • Christina Swanson, Ph.D.

  • Paul C. West, Ph.D.

Effectiveness

We estimated that protecting a ha of peatland avoids 0.92–13.47 t CO₂‑eq /ha/yr, with substantially higher emissions reductions in subtropical and tropical regions and lower emissions reductions in boreal regions (100-yr GWP; Table 1a–d; Appendix). 

We estimated effectiveness as the avoided emissions attributable to the reduction in peatland loss conferred by protection (Equation 1). First, we calculated the biome-specific difference between the annual rate of peatland loss outside PAs (Peatland lossbaseline) versus inside PAs (Peatland lossprotected) (Appendix; Conchedda & Tubellio, 2020; Davidson et al., 2014; Miettinen et al., 2011; Miettinen et al., 2016; Uda et al., 2017, Wolf et al., 2021). We then multiplied the avoided peatland loss by the total emissions from one ha of drained peatland over 30 years. This is the sum of the total biomass carbon stock (Carbonbiomass), which degrades relatively quickly; 30 years of annual emissions from peat itself (Carbonflux); and 30 years of lost carbon sequestration potential, reflecting the carbon that would have been taken up by one ha of intact peatland in the absence of degradation (Carbonuptake) (IPCC Task Force on National Greenhouse Gas Inventories, 2014; UNEP, 2022). The carbon flux includes CO₂‑eq emissions from: 1) peat oxidation, 2) dissolved organic carbon loss through drainage, 3) the net change in on-field methane between undrained and drained states, 4) methane emissions from drainage ditches, and 5) on-field nitrous oxide emissions.

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Equation 1.

\[Effectiveness = (Peatland\text{ }loss_{baseline} - Peatland\text{ }loss_{protected})\times( Carbon_{biomass} + 30\cdot Carbon_{flux} + 30\cdot Carbon_{uptake}) \]

Without rewetting, peat loss typically persists beyond 30 years and can continue for centuries (Leifield & Menichetti, 2018). Thus, this is a conservative estimate of peatland protection effectiveness that captures near-term impacts, aligns with the 30-yr cost amortization time frame, and is roughly consistent with commonly used 2050 targets. Using a longer time frame produces larger estimates of emissions from degraded peatlands and therefore higher effectiveness of peatland protection.

The effectiveness of peatland protection as defined here reflects only a small percentage of the carbon stored in peatlands because we account for the likelihood that the peatland would be destroyed without protection. Peatland protection is particularly impactful for peatlands at high risk of drainage.

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Table 1. Effectiveness of peatland protection at avoiding emissions and sequestering carbon. Regional differences in values are driven by variation in emissions factors and baseline rates of peatland drainage.

Unit: t CO₂‑eq , 100-yr basis/ha of peatland protected/yr

Estimate 0.92

Unit: t CO₂‑eq , 100-yr basis/ha of peatland protected/yr

Estimate 4.42

Unit: t CO₂‑eq , 100-yr basis/ha of peatland protected/yr

Estimate 13.47

Unit: t CO₂‑eq , 100-yr basis/ha of peatland protected/yr

Estimate 13.23
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Cost

We estimated that the net cost of peatland protection is approximately US$1.5/ha/yr, or $0.25/t CO₂‑eq avoided (Table 2). Data related to the costs of peatland protection are very limited. These estimates reflect global averages rather than regionally specific values, and rarely include data specific to peatlands. The costs of peatland protection include up-front costs of land acquisition and ongoing costs of management and enforcement. The market price of land reflects the opportunity cost of not using the land for other purposes, such as agriculture, forestry, peat extraction, or urban development. Protecting peatlands can also generate revenue through increased tourism. Costs and revenues are highly variable across regions, depending on the costs of land and enforcement and potential for tourism. 

Dienerstein et al. (2024) estimated the initial cost of establishing a protected area for 60 high-biodiversity ecoregions. Amongst the 33 regions that were likely to contain peatlands, the median acquisition cost was US$957/ha, which we amortized over 30 years. Costs of protected area maintenance were estimated at US$9–17/ha/yr (Bruner et al., 2004; Waldron et al., 2020), though these estimates were not specific to peatlands. Additionally, these estimates reflect the costs of effective enforcement and management, but many existing protected areas lack adequate funds for effective enforcement (Adams et al., 2019; Barnes et al., 2018; Burner et al., 2004). Waldron et al. (2020) estimated that, across all ecosystems, tourism revenues directly attributable to protected area establishment were US$43/ha/yr, not including downstream revenues from industries that benefit from increased tourism. Inclusion of a tourism multiplier would substantially increase the estimated economic benefits of peatland protection.

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Table 2. Cost per unit climate impact for peatland protection.

Unit: 2023 US$/t CO₂‑eq , 100-yr basis

Median 0.25
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Learning Curve

A learning curve is defined here as falling costs with increased adoption. The costs of peatland protection do not fall with increasing adoption, so there is no learning curve for this solution.

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Speed of Action

Speed of action refers to how quickly a climate solution physically affects the atmosphere after it is deployed. This is different from speed of deployment, which is the pace at which solutions are adopted.

At Project Drawdown, we define the speed of action for each climate solution as gradual, emergency brake, or delayed.

Protect Peatlands is an EMERGENCY BRAKE climate solution. It has the potential to deliver a more rapid impact than gradual and delayed solutions. Because emergency brake solutions can deliver their climate benefits quickly, they can help accelerate our efforts to address dangerous levels of climate change. For this reason, they are a high priority.

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Caveats

Permanence, or the durability of stored carbon, is a caveat for emissions avoidance through peatland protection that is not addressed in this analysis. Protected peatlands could be drained if legal protections are reversed or inadequately enforced, resulting in the loss of stored carbon. Additionally, fires on peatlands have become more frequent due to climate change (Turetsky et al., 2015; Loisel et al., 2021), and can produce very large emissions pulses (Konecny et al., 2016; Nelson et al., 2021). In boreal regions, permafrost thaw can trigger large, sustained carbon losses from previously frozen peat (Hugelius et al., 2020; Jones et al., 2017). In tropical regions, climate change-induced changes in precipitation can lower water tables in intact peatlands, increasing risks of peat loss and reducing sequestration potential (Deshmukh et al., 2021). 

Additionality, or the degree to which emissions reductions are above and beyond a baseline, is another important caveat for emissions avoidance through ecosystem protection (Atkinson & Alibašić, 2023; Fuller et al., 2020; Williams et al., 2023). In this analysis, additionality was addressed by using baseline rates of peatland degradation in calculating effectiveness. Evaluating additionality is challenging and remains an active area of research.

Finally, there are substantial uncertainties in the available data on peatland areas and distributions, peatland loss rates, the drivers of peatland loss, the extent and boundaries of PAs, and the efficacy of PAs at reducing peatland disturbance. Emissions dynamics on both intact and cleared peatlands are also uncertain, particularly under different land management practices and in the context of climate change.

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Current Adoption

Because peatlands are characterized by their soils rather than by overlying vegetation, they are difficult to map at the global scale (Minasny et al., 2024). Mapping peatlands remains an active area of research, and the adoption values presented here are uncertain. We estimated that 22.6 Mha of peatlands are located within strictly protected PAs (IUCN classes I or II), and 82.3 Mha are within other or unknown PA classes (Table 3a–e; UNEP, 2022; UNEP-WCMC & IUCN, 2024), representing 22% of total global peatland area (482 Mha). Because of data limitations, we did not include Indigenous peoples’ lands in subsequent analyses despite their conservation benefits. There are an additional 186 Mha of peatlands within Indigenous peoples’ lands that are not classified as PAs, with a large majority (155 Mha) located in boreal regions (Table 3; Garnett et al., 2018; UNEP, 2022).

Given the uncertainty in the global extent of peatlands, estimates of peatland protection vary. The Global Peatlands Assessment estimated that 19% (90.7 Mha) of peatlands are protected (UNEP, 2022), with large regional variations ranging from 35% of peatlands protected in Africa to only 10% in Asia. Using a peatland map from Melton et al. (2022), Austin et al. (2025) estimated that 17% of global peatlands are within PAs, and an additional 27% are located in Indigenous peoples’ lands (excluding Indigenous peoples’ lands in Canada covering large peatland areas).

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Table 3. Current peatland area under protection by biome (circa 2023). Estimates are provided for two different forms of protection: “strict” protection, including IUCN classes I and II, and “nonstrict” protection, including all other IUCN classes. Regional values may not sum to global totals due to rounding.

Unit: Mha protected

Area within strict PAs 12.4
Area within non-strict PAs 41.7

Unit: Mha protected

Area within strict PAs 3.0
Area within non-strict PAs 10.1

Unit: Mha protected

Area within strict PAs 1.1
Area within non-strict PAs 1.6

Unit: Mha protected

Area within strict PAs 6.1
Area within non-strict PAs 28.9

Unit: Mha protected

Area within strict PAs 22.6
Area within non-strict PAs 82.3
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Adoption Trend

We calculated the annual rate of new peatland protection based on the year of PA establishment for areas established in 2000–2020. The median annual increase in peatland protection was 0.86 Mha (mean 2.0 Mha; Table 4a–d). This represents a roughly 0.8%/yr increase in peatlands within PAs, or protection of an additional 0.2%/yr of total global peatlands. This suggests that peatland protection is likely occurring at a somewhat slower rate than peatland degradation – which is estimated to be around 0.5% annually at the global scale – though this estimate is highly uncertain and spatially variable (Davidson et al., 2014).

There were large year-to-year differences in how much new peatland area was protected over this period, ranging from only 0.2 Mha in 2016 to 7.9 Mha in 2007. The rate at which peatland protection is increasing has been decreasing, with a median increase of 1.7 Mha/yr between 2000 and 2010 declining to 0.7 Mha/yr during 2010–2020. Recent median adoption of peatland protection by area is highest in boreal (0.5 Mha/yr, Table 4a) and tropical regions (0.2 Mha/yr, Table 4d), followed by temperate regions (0.1 Mha/yr, Table 4b) and subtropical regions (0.01 Mha/yr, Table 4c) (2010–2020). Scaled by total peatland area, however, recent rates of peatland protection are lowest in the subtropics (0.04%/yr), followed by the boreal (0.14%/yr), the tropics (0.16%/yr), and temperate regions (0.19%/yr).

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Table 4. Adoption trend for peatland protection in PAs of any IUCN class (2000–2020). The 25th and 75th percentiles reflect only interannual variance.

Unit: Mha of peatland protected/yr

25th percentile 0.24
Mean 0.87
Median (50th percentile) 0.50
75th percentile 0.89

Unit: Mha of peatland protected/yr

25th percentile 0.07
Mean 0.23
Median (50th percentile) 0.10
75th percentile 0.28

Unit: Mha of peatland protected/yr

25th percentile 0.00
Mean 0.04
Median (50th percentile) 0.01
75th percentile 0.04

Unit: Mha of peatland protected/yr

25th percentile 0.05
Mean 0.84
Median (50th percentile) 0.25
75th percentile 0.83
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Adoption Ceiling

We considered the adoption ceiling to include all undrained, non-coastal peatlands and estimated this to be 425 Mha, based on the Global Peatlands Database and Global Peatlands Map (UNEP, 2022; Table 5e; Appendix). We estimated that 284 Mha of undrained peatlands remain in boreal regions (Table 5a), 26 Mha in temperate regions (Table 5b), 12 Mha in the subtropics (Table 5c), and 103 Mha in the tropics (Table 5d). The adoption ceiling represents the technical upper limit to adoption of this solution.

There is substantial uncertainty in the global extent of peatlands, which is not quantified in these adoption ceiling values. Estimates of global peatland extent from recent literature include 404 Mha (Melton et al., 2022), 423 Mha (Xu et al., 2018b), 437 Mha (Müller & Joos, 2021), 463 Mha (Leifield & Menichetti, 2018), and 488 Mha (UNEP, 2022). Several studies suggest that the global peatland area may still be underestimated (Minasny et al., 2024; UNEP, 2022). 

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Table 5. Adoption ceiling: upper limit for adoption of legal protection of peatlands by biome. Values may not sum to global totals due to rounding.

Unit: Mha protected

Peatland area (Mha) 284

Unit: Mha protected

Peatland area (Mha) 26

Unit: Mha protected

Peatland area (Mha) 12

Unit: Mha protected

Peatland area (Mha) 103

Unit: Mha protected

Peatland area (Mha) 425
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Achievable Adoption

UNEP (2022) places a high priority on protecting a large majority of remaining peatlands for both climate and conservation objectives. We defined the achievable range for peatland protection as 70% (low achievable) to 90% (high achievable) of remaining undrained peatlands. Only ~19% of peatlands are currently under formal protection within PAs (UNEP, 2022; UNEP-WCMC and IUCN, 2024). However, approximately 60% of undrained peatlands are under some form of protection if peatlands within Indigenous peoples’ lands are considered (Garnett et al., 2018; UNEP, 2022; UNEP-WCMC and IUCN, 2024). While ambitious, this provides support for our selected achievable range of 70–90% (Table 6a-e). 

Ensuring effective and durable protection of these peatlands from drainage and degradation, including secure land tenure for Indigenous peoples who steward peatlands and other critical ecosystems, is a critical first step. Research suggests that local community leadership, equitable stakeholder engagement, and cross-scalar governance are needed to achieve conservation goals while also balancing social and economic outcomes through sustainable use (Atkinson & Alibašić, 2023; Cadillo & Bennett, 2024; Girkin et al., 2023; Harrison et al., 2019; Suwarno et al., 2015). Sustainable uses of peatlands include some forms of paludiculture, which can involve peatland plant cultivation, fishing, or gathering without disturbance of the hydrology or peat layer (Tan et al., 2021).

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Table 6. Range of achievable adoption of peatland protection by biome.

Unit: Mha protected

Current adoption 54
Achievable – low 199
Achievable – high 255
Adoption ceiling 284

Unit: Mha protected

Current adoption 13
Achievable – low 18
Achievable – high 24
Adoption ceiling 26

Unit: Mha protected

Current adoption 3
Achievable – low 9
Achievable – high 11
Adoption ceiling 12

Unit: Mha protected

Current adoption 35
Achievable – low 72
Achievable – high 92
Adoption ceiling 103

Unit: Mha protected

Current adoption 105
Achievable – low 297
Achievable – high 382
Adoption ceiling 425
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We estimated that PAs currently reduce emissions from peatland degradation by 0.6 Gt CO₂‑eq/yr (Table 7a-e). Achievable levels of peatland protection have the potential to reduce emissions 1.3–1.7 Gt CO₂‑eq/yr, with a technical upper bound of 1.9 Gt CO₂‑eq/yr. The estimate of climate impacts under current adoption does not include the large areas of peatlands protected by Indigenous peoples but not legally recognized as PAs. Inclusion of these areas would increase the current estimated impact of peatland protection to 0.9 Gt CO₂‑eq/yr.

Other published estimates of additional emissions reductions through peatland protection are somewhat lower, with confidence intervals of 0–1.2 Gt CO₂‑eq/yr (Griscom et al., 2017; Humpenöder et al., 2020; Loisel et al., 2021; Strack et al., 2022). These studies vary in their underlying methodology and data, including the extent of peatland, the baseline rate of peatland loss, the potential for protected area expansion, which GHGs are considered, the time frame over which emissions are calculated, and whether they account for vegetation carbon loss or just emissions from the peat itself. 

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Table 7. Climate impact at different levels of adoption.

Unit: Gt CO₂ ‑eq/yr, 100-yr basis

Current adoption 0.05
Achievable – low 0.18
Achievable – high 0.24
Adoption ceiling 0.26

Unit: Gt CO₂ ‑eq/yr, 100-yr basis

Current adoption 0.06
Achievable – low 0.08
Achievable – high 0.11
Adoption ceiling 0.12

Unit: Gt CO₂ ‑eq/yr, 100-yr basis

Current adoption 0.04
Achievable – low 0.12
Achievable – high 0.15
Adoption ceiling 0.17

Unit: Gt CO₂ ‑eq/yr, 100-yr basis

Current adoption 0.46
Achievable – low 0.95
Achievable – high 1.22
Adoption ceiling 1.36

Unit: Gt CO₂ ‑eq/yr, 100-yr basis

Current adoption 0.61
Achievable – low 1.33
Achievable – high 1.71
Adoption ceiling 1.90
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Additional Benefits

Extreme Weather Events

Peatland protection can help communities adapt to extreme weather. Because peatlands regulate water flows, they can reduce the risk of droughts and floods (IUCN, 2021; Ritson et al., 2016). Evidence suggests that peatlands can provide a cooling effect to the immediate environment, lowering daytime temperatures and reducing temperature extremes between day and night (Dietrich & Behrendt, 2022; Helbig et al., 2020; Worrall et al., 2022).

Health

When peatlands are drained they are susceptible to fire. Peatland fires can significantly contribute to air pollution because of the way these fires smolder (Uda et al., 2019). Smoke and pollutants, particularly PM2.5, from peatland fires can harm respiratory health and lead to premature mortality (Marlier et al., 2019). A study of peatland fires in Indonesia estimated they contribute to the premature mortality of about 33,100 adults and about 2,900 infants annually (Hein et al., 2022). Researchers have linked exposure to PM2.5 from peatland fires to increased hospitalizations, asthma, and lost workdays (Hein et al., 2022). Peatland protection mitigates exposure to air pollution and can save money from reduced health-care expenditures (Kiely et al., 2021).

Income and Work

Peatlands support the livelihoods of nearby communities, especially those in low- and middle-income countries. In the peatlands of the Amazon and Congo basins, fishing livelihoods depend on aquatic wildlife (Thornton et al., 2020). Peatlands in the Peruvian Amazon provide important goods for trade, such as palm fruit and timber, and are used for hunting by nearby populations (Schulz et al., 2019). Peatlands can also support the livelihoods of women and contribute to gender equality. For example, raw materials – purun – from Indonesian peatlands are used by women to create and sell mats used in significant events such as births, weddings, and burials (Goib et al., 2018).

Nature Protection

Peatlands are home to a wide range of species, supporting biodiversity of flora and an abundance of wildlife (UNEP, 2022; Minayeva et al., 2017; Posa et al., 2011). Because of their unique ecosystem, peatlands provide a habitat for many rare and threatened species (Posa et al., 2011). A study of Indonesian peat swamps found that the IUCN Red List classified approximately 45% of mammals and 33% of birds living in these ecosystems as threatened, vulnerable, or endangered (Posa et al., 2011). Peatlands also support a variety of insect species (Spitzer & Danks, 2006). Because of their sensitivity to environmental changes, some peatland insects can act as indicators of peatland health and play a role in conservation efforts (Spitzer & Danks, 2006).

Water Resources

Peatlands can filter water pollutants and improve water quality and are important sources of potable water for some populations (Minayeva et al., 2017). Xu et al. (2018a) estimated that peatlands store about 10% of freshwater globally, not including glacial water. Peatlands are a significant drinking water source for people in the United Kingdom and Ireland, where they provide potable water for about 71.4 million people (Xu et al., 2018a).

Water Quality

See Water Resources section above.

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Risks

Leakage occurs when peatland drainage and clearing moves outside of protected area boundaries and is a risk of relying on peatland protection as an emissions reduction strategy (Harrison & Paoli, 2012; Strack et al., 2022). If the relocated clearing also occurs on peat soils, emissions from peatland drainage and degradation are relocated but not actually reduced. If disturbance is relocated to mineral soils, however, the disturbance-related emissions will typically be lower. Combining peatland protection with policies to reduce incentives for peatland clearing can help avoid leakage.

Peatland protection must be driven by or conducted in close collaboration with local communities, which often depend on peatlands for their livelihoods and economic advancement (Jalilov et al., 2025; Li et al., 2024a; Suwarno et al., 2016). Failure to include local communities in conservation efforts violates community sovereignty and can exacerbate existing socioeconomic inequities (Felipe Cadillo & Bennet, 2024; Thorburn & Kull, 2015). Effective peatland protection requires development of alternative income opportunities for communities currently dependent on peatland drainage, such as tourism; sustainable peatland use practices like paludiculture; or compensation for ecosystem service provisioning, including carbon storage (Evers et al., 2017; Girkin et al., 2023; Suwarno et al., 2016; Syahza et al., 2020; Tan et al., 2021; Uda et al., 2017).

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Interactions with Other Solutions

Reinforcing

Protected areas often include multiple ecosystems. Peatland protection will likely lead to protection of other ecosystems within the same areas, and the health of nearby ecosystems is improved by the services provided by intact peatlands. 

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Restored peatlands need protection to reduce the risk of future disturbance, and the health of protected peatlands can be improved through restoration of adjacent degraded peatlands.

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Competing

Protecting peatlands could limit land availability for renewable energy technologies and raw material and food production. Protect Peatlands competes with the following solutions for land.

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Dashboard

Solution Basics

ha protected

t CO₂-eq (100-yr)/unit/yr
0.92
units
Current 5.4×10⁷ 01.99×10⁸2.55×10⁸
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.05 0.180.24
US$ per t CO₂-eq
0
Emergency Brake

CO₂ , CH₄, N₂O

Solution Basics

ha protected

t CO₂-eq (100-yr)/unit/yr
4.42
units
Current 1.3×10⁷ 01.8×10⁷2.4×10⁷
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.06 0.080.11
US$ per t CO₂-eq
0
Emergency Brake

CO₂ , CH₄, N₂O

Solution Basics

ha protected

t CO₂-eq (100-yr)/unit/yr
13.47
units
Current 3.0×10⁶ 09.0×10⁶1.1×10⁷
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.04 0.120.15
US$ per t CO₂-eq
0
Emergency Brake

CO₂ , CH₄, N₂O

Solution Basics

ha protected

t CO₂-eq (100-yr)/unit/yr
13.23
units
Current 3.5×10⁷ 07.2×10⁷9.2×10⁷
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.46 0.951.22
US$ per t CO₂-eq
0
Emergency Brake

CO₂ , CH₄, N₂O

Trade-offs

None

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Action Word
Protect
Solution Title
Peatlands
Classification
Highly Recommended
Lawmakers and Policymakers
  • Set clear designations of remaining peatlands and implement robust monitoring and enforcement methods.
  • Place bans or regulations on draining intact peatlands, compensate farmers for income losses, and offer extension services that promote protection and paludiculture (growing food on peatlands).
  • Grant Indigenous communities full property rights and autonomy and support them in monitoring, managing, and enforcing protected areas.
  • Incorporate peatland protection into national climate plans and international commitments.
  • Coordinate peatland protection efforts horizontally (e.g., across agencies) and vertically (e.g., across subnational, national, and international efforts), ensuring an inclusive process for local and Indigenous communities.
  • Use financial incentives such as subsidies, tax breaks, and payments for ecosystem services (PES) to protect peatlands from development.
  • Synthesize water management regulations to ensure local authorities, renters, and landowners coordinate sufficient water levels in peatlands.
  • Remove harmful agricultural, logging, and mining subsidies.
  • Map and utilize real-time data to monitor the status and condition of peatland areas.
  • Invest public funds in peatland conservation, restoration, sustainable management practices, specialized research facilities, and other R&D efforts.
  • Invest in fire warning, prevention, and response efforts and establish local volunteer fire prevention groups.
  • Work with farmers, civil society, and businesses to develop high-integrity carbon markets for peatlands.

Further information:

Practitioners
  • Refrain from draining or developing intact peatlands.
  • Invest in peatland conservation, restoration, sustainable management practices, specialized research facilities, and other R&D efforts.
  • Participate in stakeholder engagements and assist policymakers in designating peatlands, creating regulations, and implementing robust monitoring and enforcement methods.
  • Grant Indigenous communities full property rights and autonomy and support them in monitoring, managing, and enforcing protected areas.
  • Ensure protected peatlands don’t displace, violate rights, or reduce access to vital resources for local and Indigenous communities.
  • Assist in managing and monitoring protected peatlands, utilizing real-time monitoring and satellite data.
  • Create sustainable use regulations for protected peatland areas that provide resources to the local community.
  • Conduct proactive land-use planning to avoid infrastructure or development projects that may interfere with protected peatlands or incentivize drainage.
  • Create legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over protected peatlands.
  • Help shift public narratives to mobilize public action and build political will for protecting peatlands by creating educational campaigns and strengthening networks of stakeholders and rightsholders.
  • Take advantage of existing financial incentives such as subsidies, tax breaks, and payments for ecosystem services (PES) to protect peatlands from development.
  • Offer or create market mechanisms such as biodiversity offsets, payments for ecosystem services, voluntary high-integrity carbon markets, and debt-for-nature swaps to fund peatland protection.
  • Synthesize water management regulations to ensure local authorities, renters, and landowners coordinate sufficient water levels in peatlands.
  • Establish coordinating bodies for farmers, landowners, policymakers, and other stakeholders to manage protected areas holistically.
  • Invest in fire warning, prevention, and response efforts and establish local volunteer fire prevention groups.

Further information:

Business Leaders
  • Create peat-free supply chains, utilizing data, information, and the latest technology to inform product sourcing.
  • Integrate peat-free business and investment policies and practices in net zero strategies.
  • Only purchase carbon credits from high-integrity, verifiable carbon markets and do not use them as replacements for decarbonizing operations.
  • Develop financial instruments to invest in peatlands focusing on supporting Indigenous communities.
  • Conduct proactive land-use planning to avoid infrastructure or development projects that may interfere with protected peatlands or incentivize drainage.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support Indigenous and local communities' capacity for legal protection and public relations.
  • Leverage political influence to advocate for stronger peatland protection policies at national and international levels. 

Further information:

Nonprofit Leaders
  • Ensure operations utilize peat-free products and supply chains.
  • Advocate for protecting peatlands and for public investments.
  • Assist in managing and monitoring protected peatlands, utilizing real-time monitoring and satellite data.
  • Provide financial support for protecting peatlands management, monitoring, and enforcement.
  • Assist in conducting proactive land-use planning to avoid infrastructure or development projects that may interfere with protected peatlands or incentivize drainage.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over protected peatlands.
  • Support high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Share data, information, and investment frameworks that successfully avoid deforestation to support protected peatlands, businesses, and investors.
  • Help shift public narratives to mobilize public action and build political will for protecting peatlands by creating educational campaigns and strengthening networks of stakeholders and rightsholders.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support Indigenous and local communities' capacity for legal protection and public relations.

Further information:

Investors
  • Create peat-free investment portfolios, utilizing data, information, and the latest technology to inform investments.
  • Invest in peatland protection, monitoring, management, and enforcement mechanisms.
  • Utilize financial mechanisms such biodiversity offsets, payments for ecosystem services, voluntary high-integrity carbon markets, and debt-for-nature swaps to fund peatland protection.
  • Invest in and support Indigenous and local communities' capacity for legal protection and public relations.
  • Share data, information, and investment frameworks that successfully avoid investments that drive peatland destruction to support peatlands, other investors, and NGOs.
  • Help shift public narratives to mobilize public action and build political will for protecting peatlands by creating educational campaigns and strengthening networks of stakeholders and rightsholders.

Further information:

Philanthropists and International Aid Agencies
  • Ensure operations utilize peat-free products and supply chains.
  • Advocate for protecting peatlands and for public investments.
  • Provide technical assistance to low- and middle-income countries and communities to protect peatlands.
  • Provide financial assistance to low- and middle-income countries and communities for peatland protection.
  • Assist in managing and monitoring protected peatlands, utilizing real-time monitoring and satellite data.
  • Assist in conducting proactive land-use planning to avoid infrastructure or development projects that may interfere with protected peatlands or incentivize drainage.
  • Support and finance high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over protected peatlands.
  • Support peatlands, other investors, and NGOs by sharing data, information, and investment frameworks that successfully avoid financing peatland destruction.
  • Help shift public narratives to mobilize public action and build political will for protecting peatlands by creating educational campaigns and strengthening networks of stakeholders and rightsholders.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support Indigenous and local communities' capacity for legal protection and public relations.
  • Financially support Indigenous land tenure.

Further information:

Thought Leaders
  • Advocate for protecting peatlands and for public investments.
  • Assist in managing and monitoring protected peatlands, utilizing real-time monitoring and satellite data.
  • Assist in conducting proactive land-use planning to avoid infrastructure or development projects that may interfere with protected peatlands or incentivize drainage.
  • Provide technical assistance to low- and middle-income countries and communities to protect peatlands.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over protected peatlands.
  • Support high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Share data, information, and investment frameworks that successfully avoid deforestation to support protected peatlands, businesses, and investors.
  • Help shift public narratives to mobilize public action and build political will for protecting peatlands by creating educational campaigns and strengthening networks of stakeholders and rightsholders.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Support Indigenous and local communities' capacity for legal protection and public relations.

Further information:

Technologists and Researchers
  • Improve mapping of peatland area, carbon content, emissions data, and monitoring methods, utilizing field measurements, models, satellite imagery, and GIS tools.
  • Develop land-use planning tools that help avoid infrastructure or development projects that may interfere with protecting peatlands or incentivize drainage.
  • Create tools for local communities to monitor peatlands, such as mobile apps, e-learning platforms, and mapping tools.
  • Develop verifiable carbon credits using technology such as blockchain to improve the integrity of carbon markets.
  • Develop supply chain tracking software for investors and businesses seeking to create peat-free portfolios and products.

Further information:

Communities, Households, and Individuals
  • Ensure purchases and investments utilize peat-free products and supply chains.
  • Advocate for protecting peatlands and for public investments.
  • Invest in fire warning, prevention, and response efforts and establish local volunteer fire prevention groups.
  • Establish coordinating bodies for farmers, landowners, policymakers, and other stakeholders to manage protected areas holistically.
  • Assist in managing and monitoring protected peatlands, utilizing real-time monitoring and satellite data.
  • Assist in conducting proactive land-use planning to avoid infrastructure or development projects that may interfere with protected peatlands or incentivize drainage.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over protected peatlands.
  • Help shift public narratives to mobilize public action and build political will for protecting peatlands by creating educational campaigns and strengthening networks of stakeholders and rightsholders.
  • Support Indigenous and local communities' capacity for legal protections and public relations.

Further information:

Sources
Evidence Base

Consensus of effectiveness in reducing emissions and maintaining carbon removal: High

There is high scientific consensus that protecting peatland carbon stocks is a critical component of mitigating climate change (Girkin & Davidson, 2024; Harris et al., 2022; Leifield et al., 2019; Noon et al., 2022; Strack et al., 2022). Globally, an estimated 11–12% of peatlands have been drained for uses such as agriculture, forestry, and harvesting of peat for horticulture and fuel, with much more extensive degradation in temperate and tropical regions (~45%) than in boreal regions (~4%) (Fluet-Chouinard et al., 2023; Leifield & Menichetti, 2018; UNEP, 2022). Rates of peatland degradation are highly uncertain, and the effectiveness of PAs at reducing drainage remains unquantified. In lieu of peatland-specific data on the effectiveness of PAs at reducing drainage, we used estimates from Wolf et al. (2021), who found that PAs reduce forest loss by approximately 40.5% at the global average. 

Carbon stored in peatlands has been characterized as “irrecoverable carbon” because it takes centuries to millennia to accumulate and could not be rapidly recovered if lost (Goldstein et al., 2020; Noon et al., 2021). Degraded peatlands currently emit an estimated 1.3–1.9 Gt CO₂‑eq/yr (excluding fires), equal to ~2–4% of total global emissions (Leifield and Menichetti., 2018; UNEP, 2022). Leifield et al. (2019) projected that without protection or restoration measures, emissions from drained peatlands could produce enough emissions to consume 10–41% of the remaining emissions budget for keeping warming below 1.5–2.0 °C. Peatland drainage had produced a cumulative 80 Gt CO₂‑eq by 2015, equal to nearly two years worth of total global emissions. In a modeling study, Humpenöder et al. (2020) projected that an additional 10.3 Mha of peatlands would be degraded by 2100 in the absence of new protection efforts, increasing annual emissions from degraded peatlands by ~25% (an additional 0.42 Gt CO₂‑eq/yr  in their study). 

The results presented in this document synthesize findings from 11 global datasets, supplemented by four regional studies on peatland loss rates in Southeast Asia. We recognize that geographic bias in the information underlying global data products creates bias, and hope this work inspires research and data sharing on this topic in underrepresented regions.

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Appendix

This analysis quantifies the emissions associated with peatland degradation and their potential reduction via establishment of Protected Areas (PAs). We leveraged multiple data products, including national-scale peatland area estimates, a peatland distribution map, shapefiles of PAs and Indigenous peoples’ lands, available data on rates of peatland degradation by driver, country-scale data on reductions in ecosystem degradation inside of PAs, maps of biomass carbon stocks, and biome-level emissions factors from disturbed peat soils. This appendix describes the source data products and how they were integrated. 

Peatland Extent

The global extent and distribution of peatlands is highly uncertain, and all existing peatland maps have limitations. Importantly, there is no globally accepted definition of a peatland, and different countries and data products use variable thresholds for peat depth and carbon content to define peatlands. The Global Peatland Assessment was a recent comprehensive effort to compile and harmonize existing global peatland area estimates (UNEP, 2022). We rely heavily on two products resulting from this effort: a national-scale dataset of peatland area titled the Global Peatland Database (GPD) and a map of likely peatland areas titled the Global Peatlands Map (GPM; 1 km resolution). 

Scaling Procedures

The GPM represents a known overestimate of the global peatland area, so we scaled area estimates derived from spatially explicit analyses dependent on the GPM to match total areas from the GPD. To develop a map of country-level scaling factors, we first calculated the peatland area within each country from the GPM. We calculated the country-level scaling factors as the country-level GPD values divided by the associated GPM values and converted them to a global raster. Some countries had peatland areas represented in either the GPD or GPM, but not both. Four countries had peatland areas in the GPM that were not present in the GPD, which contained 0.51 Mha of peatlands per the GPM. These areas were left unscaled. There were 38 countries with peatland areas in the GPD that did not have areas in the GPM, containing a total 0.70 Mha of peatlands. These areas, which represented 0.14% of the total peatland area in the GPD, were excluded from the scaled maps. We then multiplied the pixel-level GPM values by the scalar raster. Because of the missing countries, this scaling step very slightly overestimated (by 0.4%) total peatlands relative to the GPD. To account for this, we multiplied this intermediate map by a final global scalar (calculated as the global GPM total divided by the GPD total). This process produced a map with the same peatland distribution as the GPM but a total area that summed to that reported in the GPD.

Exclusion of Coastal Peatlands

Many coastal wetlands have peat soils, though the extent of this overlap has not been well quantified. Coastal wetlands are handled in the Protect Coastal Wetlands solution, so we excluded them from this solution to avoid double-counting. Because of the large uncertainties in both the peatland maps and available maps of coastal wetlands, we were not confident that the overlap between the two sets of maps provided a reliable estimate of the proportion of coastal wetlands located on peat soils. Therefore, we took the conservative approach of excluding all peatland pixels that were touching or overlapping with the coastline. This reduced the total peatland area considered in this solution by 5.33 Mha (1.1%). We additionally excluded degraded peatlands from the adoption ceiling and achievable range using country-level data from the GPD. Degraded peatlands will continue to be emissions sources until they are restored, so protection alone will not confer an emissions benefit.

Total Peatland Area

We conducted the analyses by latitude bands (tropical: –23.4° to 23.4°; subtropical: –35° to –23.4° and 23.4° to 35°; temperate: –35° to –50° and 35° to 50°; boreal: <–50° and >50°) in order to retain some spatial variability in emissions factors and degradation rates and drivers. We calculated the total peatland area within each latitude band based on both the scaled and unscaled peatland maps with coastal pixels excluded. We used these values as the adoption ceiling and for subsequent calculations of protected areas. 

Protected Peatland Areas

We identified protected peatland areas using the World Database on Protected Areas (WDPA, 2024), which contains boundaries for each PA and additional information, including their establishment year and IUCN management category (Ia to VI, not applicable, not reported, and not assigned). For each PA polygon, we extracted the peatland area from the unscaled version of the GPM with coastal pixels removed. 

Each PA was classified into climate zones (described above) based on the midpoint between its minimum and maximum latitude. Then, protected peatland areas were summed to the IUCN class-climate zone level, and the proportion of peatlands protected within each was calculated by dividing the protected area by the unscaled total area in each climate zone. The proportion of area protected was then multiplied by the scaled total area for each zone to calculate adoption in hectares within each IUCN class and climate zone. To evaluate trends in adoption over time, we aggregated protected areas by establishment year as reported in the WDPA. We used the same procedure to calculate the proportion of area protected using the unscaled maps, and then scale for the total area by biome. 

We used the maps of Indigenous people’s lands from Garnett et al. 2018 to identify Indigenous people’s lands that were not inside of established PAs. The total peatland area within Indigenous people’s lands process as above.

Peatland Degradation and Emissions

Broadly, we estimated annual, per-ha emissions savings from peatland protection as the difference between net carbon exchange in a protected peatland versus an unprotected peatland, accounting for all emissions pathways, the drivers of disturbance, the baseline rates of peatland disturbance, and the effectiveness of PAs at reducing ecosystem degradation. In brief, our calculation of the effectiveness of peatland protection followed Equation S1, in which the annual peatland loss avoided due to protection (%/yr) is multiplied by the 30-yr cumulative sum of emissions per ha of degraded peatland (CO₂‑eq /ha over a 30-yr period). These two terms are described in depth in the subsequent sections. 

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Equation A1.

\[ Effectiveness = Peatland\text{ }loss_{avoided} \times \sum_{t=1}^{30}{Emissions} \]

Peatland Degradation Rates 

We calculated the avoided rate of peatland loss (%/yr) as the difference between the baseline rate of peatland loss without protection and the estimated rate of peatland loss within PAs (Equation A2), since PAs do not confer complete protection from ecosystem degradation. 

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Equation A2.

\[ Peatland\text{ }loss_{avoided} = Peatland\text{ }loss_{baseline} \times Reduction\text{ }in\text{ }loss \]

We compiled baseline estimates of the current rates of peatland degradation from all causes (%/yr) from the existing literature (Table A1). Unfortunately, data on the rate of peatland loss within PAs are not available. However, satellite data have enabled in-depth, global-scale studies of the effectiveness of PAs at reducing tree cover loss. While not all peatlands are forested and degradation dynamics on peatlands can differ from those on forests writ large, these estimates are a reasonable approximation of the effectiveness of PAs at reducing peatland loss. We used the country-level estimates of the proportionate reduction in loss inside versus outside of PAs from Wolf et al. (2021), which we aggregated to latitude bands based on the median latitude of each country (Table A1).

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Table A1. Biome-level annual baseline rate of peatland loss, the effectiveness of protection at reducing loss, and the annual avoided rate of peatland loss under protection.

Climate Zone Mean Annual Peatland Loss (%/yr) Proportionate Reduction in Loss Under Protection Avoided Loss Under Protection (%/yr)
Boreal 0.3% 0.44 0.13%
Subtropic 1.2% 0.60 0.73%
Temperate 0.6% 0.56 0.33%
Tropic 1.5% 0.41 0.63%
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Emissions Factors for Peatland Degradation

Equation S3 provides an overview of the calculation of emissions from degraded peatlands. In brief, we calculated cumulative emissions as the biomass carbon stock plus the 30-yr total of CO₂‑equivalent fluxes from peat oxidation (Pox), dissolved organic carbon losses (DOC), methane from drainage ditches (Mditch), on-field methane (Mfield), on-field nitrous oxide (N) and the lost net sequestration from an intact peatland, accounting for carbon sequestration in peat and methane emissions from intact peatlands (Seqloss).

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Equation A3.

\[ \sum_{t=1}^{30}{Emissions} = Biomass + \sum_{t=1}^{30}{(P_{ox} + DOC + M_{ditch} + M_{field} + N + Seq_{loss})} \]

The IPCC Tier 1 emissions factors for peatland degradation are disaggregated by climate zone (tropical, temperate, and boreal), soil fertility status (nutrient-poor versus nutrient rich), and the driver of degradation (many subclasses of forestry, cropland, grassland, and peat extraction) (IPCC 2014; Tables 2.1–2.5). Table III.5 of Annex III of the Global Peatlands Assessment provides a summarized set of emissions factors based directly on the IPCC values but aggregated to the four coarser classes of degradation drivers listed above (UNEP, 2022), which we use for our analysis. They include the following pathways: CO₂ from peat oxidation, off-site emissions from lateral transport of dissolved organic carbon (DOC), methane emissions from the field and drainage ditches, and nitrous oxide emissions from the field. Particulate organic carbon (POC) losses may be substantial, but were not included in the IPCC methodology due to uncertainties about the fate of transported POC. These emissions factors are reported as annual rates per disturbed hectare, and emissions from these pathways continue over long periods of time.

Three additional pathways that are not included in the IPCC protocol are relevant to the emissions accounting for this analysis: the loss of carbon sequestration potential from leaving the peatland intact, the methane emissions that occur from intact peatlands, and the emissions from removal of the vegetation overlying peat soils. Leifield et al. (2019) reported the annual net carbon uptake per hectare of intact peatlands, including sequestration of carbon in peat minus naturally occurring methane emissions due to the anoxic conditions. If the peatland is not disturbed, these methane emissions and carbon sequestration will persist indefinitely on an annual basis. 

We accounted for emissions from removal of biomass using a separate protocol than emissions occurring from the peat soil due to differences in the temporal dynamics of loss. While all other emissions from peat occur on an annual basis and continue for many decades or longer, emissions from biomass occur relatively quickly. Biomass clearing produces a rapid pulse of emissions from labile carbon pools followed by a declining, but persistent, rate of emissions as more recalcitrant carbon pools decay over subsequent years. The entire biomass carbon stock is likely to be lost within 30 years. Average biomass carbon stocks over the extent of the peatland distribution in the GPM were calculated by latitude band based on the above and below ground biomass carbon stock data from Spawn et al. (2020). We presumed 100% of the biomass carbon stock is lost from peatland degradation, though in many cases some amount of biomass remains following degradation, depending on the terminal land use.

Peatland Degradation Drivers 

Emissions from peatland loss depend on the driver of degradation (e.g., forestry, cropland, peat extraction; IPCC 2014). The GPD contains national-scale estimates of historical peatland loss by driver, which we used to calculate weights for each driver, reflecting the proportion of peatland loss attributable to each driver by latitude band. We took the weighted average of the driver-specific peatland emissions factors, calculated as the sum of the products of the weights and the driver-specific emissions factors.

Appendix References

Garnett, S. T., Burgess, N. D., Fa, J. E., Fernández-Llamazares, Á., Molnár, Z., Robinson, C. J., Watson, J. E. M., Zander, K. K., Austin, B., Brondizio, E. S., Collier, N. F., Duncan, T., Ellis, E., Geyle, H., Jackson, M. V., Jonas, H., Malmer, P., McGowan, B., Sivongxay, A., & Leiper, I. (2018). A spatial overview of the global importance of Indigenous lands for conservation. Nature Sustainability, 1(7), 369–374. https://doi.org/10.1038/s41893-018-0100-6

IPCC Task Force on National Greenhouse Gas Inventories. (2014). 2013 supplement to the 2006 IPCC guidelines for national greenhouse gas inventories: Wetlands (T. Hiraishi, T. Krug, K. Tanabe, N. Srivastava, J. Baasansuren, M. Fukuda, & T. G. Troxler, Eds.). Intergovernmental Panel on Climate Change. https://www.ipcc.ch/site/assets/uploads/2018/03/Wetlands_Supplement_Entire_Report.pdf

Leifeld, J., Wüst-Galley, C., & Page, S. (2019). Intact and managed peatland soils as a source and sink of GHGs from 1850 to 2100. Nature Climate Change, 9(12), 945–947. https://doi.org/10.1038/s41558-019-0615-5

Spawn, S. A., Sullivan, C. C., Lark, T. J., & Gibbs, H. K. (2020). Harmonized global maps of above and belowground biomass carbon density in the year 2010. Scientific Data, 7(1), 112. https://doi.org/10.1038/s41597-020-0444-4

UNEP. (2022). Global peatlands assessment: The state of the world’s peatlands: Evidence for action toward the conservation, restoration, and sustainable management of peatlands. https://www.unep.org/resources/global-peatlands-assessment-2022

UNEP-WCMC and IUCN (2024), Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM) [Online], Accessed November 2024, Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net.

Wolf, C., Levi, T., Ripple, W. J., Zárrate-Charry, D. A., & Betts, M. G. (2021). A forest loss report card for the world’s protected areas. Nature Ecology & Evolution, 5(4), 520–529. https://doi.org/10.1038/s41559-021-01389-0

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Updated Date

Protect Grasslands & Savannas

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FALO & Nature-Based Carbon Removal
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Cut Emissions and Remove Carbon
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Protect & Manage Ecosystems
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Boreal grassland
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Summary

This solution focuses on the legal protection of grassland and savanna ecosystems through the establishment of protected areas (PAs), which are managed with the primary goal of conserving nature, and land tenure for Indigenous peoples. These protections reduce grassland degradation, which preserves carbon stored in soils and vegetation and enables continued carbon sequestration by healthy grasslands.

This solution only includes non-coastal grasslands and savannas on mineral soils in areas that do not naturally support forests. Salt marshes are included in the Protect Coastal Wetlands solution, grasslands on peat soils are included in the Protect Peatlands solution, grasslands that are the product of deforestation are included in the Restore Forests solution, and grasslands that have been converted to other uses are included in the Restore Grasslands and Savannas solution.

Floods,Droughts
Income & work,Food security,Equality
Nature protection,Land resources,Water resources
Description for Social and Search
The Protect Grasslands & Savannas solution is coming soon.
Overview

Grasslands, also called steppes (Europe and Asia), pampas (South America), and prairies (North America), are ecosystems dominated by herbaceous plants that have relatively low tree or shrub cover. Savannas are ecosystems characterized by low-density tree cover that allows for a grass subcanopy (Bardgett et al., 2021; Parente et al., 2024). Grasslands and savannas span arid to mesic climates from the tropics to the tundra; many depend on periodic fires and grazing by large herbivores. The dataset used to define grassland extent for this analysis classifies areas with sparse vegetation, including some shrublands, deserts, and tundra, as grasslands (Parente et al., 2024), but excludes planted and intensively managed livestock pastures. Hereafter we refer to all of these ecosystems, including savannas, as “grasslands.” 

Historically, grasslands covered up to 40% of global land area, depending on the definition used (Bardgett et al., 2021; Parente et al., 2024; Suttie et al., 2005). An estimated 46% of temperate grasslands and 24% of tropical grasslands have been converted to cropland or lost to afforestation or development (Hoekstra et al., 2004). Nearly half of remaining grasslands are estimated to be degraded due to over- or undergrazing, woody plant encroachment, climate change, invasive species, addition of fertilizers or legumes for forage production, and changing fire regimes (Bardgett et al., 2021; Briggs et al., 2005; Gang et al., 2014; Ratajczak et al., 2012). 

Grasslands store carbon primarily in soils and below-ground biomass (Bai & Cotrufo, 2022). A large fraction of the carbon that grasses take up is allocated to root growth, which over time is incorporated into soil organic matter (Bai & Cotrufo, 2022). When native vegetation is removed and land is tilled to convert grasslands to croplands, carbon from biomass and soils is lost as CO₂.  

Estimates of total carbon stocks in grasslands range from 388–1,257 Gt CO₂‑eq (Conant et al., 2017; Goldstein et al., 2020; Poeplau, 2021). Soil carbon generally persists over long timescales and takes decades to rebuild, with one study estimating that 132 Gt CO₂‑eq in grasslands is vulnerable to loss, and that 25 Gt CO₂‑eq of that would be irrecoverable over a 30-year timeframe (Goldstein et al., 2020). Our analysis did not quantify the impacts of grazing or woody plant encroachment on grassland carbon stocks, which can be mixed, though grazing is discussed further in the Improve Livestock Grazing solution (Barger et al., 2011; Conant et al., 2017; Jackson et al., 2002; Stanley et al., 2024). 

Long-term legal protection of grasslands through PAs and Indigenous peoples’ land tenure reduces conversion and therefore avoids conversion-related pulses of GHG emissions from plowing soils and removing biomass. We consider grasslands to be protected if they are 1) formally designated as PAs (United Nations Environment Programme World Conservation Monitoring Centre [UNEP-WCMC] and International Union for Conservation of Nature and Natural Resources [IUCN], 2024), or 2) mapped as Indigenous peoples’ lands (IPLs) by Garnett et al. (2018) (Appendix). PAs vary in their allowed uses, ranging from strict wilderness preserves to sustainable-use areas that allow for some natural resource extraction; all levels were included in this analysis (UNEP-WCMC and IUCN, 2024). 

IPLs and PAs reduce, but do not eliminate, ecosystem loss (Baragwanath et al., 2020; Blackman & Viet 2018; Li et al., 2024; McNicol et al., 2023; Sze et al. 2022; Wolf et al., 2023; Wade et al., 2020). Improving management to further reduce land use change within PAs and ensure ecologically appropriate grazing and fire regimes is a critical component of grassland protection (Jones et al., 2018; Meng et al., 2023; Vijay et al., 2018; Visconti et al., 2019; Watson et al., 2014). Additionally, market-based strategies and other policies can complement legal protection by reducing incentives for grassland conversion (e.g., Garett et al., 2019; Golub et al., 2021; Heilmayr et al., 2020; Lambin et al., 2018; Levy et al., 2023; Macdonald et al., 2024; Marin et al., 2022; Villoria et al., 2022; West et al., 2023). Our analyses are based on legal protection because the impact of market-based strategies is difficult to quantify, but these strategies will be further discussed in an additional appendix (coming soon).

Adams, V. M., Iacona, G. D., & Possingham, H. P. (2019). Weighing the benefits of expanding protected areas versus managing existing ones. Nature Sustainability, 2(5), 404–411. Link to source: https://doi.org/10.1038/s41893-019-0275-5

Ahlering, M., Fargione, J., & Parton, W. (2016). Potential carbon dioxide emission reductions from avoided grassland conversion in the northern Great Plains. Ecosphere, 7(12), Article e01625. Link to source: https://doi.org/10.1002/ecs2.1625

Asamoah, E. F., Beaumont, L. J., & Maina, J. M. (2021). Climate and land-use changes reduce the benefits of terrestrial protected areas. Nature Climate Change, 11(12), 1105–1110. Link to source: https://doi.org/10.1038/s41558-021-01223-2

Bai, Y., & Cotrufo, M. F. (2022). Grassland soil carbon sequestration: Current understanding, challenges, and solutions. Science, 377(6606), 603–608. Link to source: https://doi.org/10.1126/science.abo2380

Baragwanath, K., & Bayi, E. (2020). Collective property rights reduce deforestation in the Brazilian Amazon. Proceedings of the National Academy of Sciences, 117(34), 20495–20502. Link to source: https://doi.org/10.1073/pnas.1917874117

Bardgett, R. D., Bullock, J. M., Lavorel, S., Manning, P., Schaffner, U., Ostle, N., Chomel, M., Durigan, G., L. Fry, E., Johnson, D., Lavallee, J. M., Le Provost, G., Luo, S., Png, K., Sankaran, M., Hou, X., Zhou, H., Ma, L., Ren, W., … Shi, H. (2021). Combating global grassland degradation. Nature Reviews Earth & Environment, 2(10), 720–735. Link to source: https://doi.org/10.1038/s43017-021-00207-2

Barger, N. N., Archer, S. R., Campbell, J. L., Huang, C., Morton, J. A., & Knapp, A. K. (2011). Woody plant proliferation in North American drylands: A synthesis of impacts on ecosystem carbon balance. Journal of Geophysical Research: Biogeosciences, 116(G4), Article G00K07. Link to source: https://doi.org/10.1029/2010JG001506

Barnes, M. D., Glew, L., Wyborn, C., & Craigie, I. D. (2018). Prevent perverse outcomes from global protected area policy. Nature Ecology & Evolution, 2(5), 759–762. Link to source: https://doi.org/10.1038/s41559-018-0501-y

Bengtsson, J., Bullock, J. M., Egoh, B., Everson, C., Everson, T., O’Connor, T., O’Farrell, P. J., Smith, H. G., & Lindborg, R. (2019). Grasslands—More important for ecosystem services than you might think. Ecosphere, 10(2), Article e02582. Link to source: https://doi.org/10.1002/ecs2.2582

Berg, A., & McColl, K. A. (2021). No projected global drylands expansion under greenhouse warming. Nature Climate Change, 11(4), 331–337. Link to source: https://doi.org/10.1038/s41558-021-01007-8

Blackman, A., & Veit, P. (2018). Titled Amazon Indigenous communities cut forest carbon emissions. Ecological Economics, 153, 56–67. Link to source: https://doi.org/10.1016/j.ecolecon.2018.06.016

Briggs, J. M., Knapp, A. K., Blair, J. M., Heisler, J. L., Hoch, G. A., Lett, M. S., & McCarron, J. K. (2005). An ecosystem in transition: Causes and consequences of the conversion of mesic grassland to shrubland. BioScience, 55(3), 243–254. Link to source: https://doi.org/10.1641/0006-3568(2005)055[0243:AEITCA]2.0.CO;2

Bruner, A. G., Gullison, R. E., & Balmford, A. (2004). Financial costs and shortfalls of managing and expanding Protected-Area systems in developing countries. BioScience, 54(12), 1119–1126. Link to source: https://doi.org/10.1641/0006-3568(2004)054[1119:FCASOM]2.0.CO;2

Carbutt, C., Henwood, W. D., & Gilfedder, L. A. (2017). Global plight of native temperate grasslands: Going, going, gone? Biodiversity and Conservation, 26(12), 2911–2932. Link to source: https://doi.org/10.1007/s10531-017-1398-5

Chang, J., Ciais, P., Gasser, T., Smith, P., Herrero, M., Havlík, P., Obersteiner, M., Guenet, B., Goll, D. S., Li, W., Naipal, V., Peng, S., Qiu, C., Tian, H., Viovy, N., Yue, C., & Zhu, D. (2021). Climate warming from managed grasslands cancels the cooling effect of carbon sinks in sparsely grazed and natural grasslands. Nature Communications, 12(1), Article 118. Link to source: https://doi.org/10.1038/s41467-020-20406-7

Conant, R. T., Cerri, C. E. P., Osborne, B. B., & Paustian, K. (2017). Grassland management impacts on soil carbon stocks: A new synthesis. Ecological Applications, 27(2), 662–668. Link to source: https://doi.org/10.1002/eap.1473

Craine, J. M., Ocheltree, T. W., Nippert, J. B., Towne, E. G., Skibbe, A. M., Kembel, S. W., & Fargione, J. E. (2013). Global diversity of drought tolerance and grassland climate-change resilience. Nature Climate Change, 3(1), 63–67. Link to source: https://doi.org/10.1038/nclimate1634

Dinerstein, E., Joshi, A. R., Hahn, N. R., Lee, A. T. L., Vynne, C., Burkart, K., Asner, G. P., Beckham, C., Ceballos, G., Cuthbert, R., Dirzo, R., Fankem, O., Hertel, S., Li, B. V., Mellin, H., Pharand-Deschênes, F., Olson, D., Pandav, B., Peres, C. A., … Zolli, A. (2024). Conservation Imperatives: Securing the last unprotected terrestrial sites harboring irreplaceable biodiversity. Frontiers in Science, 2. Link to source: https://doi.org/10.3389/fsci.2024.1349350

ESA CCI (2019). Copernicus Climate Change Service, Climate Data Store: Land cover classification gridded maps from 1992 to present derived from satellite observation. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). Accessed November 2024. Link to source: https://doi.org/10.24381/cds.006f2c9a

Feng, S., & Fu, Q. (2013). Expansion of global drylands under a warming climate. Atmospheric Chemistry and Physics, 13(19), 10081–10094. Link to source: https://doi.org/10.5194/acp-13-10081-2013

Gang, C., Zhou, W., Chen, Y., Wang, Z., Sun, Z., Li, J., Qi, J., & Odeh, I. (2014). Quantitative assessment of the contributions of climate change and human activities on global grassland degradation. Environmental Earth Sciences, 72(11), 4273–4282. Link to source: https://doi.org/10.1007/s12665-014-3322-6

Garnett, S. T., Burgess, N. D., Fa, J. E., Fernández-Llamazares, Á., Molnár, Z., Robinson, C. J., Watson, J. E. M., Zander, K. K., Austin, B., Brondizio, E. S., Collier, N. F., Duncan, T., Ellis, E., Geyle, H., Jackson, M. V., Jonas, H., Malmer, P., McGowan, B., Sivongxay, A., & Leiper, I. (2018). A spatial overview of the global importance of Indigenous lands for conservation. Nature Sustainability, 1(7), 369–374. Link to source: https://doi.org/10.1038/s41893-018-0100-6

Garrett, R. D., Levy, S., Carlson, K. M., Gardner, T. A., Godar, J., Clapp, J., Dauvergne, P., Heilmayr, R., le Polain de Waroux, Y., Ayre, B., Barr, R., Døvre, B., Gibbs, H. K., Hall, S., Lake, S., Milder, J. C., Rausch, L. L., Rivero, R., Rueda, X., … Villoria, N. (2019). Criteria for effective zero-deforestation commitments. Global Environmental Change, 54, 135–147. Link to source: https://doi.org/10.1016/j.gloenvcha.2018.11.003

Goldstein, A., Turner, W. R., Spawn, S. A., Anderson-Teixeira, K. J., Cook-Patton, S., Fargione, J., Gibbs, H. K., Griscom, B., Hewson, J. H., Howard, J. F., Ledezma, J. C., Page, S., Koh, L. P., Rockström, J., Sanderman, J., & Hole, D. G. (2020). Protecting irrecoverable carbon in Earth’s ecosystems. Nature Climate Change, 10(4), 287–295. Link to source: https://doi.org/10.1038/s41558-020-0738-8

Golub, A., Herrera, D., Leslie, G., Pietracci, B., & Lubowski, R. (2021). A real options framework for reducing emissions from deforestation: Reconciling short-term incentives with long-term benefits from conservation and agricultural intensification. Ecosystem Services, 49, Article 101275. Link to source: https://doi.org/10.1016/j.ecoser.2021.101275

Graham, V., Geldmann, J., Adams, V. M., Negret, P. J., Sinovas, P., & Chang, H.-C. (2021). Southeast Asian protected areas are effective in conserving forest cover and forest carbon stocks compared to unprotected areas. Scientific Reports, 11(1), Article 23760. Link to source: https://doi.org/10.1038/s41598-021-03188-w

Grasslands, Rangelands, Savannahs and Shrublands (GRaSS) Alliance. (2023). Valuing Grasslands: Critical ecosystems for nature, climate, and people [Discussion paper]. Link to source: https://www.birdlife.org/wp-content/uploads/2023/12/Valuing-Grasslands-Report-Dec-2023.pdf

Griscom, B. W., Adams, J., Ellis, P. W., Houghton, R. A., Lomax, G., Miteva, D. A., Schlesinger, W. H., Shoch, D., Siikamäki, J. V., Smith, P., Woodbury, P., Zganjar, C., Blackman, A., Campari, J., Conant, R. T., Delgado, C., Elias, P., Gopalakrishna, T., Hamsik, M. R., … Fargione, J. (2017). Natural climate solutions. Proceedings of the National Academy of Sciences, 114(44), 11645–11650. Link to source: https://doi.org/10.1073/pnas.1710465114

Heilmayr, R., Rausch, L. L., Munger, J., & Gibbs, H. K. (2020). Brazil’s Amazon Soy Moratorium reduced deforestation. Nature Food, 1(12), 801–810. Link to source: https://doi.org/10.1038/s43016-020-00194-5

Hoekstra, J. M., Boucher, T. M., Ricketts, T. H., & Roberts, C. (2005). Confronting a biome crisis: Global disparities of habitat loss and protection. Ecology Letters, 8(1), 23–29. Link to source: https://doi.org/10.1111/j.1461-0248.2004.00686.x

Huang, J., Yu, H., Guan, X., Wang, G., & Guo, R. (2016). Accelerated dryland expansion under climate change. Nature Climate Change, 6(2), 166–171. Link to source: https://doi.org/10.1038/nclimate2837

Huang, X., Ibrahim, M. M., Luo, Y., Jiang, L., Chen, J., & Hou, E. (2024). Land use change alters soil organic carbon: Constrained global patterns and predictors. Earth’s Future, 12(5), Article e2023EF004254. Link to source: https://doi.org/10.1029/2023EF004254

IPCC Task Force on National Greenhouse Gas Inventories. (2019). Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories (Calvo Buendia, E., Tanabe, K., Kranjc, A., Baasansuren, J., Fukuda, M., Ngarize S., Osako, A., Pyrozhenko, Y., Shermanau, P. and Federici, S., Eds.). Intergovernmental Panel on Climate Change. Link to source: https://www.ipcc-nggip.iges.or.jp/public/2019rf/pdf/0_Overview/19R_V0_00_Cover_Foreword_Preface_Dedication.pdf 

Isbell, F., Craven, D., Connolly, J., Loreau, M., Schmid, B., Beierkuhnlein, C., Bezemer, T. M., Bonin, C., Bruelheide, H., de Luca, E., Ebeling, A., Griffin, J. N., Guo, Q., Hautier, Y., Hector, A., Jentsch, A., Kreyling, J., Lanta, V., Manning, P., … Eisenhauer, N. (2015). Biodiversity increases the resistance of ecosystem productivity to climate extremes. Nature, 526(7574), 574–577. Link to source: https://doi.org/10.1038/nature15374

Jackson, R. B., Banner, J. L., Jobbágy, E. G., Pockman, W. T., & Wall, D. H. (2002). Ecosystem carbon loss with woody plant invasion of grasslands. Nature, 418(6898), 623–626. Link to source: https://doi.org/10.1038/nature00910

Jones, K. R., Venter, O., Fuller, R. A., Allan, J. R., Maxwell, S. L., Negret, P. J., & Watson, J. E. M. (2018). One-third of global protected land is under intense human pressure. Science, 360(6390), 788–791. Link to source: https://doi.org/10.1126/science.aap9565

Kachler, J., Benra, F., Bolliger, R., Isaac, R., Bonn, A., & Felipe-Lucia, M. R. (2023). Can we have it all? The role of grassland conservation in supporting forage production and plant diversity. Landscape Ecology, 38(12), 4451–4465. Link to source: https://doi.org/10.1007/s10980-023-01729-4

Kemp, D. R., Guodong, H., Xiangyang, H., Michalk, D. L., Fujiang, H., Jianping, W., & Yingjun, Z. (2013). Innovative grassland management systems for environmental and livelihood benefits. Proceedings of the National Academy of Sciences, 110(21), 8369–8374. Link to source: https://doi.org/10.1073/pnas.1208063110

Kim, J. H., Jobbágy, E. G., & Jackson, R. B. (2016). Trade-offs in water and carbon ecosystem services with land-use changes in grasslands. Ecological Applications, 26(6), 1633–1644. Link to source: https://doi.org/10.1890/15-0863.1

Knapp, A. K., Chen, A., Griffin-Nolan, R. J., Baur, L. E., Carroll, C. J. W., Gray, J. E., Hoffman, A. M., Li, X., Post, A. K., Slette, I. J., Collins, S. L., Luo, Y., & Smith, M. D. (2020). Resolving the Dust Bowl paradox of grassland responses to extreme drought. Proceedings of the National Academy of Sciences, 117(36), 22249–22255. Link to source: https://doi.org/10.1073/pnas.1922030117

Lambin, E. F., Gibbs, H. K., Heilmayr, R., Carlson, K. M., Fleck, L. C., Garrett, R. D., le Polain de Waroux, Y., McDermott, C. L., McLaughlin, D., Newton, P., Nolte, C., Pacheco, P., Rausch, L. L., Streck, C., Thorlakson, T., & Walker, N. F. (2018). The role of supply-chain initiatives in reducing deforestation. Nature Climate Change, 8(2), 109–116. Link to source: https://doi.org/10.1038/s41558-017-0061-1

Lefcheck, J. S., Byrnes, J. E. K., Isbell, F., Gamfeldt, L., Griffin, J. N., Eisenhauer, N., Hensel, M. J. S., Hector, A., Cardinale, B. J., & Duffy, J. E. (2015). Biodiversity enhances ecosystem multifunctionality across trophic levels and habitats. Nature Communications, 6(1), Article 6936. Link to source: https://doi.org/10.1038/ncomms7936

Levy, S. A., Cammelli, F., Munger, J., Gibbs, H. K., & Garrett, R. D. (2023). Deforestation in the Brazilian Amazon could be halved by scaling up the implementation of zero-deforestation cattle commitments. Global Environmental Change, 80, Article 102671. Link to source: https://doi.org/10.1016/j.gloenvcha.2023.102671

Li, G., Fang, C., Watson, J. E. M., Sun, S., Qi, W., Wang, Z., & Liu, J. (2024). Mixed effectiveness of global protected areas in resisting habitat loss. Nature Communications, 15(1), Article 8389. Link to source: https://doi.org/10.1038/s41467-024-52693-9

Li, J., Huang, L., Cao, W., Wang, J., Fan, J., Xu, X., & Tian, H. (2023). Benefits, potential and risks of China’s grassland ecosystem conservation and restoration. Science of The Total Environment, 905, Article 167413. Link to source: https://doi.org/10.1016/j.scitotenv.2023.167413

Liechti, K., & Biber, J.-P. (2016). Pastoralism in Europe: Characteristics and challenges of highland-lowland transhumance. Revue Scientifique Et Technique (International Office of Epizootics), 35(2), 561–575. Link to source: https://doi.org/10.20506/rst.35.2.2541

Macdonald, K., Diprose, R., Grabs, J., Schleifer, P., Alger, J., Bahruddin, Brandao, J., Cashore, B., Chandra, A., Cisneros, P., Delgado, D., Garrett, R., & Hopkinson, W. (2024). Jurisdictional approaches to sustainable agro-commodity governance: The state of knowledge and future research directions. Earth System Governance, 22, Article 100227. Link to source: https://doi.org/10.1016/j.esg.2024.100227

Marin, F. R., Zanon, A. J., Monzon, J. P., Andrade, J. F., Silva, E. H. F. M., Richter, G. L., Antolin, L. A. S., Ribeiro, B. S. M. R., Ribas, G. G., Battisti, R., Heinemann, A. B., & Grassini, P. (2022). Protecting the Amazon forest and reducing global warming via agricultural intensification. Nature Sustainability, 5, 1018–1026. Link to source: https://doi.org/10.1038/s41893-022-00968-8

McNicol, I. M., Keane, A., Burgess, N. D., Bowers, S. J., Mitchard, E. T. A., & Ryan, C. M. (2023). Protected areas reduce deforestation and degradation and enhance woody growth across African woodlands. Communications Earth & Environment, 4(1), Article 392. Link to source: https://doi.org/10.1038/s43247-023-01053-4

Meng, Z., Dong, J., Ellis, E. C., Metternicht, G., Qin, Y., Song, X.-P., Löfqvist, S., Garrett, R. D., Jia, X., & Xiao, X. (2023). Post-2020 biodiversity framework challenged by cropland expansion in protected areas. Nature Sustainability, 6(7), 758–768. Link to source: https://doi.org/10.1038/s41893-023-01093-w

Michalk, D. L., Kemp, D. R., Badgery, W. B., Wu, J., Zhang, Y., & Thomassin, P. J. (2019). Sustainability and future food security—A global perspective for livestock production. Land Degradation & Development, 30(5), 561–573. Link to source: https://doi.org/10.1002/ldr.3217

Nabuurs, G.-J., Mrabet, R., Hatab, A. A., Bustamante, M., Clark, H., Havlík, P., House, J. I., Mbow, C., Ninan, K. N., Popp, A., Roe, S., Sohngen, B., & Towprayoon, S. (2022). Agriculture, forestry and other land uses (AFOLU). In P. R. Shukla, J. Skea, R. Slade, A. Al Khourdajie, R. van Diemen, D. McCollum, M. Pathak, S. Some, P. Vyas, R. Fradera, M. Belkacemi, A. Hasija, G. Lisboa, S. Luz, & J. Malley (Eds.), Climate change 2022: Mitigation of climate change. Contribution of working group III to the sixth assessment report of the intergovernmental panel on climate change (pp. 747–860). Cambridge University Press. Link to source: https://doi.org/10.1017/9781009157926.009

Nugent, D. T., Baker-Gabb, D. J., Green, P., Ostendorf, B., Dawlings, F., Clarke, R. H., & Morgan, J. W. (2022). Multi-scale habitat selection by a cryptic, critically endangered grassland bird—The Plains-wanderer (Pedionomus torquatus): Implications for habitat management and conservation. Austral Ecology, 47(3), 698–712. Link to source: https://doi.org/10.1111/aec.13157

Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D’amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., Loucks, C. J., Allnutt, T. F., Ricketts, T. H., Kura, Y., Lamoreux, J. F., Wettengel, W. W., Hedao, P., & Kassem, K. R. (2001). Terrestrial ecoregions of the world: A new map of life on Earth: A new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity. BioScience, 51(11), 933–938. Link to source: https://doi.org/10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2

Parente, L., Sloat, L., Mesquita, V., Consoli, D., Stanimirova, R., Hengl, T., Bonannella, C., Teles, N., Wheeler, I., Hunter, M., Ehrmann, S., Ferreira, L., Mattos, A. P., Oliveira, B., Meyer, C., Şahin, M., Witjes, M., Fritz, S., Malek, Z., & Stolle, F. (2024a). Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning. Scientific Data, 11(1), Article 1303. Link to source: https://doi.org/10.1038/s41597-024-04139-6

Parente, L., Sloat, L., Mesquita, V., Consoli, D., Stanimirova, R., Hengl, T., Bonannella, C., Teles, N., Wheeler, I., Hunter, M., Ehrmann, S., Ferreira, L., Mattos, A. P., Oliveira, B., Meyer, C., Şahin, M., Witjes, M., Fritz, S., Malek, Ž., & Stolle, F. (2024b). Global Pasture Watch—Annual grassland class and extent maps at 30-m spatial resolution (2000—2022) (Version v1) [Data set]. Zenodo. Link to source: https://doi.org/10.5281/zenodo.13890417

Pelser, A., Redelinghuys, N., & Kernan, A.-L. (2015). Protected Areas and ecosystem services—Integrating grassland conservation with human well-being in South Africa. In Biodiversity in Ecosystems—Linking Structure and Function. IntechOpen. Link to source: https://doi.org/10.5772/59015

Petermann, J. S., & Buzhdygan, O. Y. (2021). Grassland biodiversity. Current Biology, 31(19), R1195–R1201. Link to source: https://doi.org/10.1016/j.cub.2021.06.060

Poeplau, C. (2021). Grassland soil organic carbon stocks along management intensity and warming gradients. Grass and Forage Science, 76(2), 186–195. Link to source: https://doi.org/10.1111/gfs.12537

Poggio, L., de Sousa, L. M., Batjes, N. H., Heuvelink, G. B. M., Kempen, B., Ribeiro, E., & Rossiter, D. (2021). SoilGrids 2.0: Producing soil information for the globe with quantified spatial uncertainty. SOIL, 7(1), 217–240. Link to source: https://doi.org/10.5194/soil-7-217-2021

Ratajczak, Z., Nippert, J. B., & Collins, S. L. (2012). Woody encroachment decreases diversity across North American grasslands and savannas. Ecology, 93(4), 697–703. Link to source: https://doi.org/10.1890/11-1199.1

Resare Sahlin, K., Gordon, L. J., Lindborg, R., Piipponen, J., Van Rysselberge, P., Rouet-Leduc, J., & Röös, E. (2024). An exploration of biodiversity limits to grazing ruminant milk and meat production. Nature Sustainability, 7(9), 1160–1170. Link to source: https://doi.org/10.1038/s41893-024-01398-4

Saura, S., Bertzky, B., Bastin, L., Battistella, L., Mandrici, A., & Dubois, G. (2019). Global trends in protected area connectivity from 2010 to 2018. Biological Conservation, 238, Article 108183. Link to source: https://doi.org/10.1016/j.biocon.2019.07.028

Sloat, L., Balehegn, M., & Johnson, P. (2025, May 2). Grasslands Are Some of Earth’s Most Underrated Ecosystems. World Resources Institute. Link to source: https://www.wri.org/insights/grassland-benefits

Smith, M. D., Wilkins, K. D., Holdrege, M. C., Wilfahrt, P., Collins, S. L., Knapp, A. K., Sala, O. E., Dukes, J. S., Phillips, R. P., Yahdjian, L., Gherardi, L. A., Ohlert, T., Beier, C., Fraser, L. H., Jentsch, A., Loik, M. E., Maestre, F. T., Power, S. A., Yu, Q., … Zuo, X. (2024). Extreme drought impacts have been underestimated in grasslands and shrublands globally. Proceedings of the National Academy of Sciences, 121(4), Article e2309881120. Link to source: https://doi.org/10.1073/pnas.2309881120

Spawn, S. A., Sullivan, C. C., Lark, T. J., & Gibbs, H. K. (2020). Harmonized global maps of above and belowground biomass carbon density in the year 2010. Scientific Data, 7(1), Article 112. Link to source: https://doi.org/10.1038/s41597-020-0444-4

Stanley, P. L., Wilson, C., Patterson, E., Machmuller, M. B., & Cotrufo, M. F. (2024). Ruminating on soil carbon: Applying current understanding to inform grazing management. Global Change Biology, 30(3), Article e17223. Link to source: https://doi.org/10.1111/gcb.17223

Su, X., Han, W., Liu, G., Zhang, Y., & Lu, H. (2019). Substantial gaps between the protection of biodiversity hotspots in alpine grasslands and the effectiveness of protected areas on the Qinghai-Tibetan Plateau, China. Agriculture, Ecosystems & Environment, 278, 15–23. Link to source: https://doi.org/10.1016/j.agee.2019.03.013

Suttie, J. M., Reynolds, S. G., & Batello, C. (Eds.). (2005). Grasslands of the world (Vol. 34). Food and Agriculture Organization of the United Nations. Link to source: https://www.fao.org/4/y8344e/y8344e00.htm 

Sze, J. S., Carrasco, L. R., Childs, D., & Edwards, D. P. (2021). Reduced deforestation and degradation in Indigenous Lands pan-tropically. Nature Sustainability, 5(2), 123–130. Link to source: https://doi.org/10.1038/s41893-021-00815-2

United Nations Environment Programme World Conservation Monitoring Centre, & International Union for Conservation of Nature. (2024). Protected planet: The world database on protected areas (WDPA) and world database on other effective area-based conservation measures (WD-OECM) [Data set]. Retrieved November 2024 from Link to source: https://www.protectedplanet.net

Vijay, V., Fisher, J. R. B., & Armsworth, P. R. (2022). Co-benefits for terrestrial biodiversity and ecosystem services available from contrasting land protection policies in the contiguous United States. Conservation Letters, 15(5), Article e12907. Link to source: https://doi.org/10.1111/conl.12907

Villoria, N., Garrett, R., Gollnow, F., & Carlson, K. (2022). Leakage does not fully offset soy supply-chain efforts to reduce deforestation in Brazil. Nature Communications, 13(1), Article 5476. Link to source: https://doi.org/10.1038/s41467-022-33213-z

Visconti, P., Butchart, S. H. M., Brooks, T. M., Langhammer, P. F., Marnewick, D., Vergara, S., Yanosky, A., & Watson, J. E. M. (2019). Protected area targets post-2020. Science, 364(6437), 239–241. Link to source: https://doi.org/10.1126/science.aav6886

Wade, C. M., Austin, K. G., Cajka, J., Lapidus, D., Everett, K. H., Galperin, D., Maynard, R., & Sobel, A. (2020). What is threatening forests in Protected Areas? A global assessment of deforestation in Protected Areas, 2001–2018. Forests, 11(5), Article 539. Link to source: https://doi.org/10.3390/f11050539

Waldron, A., Adams, V., Allan, J., Arnell, A., Asner, G., Atkinson, S., Baccini, A., Baillie, J. E. M., Balmford, A., Beau, J. A., Brander, L., Brondizio, E., Bruner, A., Burgess, N., Burkart, K., Butchart, S., Button, R., Carrasco, R., Cheung, W., … Zhang, Y. P. (2020). Protecting 30% of the planet for nature: Costs, benefits and economic implications [Working paper]. International Institute for Applied Systems Analysis. Link to source: https://pure.iiasa.ac.at/id/eprint/16560/1/Waldron_Report_FINAL_sml.pdf

Ward, M., Saura, S., Williams, B., Ramírez-Delgado, J. P., Arafeh-Dalmau, N., Allan, J. R., Venter, O., Dubois, G., & Watson, J. E. M. (2020). Just ten percent of the global terrestrial protected area network is structurally connected via intact land. Nature Communications, 11(1), Article 4563. Link to source: https://doi.org/10.1038/s41467-020-18457-x

Watson, J. E. M., Dudley, N., Segan, D. B., & Hockings, M. (2014). The performance and potential of protected areas. Nature, 515(7525), 67–73. Link to source: https://doi.org/10.1038/nature13947

West, T. A. P., Wunder, S., Sills, E. O., Börner, J., Rifai, S. W., Neidermeier, A. N., Frey, G. P., & Kontoleon, A. (2023). Action needed to make carbon offsets from forest conservation work for climate change mitigation. Science, 381(6660), 873–877. Link to source: https://doi.org/10.1126/science.ade3535

Williams, M., Reay, D., & Smith, P. (2023). Avoiding emissions versus creating sinks—Effectiveness and attractiveness to climate finance. Global Change Biology, 29(8), 2046–2049. https://doi.org/10.1111/gcb.16598

Wolf, C., Levi, T., Ripple, W. J., Zárrate-Charry, D. A., & Betts, M. G. (2021). A forest loss report card for the world’s protected areas. Nature Ecology & Evolution, 5(4), 520–529. Link to source: https://doi.org/10.1038/s41559-021-01389-0

Yao, J., Liu, H., Huang, J., Gao, Z., Wang, G., Li, D., Yu, H., & Chen, X. (2020). Accelerated dryland expansion regulates future variability in dryland gross primary production. Nature Communications, 11(1), Article 1665. Link to source: https://doi.org/10.1038/s41467-020-15515-2

Yu, Q., Xu, C., Wu, H., Ke, Y., Zuo, X., Luo, W., Ren, H., Gu, Q., Wang, H., Ma, W., Knapp, A. K., Collins, S. L., Rudgers, J. A., Luo, Y., Hautier, Y., Wang, C., Wang, Z., Jiang, Y., Han, G., … Han, X. (2025). Contrasting drought sensitivity of Eurasian and North American grasslands. Nature, 639(8053), 114–118. Link to source: https://doi.org/10.1038/s41586-024-08478-7

Zhu, K., Chiariello, N. R., Tobeck, T., Fukami, T., & Field, C. B. (2016). Nonlinear, interacting responses to climate limit grassland production under global change. Proceedings of the National Academy of Sciences, 113(38), 10589–10594. Link to source: https://doi.org/10.1073/pnas.1606734113

Zhu, K., Song, Y., Lesage, J. C., Luong, J. C., Bartolome, J. W., Chiariello, N. R., Dudney, J., Field, C. B., Hallett, L. M., Hammond, M., Harrison, S. P., Hayes, G. F., Hobbs, R. J., Holl, K. D., Hopkinson, P., Larios, L., Loik, M. E., & Prugh, L. R. (2024). Rapid shifts in grassland communities driven by climate change. Nature Ecology & Evolution, 8(12), 2252–2264. Link to source: https://doi.org/10.1038/s41559-024-02552-z

Credits

Lead Fellow

  • Avery Driscoll

Contributors

  • Ruthie Burrows, Ph.D.

  • James Gerber, Ph.D.

  • Daniel Jasper

  • Alex Sweeney

Internal Reviewers

  • Aiyana Bodi

  • Hannah Henkin

  • Ted Otte

  • Christina Richardson, Ph.D.

  • Christina Swanson, Ph.D.

  • Paul C. West, Ph.D.

Effectiveness

We estimated that protecting 1 ha of grasslands avoids 0.06–0.90 t CO₂‑eq/yr, with emissions reductions tending to be higher in boreal and temperate regions than tropical and subtropical regions (100-yr GWP; Table 1a–d; Appendix).

We estimated effectiveness as the avoided emissions attributable to the reduction in grassland conversion conferred by protection (Equation 1; Appendix), assuming that converted grasslands are used as croplands due to data constraints. Although some grasslands are converted to intensively managed pastures or urban development, we assumed that the total land area converted to infrastructure is relatively small and emissions associated with conversion to planted pastures are comparable to those from conversion to cropland.

We aggregated estimates of avoided grassland conversion attributable to PAs from Li et al. (2024) to the biome level (Grassland lossavoided), then multiplied the result by the total emissions over 30 years from 1 ha of grassland converted to cropland. These emissions include the change in biomass and soil carbon on conversion to cropland (Carbonemissions), 30 years of lost carbon sequestration potential (Carbonuptake), and nitrous oxide emissions associated with soil carbon loss, which is a small component of total emissions (see Appendix for details; Chang et al. 2021; Huang et al., 2024; Intergovernmental Panel on Climate Change [IPCC] 2019; Poggio et al., 2021; Spawn et al., 2020).

left_text_column_width

Equation 1.

\[Effectiveness=(Grassland\text{ }loss_{avoided}) \times (Carbon_{emissions} + Carbon_{uptake}) \]

The effectiveness of grassland protection as defined here reflects only a small percentage of the carbon stored in grasslands because we accounted for the likelihood that the grassland would be converted without protection. Grassland protection is particularly impactful for areas at high risk of conversion.

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Table 1a–d. Effectiveness of grassland protection at avoiding emissions and sequestering carbon. Regional differences in values are driven by variation in carbon stocks, baseline rates of grassland conversion, and the effectiveness of PAs at reducing conversion.

Unit: t CO₂‑eq (100-yr basis)/ha/yr

Estimate 0.90

Unit: t CO₂‑eq (100-yr basis)/ha/yr

Estimate 0.54

Unit: t CO₂‑eq (100-yr basis)/ha/yr

Estimate 0.13

Unit: t CO₂‑eq (100-yr basis)/ha/yr

Estimate 0.06
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Cost

The costs of grassland protection include up-front costs of land acquisition and ongoing costs of management and enforcement. The market price of land reflects the opportunity cost of not using the land for other purposes, such as agriculture or urban development. Data related to the costs of grassland protection are very limited. 

We estimated that grassland protection provides a net cost savings of approximately US$0.53/ha/yr, or US$1.58/t CO₂‑eq avoided (Table 2). This estimate reflects global averages rather than regionally specific values, and some data are not specific to grasslands. Costs and revenues are highly variable across regions, depending on the costs of land and enforcement and the potential for tourism. 

Dienerstein et al. (2024) estimated the initial cost of establishing a PA for 60 high-biodiversity ecoregions. Amongst the 20 regions that contain grasslands, the median acquisition cost was US$897/ha, which we amortized over 30 years. Costs of PA maintenance were estimated at US$9–17/ha/yr (Bruner et al., 2004; Waldron et al., 2020), though these estimates were not specific to grasslands. Additionally, these estimates reflect the costs of effective enforcement and management, but many existing PAs lack adequate funds for effective enforcement (Adams et al., 2019; Barnes et al., 2018; Burner et al., 2004). 

Protecting grasslands can generate revenue through increased tourism. Waldron et al. (2020) estimated that, across all ecosystems, tourism revenues directly attributable to PA establishment were US$43 ha/yr, not including downstream revenues from industries that benefit from increased tourism. Inclusion of a tourism multiplier would substantially increase the estimated economic benefits of grassland protection.

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Table 2. Cost per unit of climate impact for grassland protection. Negative value indicates cost savings.

Unit: 2023 US$/t CO₂‑eq , 100-yr basis

Median -1.58
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Learning Curve

A learning curve is defined here as falling costs with increased adoption. The costs of grassland protection do not fall with increasing adoption, so there is no learning curve for this solution.

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Speed of Action

The term speed of action refers to how quickly a climate solution physically affects the atmosphere after it is deployed. This is separate from the speed of deployment, which is the pace at which solutions are adopted.

At Project Drawdown, we define the speed of action for each climate solution as emergency brake, gradual, or delayed.

Protect Grasslands is an EMERGENCY BRAKE climate solution. It reduces pulses of emissions from the conversion of grasslands, offering the potential to deliver a more rapid impact than gradual and delayed solutions. Because emergency brake solutions can deliver their climate benefits quickly, they can help accelerate our efforts to address dangerous levels of climate change. For this reason, they are a high priority.

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Caveats

Permanence

Permanence is a caveat for emissions avoidance through grassland protection that is not addressed in this analysis. Protected grasslands could be converted to agricultural uses or other development if legal protections are reversed or inadequately enforced, resulting in the loss of stored carbon. Many PAs allow for some human uses, and PA management that is not tailored to grazing needs, fire dependency, or woody plant encroachment can reduce carbon stocks within PAs (Barger et al., 2011; Chang et al., 2021; Conant et al, 2017; Jackson et al., 2002; Kemp et al., 2013; Popleau et al., 2011). Climate change is also causing widespread degradation of grasslands, including reductions in vegetation productivity that may reduce carbon storage over the long term even in the absence of additional disturbance (Chang et al., 2021; Gang et al., 2014; Li et al., 2023; Zhu et al., 2016). Climate change and aridification may also cause expansion of grassland extent (Berg & McColl, 2021; Feng & Fu, 2014; Huang et al., 2016), with mixed but overall negative impacts on terrestrial carbon uptake (Yao et al., 2020).

Additionality

Additionality is another important caveat for emissions avoidance through ecosystem protection (Ahlering et al., 2016; Williams et al., 2023). In this analysis, additionality was addressed by using baseline rates of grassland conversion in calculating effectiveness. Evaluating additionality is challenging and remains an active area of research.

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Current Adoption

A total of 555 Mha of grasslands (excluding grasslands on peat soils, grasslands that are also coastal wetlands, and grasslands created through deforestation) are currently located within PAs, and an additional 832 Mha are located on IPLs not classified as PAs (Table 3e). That means that ~48% of grasslands are under some form of protection globally, with 6% in strict PAs, 13% in non-strict PAs, and 29% on IPLs that are not also PAs. As of 2023, tropical regions had the largest extent of protected grasslands (583 Mha), followed by boreal regions (339 Mha), and subtropical regions (293 Mha). In temperate regions, only 24% of grasslands (172 Mha) were under any form of protection (Table 3a–d).

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Table 3a–e. Grassland under protection by biome (circa 2023). Estimates are provided for three different forms of protection: “strict” protection, including IUCN classes I and II; “non-strict” protection, including all other IUCN categories; and IPLs outside of PAs. Regional values may not sum to global totals due to rounding.

Unit: ha protected

Strict PAs 52,564,000
Non-strict PAs 82,447,000
IPLs 203,579,000

Unit: ha protected

Strict PAs 30,242,000
Non-strict PAs 51,033,000
IPLs 90,973,000

Unit: ha protected

Strict PAs 31,949,000
Non-strict PAs 83,745,000
IPLs 177,301,000

Unit: ha protected

Strict PAs 56,233,000
Non-strict PAs 166,356,000
IPLs 359,997,000

Unit: ha protected

Strict PAs 170,988,000
Non-strict PAs 383,581,000
IPLs 831,850,000
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Adoption Trend

We calculated the annual rate of new grassland protection based on the year of PA establishment for areas established in 2000–2020. The median annual increase in grassland protection was 8.1 Mha (mean 11.4 Mha; Table 4e). This represents a roughly 1.5%/yr increase in grasslands within PAs, or protection of an additional 0.3%/yr of total global grasslands. Grassland protection has proceeded more quickly in tropical regions (median increase of 4.0 Mha/yr) than in other climate zones (median increases of 1.2–1.6 Mha/yr) (Table 4a–d). 

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Table 4a–e. Adoption trend for grassland protection in PAs of any IUCN class (2000–2020). The 25th and 75th percentiles reflect only interannual variance (ha grassland protected/yr). IPLs are not included in this analysis due to a lack of data.

Unit: ha grassland protected/yr

25th percentile 659,000
Median (50th percentile) 1,338,000
Mean 2,152,000
75th percentile 3,007,000

Unit: ha grassland protected/yr

25th percentile 692,000
Median (50th percentile) 1,178,000
Mean 1,728,000
75th percentile 1,715,000

Unit: ha grassland protected/yr

25th percentile 940,000
Median (50th percentile) 1,580,000
Mean 2,791,000
75th percentile 3,226,000

Unit: ha grassland protected/yr

25th percentile 2,628,000
Median (50th percentile) 4,044,000
Mean 4,711,000
75th percentile 5,774,000

Unit: ha grassland protected/yr

25th percentile 4,919,000
Median (50th percentile) 8,140,000
Mean 11,382,000
75th percentile 13,722,000
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Figure 1. Trend in grassland protection by climate zone (2000-2020) in terms of total hectares protected (left) and the percent of the current adoption ceiling protected (right). These values reflect only the area located within PA. Grasslands located in IPLs, which were not included in the calculation of the adoption trend due to a lack of data, are excluded. Data from Project Drawdown.

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Adoption Ceiling

Including grasslands that are currently protected, we estimated that there are approximately 2,891 Mha of natural grasslands that are not counted in a different solution (Table 5e). This ceiling includes 1,505 Mha that are not currently under any form of protection. This includes 533 Mha of eligible grasslands in boreal regions, 723 Mha in temperate regions, 626 Mha in the subtropics, and 1,008 Mha in the tropics (Table 5a–d). 

To develop these estimates, we relied on the global grassland map from Parente et al. (2024), excluded areas that were included in the Protect Forests, Protect Peatlands, and Protect Coastal Wetlands solutions, and excluded areas that were historically forested according to the Terrestrial Ecoregions of The World dataset (Olson et al., 2001; Appendix). While it is not socially, politically, or economically realistic that all remaining grasslands could be protected, these values represent the technical upper limit to adoption of this solution.

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Table 5a–e. Adoption ceiling: upper limit for adoption of legal protection of grasslands by biome. Values may not sum to global totals due to rounding. 

Unit: ha protected

Estimate 533,033,000

Unit: ha protected

Estimate 723,429,000

Unit: ha protected

Estimate 626,474,000

Unit: ha protected

Estimate 1,008,375,000

Unit: ha protected

Estimate 2,891,311,000
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Achievable Adoption

We assigned a low achievable level of a minimum of 50% of grasslands in each climate zone (Table 6a–e). For boreal and tropical regions, in which 64% and 58%, respectively, of grasslands are already protected, we assumed no change in the area under protection (Table 6a, d). For temperate areas, the low achievable target reflects an increase of 189 Mha, or more than a doubling of the current PA extent (Table 6b). In subtropical zones, this target reflects an additional 20 Mha under protection (Table 6c). We assigned a high achievable level of 70% of grasslands in each climate zone, reflecting an additional 637 Mha of protected grasslands globally, or a 46% increase in the current PA extent (Table 6a–e).

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Table 6a–e. Range of achievable adoption of grassland protection by biome.

Unit: ha protected

Current adoption 338,590,000
Achievable – low 338,590,000
Achievable – high 373,123,000
Adoption ceiling 533,033,000

Unit: ha protected

Current adoption 172,248,000
Achievable – low 361,715,000
Achievable – high 506,400,000
Adoption ceiling 723,429,000

Unit: ha protected

Current adoption 292,995,000
Achievable – low 313,237,000
Achievable – high 438,532,000
Adoption ceiling 626,474,000

Unit: ha protected

Current adoption 582,586,000
Achievable – low 582,586,000
Achievable – high 705,863,000
Adoption ceiling 1,008,375,000

Unit: ha protected

Current adoption 1,386,419,000
Achievable – low 1,596,128,000
Achievable – high 2,023,918,000
Adoption ceiling 2,891,311,000
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We estimated that PAs currently reduce GHG emissions from grassland conversion by 0.468 Gt CO₂‑eq/yr (Table 7a–e). Achievable levels of grassland protection have the potential to reduce emissions 0.572–0.704 Gt CO₂‑eq/yr, with a technical upper bound of 1.006 Gt CO₂‑eq/yr (Table 7a–e). This indicates that further emissions reductions of 0.105–0.237 Gt CO₂‑eq/yr are achievable. For these benefits to be realized, grazing, fire, and woody plant management must be responsive to local grassland needs and compatible with the maintenance of carbon stocks. The solutions Improve Livestock Grazing and Deploy Silvopasture address the climate impacts of some aspects of grassland management.

Few other sources explicitly quantify the climate impacts of grassland protection, but the available data are roughly aligned with our estimates of additional mitigation potential. The Intergovernmental Panel on Climate Change estimated that avoided conversion of grasslands to croplands could reduce emissions by 0.03–0.7 Gt CO₂‑eq/yr (Nabuurs et al., 2022). Griscom et al. (2017) estimated that avoided grassland conversion could save 0.12 Gt CO₂‑eq/yr emissions from soil carbon only (not counting loss of vegetation, sequestration potential, or nitrous oxide), though their analysis did not account for current protection and relied on older estimates of grassland conversion. 

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Table 7a–e. Climate impact at different levels of adoption.

Unit: GtCO₂‑eq/yr, 100-year basis

Current adoption 0.305
Achievable – low 0.305
Achievable – high 0.336
Adoption ceiling 0.481

Unit: GtCO₂‑eq/yr, 100-year basis

Current adoption 0.093
Achievable – low 0.195
Achievable – high 0.273
Adoption ceiling 0.390

Unit: GtCO₂‑eq/yr, 100-year basis

Current adoption 0.037
Achievable – low 0.039
Achievable – high 0.055
Adoption ceiling 0.078

Unit: GtCO₂‑eq/yr, 100-year basis

Current adoption 0.033
Achievable – low 0.033
Achievable – high 0.040
Adoption ceiling 0.057

Unit: GtCO₂‑eq/yr, 100-year basis

Current adoption 0.468
Achievable – low 0.572
Achievable – high 0.704
Adoption ceiling 1.006
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Additional Benefits

Floods

Grassland plants often have deep root systems, leading to high soil carbon stocks (Sloat et al., 2025). These roots can absorb water and reduce discharge into surrounding water bodies during periods of excessive rain (GRaSS, 2024).

Droughts

Different grassland plant species respond differently to drought. Variations in precipitation seasonality due to drought may allow some grass species to dominate over others (Knapp et al., 2020). Evidence suggests that higher species diversity can enhance grassland resilience to drought (Smith et al., 2024; Yu et al., 2025).  Additionally, the deep root systems of grassland plants contribute to the drought resilience of these ecosystems (Sloat et al., 2025). More resilient, biodiverse grasslands are associated with greater ecosystem stability and productivity, and can maintain ecosystem services during periods of extreme weather, such as drought (Isbell et al, 2015; Lefcheck et al., 2015).

Income and Work

Grasslands are an important source of income for surrounding communities through tourism and other ecosystem services (Bengtsson et al., 2019). Protecting grasslands sustains the long-term health of the ecosystem, which is especially important for subsistence livelihoods that depend on intact landscapes for incomes (Pelser, 2015). Sources of income that are directly generated from grasslands include: meat, milk, wool, and leather and thatching materials to make brooms, hats, and baskets (GRaSS, 2024; Pelser, 2015). People living near grasslands often rely on grazing livestock for food and income (GRaSS, 2024, Kemp 2013, Su et al., 2019). Grasslands in China support the livelihoods of about 16 million people, many of whom live in poverty (Kemp et al., 2013). The Qinghai-Tibetan Plateau is especially important for grazing livestock (Su et al., 2019). Evidence has shown that declines in grassland productivity are also linked to declines in income (Kemp et al., 2013).

Food Security

Grasslands can contribute to food security by providing food for livestock and supporting pollinators for nearby agriculture (Sloat et al., 2025). Grassland-based grazing systems are important sources of food for populations in low and middle-income countries, particularly in Oceania, Latin America, the Caribbean, the Middle East, North Africa, and sub-Saharan Africa (Resare Sahlin et al., 2023). Grasslands can support the food security of smallholder farmers and pastoralists in these regions by providing meat and milk (GRaSS, 2024; Michalk, 2018). 

Equality

Grasslands are central to many cultures, and grassland protection can support shared cultural and spiritual values for many populations. They can be sources of identity for people living in or near grassland ecosystems who have strong connections with the land (Bengtsson et al., 2019, GRaSS, 2024). In Mongolia, for example, grasslands sustain horses, which are central to the cultural identities and livelihoods of communities, particularly nomadic populations (Kemp et al., 2014). Grasslands can also be an important source of shared identity for pastoralists who move herds to graze based on seasonal cycles during the year (Liechti & Biber, 2016).

Nature Protection

Many grasslands are biodiversity hot spots (Petermann & Buzhdygan, 2021; Su et al., 2019). Numerous plant and animal species are endemic to grasslands, meaning they have limited habitat ranges and can easily become endangered with habitat degradation (Sloat et al., 2025). In Germany, grasslands in PAs were found to have higher plant diversity than in non-PAs (Kachler et al., 2023). Grasslands are important habitats for bird species that rely on them for breeding grounds (GRaSS, 2024; Nugent et al., 2022).

Land Resources

The unique, deep root structures of some grassland plants can improve soil stability and reduce soil erosion (Bengtsson et al., 2019; GRaSS, 2024; Kemp et al., 2013).

Water Resources

Grasslands can regulate water flows and water storage. The root systems can help rainwater reach deep underground, recharging groundwater stores (Bengtsson et al., 2019; GRaSS, 2024).

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Risks

Relying on grassland protection as an emissions reduction strategy can be undermined if ecosystem conversion that is not allowed inside a PA simply takes place outside of it instead (Aherling et al., 2016; Asamoah et al., 2021). If such leakage leads to conversion of ecosystems that have higher carbon stocks, such as forests, peatlands, or coastal wetlands, total emissions may increase. Combining grassland protection with policies to reduce incentives for ecosystem conversion can help avoid leakage.

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Interactions with Other Solutions

Reinforcing

PAs often include multiple ecosystems. Grassland protection will likely lead to protection of other ecosystems within the same areas, and the health of nearby ecosystems is improved by the services provided by intact grasslands. 

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Restored grasslands need protection to reduce the risk of future disturbance, and the health of protected grasslands can be improved through the restoration of adjacent degraded grasslands.

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Competing

Protecting grasslands & savannas could limit land availability for renewable energy technologies and raw material and food production and therefore competes with the following solutions for land:

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Dashboard

Solution Basics

ha of grassland or savanna protected

t CO₂-eq (100-yr)/unit/yr
0.9
units
Current 3.386×10⁸ 03.386×10⁸3.731×10⁸
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.305 0.3050.336
US$ per t CO₂-eq
-2
Emergency Brake

CO₂,  N₂O

Solution Basics

ha of grassland or savanna protected

t CO₂-eq (100-yr)/unit/yr
0.54
units
Current 1.722×10⁸ 03.617×10⁸5.064×10⁸
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.093 0.1950.273
US$ per t CO₂-eq
-2
Emergency Brake

CO₂,  N₂O

Solution Basics

ha of grassland or savanna protected

t CO₂-eq (100-yr)/unit/yr
0.13
units
Current 2.93×10⁸ 03.132×10⁸4.385×10⁸
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.037 0.0390.055
US$ per t CO₂-eq
-2
Emergency Brake

CO₂,  N₂O

Solution Basics

ha of grassland or savanna protected

t CO₂-eq (100-yr)/unit/yr
0.06
units
Current 5.826×10⁸ 05.826×10⁸7.059×10⁸
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.033 0.0330.04
US$ per t CO₂-eq
-2
Emergency Brake

CO₂,  N₂O

Trade-offs

Establishment of PAs may limit local access to grasslands for grazing or other forms of income generation, although effective management plans should account for the grazing needs of the protected grassland. Second, allocation of budgetary resources to PA establishment may divert resources from maintenance and enforcement of existing PAs. Finally, protection of grasslands may reduce land availability for renewable energy infrastructure, such as solar and wind power.

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Action Word
Protect
Solution Title
Grasslands & Savannas
Classification
Highly Recommended
Lawmakers and Policymakers
  • Set scalable targets (across both biogeographic and administrative levels) for grassland protections, including outcomes-based reporting, indicators for the rate of progress, goals for inclusivity, and measurements for enforcement efficacy; incorporate these targets into national climate plans and multilateral agreements.
  • Ensure public procurement uses products and supply chains that do not disrupt PAs and grasslands; ensure public development projects do not disturb PAs and grasslands.
  • Grant Indigenous communities full property rights and autonomy and support them in monitoring, managing, and enforcing PAs; adhere to principles of free, prior, and informed consent when engaging with Indigenous communities and lands.
  • Manage fire, biodiversity, and grazing in protected grasslands in accordance with ecological needs, learning from and working with Indigenous communities.
  • Ensure PAs don’t displace, violate rights, or reduce access to vital resources for local and Indigenous communities.
  • Expand regulatory, legal, and technical support for privately protected grasslands.
  • When expanding PAs, acquire relevant adjacent properties first, if possible, to increase connectivity and reduce costs; grant restored grasslands protected status.
  • Invest in PA infrastructure, monitoring, management, and enforcement mechanisms.
  • Ban or restrict overgrazing and extractive harvesting while allowing for sustainable use of PAs from Indigenous and local communities; compensate herders for lost grazing lands, if necessary.
  • Ensure PAs are adequately financed and, if applicable, provide financing for low- and middle-income countries and communities for grassland protections.
  • Ensure incentives and/or compensation for reducing livestock or protecting grasslands are evenly distributed with particular attention to low- and middle-income farmers and communities.
  • Use financial incentives such as subsidies, tax breaks, payments for ecosystem services (PES), and debt-for-nature swaps to protect grasslands from development.
  • Remove harmful subsidies for agricultural, grazing, mining, and other resource extraction.
  • Use comanagement, community-governed, land-trust, and/or privately protected models to expand PAs, increase connectivity, and engage communities; ensure a participatory approach to designating and managing PAs.
  • Use real-time monitoring, ground-level sensors, and satellite data to enforce protections, ensuring adequate baseline data are gathered if possible.
  • Ensure budgets adequately split financing between expanding PAs and managing PAs; prioritize quality management of existing PAs before expanding new designations except in cases where nonprotected land conversion presents the most serious risks to people, the climate, or biodiversity.
  • Conduct proactive land-use planning to avoid roads and other development projects that may interfere with PAs or incentivize development.
  • Create processes for legal grievances, dispute resolution, and restitution.
  • Create programs that educate the public on PA regulations, the benefits of the regulations, and how to use grassland resources sustainably.
  • Join, support, or create certification and independent audit schemes to monitor effectiveness and identify necessary improvements in management.

Further information:

Practitioners
  • Set scalable targets (across both biogeographic and administrative levels) for grassland protection, including outcomes-based reporting, indicators for the rate of progress, goals for inclusivity, and measurements for enforcement efficacy; advocate to incorporate these targets into national climate plans and multilateral agreements.
  • Improve monitoring and evaluation standards for grassland ecologies and the impacts from animal agriculture.
  • Ensure incentives and/or compensation for reducing livestock or protecting grasslands are evenly distributed with particular attention to low- and middle-income farmers and communities.
  • Ensure PAs are adequately financed and, if applicable, provide financing for low- and middle-income countries and communities for grassland protections.
  • When expanding PAs, acquire relevant adjacent properties first, if possible, to increase connectivity and reduce costs.
  • Use financial incentives such as subsidies, tax breaks, PES, and debt-for-nature swaps to protect grasslands from development.
  • Empower local communities to manage grasslands and ensure a participatory approach to designating and managing PAs.
  • Use comanagement, community-governed, land-trust, and/or privately-protected models to expand PAs, increase connectivity, and engage communities.
  • Ban or restrict overgrazing and extractive harvesting while allowing sustainable use of PAs by Indigenous and local communities; compensate herders for lost grazing lands if necessary.
  • Use real-time monitoring, ground-level sensors, and satellite data to enforce protections, ensuring adequate baseline data are gathered if possible.
  • Ensure budgets adequately split financing between expanding PAs and managing PAs; prioritize quality management of existing PAs before expanding new designations - except in cases where non-protected land conversion presents the most serious risk to people, the climate, or biodiversity.
  • Create education programs that educate the public on PA regulations, the benefits of the regulations, and how to use grassland resources sustainably.
  • Join, support, or create certification and independent audit schemes to monitor effectiveness and identify necessary improvements in management.

Further information:

Business Leaders
  • Ensure operations, development, and supply chains are not degrading grasslands or interfering with PA management.
  • Integrate grassland protection into net-zero strategies, if relevant.
  • Commit and adhere to minimizing irrecoverable carbon loss through development projects, supply-chain management, and general operations.
  • Help revise existing or create new high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Only purchase carbon credits from high-integrity, verifiable carbon markets, and do not use them as replacements for decarbonizing operations or claim them as “offsets.”
  • Consider donating to established grassland protection funds in place of carbon credits.
  • Take advantage of financial incentives such as subsidies, tax breaks, and PES to grasslands from development.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support Indigenous and local communities' capacity for management, legal protection, and public relations.
  • Leverage political influence to advocate for stronger grassland protection policies at national and international levels.
  • Conduct proactive land use planning to avoid roads and other development projects that may interfere with PAs.
  • Join, support, or create certification and independent audit schemes to monitor effectiveness and identify necessary improvements in management.

Further information:

Nonprofit Leaders
  • Advocate for enhanced enforcement of existing PAs and IPLs, expansion of new PAs and IPLs, and for more public investments.
  • Advocate for scalable targets (across both biogeographic and administrative levels) for grassland protections, including outcomes-based reporting, indicators for the rate of progress, goals for inclusivity, and measurements for enforcement efficacy; advocate for these goals to be incorporated into national climate plans and multilateral agreements.
  • Help manage and monitor protected grasslands using real-time monitoring, ground-based sensors, and satellite data.
  • Provide financial support for monitoring and enforcement of PAs and IPLs.
  • Help conduct proactive land-use planning to avoid infrastructure or development projects that may interfere with protected grasslands or incentivize destruction.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over PAs or IPLs.
  • Help revise existing or create new high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support the capacity of Indigenous and local communities for management, legal protection, and public relations.
  • Use or advocate for financial incentives such as subsidies, tax breaks, and PES to protect grasslands from development.
  • Improve monitoring and evaluation standards for grassland ecologies and the impacts from animal agriculture.
  • Help classify and map grasslands, carbon stocks, and biodiversity data and create local, national, and international standards for classification.
  • Work with insurance companies to reduce insurance premiums for properties that protect or maintain grasslands.
  • Create and manage a global database of protected grasslands, grassland loss, restoration, and management initiatives.
  • Join, support, or create certification and independent audit schemes to monitor effectiveness and identify necessary improvements in management.
  • Create programs that educate the public on PA regulations, the benefits of the regulations, and how to use grassland resources sustainably.

Further information:

Investors
  • Ensure investment portfolios do not degrade grasslands or interfere with PAs or IPLs, using data, information, and the latest technology to inform investments.
  • Consider any project that releases irrecoverable carbon loss through the destruction of ecosystems like grasslands to be high risk, avoid investments in these projects as much as possible, and divest from any companies violating this principle.
  • Invest in grassland protection, monitoring, management, and enforcement mechanisms.
  • Use financial mechanisms such as credible biodiversity offsets, payments for ecosystem services, voluntary high-integrity carbon markets, and debt-for-nature swaps to fund grassland protection.
  • Invest in and support the capacity of Indigenous and local communities for management, legal protection, and public relations.
  • Share with other investors and nongovernmental organizations data, information, and investment frameworks that successfully avoid investments that drive grassland destruction.
  • Provide favorable loans to Indigenous communities and entrepreneurs and businesses protecting grasslands.
  • Join, support, or create certification and independent audit schemes to monitor effectiveness and identify necessary improvements in management.

Further information:

Philanthropists and International Aid Agencies
  • Advocate for enhanced enforcement of existing PAs and IPLs, expansion of new PAs and IPLs, and more public investments.
  • Advocate for scalable targets (across both biogeographic and administrative levels) for grassland protections, including outcomes-based reporting, indicators for the rate of progress, goals for inclusivity, and measurements for enforcement efficacy; advocate for these goals to be incorporated into national climate plans and multilateral agreements.
  • Use or advocate for financial incentives such as subsidies, tax breaks, and PES to protect grasslands from development.
  • Help manage and monitor protected grassland, using real-time monitoring and satellite data.
  • Provide technical assistance to low- and middle-income countries and communities for grasslands protection.
  • Provide financial assistance to low- and middle-income countries and communities for grasslands protection.
  • Provide financial support to organizations and institutions developing and deploying monitoring technology and conducting grassland research.
  • Help conduct proactive land-use planning to avoid infrastructure or development projects that may interfere with protected grasslands or incentivize destruction.
  • Help revise existing or create new high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support Indigenous and local communities' capacity for management, legal protection, and public relations.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over PAs or IPLs.
  • Help classify and map grasslands, carbon stocks, and biodiversity data and create local, national, and international standards for classification.
  • Work with insurance companies to reduce insurance premiums for properties that protect or maintain grasslands.
  • Create and manage a global database of protected grasslands, grassland loss, restoration, and management initiatives.
  • Join, support, or create certification and independent audit schemes to monitor effectiveness and identify necessary improvements in management.
  • Create education programs that educate the public on PA regulations, the benefits of the regulations, and how to use grassland resources sustainably.

Further information:

Thought Leaders
  • Help change the narrative around grasslands by highlighting their value and benefits such as supporting human life, biodiversity, ecosystem resilience, and climate regulation.
  • Advocate for enhanced enforcement of existing PAs and IPLs, expansion of new PAs and IPLs, and public investments.
  • Advocate for scalable targets (across both biogeographic and administrative levels) for grassland protections, including outcomes-based reporting, indicators for the rate of progress, goals for inclusivity, and measurements for enforcement efficacy; advocate for these to be incorporated into national climate plans and multilateral agreements.
  • Advocate for or use financial incentives such as subsidies, tax breaks, PES, and debt-for-nature swaps to protect grasslands from development.
  • Help manage and monitor protected grasslands using real-time monitoring and satellite data.
  • Help conduct proactive land-use planning to avoid infrastructure or development projects that may interfere with protected grasslands or incentivize conversion.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over PAs or IPLs.
  • Help improve monitoring and evaluation standards for grassland ecologies and impacts from animal agriculture.
  • Help revise existing or create new high-integrity carbon and biodiversity markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Support Indigenous and local communities' capacity for legal protection, management, and public relations.
  • Help classify and map grasslands, carbon stocks, and biodiversity data and create local, national, and international standards for classification.
  • Create and manage a global database of protected grasslands, grassland loss, restoration, and management initiatives.
  • Join, support, or create certification and independent audit schemes to monitor effectiveness and identify necessary improvements in management.
  • Create programs that educate the public on PA regulations, the benefits of the regulations, and how to use grassland resources sustainably.

Further information:

Technologists and Researchers
  • Develop standardized indicators of grassland degradation.
  • Research the ecological interactions of grasslands with other ecosystems; share data widely and include recommendations for coordinated action.
  • Assess and publish costs of PA designation, management, and evaluation.
  • Conduct comparative analysis on different types of governance models for PAs to determine impacts on climate, biodiversity, and human well-being.
  • Examine the relationship between geography and governance structures of private PAs, looking for spatial patterns and roles of various stakeholders such NGOs, businesses, and private landowners.
  • Study behavioral change mechanisms that can increase effectiveness and enforcement of PAs.
  • Improve monitoring methods using field measurements, models, satellite imagery, and GIS tools.
  • Create or improve on existing software tools that allow for dynamic planning and management of PAs by monitoring impacts on local communities, the climate, and biodiversity.
  • Create local research sites to support PAs and provide technical assistance.
  • Create tools for local communities to monitor grasslands, such as mobile apps, e-learning platforms, and mapping tools.
  • Develop supply chain tracking software for investors and businesses seeking to create sustainable portfolios and products.

Further information:

Communities, Households, and Individuals
  • Avoid developing intact grasslands and adhere to sustainable use guidelines of PAs.
  • Participate or volunteer in local grassland protection efforts; use or advocate for comanagement, community-governed, land-trust, and/or privately protected models to expand PAs, increase connectivity, and allow for continued community engagement.
  • Help manage and monitor protected grasslands using real-time monitoring and satellite data.
  • Establish coordinating bodies for farmers, herders, developers, landowners, policymakers, and other stakeholders to holistically manage PAs.
  • Advocate for enhanced enforcement of existing PAs and IPLs, expansion of new PAs and IPLs, and public investments.
  • Help conduct proactive land-use planning to avoid infrastructure or development projects that may interfere with protected grasslands or incentivize destruction.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over PAs or IPLs.
  • Help revise existing or create new high-integrity carbon and biodiversity markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Support Indigenous communities' capacity for management, legal protection and public relations.
  • Use or advocate for financial incentives such as subsidies, tax breaks, and PES to protect grasslands from development.
  • Help classify and map grasslands and create local, national, and international standards for classification.
  • Ensure PAs don’t displace, violate rights, or reduce access to vital resources for local and Indigenous communities.
  • Work with insurance companies to reduce insurance premiums for properties that protect or maintain grasslands.
  • Plant native species to help improve the local ecological balance and stabilize the soil, especially on property adjacent to PAs.
  • Use nontoxic cleaning and gardening supplies, purchase unbleached paper products, and recycle to help keep pollution and debris out of grasslands.
  • Join, support, or create certification and independent audit schemes to monitor effectiveness and identify necessary improvements in management.
  • Create programs that educate the public on PA regulations, the benefits of the regulations, and how to use grassland resources sustainably.

Further information:

Sources
Evidence Base

Consensus of effectiveness in reducing emissions and maintaining carbon removal: High

There is high scientific consensus that grassland protection reduces emissions by reducing conversion of grasslands. Grasslands have been extensively converted globally because of their utility for agricultural use, and many extant grasslands are at high risk of conversion (Carbutt et al., 2017; Gang et al., 2014). Li et al. (2024) found that PAs prevent conversion of approximately 0.35% of global grasslands per year. Although grasslands remain understudied relative to some other ecosystems, there is robust evidence that PAs and IPLs reduce forest conversion, with estimates in different regions ranging from 17–75% reductions in forest loss relative to unprotected areas (Baragwanth & Bayi, 2020; Graham et al., 2021; McNichol et al., 2023; Sze et al., 2022; Wolf et al., 2022). Additional research specific to grasslands on the effectiveness of PAs and IPLs at preventing land use change would be valuable. 

Conversion of grasslands to croplands produces emissions through the loss of soil carbon and biomass (IPCC, 2019). A recent meta-analysis based on 5,980 soil carbon measurements found that grassland conversion to croplands reduces soil carbon stocks by a global average of 23%, or almost 30 t CO₂ /ha (Huang et al., 2024), before accounting for nitrous oxide emissions (IPCC, 2019), loss of biomass carbon stocks (Spawn et al., 2020), and loss of sequestration potential (Chang et al., 2021).

Regional studies also find that grassland protection provides emissions savings. For instance, a study of grasslands in Argentina and the United States found that conversion to croplands reduced total carbon stocks, including soil and biomass, by 117 t CO₂‑eq /ha (Kim et al., 2016). Ahlering et al. (2016) conclude that protecting just 210,000 ha of unprotected grasslands in the U.S. Northern Great Plains would avoid 11.7 Mt CO₂‑eq over 20 years, with emissions savings of 51.6 t CO₂‑eq /ha protected, or 35.6 t CO₂‑eq /ha after accounting for leakage and uncertainty. 

The quantitative results presented in this assessment synthesize findings from 13 global datasets supplemented by three meta-analyses with global scopes. We recognize that geographic bias in the information underlying global data products creates bias and hope this work inspires research and data sharing on this topic in underrepresented regions.

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Appendix

This analysis quantifies the emissions avoidable through legal protection of grasslands via establishment of PAs or land tenure for Indigenous peoples. We leveraged a global grassland distribution map alongside other ecosystem distribution maps, shapefiles of PAs and IPLs, available data on rates of avoided ecosystem loss attributable to PA establishment, maps of grassland carbon stocks in above- and below-ground biomass, and biome-level estimates of soil carbon loss for grasslands converted to croplands. This appendix describes the source data products and how they were integrated. 

Grassland Extent

We relied on the 30-m resolution global map of grassland extent developed by Parente et al. (2024), which classifies both “natural and semi-natural grasslands” and “managed grasslands.” This solution considers only the “natural and semi-natural grasslands” class. We first resampled the data to 1 km resolution by calculating the percent of the pixel occupied by grasslands. To avoid double counting land considered in other ecosystem protection solutions (Protect Forests, Protect Peatlands, and Protect Coastal Wetlands), we then adjusted the grassland map so that no pixel contained a value greater than 100% after summing all ecosystem types. These other ecosystems can overlap with grasslands either because they are non-exclusive (e.g., peatland soils can have grassland vegetation), or because of variable definitions (e.g., the grassland map allows up to 50% tree cover, which could be classified as a forest by other land cover maps). After adjusting for other ecosystems, we used the Terrestrial Ecoregions of the World data (Olson et al., 2001) to exclude areas of natural forest, because these areas are eligible for other solutions. 

The resultant raster of proportionate grassland coverage was converted to absolute areas, and used to calculate the total grassland area for each of four latitude bands (tropical: –23.4° to 23.4°; subtropical: –35° to –23.4° and 23.4° to 35°; temperate: –50° to –35° and 35° to 50°; boreal: <–50° and >50°). The analysis was conducted by latitude bands in order to retain some spatial variability in emissions factors and degradation rates. 

Protected Grassland Areas

We identified protected grassland areas using the World Database on Protected Areas (WDPA) (UNEP-WCMC and IUCN, 2024), which contains boundaries for each PA and additional information, including their establishment year and IUCN management category (Ia–VI, not applicable, not reported, and not assigned). The PA boundary data were converted to a raster and used to calculate the grassland area within PA boundaries for each latitude band and each PA category. To evaluate trends in adoption over time, we also aggregated protected areas by establishment year as reported in the WDPA. 

We used the maps of IPLs from Garnett et al. (2018) to identify IPLs that were not inside of established PAs. The total grassland area within IPLs was calculated according to the same process as for PAs.

Avoided Grassland Conversion

Broadly, we estimated annual, per-hectare emissions savings from grassland protection as the difference between net carbon exchange in a protected grassland and an unprotected grassland. This calculation followed Equation A1, in which the annual grassland loss avoided due to protection (%/yr) is multiplied by the 30-yr cumulative sum of emissions per hectare of grassland converted to cropland (CO₂‑eq /ha over 30 yr). 

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Equation A1.

\[ Effectiveness = Grassland\text{ }loss_{avoided} \times \sum_{t=1}^{30}{Emissions} \]

The avoided grassland loss attributable to PAs was calculated from the source data for Figure 7 of Li et al. (2024), which provides the difference in habitat loss between protected areas and unprotected control areas between 2003 and 2019 by ecoregion. These data were filtered to only include grasslands, aggregated to latitude bands, and used to calculate annual linear rates of avoided habitat loss. Tropical and subtropical regions were not clearly distinguished, so the same rate was used for both.

Grassland Conversion Emissions

The emissions associated with grassland conversion to cropland include loss of above- and below-ground biomass carbon stocks, loss of soil carbon stocks, and loss of carbon sequestration potential. We used data on above- and below-ground biomass carbon stocks from Spawn et al. (2020) to calculate the average carbon stocks by latitude band for grassland pixels and cropland pixels. We used the 2010 European Space Agency Climate Change Initiative (ESA CCI, 2019) land cover dataset for this calculation because it was the base map used to generate the biomass carbon stock dataset. The per-hectare difference between biomass carbon stocks in grasslands and croplands represents the emissions from biomass carbon stocks following grassland conversion.

We aggregated soil carbon stocks from SoilGrids 2.0 (0–30 cm depth) to latitude bands for grassland pixels from the 2015 ESA CCI land cover dataset, which was the base map used for the SoilGrids dataset (Poggio et al., 2021). To avoid capturing peatlands, which have higher carbon stocks, we excluded pixels with soil carbon contents >15% by mass (a slightly conservative cutoff for organic soils) prior to aggregation. We took the percent loss of soil carbon following grassland-to-cropland conversion from Table S8 of the meta-analysis by Huang et al. (2024), who also conducted their analysis by latitude band. Soil carbon losses are also associated with nitrous oxide emissions, which were calculated per the IPCC Tier 1 equations as follows using the default carbon-to-nitrogen ratio of 15:1. 

We calculated the loss of carbon sequestration potential based on estimates of grassland annual net CO₂ flux, extracted from Table S2 from Chang et al. (2021). These data include field- and model-based measurements of grassland net CO₂ flux and were used to calculate median values by latitude band.

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Updated Date

Protect Forests

Submitted by Drawdown Admin on
Sector
FALO & Nature-Based Carbon Removal
Mode
Cut Emissions Remove Carbon
Cluster
Protect & Manage Ecosystems
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Summary

We define the Protect Forests solution as the long-term protection of tree-dominated ecosystems through establishment of protected areas (PAs), managed with the primary goal of conserving nature, and land tenure for Indigenous peoples. These protections reduce forest degradation, avoiding GHG emissions and ensuring continued carbon sequestration by healthy forests. This solution addresses protection of forests on mineral soils. The Protect Peatlands and Protect Coastal Wetlands solutions address protection of forested peatlands and mangrove forests, respectively, and the Restore Forests solution addresses restoring degraded forests.

Extreme weather events
Income & work,Food security,Health,Equality
Nature protection,Water quality
Description for Social and Search
Protect Forests is a Highly Recommended climate solution. Healthy forests take up and store carbon. Protecting Forests ensures that intact forests stay standing, avoiding GHG emissions and maintaining their ability to absorb carbon.
Overview

Forests store carbon in biomass and soils and serve as carbon sinks, taking up an estimated 12.8 Gt CO₂‑eq/yr  (including mangroves and forested peatlands; Pan et al., 2024). Carbon stored in forests is released into the atmosphere through deforestation and degradation, which refer to forest clearing or reductions in ecosystem integrity from human influence (DellaSala et al., 2025). Humans cleared an average of 0.4% (16.3 Mha) of global forest area annually from 2001–2019 (excluding wildfire but including mangroves and forested peatlands; Hansen et al., 2013). This produced a gross flux of 7.4 Gt CO₂‑eq/yr (Harris et al., 2021), equivalent to ~14% of total global GHG emissions over that period (Dhakal et al., 2022). Different forest types store varying amounts of carbon and experience different rates of clearing; in this analysis, we individually evaluate forest protection in boreal, temperate, subtropical, and tropical regions. We included woodlands in our definition of forests because they are not differentiated in the satellite-based data used in this analysis.

We consider forests to be protected if they 1) are formally designated as PAs (UNEP-WCMC and IUCN, 2024), or 2) are mapped as Indigenous peoples’ lands in the global study by Garnett et al. (2018). The International Union for Conservation of Nature defines PAs as areas managed primarily for the long-term conservation of nature and ecosystem services. They are disaggregated into six levels of protection, ranging from strict wilderness preserves to sustainable-use areas that allow for some natural resource extraction, including logging. We included all levels of protection in this analysis, primarily because not all PAs have been classified into these categories. We rely on existing maps of Indigenous peoples’ lands but emphasize that much of their extent has not been fully mapped nor recognized for its conservation benefits (Garnett et al., 2018). Innovative and equity-driven strategies for forest protection that recognize the land rights, sovereignty, and stewardship of Indigenous peoples and local communities are critical for achieving just and effective forest protection globally (Dawson et al., 2024; Fa et al., 2020; FAO, 2024; Garnett et al., 2018; Tran et al., 2020; Zafra-Calvo et al., 2017).

Indigenous peoples’ lands and PAs reduce, but do not eliminate, forest clearing relative to unprotected areas (Baragwanath et al., 2020; Blackman & Viet 2018; Li et al., 2024; McNicol et al., 2023; Sze et al. 2022; Wolf et al., 2023; Wade et al., 2020). We rely on estimates of how effective PA are currently for this analysis but highlight that improving management to further reduce land use change within PAs is a critical component of forest protection (Jones et al., 2018; Meng et al., 2023; Vijay et al., 2018; Visconti et al., 2019; Watson et al., 2014).

Market-based strategies and other policies can complement legal protections by increasing the value of intact forests and reducing incentives for clearing (e.g., Garett et al., 2019; Golub et al., 2021; Heilmayr et al., 2020; Lambin et al., 2018; Levy et al., 2023; Macdonald et al., 2024; Marin et al., 2022; Villoria et al., 2022; West et al., 2023). The estimates in this report are based on legal protection alone because the effectiveness of market-based strategies is difficult to quantify, but strategies such as sustainable commodities programs, reducing or redirecting agricultural subsidies, and strategic infrastructure planning will be further discussed in a future update. 

Adams, V. M., Iacona, G. D., & Possingham, H. P. (2019). Weighing the benefits of expanding protected areas versus managing existing ones. Nature Sustainability, 2(5), 404–411. Link to source: https://doi.org/10.1038/s41893-019-0275-5

Anderegg, W. R. L., Trugman, A. T., Badgley, G., Anderson, C. M., Bartuska, A., Ciais, P., Cullenward, D., Field, C. B., Freeman, J., Goetz, S. J., Hicke, J. A., Huntzinger, D., Jackson, R. B., Nickerson, J., Pacala, S., & Randerson, J. T. (2020). Climate-driven risks to the climate mitigation potential of forests. Science, 368(6497), eaaz7005. Link to source: https://doi.org/10.1126/science.aaz7005

Arneth, A., Leadley, P., Claudet, J., Coll, M., Rondinini, C., Rounsevell, M. D. A., Shin, Y.-J., Alexander, P., & Fuchs, R. (2023). Making protected areas effective for biodiversity, climate and food. Global Change Biology, 29(14), 3883–3894. Link to source: https://doi.org/10.1111/gcb.16664

Baragwanath, K., & Bayi, E. (2020). Collective property rights reduce deforestation in the Brazilian Amazon. Proceedings of the National Academy of Sciences, 117(34), 20495–20502. Link to source: https://doi.org/10.1073/pnas.1917874117

Barnes, M. D., Glew, L., Wyborn, C., & Craigie, I. D. (2018). Prevent perverse outcomes from global protected area policy. Nature Ecology & Evolution, 2(5), 759–762. Link to source: https://doi.org/10.1038/s41559-018-0501-y

Bliege Bird, R., & Nimmo, D. (2018). Restore the lost ecological functions of people. Nature Ecology & Evolution, 2(7), 1050–1052. Link to source: https://doi.org/10.1038/s41559-018-0576-5

Blackman, A., & Veit, P. (2018). Titled Amazon Indigenous Communities Cut Forest Carbon Emissions. Ecological Economics, 153, 56–67. Link to source: https://doi.org/10.1016/j.ecolecon.2018.06.016

Brennan, A., Naidoo, R., Greenstreet, L., Mehrabi, Z., Ramankutty, N., & Kremen, C. (2022). Functional connectivity of the world’s protected areas. Science, 376(6597), 1101–1104. Link to source: https://doi.org/10.1126/science.abl8974

Brinck, K., Fischer, R., Groeneveld, J., Lehmann, S., Dantas De Paula, M., Pütz, S., Sexton, J. O., Song, D., & Huth, A. (2017). High resolution analysis of tropical forest fragmentation and its impact on the global carbon cycle. Nature Communications, 8(1), 14855. Link to source: https://doi.org/10.1038/ncomms14855

Bruner, A. G., Gullison, R. E., & Balmford, A. (2004). Financial Costs and Shortfalls of Managing and Expanding Protected-Area Systems in Developing Countries. BioScience, 54(12), 1119–1126. Link to source: https://doi.org/10.1641/0006-3568(2004)054[1119:FCASOM]2.0.CO;2

Buotte, P. C., Law, B. E., Ripple, W. J., & Berner, L. T. (2020). Carbon sequestration and biodiversity co-benefits of preserving forests in the western United States. Ecological Applications, 30(2), e02039. Link to source: https://doi.org/10.1002/eap.2039

Curtis, P. G., Slay, C. M., Harris, N. L., Tyukavina, A., & Hansen, M. C. (2018). Classifying drivers of global forest loss. Science, 361(6407), 1108–1111. Link to source: https://doi.org/10.1126/science.aau3445

Dawson, N. M., Coolsaet, B., Bhardwaj, A., Booker, F., Brown, D., Lliso, B., Loos, J., Martin, A., Oliva, M., Pascual, U., Sherpa, P., & Worsdell, T. (2024). Is it just conservation? A typology of Indigenous peoples’ and local communities’ roles in conserving biodiversity. One Earth, 7(6), 1007–1021. Link to source: https://doi.org/10.1016/j.oneear.2024.05.001

de Souza, S. E. X. F., Vidal, E., Chagas, G. de F., Elgar, A. T., & Brancalion, P. H. S. (2016). Ecological outcomes and livelihood benefits of community-managed agroforests and second growth forests in Southeast Brazil. Biotropica, 48(6), 868–881. Link to source: https://doi.org/10.1111/btp.12388

Delacote, P., Le Velly, G., & Simonet, G. (2022). Revisiting the location bias and additionality of REDD+ projects: The role of project proponents status and certification. Resource and Energy Economics, 67, 101277. Link to source: https://doi.org/10.1016/j.reseneeco.2021.101277

Delacote, P., Velly, G. L., & Simonet, G. (2024). Distinguishing potential and effective additionality of forest conservation interventions. Environment and Development Economics, 1–21. Link to source: https://doi.org/10.1017/S1355770X24000202

DellaSala, D. A., Mackey, B., Kormos, C. F., Young, V., Boan, J. J., Skene, J. L., Lindenmayer, D. B., Kun, Z., Selva, N., Malcolm, J. R., & Laurance, W. F. (2025). Measuring forest degradation via ecological-integrity indicators at multiple spatial scales. Biological Conservation, 302, 110939. Link to source: https://doi.org/10.1016/j.biocon.2024.110939

Dhakal, S., J.C. Minx, F.L. Toth, A. Abdel-Aziz, M.J. Figueroa Meza, K. Hubacek, I.G.C. Jonckheere, Yong-Gun Kim, G.F. Nemet, S. Pachauri, X.C. Tan, T. Wiedmann, 2022: Emissions Trends and Drivers. In IPCC, 2022: Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [P.R. Shukla, J. Skea, R. Slade, A. Al Khourdajie, R. van Diemen, D. McCollum, M. Pathak, S. Some, P. Vyas, R. Fradera, M. Belkacemi, A. Hasija, G. Lisboa, S. Luz, J. Malley, (eds.)]. Cambridge University Press, Cambridge, UK and New York, NY, USA. Link to source: https://doi.org/10.1017/9781009157926.004

Dinerstein, E., Joshi, A. R., Hahn, N. R., Lee, A. T. L., Vynne, C., Burkart, K., Asner, G. P., Beckham, C., Ceballos, G., Cuthbert, R., Dirzo, R., Fankem, O., Hertel, S., Li, B. V., Mellin, H., Pharand-Deschênes, F., Olson, D., Pandav, B., Peres, C. A., … Zolli, A. (2024). Conservation Imperatives: Securing the last unprotected terrestrial sites harboring irreplaceable biodiversity. Frontiers in Science, 2. Link to source: https://doi.org/10.3389/fsci.2024.1349350

Dye, A. W., Houtman, R. M., Gao, P., Anderegg, W. R. L., Fettig, C. J., Hicke, J. A., Kim, J. B., Still, C. J., Young, K., & Riley, K. L. (2024). Carbon, climate, and natural disturbance: A review of mechanisms, challenges, and tools for understanding forest carbon stability in an uncertain future. Carbon Balance and Management, 19(1), 35. Link to source: https://doi.org/10.1186/s13021-024-00282-0

Ellison, D., N. Futter, M., & Bishop, K. (2012). On the forest cover–water yield debate: From demand- to supply-side thinking. Global Change Biology, 18(3), 806–820. Link to source: https://doi.org/10.1111/j.1365-2486.2011.02589.x

ESA CCI (2019). Copernicus Climate Change Service, Climate Data Store: Land cover classification gridded maps from 1992 to present derived from satellite observation. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). Accessed November 2024. doi: 10.24381/cds.006f2c9a

Fa, J. E., Watson, J. E., Leiper, I., Potapov, P., Evans, T. D., Burgess, N. D., Molnár, Z., Fernández-Llamazares, Á., Duncan, T., Wang, S., Austin, B. J., Jonas, H., Robinson, C. J., Malmer, P., Zander, K. K., Jackson, M. V., Ellis, E., Brondizio, E. S., & Garnett, S. T. (2020). Importance of Indigenous Peoples’ lands for the conservation of Intact Forest Landscapes. Frontiers in Ecology and the Environment, 18(3), 135–140. Link to source: https://doi.org/10.1002/fee.2148

FAO. 2024. The State of the World’s Forests 2024 – Forest-sector innovations towards a more sustainable future. Rome. https://doi.org/10.4060/cd1211en

Filoso, S., Bezerra, M. O., Weiss, K. C. B., & Palmer, M. A. (2017). Impacts of forest restoration on water yield: A systematic review. PLOS ONE, 12(8), e0183210. Link to source: https://doi.org/10.1371/journal.pone.0183210

Fletcher, M.-S., Hamilton, R., Dressler, W., & Palmer, L. (2021). Indigenous knowledge and the shackles of wilderness. Proceedings of the National Academy of Sciences, 118(40), e2022218118. Link to source: https://doi.org/10.1073/pnas.2022218118

Fuller, C., Ondei, S., Brook, B. W., & Buettel, J. C. (2020). Protected-area planning in the Brazilian Amazon should prioritize additionality and permanence, not leakage mitigation. Biological Conservation, 248, 108673. Link to source: https://doi.org/10.1016/j.biocon.2020.108673

Gallemore, C., Bowsher, A., Atheeque, A., Groff, E., & Furtado, J. (n.d.). The geography of avoided deforestation and sustainable forest management offsets: The enduring question of additionality. Climate Policy, 0(0), 1–17. Link to source: https://doi.org/10.1080/14693062.2024.2383418

Gallemore, C., Bowsher, A., Atheeque, A., Groff, E., & Furtado, J. (2023). The geography of avoided deforestation and sustainable forest management offsets: The enduring question of additionality. Climate Policy, 0(0), 1–17. Link to source: https://doi.org/10.1080/14693062.2024.2383418

Garnett, S. T., Burgess, N. D., Fa, J. E., Fernández-Llamazares, Á., Molnár, Z., Robinson, C. J., Watson, J. E. M., Zander, K. K., Austin, B., Brondizio, E. S., Collier, N. F., Duncan, T., Ellis, E., Geyle, H., Jackson, M. V., Jonas, H., Malmer, P., McGowan, B., Sivongxay, A., & Leiper, I. (2018). A spatial overview of the global importance of Indigenous lands for conservation. Nature Sustainability, 1(7), 369–374. Link to source: https://doi.org/10.1038/s41893-018-0100-6

Garrett, R. D., Levy, S., Carlson, K. M., Gardner, T. A., Godar, J., Clapp, J., Dauvergne, P., Heilmayr, R., le Polain de Waroux, Y., Ayre, B., Barr, R., Døvre, B., Gibbs, H. K., Hall, S., Lake, S., Milder, J. C., Rausch, L. L., Rivero, R., Rueda, X., … Villoria, N. (2019). Criteria for effective zero-deforestation commitments. Global Environmental Change, 54, 135–147. Link to source: https://doi.org/10.1016/j.gloenvcha.2018.11.003

Gibbs, H. K., Ruesch, A. S., Achard, F., Clayton, M. K., Holmgren, P., Ramankutty, N., & Foley, J. A. (2010). Tropical forests were the primary sources of new agricultural land in the 1980s and 1990s. Proceedings of the National Academy of Sciences, 107(38), 16732–16737. Link to source: https://doi.org/10.1073/pnas.0910275107

Golub, A., Herrera, D., Leslie, G., Pietracci, B., & Lubowski, R. (2021). A real options framework for reducing emissions from deforestation: Reconciling short-term incentives with long-term benefits from conservation and agricultural intensification. Ecosystem Services, 49, 101275. Link to source: https://doi.org/10.1016/j.ecoser.2021.101275

Graham, V., Geldmann, J., Adams, V. M., Negret, P. J., Sinovas, P., & Chang, H.-C. (2021). Southeast Asian protected areas are effective in conserving forest cover and forest carbon stocks compared to unprotected areas. Scientific Reports, 11(1), 23760. Link to source: https://doi.org/10.1038/s41598-021-03188-w

Grantham, H. S., Duncan, A., Evans, T. D., Jones, K. R., Beyer, H. L., Schuster, R., Walston, J., Ray, J. C., Robinson, J. G., Callow, M., Clements, T., Costa, H. M., DeGemmis, A., Elsen, P. R., Ervin, J., Franco, P., Goldman, E., Goetz, S., Hansen, A., … Watson, J. E. M. (2020). Anthropogenic modification of forests means only 40% of remaining forests have high ecosystem integrity. Nature Communications, 11(1), 5978. Link to source: https://doi.org/10.1038/s41467-020-19493-3

Gray, C. L., Hill, S. L. L., Newbold, T., Hudson, L. N., Börger, L., Contu, S., Hoskins, A. J., Ferrier, S., Purvis, A., & Scharlemann, J. P. W. (2016). Local biodiversity is higher inside than outside terrestrial protected areas worldwide. Nature Communications, 7(1), 12306. Link to source: https://doi.org/10.1038/ncomms12306

Griscom, B. W., Adams, J., Ellis, P. W., Houghton, R. A., Lomax, G., Miteva, D. A., Schlesinger, W. H., Shoch, D., Siikamäki, J. V., Smith, P., Woodbury, P., Zganjar, C., Blackman, A., Campari, J., Conant, R. T., Delgado, C., Elias, P., Gopalakrishna, T., Hamsik, M. R., … Fargione, J. (2017). Natural climate solutions. Proceedings of the National Academy of Sciences, 114(44), 11645–11650. Link to source: https://doi.org/10.1073/pnas.1710465114

Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., & Townshend, J. R. G. (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change. Science, 342(6160), 850–853. Link to source: https://doi.org/10.1126/science.1244693. Data available on-line from: http://earthenginepartners.appspot.com/science-2013-global-forest. Accessed through Global Forest Watch on 01/12/2024. www.globalforestwatch.org

Harris, N. L., Gibbs, D. A., Baccini, A., Birdsey, R. A., de Bruin, S., Farina, M., Fatoyinbo, L., Hansen, M. C., Herold, M., Houghton, R. A., Potapov, P. V., Suarez, D. R., Roman-Cuesta, R. M., Saatchi, S. S., Slay, C. M., Turubanova, S. A., & Tyukavina, A. (2021). Global maps of twenty-first century forest carbon fluxes. Nature Climate Change, 11(3), 234–240. Link to source: https://doi.org/10.1038/s41558-020-00976-6

Heilmayr, R., Rausch, L. L., Munger, J., & Gibbs, H. K. (2020). Brazil’s Amazon Soy Moratorium reduced deforestation. Nature Food, 1(12), 801–810. Link to source: https://doi.org/10.1038/s43016-020-00194-5

Herrera, D., Ellis, A., Fisher, B., Golden, C. D., Johnson, K., Mulligan, M., Pfaff, A., Treuer, T., & Ricketts, T. H. (2017). Upstream watershed condition predicts rural children’s health across 35 developing countries. Nature Communications, 8(1), 811. Link to source: https://doi.org/10.1038/s41467-017-00775-2

Herrera, D., Pfaff, A., & Robalino, J. (2019). Impacts of protected areas vary with the level of government: Comparing avoided deforestation across agencies in the Brazilian Amazon. Proceedings of the National Academy of Sciences, 116(30), 14916–14925. Link to source: https://doi.org/10.1073/pnas.1802877116

Jones, K. R., Venter, O., Fuller, R. A., Allan, J. R., Maxwell, S. L., Negret, P. J., & Watson, J. E. M. (2018). One-third of global protected land is under intense human pressure. Science, 360(6390), 788–791. Link to source: https://doi.org/10.1126/science.aap9565

Kolden, C. A., Abatzoglou, J. T., Jones, M. W., & Jain, P. (2024). Wildfires in 2023. Nature Reviews Earth & Environment, 5(4), 238–240. Link to source: https://doi.org/10.1038/s43017-024-00544-y

Kreye, M. M., Adams, D. C., & Escobedo, F. J. (2014). The Value of Forest Conservation for Water Quality Protection. Forests, 5(5), Article 5. Link to source: https://doi.org/10.3390/f5050862

Lambin, E. F., Gibbs, H. K., Heilmayr, R., Carlson, K. M., Fleck, L. C., Garrett, R. D., le Polain de Waroux, Y., McDermott, C. L., McLaughlin, D., Newton, P., Nolte, C., Pacheco, P., Rausch, L. L., Streck, C., Thorlakson, T., & Walker, N. F. (2018). The role of supply-chain initiatives in reducing deforestation. Nature Climate Change, 8(2), 109–116. Link to source: https://doi.org/10.1038/s41558-017-0061-1

Lawrence, D., Coe, M., Walker, W., Verchot, L., & Vandecar, K. (2022). The unseen effects of deforestation: biophysical effects on climate. Frontiers in Forests and Global Change, 5. Link to source: https://doi.org/10.3389/ffgc.2022.756115

Levy, S. A., Cammelli, F., Munger, J., Gibbs, H. K., & Garrett, R. D. (2023). Deforestation in the Brazilian Amazon could be halved by scaling up the implementation of zero-deforestation cattle commitments. Global Environmental Change, 80, 102671. Link to source: https://doi.org/10.1016/j.gloenvcha.2023.102671

Li, G., Fang, C., Watson, J. E. M., Sun, S., Qi, W., Wang, Z., & Liu, J. (2024). Mixed effectiveness of global protected areas in resisting habitat loss. Nature Communications, 15(1), 8389. Link to source: https://doi.org/10.1038/s41467-024-52693-9

Lindenmayer, D. (2024). Key steps toward expanding protected areas to conserve global biodiversity. Frontiers in Science, 2. Link to source: https://doi.org/10.3389/fsci.2024.1426480

Lutz, J. A., Furniss, T. J., Johnson, D. J., Davies, S. J., Allen, D., Alonso, A., Anderson-Teixeira, K. J., Andrade, A., Baltzer, J., Becker, K. M. L., Blomdahl, E. M., Bourg, N. A., Bunyavejchewin, S., Burslem, D. F. R. P., Cansler, C. A., Cao, K., Cao, M., Cárdenas, D., Chang, L.-W., … Zimmerman, J. K. (2018). Global importance of large-diameter trees. Global Ecology and Biogeography, 27(7), 849–864. Link to source: https://doi.org/10.1111/geb.12747

Macdonald, K., Diprose, R., Grabs, J., Schleifer, P., Alger, J., Bahruddin, Brandao, J., Cashore, B., Chandra, A., Cisneros, P., Delgado, D., Garrett, R., & Hopkinson, W. (2024). Jurisdictional approaches to sustainable agro-commodity governance: The state of knowledge and future research directions. Earth System Governance, 22, 100227. Link to source: https://doi.org/10.1016/j.esg.2024.100227

McCallister, M., Krasovskiy, A., Platov, A., Pietracci, B., Golub, A., Lubowski, R., & Leslie, G. (2022). Forest protection and permanence of reduced emissions. Frontiers in Forests and Global Change, 5. Link to source: https://doi.org/10.3389/ffgc.2022.928518

Marin, F. R., Zanon, A. J., Monzon, J. P., Andrade, J. F., Silva, E. H. F. M., Richter, G. L., Antolin, L. A. S., Ribeiro, B. S. M. R., Ribas, G. G., Battisti, R., Heinemann, A. B., & Grassini, P. (2022). Protecting the Amazon forest and reducing global warming via agricultural intensification. Nature Sustainability, 5(12), 1018–1026. Link to source: https://doi.org/10.1038/s41893-022-00968-8

McNicol, I. M., Keane, A., Burgess, N. D., Bowers, S. J., Mitchard, E. T. A., & Ryan, C. M. (2023). Protected areas reduce deforestation and degradation and enhance woody growth across African woodlands. Communications Earth & Environment, 4(1), 1–14. Link to source: https://doi.org/10.1038/s43247-023-01053-4

Melo, F. P. L., Parry, L., Brancalion, P. H. S., Pinto, S. R. R., Freitas, J., Manhães, A. P., Meli, P., Ganade, G., & Chazdon, R. L. (2021). Adding forests to the water–energy–food nexus. Nature Sustainability, 4(2), 85–92. Link to source: https://doi.org/10.1038/s41893-020-00608-z

Meng, Z., Dong, J., Ellis, E. C., Metternicht, G., Qin, Y., Song, X.-P., Löfqvist, S., Garrett, R. D., Jia, X., & Xiao, X. (2023). Post-2020 biodiversity framework challenged by cropland expansion in protected areas. Nature Sustainability, 6(7), 758–768. Link to source: https://doi.org/10.1038/s41893-023-01093-w

Morales-Hidalgo, D., Oswalt, S. N., & Somanathan, E. (2015). Status and trends in global primary forest, protected areas, and areas designated for conservation of biodiversity from the Global Forest Resources Assessment 2015. Forest Ecology and Management, 352, 68–77. Link to source: https://doi.org/10.1016/j.foreco.2015.06.011

Mykleby, P. M., Snyder, P. K., & Twine, T. E. (2017). Quantifying the trade-off between carbon sequestration and albedo in midlatitude and high-latitude North American forests. Geophysical Research Letters, 44(5), 2493–2501. Link to source: https://doi.org/10.1002/2016GL071459

Nabuurs, G-J., R. Mrabet, A. Abu Hatab, M. Bustamante, H. Clark, P. Havlík, J. House, C. Mbow, K.N. Ninan, A. Popp, S. Roe, B. Sohngen, S. Towprayoon, 2022: Agriculture, Forestry and Other Land Uses (AFOLU). In IPCC, 2022: Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [P.R. Shukla, J. Skea, R. Slade, A. Al Khourdajie, R. van Diemen, D. McCollum, M. Pathak, S. Some, P. Vyas, R. Fradera, M. Belkacemi, A. Hasija, G. Lisboa, S. Luz, J. Malley, (eds.)]. Cambridge University Press, Cambridge, UK and New York, NY, USA. Link to source: https://doi.org/10.1017/9781009157926.009

Naidoo, R., Gerkey, D., Hole, D., Pfaff, A., Ellis, A. M., Golden, C. D., Herrera, D., Johnson, K., Mulligan, M., Ricketts, T. H., & Fisher, B. (2019). Evaluating the impacts of protected areas on human well-being across the developing world. Science Advances, 5(4), eaav3006. Link to source: https://doi.org/10.1126/sciadv.aav3006

Oldekop, J. A., Rasmussen, L. V., Agrawal, A., Bebbington, A. J., Meyfroidt, P., Bengston, D. N., Blackman, A., Brooks, S., Davidson-Hunt, I., Davies, P., Dinsi, S. C., Fontana, L. B., Gumucio, T., Kumar, C., Kumar, K., Moran, D., Mwampamba, T. H., Nasi, R., Nilsson, M., … Wilson, S. J. (2020). Forest-linked livelihoods in a globalized world. Nature Plants, 6(12), 1400–1407. Link to source: https://doi.org/10.1038/s41477-020-00814-9

Pan, Y., Birdsey, R. A., Phillips, O. L., Houghton, R. A., Fang, J., Kauppi, P. E., Keith, H., Kurz, W. A., Ito, A., Lewis, S. L., Nabuurs, G.-J., Shvidenko, A., Hashimoto, S., Lerink, B., Schepaschenko, D., Castanho, A., & Murdiyarso, D. (2024). The enduring world forest carbon sink. Nature, 631(8021), 563–569. Link to source: https://doi.org/10.1038/s41586-024-07602-x

Phillips, C. A., Rogers, B. M., Elder, M., Cooperdock, S., Moubarak, M., Randerson, J. T., & Frumhoff, P. C. (2022). Escalating carbon emissions from North American boreal forest wildfires and the climate mitigation potential of fire management. Science Advances, 8(17), eabl7161. Link to source: https://doi.org/10.1126/sciadv.abl7161

Reddington, C. L., Butt, E. W., Ridley, D. A., Artaxo, P., Morgan, W. T., Coe, H., & Spracklen, D. V. (2015). Air quality and human health improvements from reductions in deforestation-related fire in Brazil. Nature Geoscience, 8(10), 768–771. Link to source: https://doi.org/10.1038/ngeo2535

Richter, J., Goldman, E., Harris, N., Gibbs, D., Rose, M., Peyer, S., Richardson, S., & Velappan, H. (2024). Spatial Database of Planted Trees (SDPT Version 2.0) [Dataset]. Link to source: https://doi.org/10.46830/writn.23.00073

Rogers, B. M., Mackey, B., Shestakova, T. A., Keith, H., Young, V., Kormos, C. F., DellaSala, D. A., Dean, J., Birdsey, R., Bush, G., Houghton, R. A., & Moomaw, W. R. (2022). Using ecosystem integrity to maximize climate mitigation and minimize risk in international forest policy. Frontiers in Forests and Global Change, 5. Link to source: https://doi.org/10.3389/ffgc.2022.929281

Ruseva, T., Marland, E., Szymanski, C., Hoyle, J., Marland, G., & Kowalczyk, T. (2017). Additionality and permanence standards in California’s Forest Offset Protocol: A review of project and program level implications. Journal of Environmental Management, 198, 277–288. Link to source: https://doi.org/10.1016/j.jenvman.2017.04.082

Sarira, T. V., Zeng, Y., Neugarten, R., Chaplin-Kramer, R., & Koh, L. P. (2022). Co-benefits of forest carbon projects in Southeast Asia. Nature Sustainability, 5(5), 393–396. Link to source: https://doi.org/10.1038/s41893-022-00849-0

Seymour, F., Wolosin, M., & Gray, E. (2022, October 23). Policies underestimate forests’ full effect on the climate. World Resources Institute. Link to source: https://www.wri.org/insights/how-forests-affect-climate

Smith, C., Baker, J. C. A., & Spracklen, D. V. (2023). Tropical deforestation causes large reductions in observed precipitation. Nature, 615(7951), 270–275. Link to source: https://doi.org/10.1038/s41586-022-05690-1

Soto-Navarro, C., Ravilious, C., Arnell, A., de Lamo, X., Harfoot, M., Hill, S. L. L., Wearn, O. R., Santoro, M., Bouvet, A., Mermoz, S., Le Toan, T., Xia, J., Liu, S., Yuan, W., Spawn, S. A., Gibbs, H. K., Ferrier, S., Harwood, T., Alkemade, R., … Kapos, V. (2020). Mapping co-benefits for carbon storage and biodiversity to inform conservation policy and action. Philosophical Transactions of the Royal Society B: Biological Sciences, 375(1794), 20190128. Link to source: https://doi.org/10.1098/rstb.2019.0128

Sunderlin, W. D., Angelsen, A., Belcher, B., Burgers, P., Nasi, R., Santoso, L., & Wunder, S. (2005). Livelihoods, forests, and conservation in developing countries: An Overview. World Development, 33(9), 1383–1402. Link to source: https://doi.org/10.1016/j.worlddev.2004.10.004

Sweeney, B. W., Bott, T. L., Jackson, J. K., Kaplan, L. A., Newbold, J. D., Standley, L. J., Hession, W. C., & Horwitz, R. J. (2004). Riparian deforestation, stream narrowing, and loss of stream ecosystem services. Proceedings of the National Academy of Sciences, 101(39), 14132–14137. Link to source: https://doi.org/10.1073/pnas.0405895101

Sze, J. S., Carrasco, L. R., Childs, D., & Edwards, D. P. (2022). Reduced deforestation and degradation in Indigenous Lands pan-tropically. Nature Sustainability, 5(2), 123–130. Link to source: https://doi.org/10.1038/s41893-021-00815-2

Tauli-Corpuz, V., Alcorn, J., Molnar, A., Healy, C., & Barrow, E. (2020). Cornered by PAs: Adopting rights-based approaches to enable cost-effective conservation and climate action. World Development, 130, 104923. Link to source: https://doi.org/10.1016/j.worlddev.2020.104923

Tran, T. C., Ban, N. C., & Bhattacharyya, J. (2020). A review of successes, challenges, and lessons from Indigenous protected and conserved areas. Biological Conservation, 241, 108271. Link to source: https://doi.org/10.1016/j.biocon.2019.108271

UNEP-WCMC and IUCN (2024), Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM) [Online], Accessed November 2024, Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net.

Vijay, V., Fisher, J. R. B., & Armsworth, P. R. (2022). Co-benefits for terrestrial biodiversity and ecosystem services available from contrasting land protection policies in the contiguous United States. Conservation Letters, 15(5), e12907. Link to source: https://doi.org/10.1111/conl.12907

Villoria, N., Garrett, R., Gollnow, F., & Carlson, K. (2022). Leakage does not fully offset soy supply-chain efforts to reduce deforestation in Brazil. Nature Communications, 13(1), 5476. Link to source: https://doi.org/10.1038/s41467-022-33213-z

Visconti, P., Butchart, S. H. M., Brooks, T. M., Langhammer, P. F., Marnewick, D., Vergara, S., Yanosky, A., & Watson, J. E. M. (2019). Protected area targets post-2020. Science, 364(6437), 239–241. Link to source: https://doi.org/10.1126/science.aav6886

Wade, C. M., Austin, K. G., Cajka, J., Lapidus, D., Everett, K. H., Galperin, D., Maynard, R., & Sobel, A. (2020). What Is Threatening Forests in Protected Areas? A Global Assessment of Deforestation in Protected Areas, 2001–2018. Forests, 11(5), Article 5. Link to source: https://doi.org/10.3390/f11050539

Waldron, A., Adams, V., Allan, J., Arnell, A., Asner, G., Atkinson, S., Baccini, A., Baillie, J., Balmford, A., & Austin Beau, J. (2020). Protecting 30% of the planet for nature: Costs, benefits and economic implications. Link to source: https://pure.iiasa.ac.at/id/eprint/16560/1/Waldron_Report_FINAL_sml.pdf

Walton, Z. L., Poudyal, N. C., Hepinstall-Cymerman, J., Johnson Gaither, C., & Boley, B. B. (2016). Exploring the role of forest resources in reducing community vulnerability to the heat effects of climate change. Forest Policy and Economics, 71, 94–102. Link to source: https://doi.org/10.1016/j.forpol.2015.09.001

Watson, J. E. M., Dudley, N., Segan, D. B., & Hockings, M. (2014). The performance and potential of protected areas. Nature, 515(7525), 67–73. Link to source: https://doi.org/10.1038/nature13947

West, T. A. P., Wunder, S., Sills, E. O., Börner, J., Rifai, S. W., Neidermeier, A. N., Frey, G. P., & Kontoleon, A. (2023). Action needed to make carbon offsets from forest conservation work for climate change mitigation. Science, 381(6660), 873–877. Link to source: https://doi.org/10.1126/science.ade3535

Wolf, C., Levi, T., Ripple, W. J., Zárrate-Charry, D. A., & Betts, M. G. (2021). A forest loss report card for the world’s protected areas. Nature Ecology & Evolution, 5(4), 520–529. Link to source: https://doi.org/10.1038/s41559-021-01389-0

Zafra-Calvo, N., Pascual, U., Brockington, D., Coolsaet, B., Cortes-Vazquez, J. A., Gross-Camp, N., Palomo, I., & Burgess, N. D. (2017). Towards an indicator system to assess equitable management in protected areas. Biological Conservation, 211, 134–141. Link to source: https://doi.org/10.1016/j.biocon.2017.05.014

Credits

Lead Fellow

  • Avery Driscoll

Contributors

  • Ruthie Burrows, Ph.D.

  • James Gerber, Ph.D.

  • Yusuf Jameel, Ph.D. 

  • Daniel Jasper

  • Alex Sweeney

Internal Reviewers

  • Hannah Henkin

  • Megan Matthews, Ph.D.

  • Ted Otte

  • Christina Swanson, Ph.D.

  • Paul C. West, Ph.D.

Effectiveness

We estimated that one ha of forest protection provides total carbon benefits of 0.299–2.204 t CO₂‑eq/yr depending on the biome (Table 1a–d; Appendix). This effectiveness estimate includes avoided emissions and preserved sequestration capacity attributable to the reduction in forest loss conferred by protection (Equation 1). First, we calculated the difference between the rate of human-caused forest loss outside of PAs (Forest lossbaseline) and the rate inside of PAs (Forest lossprotected). We then multiplied the annual rate of avoided forest loss by the sum of the carbon stored in one hectare of forest (Carbonstock) and the amount of carbon that one hectare of intact forest takes up over a 30-yr timeframe (Carbonsequestration).

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Equation 1.

\[ Effectiveness = (Forest\text{ }loss_{baseline} - Forest\text{ }loss_{protected})\times(Carbon_{stock} + Carbon_{sequestration}) \]

Each of these factors varies across biomes. Based on our definition, for instance, the effectiveness of forest protection in boreal forests is lower than that in tropical and subtropical forests primarily because the former face lower rates of human-caused forest loss (though greater wildfire impacts). Importantly, the effectiveness of forest protection as defined here reflects only a small percentage of the carbon stored (394 t CO₂‑eq ) and absorbed (4.25 t CO₂‑eq/yr ) per hectare of forest (Harris et al., 2021). This is because humans clear ~0.4% of forest area annually, and forest protection is estimated to reduce human-caused forest loss by an average of 40.5% (Curtis et al., 2018; Wolf et al., 2023). 

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Table 1. Effectiveness at reducing emissions and sequestering carbon, with carbon sequestration calculated over a 30-yr timeframe. Differences in values between biomes are driven by variation in forest carbon stocks and sequestration rates, baseline rates of forest loss, and effectiveness of PAs at reducing forest loss. See the Appendix for source data and calculation details. Emissions and sequestration values may not sum to total effectiveness due to rounding.

Unit: t CO₂‑eq/ha/yr, 100-yr basis

Avoided emissions 0.207
Sequestration 0.091
Total effectiveness 0.299

Unit: t CO₂‑eq/ha/yr, 100-yr basis

Avoided emissions 0.832
Sequestration 0.572
Total effectiveness 1.403

Unit: t CO₂‑eq/ha/yr, 100-yr basis

Avoided emissions 1.860
Sequestration 0.344
Total effectiveness 2.204

Unit: t CO₂‑eq/ha/yr, 100-yr basis

Avoided emissions 1.190
Sequestration 0.300
Total effectiveness 1.489
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Cost

We estimated that forest protection costs approximately US$2/t CO₂‑eq (Table 2). Data related to the costs of forest protection are limited, and these estimates are uncertain. The costs of forest protection include up-front costs of land acquisition and ongoing costs of management and enforcement. The market price of land reflects the opportunity cost of not using the land for other purposes (e.g., agriculture or logging). Protecting forests also generates revenue, notably through increased tourism. Costs and revenues vary across regions, depending on the costs of land and enforcement and potential for tourism. 

The cost of land acquisition for ecosystem protection was estimated by Dienerstein et al. (2024), who found a median cost of US$988/ha (range: US$59–6,616/ha), which we amortized over 30 years. Costs of PA maintenance were estimated at US$9–17/ha/yr (Bruner et al., 2004; Waldron et al., 2020). These estimates reflect the costs of effective enforcement and management, but many existing PAs do not have adequate funds for effective enforcement (Adams et al., 2019; Barnes et al., 2018; Burner et al., 2004). Tourism revenues directly attributable to forest protection were estimated to be US$43/ha/yr (Waldron et al., 2020), not including downstream revenues from industries that benefit from increased tourism. Inclusion of a tourism multiplier would substantially increase the estimated economic benefits of forest protection.

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Table 2. Cost per unit of climate impact.

Unit: 2023 US$/t CO₂‑eq, 100-yr basis

Median 2
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Learning Curve

A learning curve is defined here as falling costs with increased adoption. The costs of forest protection do not fall with increasing adoption, so there is no learning curve for this solution.

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Speed of Action

Speed of action refers to how quickly a climate solution physically affects the atmosphere after it is deployed. This is different from speed of deployment, which is the pace at which solutions are adopted.

At Project Drawdown, we define the speed of action for each climate solution as emergency brake, gradual, or delayed.

Protect Forests is an EMERGENCY BRAKE climate solution. It has the potential to deliver a more rapid impact than gradual and delayed solutions. Because emergency brake solutions can deliver their climate benefits quickly, they can help accelerate our efforts to address dangerous levels of climate change. For this reason, they are a high priority.

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Caveats

Additionality, or the degree to which emissions reductions are above and beyond a baseline, is a key caveat for emissions avoided through forest protection (e.g., Fuller et al., 2020; Ruseva et al., 2017). Emissions avoided via forest protection are only considered additional if that forest would have been cleared or degraded without protection (Delacote et al., 2022; Delacote et al., 2024; Gallemore et al., 2020). In this analysis, additionality is addressed by using baseline rates of forest loss outside of PAs in the effectiveness calculation. Additionality is particularly important when forest protection is used to generate carbon offsets. However, the likelihood of forest removal in the absence of protection is often difficult to determine at the local level.

Permanence, or the durability of stored carbon over long timescales, is another important consideration not directly addressed in this solution. Carbon stored in forests can be compromised by natural factors, like drought, heat, flooding, wildfire, pests, and diseases, which are further exacerbated by climate change (Anderegg et al., 2020; Dye et al., 2024). Forest losses via wildfire in particular can create very large pulses of emissions (e.g., Kolden et al. 2024; Phillips et al. 2022) that negate accumulated carbon benefits of forest protection. Reversal of legal protections, illegal forest clearing, biodiversity loss, edge effects from roads, and disturbance from permitted uses can also cause forest losses directly or reduce ecosystem integrity, further increasing vulnerability to other stressors (McCallister et al., 2022).

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Current Adoption

We estimated that approximately 1,673 Mha of forests are currently recognized as PAs or Indigenous peoples’ lands (Table 3e; Garnett et al., 2018; UNEP-WCMC and IUCN, 2024). Using two different maps of global forests that differ in their methodologies and definitions (ESA CCI, 2019; Hansen et al., 2013), we found an upper-end estimate of 1,943 Mha protected and a lower-end estimate of 1,404 Mha protected. These two maps classify forests using different thresholds for canopy cover and vegetation height, different satellite data, and different classification algorithms (see the Appendix for details). 

Based on our calculations, tropical forests make up the majority of forested PAs, with approximately 936 Mha under protection (Table 3d), followed by boreal forests (467 Mha, Table 3a), temperate forests (159 Mha, Table 3b), and subtropical forests (112 Mha, Table 3c). We estimate that 49% of all forests have some legal protection, though only 7% of forests are under strict protection (IUCN class I or II), with the remaining area protected under other IUCN levels, as OECMs, or as Indigenous peoples’ lands.

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Table 3. Current (circa 2023) forest and woodland area under legal protection by biome (Mha). The low and high values are calculated using two different maps of global forest cover that differ in methodology for defining a forest (ESA CCI, 2019; Hansen et al., 2013). Biome-level values may not sum to global totals due to rounding.

Unit: Mha

Low 313
Mean 467
High 621

Unit: Mha

Low 135
Mean 159
High 183

Unit: Mha

Low 85
Mean 112
High 138

Unit: Mha

Low 872
Mean 936
High 1,000

Unit: Mha

Low 1,404
Mean 1,673
High 1,943
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Adoption Trend

We calculated the rate of PA expansion based on the year the PA was established. We do not have data on the expansion rate of Indigenous peoples’ lands, so the calculated adoption trend reflects only PAs. An average of 19 Mha of additional forests were protected each year between 2000 and 2020 (Table 4a–e; Figure 1), representing a roughly 2% increase in PAs per year (excluding Indigenous peoples’ lands that are not located in PAs). There were large year-to-year differences in how much new forest area was protected over this period, ranging from only 6.4 Mha in 2020 to over 38 Mha in both 2000 and 2006. Generally, the rate at which forest protection is increasing has been decreasing, with an average increase of 27 Mha/yr between 2000–2010 declining to 11 Mha/yr between 2010–2020. Recent rates of forest protection (2010–2020) are highest in the tropics (5.6 Mha/yr), followed by temperate regions (2.4 Mha/yr) and the boreal (2.0 Mha/yr), and lowest in the subtropics (0.7 Mha/yr).

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Figure 1. Trend in forest protection by climate zone. These values reflect only the area located within PAs; Indigenous peoples’ lands, which were not included in the calculation of the adoption trend, are excluded.

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Table 4. 2000–2020 adoption trend.

Unit: Mha protected/yr

25th percentile 1.3
Mean 2.8
Median (50th percentile) 2.0
75th percentile 3.4

Unit: Mha protected/yr

25th percentile 1.9
Mean 2.8
Median (50th percentile) 2.5
75th percentile 3.1

Unit: Mha protected/yr

25th percentile 0.5
Mean 1.0
Median (50th percentile) 0.7
75th percentile 1.1

Unit: Mha protected/yr

25th percentile 5.4
Mean 12.5
Median (50th percentile) 7.7
75th percentile 17.8

Unit: Mha protected/yr

25th percentile 9.1
Mean 19.0
Median (50th percentile) 12.9
75th percentile 25.4
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Adoption Ceiling

We estimated an adoption ceiling of 3,370 Mha of forests globally (Table 5e), defined as all existing forest areas, excluding peatlands and mangroves. Of the calculated adoption ceiling, 469 Mha of boreal forests (Table 5a), 282 Mha of temperate forests (Table 5b), 211 Mha of subtropical forests (Table 5c), and 734 Mha of tropical forests (Table 5d) are currently unprotected. The high and low values represent estimates of currently forested areas from two different maps of forest cover that use different methodologies and definitions (ESA CCI, 2019; Hansen et al., 2013). While it is not socially, politically, or economically realistic that all existing forests could be protected, these values represent the technical upper limit to adoption of this solution. Additionally, some PAs allow for ongoing sustainable use of resources, enabling some demand for wood products to be met via sustainable use of trees in PAs.

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Table 5. Adoption ceiling.

Unit: Mha protected

Low 686
Mean 936
High 1,186

Unit: Mha protected

Low 385
Mean 441
High 498

Unit: Mha protected

Low 260
Mean 323
High 385

Unit: Mha protected

Low 1,557
Mean 1,669
High 1,782

Unit: Mha protected

Low 2,889
Mean 3,370
High 3,851
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Achievable Adoption

We defined the lower end of the achievable range for forest protection as all high integrity forests in addition to forests in existing PAs and Indigenous peoples’ lands, totaling 2,297 Mha (Table 6a–e). We estimated that there are 624 Mha of unprotected high integrity forests, based on maps of forest integrity developed by Grantham et al. (2020). High integrity forests have experienced little disturbance from human pressures (i.e., logging, agriculture, and buildings), are located further away from areas of human disturbance, and are well-connected to other forests. High integrity forests are a top priority for protection as they have particularly high value with respect to biodiversity and ecosystem service provisioning. These forests are also not currently being used to meet human demand for land or forest-derived products, and thus their protection may be more feasible. 

To estimate the upper end of the achievable range, we excluded the global areas of planted trees and tree crops from the adoption ceiling (Richter et al., 2024), comprising approximately 335 Mha globally (Table 6a–e). Planted trees include tree stands established for crops such as oil palm, products such as timber and fiber production, and those established as windbreaks or for ecosystem services such as erosion control. These stands are often actively managed and are unlikely to be protected.

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Table 6. Range of achievable adoption levels. 

Unit: Mha protected

Current adoption 467
Achievable – low 847
Achievable – high 861
Adoption ceiling 936

Unit: Mha protected

Current adoption 159
Achievable – low 204
Achievable – high 378
Adoption ceiling 441

Unit: Mha protected

Current adoption 112
Achievable – low 126
Achievable – high 219
Adoption ceiling 323

Unit: Mha protected

Current adoption 936
Achievable – low 1,120
Achievable – high 1,577
Adoption ceiling 1,669

Unit: Mha protected

Current adoption 1,673
Achievable – low 2,297
Achievable – high 3,035
Adoption ceiling 3,370
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We estimated that forest protection currently avoids approximately 2.00 Gt CO₂‑eq/yr, with potential impacts of 2.49 Gt CO₂‑eq/yr at the low-achievable scenario, 3.62 Gt CO₂‑eq/yr  at the high-achievable scenario, and 4.10 Gt CO₂‑eq/yr at the adoption ceiling (Table 7a–e). Although not directly comparable due to the inclusion of different land covers, these values are aligned with Griscom et al. (2017) estimates that forest protection could avoid 3.6 Gt CO₂‑eq/yr and the IPCC estimate that protection of all ecosystems could avoid 6.2 Gt CO₂‑eq/yr (Nabuurs et al., 2022).

Note that the four adoption scenarios vary only with respect to the area under protection. Increases in either the rate of forest loss that would have occurred if the area had not been protected or in the effectiveness of PAs at avoiding forest loss would substantially increase the climate impacts of forest protection. For instance, a hypothetical 50% increase in the rate of forest loss outside of PAs would increase the carbon impacts of the current adoption, low achievable, high achievable, and adoption ceiling scenarios to 3.0, 3.7, 5.4, and 6.1 Gt CO₂‑eq/yr, respectively. Similarly, if legal forest protection reduced forest loss twice as much as it currently does, the climate impacts of the four scenarios would increase to 3.9, 4.8, 7.0, and 7.8 Gt CO₂‑eq/yr, respectively.

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Table 7. Climate impact at different levels of adoption.

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current adoption 0.14
Achievable – low 0.25
Achievable – high 0.26
Adoption ceiling 0.28

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current adoption 0.22
Achievable – low 0.29
Achievable – high 0.53
Adoption ceiling 0.62

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current adoption 0.25
Achievable – low 0.28
Achievable – high 0.48
Adoption ceiling 0.71

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current adoption 1.39
Achievable – low 1.67
Achievable – high 2.35
Adoption ceiling 2.49

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current adoption 2.00
Achievable – low 2.49
Achievable – high 3.62
Adoption ceiling 4.10
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Additional Benefits

Extreme Weather Events

Protected forests are more biodiverse and therefore more resilient and adaptable, providing higher-quality ecosystem services to surrounding communities (Gray et al., 2016). Protected forests can also buffer surrounding areas from the effects of extreme weather events. By increasing plant species richness, forest preservation can contribute to drought and fire tolerance (Buotte et al., 2020). Forests help regulate local climate by reducing temperature extremes (Lawrence et al., 2022). Studies have shown that the extent of forest coverage helps to alleviate vulnerability associated with heat effects (Walton et al., 2016). Tropical deforestation threatens human well-being by removing critical local cooling effects provided by tropical forests, exacerbating extreme heat conditions in already vulnerable regions (Seymour et al., 2022).

Income and Work

For a description of the Income and Work benefits, please refer to Food Security and Health sections below. 

Food Security

Protecting forests in predominantly natural areas can improve food security by supporting crop pollination of nearby agriculture. Sarira et al. (2022) found that protecting 58% of threatened forests in Southeast Asia could support the dietary needs of about 305,000–342,000 people annually. Forests also provide a key source of income and livelihoods for subsistence households and individuals (de Souza et al., 2016; Herrera et al., 2017; Naidoo et al., 2019). By maintaining this source of income through forest protection, households can earn sufficient income that contributes to food security. 

Health

Protected forests can benefit the health and well-being of surrounding communities through impacts on the environment and local economies. Herrera et al. (2017) found that in rural areas of low- and middle-income countries, household members living downstream of higher tree cover had a lower probability of diarrheal disease. Proximity to PAs can benefit local tourism, which may provide more economic resources to surrounding households. Naidoo et al. (2019) found that households near PAs in low- and middle-income countries were more likely to have higher levels of wealth and were less likely to have children who were stunted. Reducing deforestation can improve health by lowering vector-borne diseases, mitigating extreme weather impacts, and improving air quality (Reddington et al., 2015). 

Equality

Indigenous peoples have a long history of caring for and shaping landscapes that are rich with biodiversity (Fletcher et al., 2021). Indigenous communities provide vital ecological functions for preserving biodiversity, like seed dispersal and predation (Bliege Bird & Nimmo, 2018). Indigenous peoples also have spiritual and cultural ties to their lands (Garnett et al., 2018). Establishing protected areas must prioritize the return of landscapes to Indigenous peoples so traditional owners can feel the benefits of biodiversity. However, the burden of conservation should not be placed on Indigenous communities without legal recognition or support (Fa et al., 2020). In fact, land grabs and encroachments on Indigenous lands have led to greater deforestation pressure (Sze et al., 2022). Efforts to protect these lands must include legal recognition of Indigenous ownership to support a just and sustainable conservation process (Fletcher et al., 2021).

Nature Protection

Forests are home to a wide range of species and habitats and are essential for safeguarding biodiversity. Forests have high above- and below-ground carbon density, high tree species richness, and often provide habitat to threatened and endangered species (Buotte et al., 2020). PAs can aid in avoiding extinctions by protecting rare and threatened species (Dinerstein et al. 2024). In Southeast Asia, protecting 58% of threatened forests could safeguard about half of the key biodiversity areas in the region (Sarira et al., 2022). 

Water Quality

Forests act as a natural water filter and can maintain and improve water quality (Melo et al., 2021). Forests can also retain nutrients from polluting the larger watershed (Sweeney et al., 2004). For example, forests can uptake excess nutrients like nitrogen, reducing their flow into surrounding water (Sarira et al., 2022). These excessive nutrients can cause eutrophication and algal blooms that negatively impact water quality and aquatic life. 

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Risks

Ecosystem protection initiatives that are not led by or undertaken in close collaboration with local communities can compromise community sovereignty and create injustice and inequity (Baragwanath et al., 2020; Blackman & Viet 2018; Dawson et al., 2024; Fa et al., 2020; FAO, 2024; Garnett et al. 2018; Sze et al. 2022; Tauli-Corpuz et al., 2020). Forest protection has the potential to be a win-win for climate and communities, but only if PAs are established with respect to livelihoods and other socio-ecological impacts, ensuring equity in procedures, recognition, and the distribution of benefits (Zafra-Calvo et al., 2017).

Leakage is a key risk of relying on forest protection as a climate solution. Leakage occurs when deforestation-related activities move outside of PA boundaries, resulting in the relocation of, rather than a reduction in, emissions from forest loss. If forest protection efforts are not coupled with policies to reduce incentives for forest clearing, leakage will likely offset some of the emissions avoided through forest protection. Additional research is needed to comprehensively quantify the magnitude of leakage effects, though two regional-scale studies found only small negative effects (Fuller et al., 2020; Herrera et al., 2019).

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Interactions with Other Solutions

Reinforcing

Other intact and degraded ecosystems often occur within areas of forest protection. Therefore, forest protection can facilitate natural restoration of these other degraded ecosystems, and increase the health of adjacent ecosystems.

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Forest protection helps restored ecosystems avoid future degradation and can also accelerate the adoption of improved forest management practices

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Competing

Protecting forests could limit land availability for renewable energy technologies and raw material and food production. Protect Forests competes with the following solutions for land

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This solution reduces the supply of wood. This limits the wood available as raw material to the following solutions that use it.

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Dashboard

Solution Basics

ha protected

t CO₂-eq (100-yr)/unit/yr
0.299
units
Current 4.67×10⁸ 08.47×10⁸8.61×10⁸
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.14 0.250.26
US$ per t CO₂-eq
2
Emergency Brake

CO₂

Solution Basics

ha protected

t CO₂-eq (100-yr)/unit/yr
1.403
units
Current 1.59×10⁸ 02.04×10⁸3.78×10⁸
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.22 0.290.53
US$ per t CO₂-eq
2
Emergency Brake

CO₂

Solution Basics

ha protected

t CO₂-eq (100-yr)/unit/yr
2.204
units
Current 1.12×10⁸ 01.26×10⁸2.19×10⁸
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.25 0.280.48
US$ per t CO₂-eq
2
Emergency Brake

CO₂

Solution Basics

ha protected

t CO₂-eq (100-yr)/unit/yr
1.489
units
Current 9.36×10⁸ 01.12×10⁹1.577×10⁹
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 1.39 1.672.35
US$ per t CO₂-eq
2
Emergency Brake

CO₂

% tree cover
0100

Tree cover, 2000 (excluding mangroves and peatlands)

We exclude mangroves and peatlands because they are addressed in other solutions.

Global Forest Watch (2023). Global peatlands [Data set]. Retrieved December 6, 2024 from Link to source: https://data.globalforestwatch.org/datasets/gfw::global-peatlands/about

Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L., Justice, C.O., and Townshend, J.R.G. (2013). High-resolution global maps of 21st-century forest cover change [Data set]. Science 342 (15 November): 850-53. Link to source: https://glad.earthengine.app/view/global-forest-change

UNEP-WCMC (2025). Ocean+ habitats (version 1.3) [Data set]. Retrieved November 2024 from habitats.oceanplus.org

% tree cover
0100

Tree cover, 2000 (excluding mangroves and peatlands)

We exclude mangroves and peatlands because they are addressed in other solutions.

Global Forest Watch (2023). Global peatlands [Data set]. Retrieved December 6, 2024 from Link to source: https://data.globalforestwatch.org/datasets/gfw::global-peatlands/about

Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L., Justice, C.O., and Townshend, J.R.G. (2013). High-resolution global maps of 21st-century forest cover change [Data set]. Science 342 (15 November): 850-53. Link to source: https://glad.earthengine.app/view/global-forest-change

UNEP-WCMC (2025). Ocean+ habitats (version 1.3) [Data set]. Retrieved November 2024 from habitats.oceanplus.org

Maps Introduction

The adoption, potential adoption, and effectiveness of forest protection are highly geographically variable. While forest protection can help avoid emissions anywhere that forests occur, areas with high rates of forest loss from human drivers and particularly carbon-rich forests have the greatest potential for avoiding emissions via forest protection. The tropics and subtropics are high-priority areas for forest protection as they contain 55% of currently unprotected forest area, forest loss due to agricultural expansion is particularly concentrated in these regions (Curtis et al., 2018; West et al., 2014; Gibbs et al., 2010), and tend to have larger biomass carbon stocks than boreal forests (Harris et al., 2021). 

Developed countries also have significant potential to protect remaining old and long unlogged forests and foster recovery in secondary natural forests. The top 10 forested countries include Canada, the USA, Russia and even Australia, with the latter moving towards ending commodity production in its natural forests and increasing formal protection. Restoration of degraded forests is addressed in the Forest Restoration solution, but including regenerating forests in well designed protected areas is well within the capacity of every developed country.

Buffering and reconnecting existing high integrity forests is a low risk climate solution that increases current and future forest ecosystem resilience and adaptive capacity (Brennan et al., 2022; Brink et al., 2017; Grantham et al., 2020; Rogers et al., 2022). Forests with high ecological integrity provide outsized benefits for carbon storage and biodiversity and have greater resilience, making them top priorities for protection (Grantham et al., 2020; Rogers et al., 2022). Within a given forest, large-diameter trees similarly provide outsized carbon storage and biodiversity benefits, comprising only 1% of trees globally but storing 50% of the above ground forest carbon (Lutz et al., 2018). Additionally, forests that improve protected area connectivity (Brennan et al., 2022; Brink et al., 2017), areas at high risk of loss (particularly to expansion of commodity agriculture; Curtis et al., 2018; Hansen et al., 2013), and areas with particularly large or specialized benefits for biodiversity, ecosystem services, and human well-being (Dinerstein et al., 2024; Sarira et al., 2022; Soto-Navarro et al., 2020) may be key targets for forest protection.

Action Word
Protect
Solution Title
Forests
Classification
Highly Recommended
Lawmakers and Policymakers
  • Set achievable targets and pledges for PA designation and set clear effectiveness goals for PAs, emphasizing the effectiveness of current PAs before seeking to expand designations.
  • Use a variety of indicators to measure effectiveness, such as estimated avoided deforestation.
  • Ensure public procurement utilizes deforestation-free products and supply chains.
  • Grant Indigenous communities full property rights and autonomy and support them in monitoring, managing, and enforcing PAs.
  • Ensure PAs do not displace, violate rights, or reduce access to vital resources for local and Indigenous communities.
  • Invest in PA infrastructure, monitoring, management, and enforcement mechanisms.
  • Utilize real-time monitoring and satellite data such as the “Real-Time System for Detection of Deforestation” (DETER).
  • Join, support, or create certification schemes like the Forest Stewardship Council for sustainable logging practices.
  • Conduct proactive land-use planning to avoid roads and other development projects that may interfere with PAs or incentivize deforestation.
  • Create processes for legal grievances, dispute resolution, and restitution.
  • Remove harmful agricultural and logging subsidies.
  • Prioritize reducing food loss and waste.
  • Create education programs that educate the public on PA regulations, the benefits of the regulations, and how to use forest resources sustainably.

Further information:

Practitioners
  • Set achievable targets and pledges for PA designation and set clear effectiveness goals for PAs, emphasizing the effectiveness of current PAs before seeking to expand designations
  • Use a variety of indicators to measure effectiveness, such as estimated avoided deforestation.
  • Ensure PAs do not displace, violate rights, or reduce access to vital resources for local and Indigenous communities.
  • Utilize real-time monitoring and satellite data such as the “Real-Time System for Detection of Deforestation” (DETER).
  • Create sustainable use regulations for PA areas that provide resources to the local community.
  • Conduct proactive land-use planning to avoid infrastructure or development projects that may interfere with PAs or incentivize deforestation.
  • Grant Indigenous communities full property rights and autonomy and support them in monitoring, managing, and enforcing PAs.
  • Join, support, or create certification schemes like the Forest Stewardship Council for sustainable logging practices.
  • Create processes for legal grievances, dispute resolution, and restitution.
  • Create education programs that educate the public on PA regulations, the benefits of the regulations, and how to use forest resources sustainably.

Further information:

Business Leaders
  • Create deforestation-free supply chains, utilizing data, information, and the latest technology to inform product sourcing.
  • Integrate deforestation-free business and investment policies and practices in Net-Zero strategies.
  • Only purchase carbon credits from high-integrity, verifiable carbon markets and do not use them as replacements for reducing emissions.
  • Help shift the public narrative around carbon markets as integrity increases to boost education, dialogue, and awareness.
  • Develop financial instruments to invest in PA jurisdictions, focusing on supporting Indigenous communities.
  • Join or create public-private partnerships, alliances, or coalitions of stakeholders and rightsholders to support PAs and advance deforestation-free markets.
  • Join, support, or create certification schemes like the Forest Stewardship Council for sustainable logging practices.
  • Conduct proactive land-use planning to avoid infrastructure or development projects that may interfere with PAs or incentivize deforestation.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support Indigenous and local communities' capacity for public relations and communications.
  • Support education programs that educate the public on PA regulations, the benefits of the regulations, and how to use forest resources sustainably.
  • Leverage political influence to advocate for stronger PA policies at national and international levels, especially policies that reduce deforestation pressure. 

Further information:

Nonprofit Leaders
  • Ensure operations utilize deforestation-free products and supply chains.
  • Advocate for PAs and for public investments and evaluation indicators to strengthen the effectiveness of PAs.
  • Assist in managing and monitoring PAs, utilizing real-time monitoring and satellite data such as the “Real-Time System for Detection of Deforestation” (DETER).
  • Provide financial support for PAs management, monitoring, and enforcement.
  • Assist in conducting proactive land-use planning to avoid infrastructure or development projects that may interfere with PAs or incentivize deforestation.
  • Advocate for creating legal grievance processes, dispute resolution mechanisms, and restitution procedures for violations or disagreements over PAs.
  • Support high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Help shift the public narrative around carbon markets as integrity increases to boost education, dialogue, and awareness.
  • Support PAs, businesses, and investors by sharing data, information, and investment frameworks that successfully avoid deforestation.
  • Help shift public narratives to mobilize public action and build political will for PAs by creating educational campaigns and strengthening networks of stakeholders and rightsholders.
  • Join, support, or create certification schemes like the Forest Stewardship Council for sustainable logging practices.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support Indigenous and local communities' capacity for legal protection and public relations.
  • Advocate for non-timber forest products to support local and Indigenous communities.
  • Advocate to remove harmful agricultural subsidies and prioritize reducing food loss and waste.

Further information:

Investors
  • Create deforestation-free investment portfolios, utilizing data, information, and the latest technology to inform investments.
  • Invest in PA infrastructure, monitoring, management, and enforcement mechanisms.
  • Invest in green bonds or high-integrity carbon credits for forest conservation efforts.
  • Develop financial instruments to invest in PA jurisdictions, focusing on supporting Indigenous communities.
  • Support PAs, other investors, and NGOs by sharing data, information, and investment frameworks that successfully avoid investments that drive deforestation.
  • Join, support, or create science-based certification schemes like the Forest Stewardship Council for sustainable logging practices.
  • Help shift public narratives to mobilize public action and build political will for PAs by creating educational campaigns and strengthening networks of stakeholders and rightsholders.
  • Require portfolio companies to eliminate deforestation from their supply chains and ask that they demonstrate strong PA practices.
  • Consider opportunities to invest in forest monitoring technologies or bioeconomy products derived from standing forests (e.g., nuts, berries, or other derivatives)

Further information:

Philanthropists and International Aid Agencies
  • Ensure operations utilize deforestation-free products and supply chains.
  • Provide financial support for PAs management, monitoring, and enforcement.
  • Assist in monitoring PAs, utilizing real-time monitoring and satellite data such as the “Real-Time System for Detection of Deforestation” (DETER).
  • Assist in conducting proactive land-use planning to avoid infrastructure or development projects that may interfere with PAs or incentivize deforestation.
  • Support and finance high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Help shift the public narrative around carbon markets as integrity increases to boost education, dialogue, and awareness.
  • Support PAs, businesses, and investors by sharing data, information, and investment frameworks that successfully avoid deforestation.
  • Help shift public narratives to mobilize public action and build political will for PAs by creating educational campaigns and strengthening networks of stakeholders and rightsholders.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Invest in and support Indigenous and local communities' capacity for public relations and communications.
  • Financially support Indigenous land tenure.
  • Join, support, or create certification schemes like the Forest Stewardship Council for sustainable logging practices.
  • Advocate for PAs and for public investments and evaluation indicators to strengthen the effectiveness of PAs.
  • Advocate for legal grievances, dispute resolution, and restitution processes.

Further information:

Thought Leaders
  • Advocate for PAs and for public investments and evaluation indicators to strengthen the effectiveness of PAs.
  • Assist in monitoring PAs, utilizing real-time monitoring and satellite data such as the “Real-Time System for Detection of Deforestation” (DETER).
  • Assist in conducting proactive land-use planning to avoid infrastructure or development projects that may interfere with PAs or incentivize deforestation.
  • Advocate for legal grievances, dispute resolution, and restitution processes.
  • Support high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Help shift the public narrative around carbon markets as integrity increases to boost education, dialogue, and awareness.
  • Support PAs, businesses, and investors by sharing data, information, and investment frameworks that successfully avoid deforestation.
  • Help shift public narratives to mobilize public action and build political will for PAs by creating educational campaigns and strengthening networks of stakeholders and rightsholders.
  • Amplify the voices of local communities and civil society to promote robust media coverage.
  • Support Indigenous and local communities' capacity for public relations and communications.

Further information:

Technologists and Researchers
  • Improving PA monitoring methods and data collection, utilizing satellite imagery and GIS tools.
  • Develop land-use planning tools that help avoid infrastructure or development projects that may interfere with PAs or incentivize deforestation.
  • Create tools for local communities to monitor PAs, such as mobile apps, e-learning platforms, and mapping tools.
  • Conduct evaluations of the species richness of potential PAs and recommend areas of high biodiversity to be designated as PAs.
  • Develop verifiable carbon credits using technology such as blockchain to improve the integrity of carbon markets.
  • Develop supply chain tracking software for investors and businesses seeking to create deforestation-free portfolios and products.

Further information:

Communities, Households, and Individuals
  • Ensure purchases and investments utilize deforestation-free products and supply chains.
  • Advocate for PAs and for public investments and evaluation indicators to strengthen the effectiveness of PAs.
  • Assist in monitoring PAs, utilizing real-time monitoring and satellite data such as the “Real-Time System for Detection of Deforestation” (DETER).
  • Assist in conducting proactive land-use planning to avoid infrastructure or development projects that may interfere with PAs or incentivize deforestation.
  • Advocate for legal grievances, dispute resolution, and restitution processes.
  • Support Indigenous and local communities' capacity for public relations and communications.
  • Assist with evaluations of the species richness of potential PAs and advocate for PAs in areas of high biodiversity that are threatened.
  • Help shift public narratives to mobilize public action and build political will for PAs by creating educational campaigns and strengthening networks of stakeholders and rightsholders.
  • Undertake forest protection and expansion initiatives locally by working to preserve existing forests and restore degraded forest areas.
  • Engage in citizen science initiatives by partnering with researchers or conservation groups to monitor PAs and document threats. 

Further information:

Sources
Evidence Base

Consensus of effectiveness in reducing emissions and maintaining carbon removal: High

There is high scientific consensus that forest protection is a key strategy for reducing forest loss and addressing climate change. Rates of forest loss are lower inside of PAs and Indigenous peoples’ lands than outside of them. Globally, Wolf et al. (2021) found that rates of forest loss inside PAs are 40.5% lower on average than in unprotected areas, and Li et al. (2024) estimated that overall forest loss is 14% lower in PAs relative to unprotected areas. Regional studies find similar average effects of PAs on deforestation rates. For instance, McNichol et al. (2023) reported 39% lower deforestation rates in African woodlands in PAs relative to unprotected areas, and Graham et al. (2021) reported 69% lower deforestation rates in PAs relative to unprotected areas in Southeast Asia. In the tropics, Sze et al. (2022) found that rates of forest loss were similar between Indigenous lands and PAs, with forest loss rates reduced 17–29% relative to unprotected areas. Baragwanath & Bayi (2020) reported a 75% decline in deforestation in the Brazilian Amazon when Indigenous peoples are granted full property rights.

Reductions in forest loss lead to proportionate reductions in CO₂ emissions. The Intergovernmental Panel on Climate Change (IPCC) estimated that ecosystem protection, including forests, peatlands, grasslands, and coastal wetlands, has a technical mitigation potential of 6.2 Gt CO₂‑eq/yr, 4.0 Gt of which are available at a carbon price less than US$100 tCO₂‑eq/yr  (Nabuurs et al., 2022). Similarly, Griscom et al. (2017) found that avoiding human-caused forest loss is among the most effective natural climate solutions, with a potential impact of 3.6 Gt CO₂‑eq/yr (including forests on peatlands), nearly 2 Gt CO₂‑eq/yr of which is achievable at a cost below US$10/t CO₂‑eq/yr.

The results presented in this document were produced through analysis of 12 global datasets. We recognize that geographic biases can influence the development of global datasets and hope this work inspires research and data sharing on this topic in underrepresented regions.

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Appendix

In this analysis, we integrated global land cover data, maps of forest loss rates, shapefiles of PAs and Indigenous people’s lands, country-scale data on reductions in forest loss inside of PAs, and biome-scale data on forest carbon stocks and sequestration rates to calculate currently protected forest area, total global forest area, and avoided emissions from forest protection. Forested peatlands and mangroves are excluded from this analysis and addressed in the Protect Peatlands and Protect Coastal Wetlands solutions, respectively.

Land cover data

We used two land cover data products to estimate forest extent inside and outside of PAs and Indigenous people’s lands, including: 1) the Global Forest Watch (GFW) tree cover dataset (Hansen et al., 2013), resampled to 30 second resolution, and 2) the 2022 European Space Agency Climate Change Initiative (ESA CCI) land cover dataset at native resolution (300 m). For the ESA CCI dataset, all non-flooded tree cover classes (50, 60, 70, 80, 90) and the “mosaic tree and shrub (>50%)/herbaceous cover (<50%)” class (100) and associated subclasses were included as forests. Both products are associated with uncertainty, which we did not address directly in our calculations. We include estimates from both products in order to provide readers with a sense of the variability in values that can stem from different land cover classification methods, which are discussed in more detail below.

These two datasets have methodological differences that result in substantially different classifications of forest extent, including their thresholds for defining forests, their underlying satellite data, and the algorithms used to classify forests based on the satellite information. For example, the ESA CCI product classifies 300-meter pixels with >15% tree cover as forests (based on our included classes), attempts to differentiate tree crops, relies on a 2003–2012 baseline land cover map coupled with a change-detection algorithm, and primarily uses imagery from MERIS, PROBA-V, and Sentinel missions (ESA CCI 2019). In contrast, the Global Forest Watch product generally requires >30% tree cover at 30-meter resolution, does not exclude tree crops, relies on a regression tree model for development of a baseline tree cover map circa 2010, and primarily uses Landsat ETM+ satellite imagery (Hansen et al., 2013). We recommend that interested readers refer to the respective user guides for each data product for a comprehensive discussion of the complex methods used for their development.

We used the Forest Landscape Integrity Index map developed by Grantham et al. (2020), which classifies forests with integrity indices ≥9.6 as high integrity. These forests are characterized by minimal human disturbance and high connectivity. Mangroves and peatlands were excluded from this analysis. We used a map of mangroves from Giri et al. (2011) and a map of peatlands compiled by Global Forest Watch to define mangrove and peatland extent (accessed at https://data.globalforestwatch.org/datasets/gfw::global-peatlands/about). The peatlands map is a composite of maps from five publications: Crezee et al. (2022), Gumbricht et al. (2017), Hastie et al. (2022), Miettinen et al. (2016), and Xu et al. (2018). For each compiled dataset, the data were resampled to 30-second resolution by calculating the area of each grid cell occupied by mangroves or peatlands. For each grid cell containing forests, the “eligible” forest area was calculated by subtracting the mangrove and peatland area from the total forest area for each forest cover dataset (GFW, ESA CCI, and high-integrity forests).

Protected forest areas

We identified protected forest areas using the World Database on Protected Areas (WDPA, 2024), which contains boundaries for each PA and additional information, including their establishment year and IUCN management category (Ia to VI, not applicable, not reported, and not assigned). For each PA polygon, we extracted the forest area from the GFW, ESA CCI, and high-integrity dataset (after removing the peatland and mangrove areas).

Each protected area was classified into a climate zone based on the midpoint between its minimum and maximum latitude. Zones included tropical (23.4°N–23.4°S), subtropical (23.4°–35° latitude), temperate (35°–50° latitude), and boreal (>50° latitude) in order to retain some spatial variability in emissions factors. We aggregated protected forest cover areas (from each of the two forest cover datasets and the high-integrity forest data) by IUCN class and climate zone. To evaluate trends in adoption over time, we also aggregated protected areas by establishment year. We used the same method to calculate the forest area that could be protected, extracting the total area of each land cover type by climate zone (inside and outside of existing PAs). 

We used maps from Garnett et al. (2018) to identify Indigenous people’s lands that were not inside established PAs. We calculated the total forest area within Indigenous people’s lands (excluding PAs, mangroves, and peatlands) using the same three forest area data sources. 

Forest loss and emissions factors

Forest loss rates were calculated for unprotected areas using the GFW forest loss dataset for 2001–2022, resampled to 1 km resolution. Forest losses were reclassified according to their dominant drivers based on the maps originally developed by Curtis et al. (2018), with updates accessible through GFW. Dominant drivers of forest loss include commodity agriculture, shifting agriculture, urbanization, forestry, and wildfire. We classified all drivers except wildfire as human-caused forest loss for this analysis. We calculated the area of forest loss attributable to each driver within each climate zone, which represented the “baseline” rate of forest loss outside of PAs. 

To calculate the difference in forest loss rates attributable to protection, we used country-level data from Wolf et al. (2021) on the ratio of forest loss in unprotected areas versus PAs, controlling for a suite of socio-environmental characteristics. We classified countries into climate zones based on their median latitude and averaged the ratios within climate zones. We defined the avoided forest loss attributable to protection as the product of the baseline forest loss rate and the ratio of forest loss outside versus inside of PAs.

We calculated the carbon benefits of avoided forest loss by multiplying avoided forest loss by average forest carbon stocks and sequestration rates. Harris et al. (2021) reported carbon stocks and sequestration rates by climate zone (boreal, temperate, subtropical, and tropical), and forest type. Carbon stocks and sequestration rates for primary and old secondary (>20 years old) forests were averaged for this analysis. We calculated carbon sequestration over a 20-yr period to provide values commensurate with the one-time loss of biomass carbon stocks.

Source data

Crezee, B. et al. Mapping peat thickness and carbon stocks of the central Congo Basin using field data. Nature Geoscience 15: 639-644 (2022). https://www.nature.com/articles/s41561-022-00966-7. Data downloaded from https://congopeat.net/maps/, using classes 4 and 5 only (peat classes). 

Curtis, P. G., Slay, C. M., Harris, N. L., Tyukavina, A., & Hansen, M. C. (2018). Classifying drivers of global forest loss. Science, 361(6407), 1108–1111. https://doi.org/10.1126/science.aau3445

ESA CCI (2019). Copernicus Climate Change Service, Climate Data Store: Land cover classification gridded maps from 1992 to present derived from satellite observation. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). Accessed November 2024. doi: 10.24381/cds.006f2c9a

Garnett, S. T., Burgess, N. D., Fa, J. E., Fernández-Llamazares, Á., Molnár, Z., Robinson, C. J., Watson, J. E. M., Zander, K. K., Austin, B., Brondizio, E. S., Collier, N. F., Duncan, T., Ellis, E., Geyle, H., Jackson, M. V., Jonas, H., Malmer, P., McGowan, B., Sivongxay, A., & Leiper, I. (2018). A spatial overview of the global importance of Indigenous lands for conservation. Nature Sustainability, 1(7), 369–374. https://doi.org/10.1038/s41893-018-0100-6

Giri C, Ochieng E, Tieszen LL, Zhu Z, Singh A, Loveland T, Masek J, Duke N (2011). Status and distribution of mangrove forests of the world using earth observation satellite data (version 1.3, updated by UNEP-WCMC). Global Ecology and Biogeography 20: 154-159. doi: 10.1111/j.1466-8238.2010.00584.x . Data URL: http://data.unep-wcmc.org/datasets/4

Gumbricht, T. et al. An expert system model for mapping tropical wetlands and peatlands reveals South America as the largest contributor. Global Change Biology 23, 3581–3599 (2017). https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.13689 

Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., & Townshend, J. R. G. (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change. Science, 342(6160), 850–853. https://doi.org/10.1126/science.1244693. Data available on-line from: http://earthenginepartners.appspot.com/science-2013-global-forest. Accessed through Global Forest Watch on 01/12/2024. www.globalforestwatch.org

Harris, N. L., Gibbs, D. A., Baccini, A., Birdsey, R. A., de Bruin, S., Farina, M., Fatoyinbo, L., Hansen, M. C., Herold, M., Houghton, R. A., Potapov, P. V., Suarez, D. R., Roman-Cuesta, R. M., Saatchi, S. S., Slay, C. M., Turubanova, S. A., & Tyukavina, A. (2021). Global maps of twenty-first century forest carbon fluxes. Nature Climate Change, 11(3), 234–240. https://doi.org/10.1038/s41558-020-00976-6

Hastie, A. et al. Risks to carbon storage from land-use change revealed by peat thickness maps of Peru. Nature Geoscience 15: 369-374 (2022). https://www.nature.com/articles/s41561-022-00923-4

Miettinen, J., Shi, C. & Liew, S. C. Land cover distribution in the peatlands of Peninsular Malaysia, Sumatra and Borneo in 2015 with changes since 1990. Global Ecological Conservation. 6, 67– 78 (2016). https://www.sciencedirect.com/science/article/pii/S2351989415300470

UNEP-WCMC and IUCN (2024), Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM) [Online], Accessed November 2024, Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net.

Wolf, C., Levi, T., Ripple, W. J., Zárrate-Charry, D. A., & Betts, M. G. (2021). A forest loss report card for the world’s protected areas. Nature Ecology & Evolution, 5(4), 520–529. https://doi.org/10.1038/s41559-021-01389-0

Xu et al. PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis. CATENA 160: 134-140 (2018). https://www.sciencedirect.com/science/article/pii/S0341816217303004 

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Updated Date

Reduce Food Loss & Waste

Submitted by Drawdown Admin on
Sector
Food, Agriculture, Land & Ocean (FALO)
Mode
Cut Emissions
Cluster
Curb Growing Demands
Image
Apples in crates with worker on tablet
Coming Soon
Off
Summary

More than one-third of all food produced for human consumption is lost or wasted before it can be eaten. This means that the GHGs emitted during the production and distribution of that particular food – including emissions from agriculture-related deforestation and soil management, methane emissions from livestock and rice production, and nitrous oxide emissions from fertilizer management – are also wasted. This solution reduces emissions by lowering the amount of food and its associated emissions that are lost or wasted across the supply chain, from production through consumption.

Extreme weather events
Income & work,Food security,Health
Land resources,Water resources
Description for Social and Search
Reduce Food Loss and Waste is a Highly Recommended climate solution. It avoids the GHG emissions embodied in produced but uneaten food.
Overview

The global food system, including land use, production, storage, and distribution, generates more than 25% of global GHG emissions (Poore and Nemecek, 2018). More than one-third of this food is lost or wasted before it can be eaten, with estimated associated emissions being recorded at 4.9 Gt CO₂‑eq/yr (our own calculation). FLW emissions arise from supply chain embodied emissions (i.e., the emissions generated from producing food and delivering to consumers). Reducing food loss and waste avoids the embodied emissions while simultaneously increasing food supply and reducing pressure to expand agricultural land use and intensity.

FLW occurs at each stage of the food supply chain (Figure 1). Food loss refers to the stages of production, handling, storage, and processing within the supply chain. Food waste occurs at the distribution, retail, and consumer stages of the supply chain.

Figure 1. GHG emissions occur at each stage of the food supply chain. Food loss occurs at the pre-consumer stages of the supply chain, whereas food waste occurs at the distribution, market, and consumption stages. Credit: Project Drawdown

Diagram showing five stages: Production, Handling and Storage, Processing, Distribution and Market, and Consumption, with Loss occurring in the first three stages, and waste occurring in the last two stages.

Food loss can be reduced through improved post-harvest management practices, such as increasing the number and storage capacity of warehouses, optimizing processes and equipment, and improving packaging to increase shelf life. Retailers can reduce food waste by improving inventory management, forecasting demand, donating unsold food to food banks, and standardizing date labeling. Consumers can reduce food waste by educating themselves, making informed purchasing decisions, and effectively planning meals. The type of interventions to reduce FLW will depend on the type(s) of food product, the supply chain stage(s), and the location(s). 

When FLW cannot be prevented, organic waste can be managed in ways that limit its GHG emissions. Waste management is not included in this solution but is addressed in other Drawdown Explorer solutions (see Deploy Methane Digesters, Improve Landfill Management, and Increase Centralized Composting).

Almaraz, M., Houlton, B. Z., Clark, M., Holzer, I., Zhou, Y., Rasmussen, L., Moberg, E., Manaigo, E., Halpern, B. S., Scarborough, C., Lei, X. G., Ho, M., Allison, E., Sibanda, L., & Salter, A. (2023). Model-based scenarios for achieving net negative emissions in the food system. PLOS Climate 2(9), Article e0000181. Link to source: https://doi.org/10.1371/journal.pclm.0000181

Amicarelli, V., Lagioia, G., & Bux, C. (2021). Global warming potential of food waste through the life cycle assessment: An analytical review. Environmental Impact Assessment Review, 91, Article 106677. Link to source: https://doi.org/10.1016/j.eiar.2021.106677

Anríquez, G., Foster, W., Santos Rocha, J., Ortega, J., Smolak, J., & Jansen, S. (2023). Reducing food loss and waste in the Near East and North Africa – Producers, intermediaries and consumers as key decision-makers. Food and Agriculture Organization of the United Nations. Link to source: https://doi.org/10.4060/cc3409en

Babiker, M., Berndes, G., Blok, K., Cohen, B., Cowie, A., Geden, O., Ginzburg, V., Leip, A., Smith, P., Sugiyama, M., & Yamba, F. (2022). Cross-sectoral perspectives. In P. R. Shukla, J. Skea, R. Slade, A. Al Khourdajie, R. van Diemen, D. McCollum, M. Pathak, S. Some, P. Vyas, R. Fradera, M. Belkacemi, A. Hasija, G. Lisboa, S. Luz, & J. Malley (Eds.), Climate change 2022: Mitigation of climate change. Contribution of working group III to the sixth assessment report of the intergovernmental panel on climate change (pp. 1245–1354). Cambridge University Press. Link to source: https://doi.org/10.1017/9781009157926.014

Byrne, F., Medina, M. K., Mosqueda, E., Salinas, E., Suarez Peña, A. C., Suarez, J. D., Raimondi, G., & Molina, M. (2024). Sustainability impacts of food recovery & redistribution organizations. The Global FoodBanking Network. Link to source: https://www.foodbanking.org/wp-content/uploads/2024/08/FRAME-Methodology_Food-Recovery-to-Avoid-Methane-Emissions_GFN.pdf

Cattaneo, A., Federighi, G., & Vaz, S. (2021). The environmental impact of reducing food loss and waste: A critical assessment. Food Policy, 98, Article 101890. Link to source: https://doi.org/10.1016/j.foodpol.2020.101890

Cattaneo, A., Sánchez, M. V., Torero, M., & Vos, R. (2021). Reducing food loss and waste: Five challenges for policy and research. Food Policy, 98, Article 101974. Link to source: https://doi.org/10.1016/j.foodpol.2020.101974

Chen, C., Chaudhary, A., & Mathys, A. (2020). Nutritional and environmental losses embedded in global food waste. Resources, Conservation and Recycling, 160, Article 104912. Link to source: https://doi.org/10.1016/j.resconrec.2020.104912

Creutzig, F., Niamir, L., Bai, X., Callaghan, M., Cullen, J., Díaz-José, J, Figueroa, M., Grubler, A., Lamb, W.F., Leip, A., Masanet, E., Mata, É., Mattauch, L., Minx, J., Mirasgedis, S., Mulugetta, Y., Nugroho, S.B., Pathak, M., Perkins, P., Roy, J., de la Rue du Can, S., Saheb, Y., Some, S., Steg, L., Steinberger, J., & Ürge-Vorsatz, D. (2021). Demand-side solutions to climate change mitigation consistent with high levels of well-being. Nature Climate Change, 12(1), 36-46. Link to source: https://doi.org/10.1038/s41558-021-01219-y 

Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F. N., & Leip, A. (2021). Food systems are responsible for a third of global anthropogenic GHG emissions. Nature Food, 2(3), 198-209. Link to source: https://doi.org/10.1038/s43016-021-00225-9

Davidenko, V., & Sweitzer, M. (2024, November 19). U.S. households that earn less spend a higher share of income on food. USDA Economic Research Service. Link to source: https://www.ers.usda.gov/data-products/charts-of-note/chart-detail?chartId=110391#:~:text=U.S.%20households%20were%20divided%20into,32.6%20percent%20of%20their%20income

de Gorter, H., Drabik, D., Just, D. R., Reynolds, C., & Sethi, G. (2021). Analyzing the economics of food loss and waste reductions in a food supply chain. Food Policy, 98, Article 101953. Link to source: https://doi.org/10.1016/j.foodpol.2020.101953

Delgado, L., Schuster, M., & Torero, M. (2021). Quantity and quality food losses across the value chain: A comparative analysis. Food Policy, 98, Article 101958. Link to source: https://doi.org/10.1016/j.foodpol.2020.101958

Eurostat (2024). Food waste and food waste prevention by NACE Rev. 2 activity [Dataset]. Link to source: https://ec.europa.eu/eurostat/databrowser/view/env_wasfw/default/table?lang=en&category=env.env_was.env_wasst 

European Commission Knowledge Center for Bioeconomy (2024). EU Bioeconomy Monitoring System [Dataset]. Link to source: https://knowledge4policy.ec.europa.eu/bioeconomy/monitoring_en 

Fabi, C., Cachia, F., Conforti, P., English, A., & Rosero Moncayo, J. (2021). Improving data on food losses and waste: From theory to practice. Food Policy, 98, Article 101934. Link to source: https://doi.org/10.1016/j.foodpol.2020.101934

Food and Agriculture Organization of the United Nations. (2014). Food wastage footprint: Full-cost accounting. Link to source: https://openknowledge.fao.org/server/api/core/bitstreams/6a266c4f-8493-471c-ab49-30f2e51eec8c/content

Food and Agriculture Organization of the United Nations. (2019). The state of food and agriculture 2019: Moving forward on food loss and waste reduction. Link to source: https://openknowledge.fao.org/server/api/core/bitstreams/11f9288f-dc78-4171-8d02-92235b8d7dc7/content

Food and Agriculture Organization of the United Nations. (2023). Tracking progress on food and agriculture-related SDG indicators 2023. Link to source: https://doi.org/10.4060/cc7088en

Food Waste Coalition of Action. (2024). Driving emissions down and profit up by reducing food waste. The Consumer Goods Forum and AlixPartners. Link to source: https://www.theconsumergoodsforum.com/wp-content/uploads/2024/06/Driving-Emissions-Down-Profit-Up-By-Reducing-Food-Waste-FWReport2024-1.pdf

Gatto, A., & Chepeliev, M. (2024). Reducing global food loss and waste could improve air quality and lower the risk of premature mortality. Environmental Research Letters, 19, Article 014080. Link to source: https://doi.org/10.1088/1748-9326/ad19ee

Goossens, Y., Wegner, A., & Schmidt, T. (2019). Sustainability assessment of food waste prevention measures: Review of existing evaluation practices. Frontiers in Sustainable Food Systems, 3(90). Link to source: https://doi.org/10.3389/fsufs.2019.00090

Guo, X., Broeze, J., Groot, J. J., Axmann, H., & Vollebregt, M. (2020). A worldwide hotspot analysis on food loss and waste, associated greenhouse gas emissions, and protein losses. Sustainability, 12(18), Article 7488. Link to source: https://doi.org/10.3390/su12187488

Hanson, C., & Mitchell, P. (2017). The Business Case for Reducing Food Loss and Waste. Link to source: https://champions123.org/sites/default/files/2020-08/business-case-for-reducing-food-loss-and-waste.pdf

Hegnsholt, E., Unnikrishnan, S., Pollmann-Larsen, M., Askelsdottir, B., & Gerard, M. (2018). Tackling the 1.6-billion-ton food loss and waste crisis. The Boston Consulting Group, Food Nation, State of Green. Link to source: https://web-assets.bcg.com/img-src/BCG-Tackling-the-1.6-Billion-Ton-Food-Waste-Crisis-Aug-2018%20%281%29_tcm9-200324.pdf

Hegwood, M., Burgess, M. G., Costigliolo, E. M., Smith, P., Bajzelj, B., Saunders, H., & Davis, S. J. (2023). Rebound effects could offset more than half of avoided food loss and waste. Nature Food, 4(7), 585-595. Link to source: https://doi.org/10.1038/s43016-023-00792-z

Jaglo, K., Kelly, S., & Stephenson, J. (2021). From farm to kitchen: The environmental impacts of U.S. food waste (Report No. EPA 600-R21 171). U.S. Environmental Protection Agency. Link to source: https://www.epa.gov/land-research/farm-kitchen-environmental-impacts-us-food-waste

Karl, K., Tubiello, F. N., Crippa, M., Poore, J., Hayek, M. N., Benoit, P., Chen, M., Corbeels, M., Flammini, A., Garland, S., Leip, A., McClelland, S., Mencos Contreras, E., Sandalow, D., Quadrelli, R., Sapkota, T., and Rosenzweig, C. (2024). Harmonizing food systems emissions accounting for more effective climate action. Environmental Research: Food Systems, 2(1), Article 015001. Link to source: https://doi.org/10.1088/2976-601X/ad8fb3

Kaza, Silpa, Lisa Yao, Perinaz Bhada-Tata, and Frank Van Woerden (2018). What a waste 2.0: A global snapshot of solid waste management to 2050. Urban Development Series. World Bank. Link to source: http://hdl.handle.net/10986/30317

Kenny, S. (2025). Estimating the Cost of Food Waste to American Consumers. (No. EPA/600/R25-048). U.S. Environmental Protection Agency Office of Research and Development. Link to source: https://www.epa.gov/system/files/documents/2025-04/costoffoodwastereport_508.pdf 

Kenny, S., Stephenson, J., Stern, A., Beecher, J., Morelli, B., Henderson, A., Chiang, E., Beck, A., Cashman, S., Wexler, E., McGaughy, K., & Martell, A. (2023). From Field to Bin: The Environmental Impact of U.S. Food Waste Management Pathways (No. EPA/600/R-23/065). U.S. Environmental Protection Agency Office of Research and Development. Link to source: https://www.epa.gov/land-research/field-bin-environmental-impacts-us-food-waste-management-pathways

Kummu, M., De Moel, H., Porkka, M., Siebert, S., Varis, O., & Ward, P. J. (2012). Lost food, wasted resources: Global food supply chain losses and their impacts on freshwater, cropland, and fertiliser use. Science of The Total Environment, 438, 447-489. Link to source: https://doi.org/10.1016/j.scitotenv.2012.08.092

Lipinski, B. (2024). SDG target 12.3 on food loss and waste: 2024 progress report. Champions 12.3. Link to source: https://champions123.org/sites/default/files/2024-09/champions-12-3-2024-progress-report.pdf

Mbow, C., Rosenzweig, C., Barioni, L. G., Benton, T. G., Herrero, M., Krishnapillai, M., Liwenga, E., Pradhan, P., Rivera-Ferre, M. G., Sapkota, T., Tubiello, F. N., & Xu, Y. (2019). Food security. In P. R. Shukla, J. Skea, E. Calvo Buendia, V. Masson-Delmotte, H.-O. Pörtner, D. C. Roberts, P. Zhai, R. Slade, S. Connors, R. van Diemen, M. Ferrat, E. Haughey, S. Luz, S. Neogi, M. Pathak, J. Petzold, J. Portugal Pereira, P. Vyas, E. Huntley, K. Kissick, M. Belkacemi, & J. Malley (Eds.), Climate change and land: An IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems (pp. 437–550). Cambridge University Press. Link to source: https://doi.org/10.1017/9781009157988.007

Marston, L. T., Read, Q. D., Brown, S. P., & Muth, M. K. (2021). Reducing water scarcity by reducing food loss and waste. Frontiers in Sustainable Food Systems, 5. Link to source: https://doi.org/10.3389/fsufs.2021.651476

Moraes, N. V., Lermen, F. H., & Echeveste, M. E. S. (2021). A systematic literature review on food waste/loss prevention and minimization methods. Journal of Environmental Management, 286. Link to source: https://doi.org/10.1016/j.jenvman.2021.112268

Nabuurs, G.-J., Mrabet, R., Hatab, A. A., Bustamante, M., Clark, H., Havlík, P., House, J. I., Mbow, C., Ninan, K. N., Popp, A., Roe, S., Sohngen, B., & Towprayoon, S. (2022). Agriculture, forestry and other land uses (AFOLU). In P. R. Shukla, J. Skea, R. Slade, A. Al Khourdajie, R. van Diemen, D. McCollum, M. Pathak, S. Some, P. Vyas, R. Fradera, M. Belkacemi, A. Hasija, G. Lisboa, S. Luz, & J. Malley (Eds.), Climate change 2022: Mitigation of climate change. Contribution of working group III to the sixth assessment report of the intergovernmental panel on climate change (pp. 747–860). Cambridge University Press. Link to source: https://doi.org/10.1017/9781009157926.009

Neff, R. A., Kanter, R., & Vandevijvere, S. (2015). Reducing food loss and waste while improving the public’s health. Health Affairs, 34(11), 1821-1829. Link to source: https://doi.org/10.1377/hlthaff.2015.0647

Nutrition Connect. (2023). Reducing waste from farm to plate: A multi-stakeholder recipe to reduce food loss and waste. Global Alliance for Improved Nutrition (GAIN). Link to source: https://nutritionconnect.org/news-events/reducing-food-loss-waste-farm-plate-stakeholder-recipe-compendium

Poore, J., & Nemecek, T. (2018). Reducing food’s environmental impacts through producers and consumers. Science, 360(6392), 987-992. Link to source: https://doi.org/10.1126/science.aaq0216

Porter, S. D., Reay, D. S., Higgins, P., & Bomberg, E. (2016). A half-century of production-phase greenhouse gas emissions from food loss & waste in the global food supply chain. Science of the Total Environment, 571, 721-729. Link to source: https://doi.org/10.1016/j.scitotenv.2016.07.041

Read, Q. D., Brown, S., Cuellar, A. D., Finn, S. M., Gephart, J. A., Marston, L. T., Meyer, E., Weitz, K.A., & Muth, M. K. (2020). Assessing the environmental impacts of halving food loss and waste along the food supply chain. Science of the Total Environment, 712, Article 136255. Link to source: https://doi.org/10.1016/j.scitotenv.2019.136255

Read, Q. D., & Muth, M. K. (2021). Cost-effectiveness of four food waste interventions: Is food waste reduction a “win–win?”. Resources, Conservation and Recycling, 168. Link to source: https://doi.org/10.1016/j.resconrec.2021.105448 

ReFED. (2024). The methane impact of food loss and waste in the United States. Link to source: https://refed.org/uploads/refed-methane-report-final.pdf

Reynolds, C., Goucher, L., Quested, T., Bromley, S., Gillick, S., Wells, V. K., Evans, D., Koh, L., Carlsson Kanyama, A., Katzeff, C., Svenfelt, A., & Jackson, P. (2019). Review: Consumption-stage food waste reduction interventions – What works and how to design better interventions. Food Policy, 83, 7-27. Link to source: https://doi.org/10.1016/j.foodpol.2019.01.009

Rolker, H., Eisler, M., Cardenas, L., Deeney, M., & Takahashi, T. (2022). Food waste interventions in low-and-middle-income countries: A systematic literature review. Resources, Conservation and Recycling, 186. Link to source: https://doi.org/10.1016/j.resconrec.2022.106534 

Searchinger, T., Waite, R., Hanson, C., & Ranganathan, J. (2019). Creating a sustainable food future. World Resources Institute. Link to source: https://research.wri.org/sites/default/files/2019-07/WRR_Food_Full_Report_0.pdf

Sheahan, M., & Barrett, C. B. (2017). Review: Food loss and waste in Sub-Saharan Africa. Food Policy, 70, 1-12. Link to source: https://doi.rog/10.1016/j.foodpol.2017.03.012

Swannell, R., Falconer Hall, M., Tay, R., & Quested, T. (2019). The food waste atlas: An important tool to track food loss and waste and support the creation of a sustainable global food system. Resources, Conservation and Recycling, 146, 534-545. Link to source: https://doi.org/10.1016/j.resconrec.2019.02.006

Thi, N. B. D., Kumar, G., & Lin, C.-Y. (2015). An overview of food waste management in developing countries: Current status and future perspective. Journal of Environmental Management, 157, 220-229. Link to source: https://doi.org/10.1016/j.jenvman.2015.04.022

Tubiello, F. N., Karl, K., Flammini, A., Gütschow, J., Obli-Laryea, G., Conchedda, G., Pan, X., Qi, S. Y., Halldórudóttir Heiðarsdóttir, H., Wanner, N., Quadrelli, R., Rocha Souza, L., Benoit, P., Hayek, M., Sandalow, D., Mencos Contreras, E., Rosenzweig, C., Rosero Moncayo, J., Conforti, P., & Torero, M. (2022). Pre- and post-production processes increasingly dominate greenhouse gas emissions from agri-food systems. Earth System Science Data, 14(4), 1795-1809. Link to source: https://doi.org/10.5194/essd-14-1795-2022

United Nations Environment Programme. (2024). Food waste index report 2024. Think eat save: Tracking progress to halve global food waste. Link to source: https://wedocs.unep.org/xmlui/handle/20.500.11822/45230

U.S. Food and Drug Administration. (2019). Food facts: How to cut food waste and maintain food safety. Link to source: https://www.fda.gov/food/consumers/how-cut-food-waste-and-maintain-food-safety

Wilson, N. L. W., Rickard, B. J., Saputo, R., & Ho, S.-T. (2017). Food waste: The role of date labels, package size, and product category. Food Quality and Preference, 55, 35-44. Link to source: https://doi.org/10.1016/j.foodqual.2016.08.004 

World Bank. (2020). Addressing food loss and waste: A global problem with local solutions. Link to source: https://openknowledge.worldbank.org/entities/publication/1564bf5c-ed24-5224-b5d8-93cd62aa3611

WRAP (2023). UK Food System Greenhouse Gas Emissions: Progress towards the Courtauld 2030 target. Link to source: https://www.wrap.ngo/sites/default/files/2024-05/WRAP-MIANZW-Annual-Progress-Summary-report-22-23-Variation-1-2024-04-30.pdf

WRAP (2024). UK food system greenhouse gas emissions: Progress towards the Courtauld 2030 target. Link to source: https://www.wrap.ngo/sites/default/files/2024-12/WRAP-Courtauld-2030-GHG-2324.pdf

WWF-UK. (2021). Driven to waste: The global impact of food loss and waste on farms. :Link to source: https://files.worldwildlife.org/wwfcmsprod/files/Publication/file/5p58sxloyr_technical_report_wwf_farm_stage_food_loss_and_waste.pdf

WWF-WRAP. (2020). Halving food loss and waste in the EU by 2030: The major steps needed to accelerate progress. Link to source: https://www.wrap.ngo/resources/report/halving-food-loss-and-waste-eu-2030-major-steps-needed-accelerate-progress

Xue, L., Liu, G., Parfitt, J., Liu, X., Herpen, E. V., O’Connor, C., Östergren, K., & Cheng, S. 2017. Missing food, missing data? A critical review of global food losses and food waste data. Env Sci Technol. 51, 6618-6633. Link to source: https://doi.org/10.1021/acs.est.7b00401 

Ziervogel, G., & Ericksen, P. J. (2010). Adapting to climate change to sustain food security. WIREs Climate Change, 1(4), 525-540. Link to source: https://doi.org/10.1002/wcc.56

Zhu, J., Luo, Z., Sun, T., Li, W., Zhou, W., Wang, X., Fei, X., Tong, H., & Yin, K. (2023). Cradle-to-grave emissions from food loss and waste represent half of total greenhouse gas emissions from food systems. Nature Food, 4(3), 247-256. Link to source: https://doi.org/10.1038/s43016-023-00710-3

Credits

Lead Fellows

  • Erika Luna

  • Aishwarya Venkat, Ph.D.

Contributors

  • Ruthie Burrows, Ph.D.

  • Emily Cassidy, Ph.D.

  • James Gerber, Ph.D.

  • Yusuf Jameel, Ph.D.

  • Daniel Jasper

  • Alex Sweeney

  • Eric Toensmeier

  • Paul C. West, Ph.D.

Internal Reviewers

  • Aiyana Bodi

  • Hannah Henkin

  • Megan Matthews, Ph.D.

  • Heather McDiarmid, Ph.D.

  • Ted Otte

  • Christina Swanson, Ph.D.

  • Paul C. West, Ph.D.

Effectiveness

Our analysis estimates that reducing FLW reduces emissions 2.82 t CO₂‑eq (100-yr basis) for every metric ton of food saved (Table 1). This estimate is based on selected country and global assessments from nongovernmental organizations (NGOs), public agencies, and development banks (ReFED, 2024; World Bank, 2020; WRAP, 2024). All studies included in this estimate reported a reduction in both volumes of FLW and GHG emissions. However, it is important to recognize that the range of embodied emissions varies widely across foods (Poore & Nemecek, 2018). For example, reducing meat waste can be more effective than reducing fruit waste because the embodied emissions are much higher.

Effectiveness is only reported on a 100-yr time frame here because our data sources did not include enough information to separate out the contribution of different GHGs and calculate the effectiveness on a 20-yr time frame.

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Table 1. Effectiveness at reducing emissions.

Unit: t CO₂‑eq /t reduced FLW, 100-yr basis

25th percentile 2.75
Mean 3.11
Median (50th percentile) 2.82
75th percentile 3.30
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Cost

The net cost of baseline FLW is US$932.56/t waste, based on values from the Food and Agriculture Organization of the United Nations (FAO, 2014) and Hegensholt et al. (2018). The median net cost of implementing strategies and practices that reduce FLW is US$385.5/t waste reduced, based on values from ReFED (2024) and Hanson and Mitchell (2017). These costs include, but are not limited to, improvements to inventory tracking, storage, and diversion to food banks. Therefore, the net cost of the solution compared to baseline is a total savings of US$547.0/t waste reduced. 

Therefore, reducing emissions for FLW is cost-effective, saving US$194.0/t avoided CO₂‑eq on a 100-yr basis (Table 2).

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Table 2. Net cost per unit climate impact.

Unit: US$/t CO₂‑eq , 2023

Median (100-yr basis) -194.0
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Learning Curve

Learning curve data were not yet available for this solution.

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Speed of Action

Speed of action refers to how quickly a climate solution physically affects the atmosphere after it is deployed. This is different from speed of deployment, which is the pace at which solutions are adopted.

At Project Drawdown, we define the speed of action for each climate solution as emergency brake, gradual, or delayed.

Reduce Food Loss and Waste is an EMERGENCY BRAKE climate solution. It has the potential to deliver a more rapid impact than nominal and delayed solutions. Because emergency brake solutions can deliver their climate benefits quickly, they can help accelerate our efforts to address dangerous levels of climate change. For this reason, they are a high priority.

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Caveats

Reducing FLW through consumer behavior, supply chain efficiencies, or other means can lead to lower food prices, creating a rebound effect that leads to increased consumption and GHG emissions (Hegwood et al., 2023). This rebound effect could offset around 53–71% of the mitigation benefits (Hegwood et al., 2023). Population and economic growth also increase FLW. The question remains however, who should bear the cost of implementing FLW solutions. A combination of value chain investments by governments and waste taxes for consumers may be required for optimal FLW reduction (Gatto, 2023; Hegwood, 2023; The World Bank, 2020). 

Strategies for managing post-consumer waste through composting and landfills are captured in other Project Drawdown solutions (see Improve Landfill Management, Increase Centralized Composting, and Deploy Methane Digesters).

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Current Adoption

Due to a lack of data we were not able to quantify current adoption for this solution.

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Adoption Trend

Data on adoption trends were not available.

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Adoption Ceiling

We assumed an adoption ceiling of 1.75 Gt of FLW reduction in 2023, which reflects a 100% reduction in FLW (Table 3). While reducing FLW by 100% is unrealistic because some losses and waste are inevitable (e.g., trimmings, fruit pits and peels) and some surplus food is needed to ensure a stable food supply (HLPE, 2014), we kept that simple assumption because there wasn’t sufficient information on the amount of inevitable waste, and it is consistent with other research used in this assessment.

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Table 3. Adoption ceiling.

Unit: t reduced FLW/yr

Median 1,750,000,000
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Achievable Adoption

Studies consider that halving the reduction in FLW by 2050 is extremely ambitious and would require “breakthrough technologies,” whereas a 25% reduction is classified as highly ambitious, and a 10% reduction is more realistic based on coordinated efforts (Searchinger, 2019; Springmann et al., 2018). With our estimate of 1.75 Gt of FLW per year, a 25% reduction equals 0.48 Gt, while a 50% reduction would represent 0.95 Gt of reduced FLW.

It is important to acknowledge that, 10 years after the 50% reduction target was set in the Sustainable Development Goals (SDGs, Goal 12.3), the world has not made sufficient progress. The challenge has therefore become larger as the amounts of FLW keep increasing at a rate of 2.2%/yr (Gatto & Chepeliev, 2023; Hegnsholt, et al. 2018; Porter et al., 2016).

As a result of these outcomes, we have selected a 25% reduction in FLW as our Achievable – Low and 50% as our Achievable – High. Reductions in FLW are 437.5, 875.0, and 1,750 Mt FLW/year for Achievable – Low, Achievable – High, and Adoption Ceiling, respectively (Table 4).

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Table 4. Adoption levels.

Unit: t reduced FLW/yr

Current adoption (baseline) Not determined
Achievable – low (25% of total FLW) 437,500,000
Achievable – high (50% of total FLW) 875,000,000
Adoption ceiling (100% of total FLW) 1,750,000,000
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An Achievable – Low (25% FLW reduction) could represent 1.23 Gt CO₂‑eq/yr (100-yr basis) of reduced emissions, whereas an Achievable – High (50% FLW reduction) could represent up to 2.47 Gt CO₂‑eq/yr. The adoption potential (100% FLW reduction) would result in 4.94 Gt CO₂‑eq/yr (Table 5). We only report emissions outcomes on a 100-yr basis here because most data sources did not separate the percentage of type of food wasted or disaggregate their associated emissions factors by GHG type. Estimated impacts would be higher on a 20-yr basis due to the higher GWP of methane associated with meat and rice production. 

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Table 5. Climate impact at different levels of adoption.

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current adoption (1.5% of total FLW) Not determined
Achievable – low (25% of total FLW) 1.23
Achievable – high (50% of total FLW) 2.47
Adoption ceiling (100% of total FLW) 4.94
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We also compiled studies that have modeled the climate impacts of different FLW reduction scenarios, from 10% to 75%. For an achievable 25% reduction, Scheringer (2019) estimated a climate impact of 1.6 Gt CO₂‑eq/yr. Studies that modeled the climate impact of a 50% reduction by 2050 estimated between 0.5 Gt CO₂‑eq/yr (excluding emissions from agricultural production and land use change; Roe at al., 2021) to 3.1–4.5 Gt CO₂‑eq/yr (including emissions from agricultural production and land use change; Roe at al., 2021; Searchinger et al., 2019).

Multiple studies stated that climate impacts from FLW reduction would be greater when combined with the implementation of dietary changes (see the Improve Diets solution; Almaraz et al., 2023; Babiker et al.; 2022; Roe et al., 2021; Springmann et al., 2018; Zhu et al., 2023).

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Additional Benefits

Extreme Weather Events

Households and communities can strengthen adaptation to climate change by improving food storage, which helps reduce food loss (Ziervogel & Ericksen, 2010). Better food storage infrastructure improves food security from extreme weather events such as drought or floods which make it more difficult to grow food and can disrupt food distribution (Mbow et al., 2019). 

Income and Work

FLW accounts for a loss of about US$1 trillion annually (World Bank, 2020). In the United States, a four-person household spends about US$2,913 on food that is wasted (Kenny, 2025). These household-level savings are particularly important for low-income families because they commonly spend a higher proportion of their income on food (Davidenko & Sweitzer, 2024). Reducing FLW can improve economic efficiency (Jaglo et al., 2021). In fact, a report by Champions 12.3 found efforts to reduce food waste produced positive returns on investments in cities, businesses, and households in the United Kingdom (Hanson & Mitchell, 2017). FLW in low- and middle-income countries mostly occurs during the pre-consumer stages, such as storage, processing, and transport (Kaza et al., 2018). Preventive measures to reduce these losses have been linked to improved incomes and profits (Rolker et al., 2022). 

Food Security

Reducing FLW increases the amount of available food, thereby improving food security without requiring increased production (Neff et al., 2015). The World Resources Institute estimated that halving the rate of FLW could reduce the projected global need for food approximately 20% by 2050 (Searchinger et al., 2019). In the United States, about 30–40% of food is wasted (U.S. Food and Drug Administration [U.S. FDA], 2019) with this uneaten food accounting for enough calories to feed more than 150 million people annually (Jaglo et al., 2021). These studies demonstrate that reducing FLW can simultaneously decrease the demand for food production while improving food security.

Health

Policies that reduce food waste at the consumer level, such as those that improve food packaging and require clearer information on shelf life and date labels, can reduce the number of foodborne illnesses (Neff et al., 2015; U.S. FDA, 2019). Additionally, efforts to improve food storage and food handling can further reduce illnesses and improve working conditions for food-supply-chain workers (Neff et al., 2015). Reducing FLW can lower air pollution from food production, processing, and transportation and from disposal of wasted food (Nutrition Connect, 2023). Gatto and Chepeliev (2024) found that reducing FLW can improve air quality (primarily through reductions in carbon monoxide, ammonia, nitrogen oxides, and particulate matter), which lowers premature mortality from respiratory infections. These benefits were primarily observed in China, India, and Indonesia, where high FLW-embedded air pollution is prevalent across all stages of the food supply chain (Gatto & Chepeliev, 2024).

Land Resources

For a description of the land resources benefits, please refer to the “water resources” subsection below. 

Water Resources

Reducing FLW can conserve resources and improve biodiversity (Cattaneo, Federighi, & Vaz, 2021). A reduction in FLW reflects improvements in resource efficiency of freshwater, synthetic fertilizers, and cropland used for agriculture (Kummu et al., 2012). Reducing the strain on freshwater resources is particularly relevant in water-scarce areas such as North Africa and West-Central Asia (Kummu et al., 2012). In the United States, halving the amount of FLW could reduce approximately 290,000 metric tons of nitrogen from fertilizers, thereby reducing runoff, improving water quality, and decreasing algal blooms (Jaglo et al., 2021).

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Risks

Interventions to address FLW risk ignoring economic factors such as price transmission mechanisms and cascading effects, both upstream and downstream in the supply chain. The results of a FLW reduction policy or program depend greatly on the commodity, initial FLW rates, and market integration (Cattaneo, 2021; de Gorter, 2021).

On the consumer side, there is a risk of a rebound effect: Avoiding FLW can lower food prices, leading to increased consumption and net increase in GHG emissions (Hegwood et al., 2023). Available evidence is highly contextual and often difficult to scale, so relevant dynamics must be studied with care (Goossens, 2019).

The production site is a critical loss point, and farm incomes, scale of operations, and expected returns to investment affect loss reduction interventions (Anriquez, 2021; Fabi, 2021; Sheahan and Barrett, 2017).

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Interactions with Other Solutions

Reducing FLW can lower new demand for high-emissions foods, like ruminant meat.

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Reducing FLW can lower demand for new production of livestock and crops, reducing the use of fertilizers or manure and therefore associated emissions.

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Reducing FLW can reduce the demand to expand agriculture, support land conservation and restoration, and benefit water quality.

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Reducing food loss and waste can reduce the demand for wild-harvested macroalgae.

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(mixed) Reducing FLW can increase demand for cold storage, more efficient appliances, and optimized transport, which could reinforce the adoption of solutions targeting these improvements. However, reducing FLW could compete with other solutions if loss reductions are achieved mainly from producing less food, which could lead to lower refrigeration demand.

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Competing

Food waste is used as raw material for methane digestors and composting. Reducing FLW may reduce the impact of those solutions as a result of decreased feedstock availability.

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Dashboard

Solution Basics

t reduced FLW

t CO₂-eq (100-yr)/unit
02.752.82
units/yr
Current Not Determined 04.375×10⁸8.75×10⁸
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current Not Determined 1.232.47
US$ per t CO₂-eq
-194
Emergency Brake

CO₂ , CH₄ , N₂O

Trade-offs

Some FLW reduction strategies have trade-offs for emission reductions (Cattaneo, 2021; de Gorter et al., 2021). For example, improved cold storage and packaging are important interventions for reducing food loss, yet they require additional electricity and refrigerants, which can increase GHG emissions (Babiker et al., 2022; FAO, 2019).

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Action Word
Reduce
Solution Title
Food Loss & Waste
Classification
Highly Recommended
Lawmakers and Policymakers
  • Ensure public procurement uses strategies to reduce FLW at all stages of the supply chain; consider using the Food Loss and Waste Protocol.
  • Use financial incentives and regulations to promote efficient growing practices, harvesting methods, and storage technologies.
  • Utilize financial instruments such as taxes, subsidies, or exemptions to support infrastructure, technology, and enforcement.
  • Implement bans on food waste in landfills.
  • Standardize food date labels.
  • Mandate FLW reporting and reduction targets for major food businesses.
  • Prioritize policies that divert FLW toward human consumption first, then prioritize animal feed or compost.
  • Fund research to improve monitoring technologies, food storage, and resilient crop varieties.
  • Invest or expand extension services to work with major food businesses to reduce FLW.
  • Invest in and improve supportive infrastructure including electricity, public storage facilities, and roads to facilitate compost supply chains.
  • Create, support, or join education campaigns and/or public-private partnerships that facilitate stakeholder discussions.

Further information:

Practitioners
  • Ensure operations reduce FLW at all stages of the supply chain; consider using the Food Loss and Waste Protocol.
  • Set ambitious targets to reduce FLW, reevaluate them regularly, and use thorough measurements that capture FLW, associated GHG emissions, and financial data.
  • Take advantage of extension services and financial incentives such as tax rebates and subsidies that promote FLW reduction strategies.
  • Work with policymakers, peers, and industry leaders to standardize date labeling.
  • Promote cosmetically imperfect food through marketing, discounts, or offtake agreements.
  • Utilize behavior change mechanisms such as signage saying “eat what you take,” offer smaller portion sizes, use smaller plates for servings, and visibly post information on the impact of FLW and best practices for prevention.
  • Engage with frontline workers to identify and remedy FLW.
  • Institute warehouse receipt systems and tracking techniques.
  • Use tested storage devices and facilities such as hermetic bags and metal silos.
  • Utilize Integrated pest management (IPM) during both pre- and post-harvest stages.
  • Create, support, or join education campaigns and/or public-private partnerships that facilitate stakeholder discussions.

Further information:

Business Leaders
  • Ensure procurement uses strategies to reduce FLW at all stages of the supply chain; consider using the Food Loss and Waste Protocol.
  • Set ambitious targets to reduce FLW, reevaluate them regularly, and use thorough measurements that capture FLW, associated GHG emissions, and financial data.
  • Utilize or work with companies that utilize efficient growing practices, harvesting methods, and storage technologies that reduce FLW.
  • Enter into offtake agreements for diverted food initiatives.
  • Promote cosmetically imperfect food through marketing, discounts, or offtake agreements.
  • Work with policymakers and industry peers to standardize date labeling and advocate for bans on food waste in landfills.
  • Appoint a senior executive responsible for FLW goals and ensure they have the resources and authority for effective implementation.
  • Utilize behavior change mechanisms such as signage saying, “eat what you take,” offer smaller portion sizes, use smaller plates for servings, and visibly post information on the impact of FLW and best practices for prevention.
  • Engage with frontline workers to identify and remedy FLW.
  • Institute warehouse receipt systems and tracking techniques.
  • Fund research or startups that aim to improve monitoring technologies, food storage, packaging materials, stocking practices, and resilient crop varieties.
  • Create, support, or join education campaigns and/or public-private partnerships that facilitate stakeholder discussions.

Further information:

Nonprofit Leaders
  • Ensure procurement uses strategies to reduce FLW at all stages of the supply chain; consider using the Food Loss and Waste Protocol.
  • Advocate for bans on food waste in landfills.
  • Work with policymakers and industry leaders to standardize date labeling.
  • Help food and agricultural companies use efficient growing practices, harvesting methods, and storage technologies that reduce FLW.
  • Advocate for financial instruments such as taxes, subsidies, or exemptions to support infrastructure, technology, and enforcement.
  • Use cosmetically imperfect and diverted food for food banks.
  • Help companies track and report FLW and monitor goals, and offer input for improvement.
  • Help transfer capacity, knowledge, and infrastructure to support FLW management in low- and middle-income communities.
  • Create, support, or join education campaigns and/or public-private partnerships that facilitate stakeholder discussions.

Further information:

Investors
  • Ensure portfolio companies and company procurement use strategies to reduce FLW at all stages of the supply chain; consider using the Food Loss and Waste Protocol.
  • Require portfolio companies to measure and report on FLW GHG emissions.
  • Fund startups which aim to improve monitoring technologies, food storage, packaging materials, stocking practices, and resilient crop varieties.
  • Offer financial services, notably rural financial market development, including low-interest loans, micro-financing, and grants to support FLW prevention initiatives.
  • Create, support, or join education campaigns and/or public-private partnerships, such as the Food Waste Funder Circle, that facilitate stakeholder discussions.

Further information:

Philanthropists and International Aid Agencies
  • Ensure procurement uses strategies to reduce FLW at all stages of the supply chain; consider using the Food Loss and Waste Protocol.
  • Advocate for bans on food waste in landfills.
  • Work with policymakers and industry leaders to standardize date labeling.
  • Help food and agricultural companies use efficient growing practices, harvesting methods, and storage technologies that reduce FLW.
  • Advocate for financial instruments such as taxes, subsidies, or exemptions to support infrastructure, technology, and enforcement.
  • Use cosmetically imperfect and diverted food for food banks.
  • Help companies tracking and report FLW and monitor goals, and offer input for improvement.
  • Help transfer capacity, knowledge, and infrastructure to support FLW management in low- and middle-income communities.
  • Fund startups that aim to improve monitoring technologies, food storage, packaging materials, stocking practices, and resilient crop varieties.
  • Offer financial services, especially for rural financial market development, including low-interest loans, micro-financing, and grants to support FLW initiatives.
  • Create, support, or join education campaigns and/or public-private partnerships, such as the Food Waste Funder Circle, that facilitate stakeholder discussions.

Further information:

Thought Leaders
  • Adopt behaviors to reduce FLW, including portion control, “eating what you take,” and reducing meat consumption.
  • Advocate for bans on food waste in landfills.
  • Help food and agricultural companies use efficient growing practices, harvesting methods, and storage technologies that reduce FLW.
  • Work with policymakers and industry leaders to standardize date labeling.
  • Advocate for financial instruments such as taxes, subsidies, or exemptions to support infrastructure, technology, and enforcement.
  • Help companies or independent track and report FLW data and emissions.
  • Help transfer capacity, knowledge, and infrastructure to support FLW management in low- and middle-income communities.
  • Create, support, or join education campaigns and/or public-private partnerships that facilitate stakeholder discussions.

Further information:

Technologists and Researchers
  • Research and develop more efficient growing and harvesting practices.
  • Develop new crop varieties to increase land productivity, shelf life, durability during transportation, and resistance to contamination.
  • Improve the efficiency of cold chains for transportation and storage.
  • Design software that can optimize the harvesting, storage, transportation, stocking, and shelf life of produce.
  • Improve data collection on FLW, associated GHG emissions, and financial data across the supply chain.
  • Develop new non-plastic, biodegradable, low-carbon packaging materials.
  • Improve storage devices and facilities such as hermetic bags and metal silos.
  • Research technologies, practices, or nonharmful substances to prolong the lifespan of food.

Further information:

Communities, Households, and Individuals
  • Adopt behaviors to reduce FLW, including portion control, “eating what you take,” and reducing meat consumption.
  • Donate food that won’t be used or, if that’s not possible, use the food for animals or compost.
  • Advocate for bans on food waste in landfills.
  • Advocate for financial instruments such as taxes, subsidies, or exemptions to support infrastructure, technology, and enforcement.
  • Demand transparency around FLW from public and private organizations.
  • Educate yourself and those around you about the impacts and solutions.
  • Create, support, or join education campaigns and/or public-private partnerships that facilitate stakeholder discussions.

Further information:

Sources
Evidence Base

A large volume of scientific research exists regarding reducing emissions of FLW effectively. The IPCC Sixth Assessment Report (AR6) estimates the mitigation potential of FLW reduction (through multiple reduction strategies) to be 2.1 Gt CO₂‑eq/yr (with a range of 0.1–5.8 Gt CO₂‑eq/yr ) (Nabuurs et al., 2022). This accounts for savings along the whole value chain.

Following the 2011 FAO report – which estimated that around one-third (1.3 Gt) of food is lost and wasted worldwide per year – global coordination has prioritized the measurement of the FLW problem. This statistic has served as a baseline for multiple FLW reduction strategies. However, more recent studies suggest that the percentage of FLW may be closer to 40% (WWF, 2021). The median of the studies included in our analysis is 1.75 Gt/yr of FLW (FAO, 2024; Gatto & Chepeliev, 2024; Guo et al., 2020; Porter et al., 2016; UNEP, 2024; WWF, 2021; Zhu et al., 2023), with an annual increasing trend of 2.2%.

Only one study included in our analysis calculated food embodied emissions from all stages of the supply chain, while the rest focused on the primary production stages. Zhu et al. (2023) estimated 6.5 Gt CO₂‑eq/yr arising from the supply chain side, representing 35% of total food system emissions.

When referring to food types, meat and animal products were estimated to emit 3.5 Gt CO₂‑eq/yr compared to 0.12 Gt CO₂‑eq/yr from fruits and vegetables (Zhu et al., 2023). Although meat is emissions-intensive, fruits and vegetables are the most wasted types of food by volume, making up 37% of total FLW by mass (Chen et al., 2020). The consumer stage is associated with the highest share of global emissions at 36% of total supply-embodied emissions from FLW, compared to 10.9% and 11.5% at the retail and wholesale levels, respectively (Zhu et al., 2023). 

While efforts to measure the FLW problem are invaluable, critical gaps exist regarding evidence of the effectiveness of different reduction strategies across supply chain stages ( Cattaneo, 2021; Goossens, 2019; Karl et al., 2025). To facilitate impact assessments and cost-effectiveness, standardized metrics are required to report actual quantities of FLW reduced as well as resulting GHG emissions savings (Food Loss and Waste Protocol, 2024).

The results presented in this document summarize findings across 22 studies. These studies are made up of eight academic reviews and original studies, eight reports from NGOs, and six reports from public and multilateral organizations. This reflects current evidence from five countries, primarily the United States and the United Kingdom. We recognize this limited geographic scope creates bias, and hope this work inspires research for meta-analyses and data sharing on this topic in underrepresented regions and stages of the supply chain.

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Improve Diets

Submitted by Drawdown Admin on
Sector
Food, Agriculture, Land & Ocean (FALO)
Mode
Cut Emissions
Cluster
Curb Growing Demands
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Plates of food
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Summary

Agriculture produces about 12 Gt CO₂‑eq/yr, or 21% of total human-caused GHG emissions (Intergovernmental Panel on Climate Change [IPCC], 2023). Animal agriculture contributes more than half of these emissions (Halpern et al., 2022; Poore and Nemecek, 2018). 

Ruminant animals, such as cattle, sheep, and goats produce methane – a GHG with 80 times the warming potential of CO₂ in the near term – in their digestive system (Jackson et al., 2024). Since agriculture is the leading driver of tropical deforestation, particularly for cattle and animal feed production, reducing ruminant meat consumption can avoid additional forest loss and associated GHG emissions.

We define improved diets as a reduction in ruminant meat consumption and a replacement with other protein-rich foods. Such a diet shift can be adopted incrementally through small behavioral changes that together lead to globally significant reductions in GHG emissions.

Food security,Health,Equality
Nature protection,Land resources,Water resources,Water quality,Air quality
Description for Social and Search
Improve Diets is a Highly Recommended climate solution. Reducing ruminant meat consumption reduces methane production and pressure to destroy tropical forests.
Overview

Reducing ruminant meat consumption, especially in high-consuming regions, has a globally significant potential for climate change mitigation. Ruminants contribute 30% of food-related emissions but generate only 5% of global dietary calories (Li et al., 2024). 

Ruminant animals have digestive systems with multiple chambers that allow them to ferment grass and leaves. However, this digestion generates methane emissions through a process called enteric fermentation. In addition, clearing forests and grasslands for pastures and cropland to feed livestock emits CO₂, and livestock manure emits methane and nitrous oxide. 

In 2019, an international team of scientists called the EAT-Lancet Commission developed benchmarks for a healthy, sustainable diet based on peer-reviewed information on human health and environmental sustainability (Willett et al., 2019). The commission estimated that red meat (beef, lamb, and pork) should be limited to 14 grams (30 calories) per day per person, or 5.1 kg/person/yr. Although the EAT-Lancet diet includes pork, our analysis looked specifically at limiting ruminant meat to 5.1 kg/person/yr because it has much higher GHG emissions than pork (Figure 1).

Figure 1. Greenhouse gas emissions associated with the production of protein-rich foods. Beef has the highest emissions per kilogram. These emissions data are from Poore & Nemecek (2018), with the exception of  "Ruminant meat," which was calculated based on the amount of beef and lamb consumed in 2022. 

Poore, J., &  Nemecek, T. (2018). Reducing food’s environmental impacts through producers and consumers. Science, 360(6392), 987–992.

In this solution, we explored reducing ruminant meat consumption in middle- and high-income countries in which consumption exceeds 5.1 kg/person/yr. Furthermore, our analysis assumed ruminant meat is replaced with approximately the same amount of protein-rich plant- or animal-based foods, which are estimated to be about 20% protein by weight (Poore and Nemecek, 2018).

Bai, Y., Alemu, R., Block, S. A., Headey, D., & Masters, W. A. (2021). Cost and affordability of nutritious diets at retail prices: Evidence from 177 countries. Food policy, 99, Article 101983. Link to source: https://doi.org/10.1016/j.foodpol.2020.101983

Bouvard, V., Loomis, D., Guyton, K. Z., Grosse, Y., Ghissassi, F. E., Benbrahim-Tallaa, L., Guha, N., Mattock, H., & Straif, K. (2015). Carcinogenicity of consumption of red and processed meat. The Lancet Oncology, 16(16), 1599–1600. https://doi.org/10.1016/S1470-2045(15)00444-1 

Bradbury, K. E., Murphy, N., & Key, T. J. (2020). Diet and colorectal cancer in UK Biobank: A prospective study. International Journal of Epidemiology, 49(1), 246–258. Link to source: https://doi.org/10.1093/ije/dyz064 

Casey, J. A., Curriero, F. C., Cosgrove, S. E., Nachman, K. E., & Schwartz, B. S. (2013). High-density livestock operations, crop field application of manure, and risk of community-associated methicillin-resistant Staphylococcus aureus infection in Pennsylvania. JAMA Internal Medicine, 173(21), 1980–1990. Link to source: https://doi.org/10.1001/jamainternmed.2013.10408

Domingo, N. G. G., Balasubramanian, S., Thakrar, S. K., Clark, M. A., Adams, P. J., Marshall, J. D., Muller, N. Z., Pandis, S. N., Polasky, S., Robinson, A. L., Tessum, C. W., & Hill, J. D. (2021). Air quality–related health damages of food. Proceedings of the National Academy of Sciences, 118(20), Article e2013637118. Link to source: https://doi.org/10.1073/pnas.2013637118

Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E. S., Gerber, J. S., Johnston, M., Mueller, N. D., O’Connell, C., Ray, D. K., West, P. C., Balzer, C., Bennett, E. M., Carpenter, S. R., Hill, J., Monfreda, C., Polasky, S., Rockström, J., Sheehan, J., Siebert, S., ... Zaks, D. P. M. (2011). Solutions for a cultivated planet. Nature, 478, 337–342. Link to source: https://doi.org/10.1038/nature10452

Food and Agriculture Organization of the United Nations (FAO). (2025). FAO‑FAOSTAT: Food balances (2010-) [Data set]. Food balances for individual countries for the year 2022 (most recent year available). Retrieved March 25, 2025, from Link to source: https://www.fao.org/faostat/en/#data/FBS

Food and Agriculture Organization of the United Nations (FAO). (2023). Low-Income Food-Deficit Countries (LIFDCs) - List updated June 2023. Retrieved March 25, 2025, from Link to source: https://www.fao.org/member-countries/lifdc/en 

Food and Agriculture Organization of the United Nations (FAO). (2017). Livestock solutions for climate change [Technical paper]. Link to source: https://www.fao.org/family-farming/detail/en/c/1634679/

Gerber, P. J., Steinfeld, H., Henderson, B., Mottet, A., Opio, C., Dijkman, J., Falcucci, A., & Tempio, G. (2013). Tackling climate change through livestock: A global assessment of emissions and mitigation opportunities [Report]. Food and Agriculture Organization of the United Nations. Link to source: https://www.fao.org/4/i3437e/i3437e00.htm 

Godfray, H. C. J., Aveyard, P., Garnett, T., Hall, J. W., Key, T. J., Lorimer, J., Pierrehumbert, R. T., Scarborough, P., Springmann, M., & Jebb, S. A. (2018). Meat consumption, health, and the environment. Science, 361(6399), Article eaam5324. Link to source: https://doi.org/10.1126/science.aam5324

Gupta, S., Vemireddy, V., Singh, D. K., & Pingali, P. (2021). Ground truthing the cost of achieving the EAT lancet recommended diets: Evidence from rural India. Global Food Security, 28, Article 100498. Link to source: https://doi.org/10.1016/j.gfs.2021.100498

Halpern, B. S., Frazier, M., Verstaen, J., Rayner, P.-E., Clawson, G., Blanchard, J. L., Cottrell, R. S., Froehlich, H. E., Gephart, J. A., Jacobsen, N. S., Kuempel, C. D., McIntyre, P. B., Metian, M., Moran, D., Nash, K. L., Többen, J., & Williams, D. R. (2022). The environmental footprint of global food production. Nature Sustainability, 5, 1027–1039. Link to source: https://doi.org/10.1038/s41893-022-00965-x 

Harter, T., Lund, J. R., Darby, J., Fogg, G. E., Howitt, R., Jessoe, K. K., Pettygrove, G. S., Quinn, J. F., Viers, J. H., Boyle, D. B., Canada, H. E., De La Mora, N., Dzurella, K. N., Fryjoff-Hung, A., Hollander, A. D., Honeycutt, K. L., Jenkins, M. W., Jensen, V. B., King, A. M., ... Rosenstock, T. S. (2012). Addressing nitrate in California’s drinking water with a focus on Tulare Lake Basin and Salinas Valley groundwater [Report]. Center for Watershed Sciences, University of California. Link to source: https://ucanr.edu/sites/default/files/2012-03/138956.pdf 

Heederik, D., Sigsgaard, T., Thorne, P. S., Kline, J. N., Avery, R., Bønløkke, J. H., Chrischilles, E. A., Dosman, J. A., Duchaine, C., Kirkhorn, S. R., Kulhanková, K., & Merchant, J. A. (2007). Health effects of airborne exposures from concentrated animal feeding operations. Environmental Health Perspectives, 115(2), 298–302. Link to source: https://doi.org/10.1289/ehp.8835

Herrero, M., Henderson, B., Havlík, P., Thornton, P. K., Conant, R. T., Smith, P., Wirsenius, S., Hristov, A. N., Gerber, P., Gill, M., Butterbach-Bahl, K., Valin, H., Garnett, T., & Stehfest, E. (2016). Greenhouse gas mitigation potentials in the livestock sector. Nature Climate Change, 6(5), 452–461. Link to source: https://doi.org/10.1038/nclimate2925 

Hirvonen, K., Bai, Y., Headey, D., & Masters, W. A. (2020). Affordability of the EAT–Lancet reference diet: A global analysis. The Lancet Global Health, 8(1), e59–e66. Link to source: https://doi.org/10.1016/S2214-109X(19)30447-4 

Intergovernmental Panel on Climate Change. (2023). Climate change 2023: Synthesis report. Contribution of working groups I, II and III to the sixth assessment report of the intergovernmental panel on climate change [Core Writing Team, H. Lee, & J. Romero (Eds.)]. Link to source: https://doi.org/10.59327/IPCC/AR6-9789291691647 

Jackson, R. B., Saunois, M., Martinez, A., Canadell, J. G., Yu, X., Li, M., Poulter, B., Raymond, P. A., Regnier, P., Ciais, P., Davis, S. J., & Patra, P. K. (2024). Human activities now fuel two-thirds of global methane emissions. Environmental Research Letters, 19(10), Article 101002. Link to source: https://doi.org/10.1088/1748-9326/ad6463

Kaluza, J., Wolk, A., & Larsson, S. C. (2012). Red meat consumption and risk of stroke: A meta-analysis of prospective studies. Stroke, 43(10), 2556–2560. Link to source: https://doi.org/10.1161/STROKEAHA.112.663286

Katare, B., Wang, H. H., Lawing, J., Hao, N., Park, T., & Wetzstein, M. (2020). Toward optimal meat consumption. American Journal of Agricultural Economics, 102(2), 662–680. Link to source: https://doi.org/10.1002/ajae.12016 

Kim, B. F., Santo, R. E., Scatterday, A. P., Fry, J. P., Synk, C. M., Cebron, S. R., Mekonnen, M. M., Hoekstra, A. Y., de Pee, S., Bloem, M. W., Neff, R. A., & Nachman, K. E. (2020). Country-specific dietary shifts to mitigate climate and water crises. Global Environmental Change, 62, Article 101926. Link to source: https://doi.org/10.1016/j.gloenvcha.2019.05.010 

Li, M., Wang, Y., Zhao, S., Chen, W., Liu, Y., Zheng, H., Sun, Z., He, P., Li, R., Zhang, S., Xing, P., & Li., Q. (2024). Improving the affordability and reducing greenhouse gas emissions of the EAT-Lancet diet in China. Sustainable Production and Consumption, 52, 445–457. Link to source: https://doi.org/10.1016/j.spc.2024.11.014

Li, Y., He, P., Shan, Y., Li, Y., Hang, Y., Shao, S., Ruzzenenti, F., & Hubacek, K. (2024). Reducing climate change impacts from the global food system through diet shifts. Nature Climate Change, 14(9), 943–953. Link to source: https://doi.org/10.1038/s41558-024-02084-1

Mariotti, F., & Gardner, C. D. (2019). Dietary protein and amino acids in vegetarian diets—A review. Nutrients, 11(11), Article 2661. Link to source: https://doi.org/10.3390/nu11112661

Mbow, C., Rosenzweig, C., Barioni, L. G., Benton, T. G., Herrero, M., Krishnapillai, M., Liwenga, E., Pradhan, P., Rivera-Ferre, M. G., Sapkota, T., Tubiello, F. N., & Xu, Y. (2019). Food security. In P. R. Shukla, J. Skea, E. Calvo Buendia, V. Masson-Delmotte, H.-O. Pörtner, D. C. Roberts, P. Zhai, R. Slade, S. Connors, R. van Diemen, M. Ferrat, E. Haughey, S. Luz, S. Neogi, M. Pathak, J. Petzold, J. Portugal Pereira, P. Vyas, E. Huntley, K. Kissick, M. Belkacemi, & J. Malley (Eds.), Climate change and land: An IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems (pp. 437–550). Cambridge University Press. Link to source: https://doi.org/10.1017/9781009157988.007

Meier, T., & Christen, O. (2013). Environmental impacts of dietary recommendations and dietary styles: Germany as an example. Environmental Science & Technology, 47(2), 877–888. Link to source: https://doi.org/10.1021/es302152v

Nelson, M. E., Hamm, M. W., Hu, F. B., Abrams, S. A., & Griffin, T. S. (2016). Alignment of healthy dietary patterns and environmental sustainability: A systematic review. Advances in Nutrition, 7(6), 1005–1025. Link to source: https://doi.org/10.3945/an.116.012567

Nijdam, D., Rood, T., & Westhoek, H. (2012). The price of protein: Review of land use and carbon footprints from life cycle assessments of animal food products and their substitutes. Food Policy, 37(6), 760–770. Link to source: https://doi.org/10.1016/j.foodpol.2012.08.002

Norwood, F. B., & Lusk, J. L. (2011). Compassion, by the pound: The economics of farm animal welfare. Oxford University Press. Link to source: https://global.oup.com/academic/product/compassion-by-the-pound-9780199551163?cc=ca&lang=en& 

Pan, A., Sun, Q., Bernstein, A. M., Schulze, M. B., Manson, J. E., Willett, W. C., & Hu, F. B. (2011). Red meat consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis. The American Journal of Clinical Nutrition, 94(4), 1088–1096. Link to source: https://doi.org/10.3945/ajcn.111.018978

Pan, A., Sun, Q., Bernstein, A. M., Schulze, M. B., Manson, J. E., Stampher, M. J., Willett, W. C., & Hu, F. B. (2012). Red meat consumption and mortality: Results from 2 prospective cohort studies. Archives of Internal Medicine, 172(7), 555–563. Link to source: https://doi.org/10.1001/archinternmed.2011.2287

Pimentel, D., & Pimentel, M. (2003). Sustainability of meat-based and plant-based diets and the environment. The American Journal of Clinical Nutrition, 78(3), 660S–663S. Link to source: https://doi.org/10.1093/ajcn/78.3.660S

Poore, J., & Nemecek, T. (2018) Reducing food’s environmental impacts through producers and consumers. Science, 360(6392), 987–992. Link to source: https://doi.org/10.1126/science.aaq0216

Porter, S., & Cox, C. (2020, May 28). Manure overload: Manure plus fertilizer overwhelms Minnesota’s land and water. Environmental Working Group. Link to source: https://www.ewg.org/interactive-maps/2020-manure-overload/

Ripple, W. J., Smith, P., Haberl, H., Montzka, S. A., McAlpine, C., & Boucher, D. H. (2014a). Ruminants, climate change and climate policy. Nature Climate Change, 4(1), 2–5. Link to source: https://doi.org/10.1038/nclimate2081

Ripple, W. J., Estes, J. A., Beschta, R. L., Wilmers, C. C., Ritchie, E. G., Hebblewhite, M., Berger, J., Elmhagen, B., Letnic, M., Nelson, M. P., Schmitz, O. J., Smith, D. W., Wallach, A. D., & Wirsing, A. J. (2014b). Status and ecological effects of the world’s largest carnivores. Science, 343(6167), Article 1241484. Link to source: https://doi.org/10.1126/science.1241484

Ripple, W. J., Newsome, T. M., Wolf, C., Dirzo, R., Everatt, K. T., Galetti, M., Hayward, M. W., Kerley, G. I. H., Levi, T., Lindsey, P. A., Macdonald, D. W., Malhi, Y., Painter, L. E., Sandom, C. J., Terborgh, J., & Van Valkenburgh, B. (2015). Collapse of the world’s largest herbivores. Science Advances, 1(4), Article e1400103. Link to source: https://doi.org/10.1126/sciadv.1400103

Searchinger, T., Waite, R., Hanson, C., Ranganathan, J., Dumas, P., Matthews, E., & Klirs, C. (2019). Creating a sustainable food future: A menu of solutions to feed nearly 10 billion people by 2050 [Report]. World Resources Institute. Link to source: https://research.wri.org/wrr-food

Sinha, R., Cross, A. J., Graubard, B. I., Leitzmann, M. F., & Schatzkin, A. (2009). Meat intake and mortality: A prospective study of over half a million people. Archives of Internal Medicine, 169(6), 562–571. Link to source: https://doi.org/10.1001/archinternmed.2009.6

Springmann, M., Clark, M. A., Rayner, M., Scarborough, P., & Webb, P. (2021). The global and regional costs of healthy and sustainable dietary patterns: A modelling study. The Lancet Planetary Health, 5(11), e797–e807. Link to source: https://doi.org/10.1016/S2542-5196(21)00251-5 

Steinfeld, H., Gerber, P., Wassenaar, T., Castel, V., Rosales, M., & de Haan, C. (2006). Livestock’s long shadow: Environmental issues and options [Report]. Food and Agriculture Organization of the United Nations. Link to source: https://www.fao.org/4/a0701e/a0701e00.htm 

Sun, J., Liao, X.-P., D’Souza, A. W., Boolchandani, M., Li, S.-H., Cheng, K., Luis Martínez, J., Li, L., Feng, Y.-J., Fang, L.-X., Huang, T., Xia, J., Yu, Y., Zhou, Y.-F., Sun, Y.-X., Deng, X.-B., Zeng, Z.-L., Jiang, H.-X., Fang, B.-H., … Liu, Y.-H. (2020). Environmental remodeling of human gut microbiota and antibiotic resistome in livestock farms. Nature Communications, 11(1), Article 1427. Link to source: https://doi.org/10.1038/s41467-020-15222-y

Tang, K. L., Caffrey, N. P., Nóbrega, D. B., Cork, S. C., Ronksley, P. E., Barkema, H. W., Polachek, A. J., Ganshorn, H., Sharma, N., Kellner, J. D., & Ghali, W. A. (2017). Restricting the use of antibiotics in food-producing animals and its associations with antibiotic resistance in food-producing animals and human beings: A systematic review and meta-analysis. The Lancet Planetary Health, 1(8), e316–e327. Link to source: https://doi.org/10.1016/S2542-5196(17)30141-9

Toumpanakis, A., Turnbull, T., & Alba-Barba, I. (2018). Effectiveness of plant-based diets in promoting well-being in the management of type 2 diabetes: A systematic review. BMJ Open Diabetes Research & Care, 6(1), Article e000534. Link to source: https://doi.org/10.1136/bmjdrc-2018-000534

Van Boeckel, T. P., Brower, C., Gilbert, M., Grenfell, B. T., Levin, S. A., Robinson, T. P., Teillant, A., & Laxminarayan, R. (2015). Global trends in antimicrobial use in food animals. Proceedings of the National Academy of Sciences, 112(18), 5649–5654. Link to source: https://doi.org/10.1073/pnas.1503141112 

Vergnaud, A.-C., Norat, T., Romaguera, D., Mouw, T., May, A. M., Travier, N., Luan, J., Wareham, N., Slimani, N., Rinaldi, S., Couto, E., Clavel-Chapelon, F., Boutron-Ruault, M.-C., Cottet, V., Palli, D., Agnoli, C., Panico, S., Tumino, R., Vineis, P., … Peeters, P. H. M. (2010). Meat consumption and prospective weight change in participants of the EPIC-PANACEA study. The American Journal of Clinical Nutrition, 92(2), 398–407. Link to source: https://doi.org/10.3945/ajcn.2009.28713

Westhoek, H., Lesschen, J. P., Rood, T., Wagner, S., De Marco, A., Murphy-Bokern, D., Leip, A., van Grinsven, H., Sutton, M. A., & Oenema, O. (2014). Food choices, health and environment: Effects of cutting Europe’s meat and dairy intake. Global Environmental Change, 26, 196–205. Link to source: https://doi.org/10.1016/j.gloenvcha.2014.02.004

Willett, W., Rockström, J., Loken, B., Springmann, M., Lang, T., Vermeulen, S., Garnett, T., Tilman, D., DeClerck, F., Wood, A., Jonell, M., Clark, M., Gordon, L. J., Fanzo, J., Hawkes, C., Zurayk, R., Rivera, J. A., De Vries, W., Majele Sibanda, L., ... Murray, C. J. L. (2019). Food in the Anthropocene: The EAT–Lancet Commission on healthy diets from sustainable food systems. The Lancet, 393(10170), 447–492. Link to source: https://doi.org/10.1016/s0140-6736(18)31788-4

Willits-Smith, A., Odinga, H., O’Malley, K., & Rose, D. (2023). Demographic and socioeconomic correlates of disproportionate beef consumption among US adults in an age of global warming. Nutrients, 15(17), Article 3795. Link to source: https://doi.org/10.3390/nu15173795 

Credits

Lead Fellows

  • Emily Cassidy

Contributors

  • Ruthie Burrows, Ph.D.
  • James Gerber, Ph.D.
  • Daniel Jasper
  • Alex Sweeney

Internal Reviewers

  • Paul C. West, Ph.D.
  • James Gerber, Ph.D.
  • Megan Matthews, Ph.D
  • Ted Otte
Effectiveness

We estimated that replacing 1 kg of ruminant meat with the same weight of other meat or protein-rich food reduces emissions by about 0.065 t CO₂‑eq (100-yr basis). 

We derived GHG emissions from 1 kg of ruminant meat, 0.075 t CO₂‑eq (100-yr basis), from Poore and Nemecek’s (2018) database and modeling from Kim et al. (2020). Our calculation was based on the GHG footprint of a kg of meat from beef cattle, dairy cattle, and sheep. We weighted the average GHG footprint based on the fact that beef makes up the majority (83%) of ruminant meat consumption, with sheep meat making up a smaller proportion (17%), according to data from the United Nations’ Food and Agriculture Organization (FAO) Food Balances (FAO, 2025).

From Poore and Nemecek’s database, we also derived the average GHG emissions from consuming 1 kg of other protein-rich foods in place of ruminant meat. These foods were: pig meat (pork), poultry meat, eggs, fish (farmed), crustaceans (farmed), peas, other pulses, groundnuts, nuts, and tofu, which are all around 20% protein by weight. Using FAO data on food availability in 2022 as a proxy for consumption, we calculated that the weighted average of these substitutes is 0.01 t CO₂‑eq /kg. 

We subtracted the weighted average emissions of these protein-rich foods (0.01 t CO₂‑eq /kg) from the weighted average emissions from ruminant meat production (0.075 t CO₂‑eq /kg) to calculate the emissions savings (0.065 t CO₂‑eq /kg) (Table 1). Our analysis assumed that substituting a serving of plant- or animal-based protein for ruminant meat reduces the production of that meat (see Caveats). 

Kim et al. (2020) did not provide species-specific emissions, but we assumed that for ruminant meat, the breakdown of CO₂, nitrous oxide, and methane was the same as in Poore and Nemecek (2018) – 43% methane and 57% CO₂ and nitrous oxide. 

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Table 1. Effectiveness at reducing emissions.

Unit: t CO₂‑eq /kg avoided ruminant meat

Mean (weighted average) 0.065

Unit: t CO₂‑eq /kg avoided ruminant meat

Mean (weighted average) 0.13
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Cost

Based on our analysis, the average cost of 1 kg of ruminant meat was US$21.29 compared with the weighted average US$20.73 for other protein-rich foods. This resulted in a savings of US$0.56/kg of food. This translates to an estimated savings of US$8.54/t CO₂ eq (Table 2).

Since the publication of the EAT-Lancet Commission's dietary benchmarks, several studies have been published on the affordability of shifting to the diet (Gupta et al., 2021; Hirvonen et al., 2020; Li et al., 2024; Springmann et al., 2021). Research findings have been mixed on whether this diet shift reduces costs for consumers. One modeling study found that while the diet may cost less in upper-middle-income to high-income countries, on average, it may be more expensive in lower-middle-income to low-income countries (Springmann et al., 2021). 

As opposed to the EAT-Lancet commission, our analysis focused solely on the shift from ruminant meat toward other protein-rich foods, which doesn’t include other dietary shifts, such as reducing other kinds of meat, reducing dairy, or increasing fruits and vegetables. We found no published evidence on the economic impacts of the shift away from ruminant meat alone. However, we used data from Bai et al. (2020), which used food price data from the World Bank’s International Comparison Program (ICP) (2011), to estimate cost differences between ruminant meat and substitutes.

We converted these prices into 2023 US$ and calculated a weighted average cost of food substitutes, based on food availability from the FAO Food Balances (2025). 

The limited information used for this estimate can create bias, and we hope this work inspires research and data sharing on the economic impact of reduced ruminant consumption.

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Table 2. Cost per unit climate impact. Negative values reflect cost savings.

Unit: 2023 US$/t CO₂‑eq , 100-year basis

Mean -8.54
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Learning Curve

Improve Diets does not have a learning curve associated with falling costs of adoption. This solution does not address synthetically derived animal products, such as lab-grown meat, which could serve as replacements for ruminant meat. See Advance Cultivated Meat for more information

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Speed of Action

Speed of action refers to how quickly a climate solution physically affects the atmosphere after it is deployed. This is different from speed of deployment, which is the pace at which solutions are adopted.

At Project Drawdown, we define the speed of action for each climate solution as emergency brake, gradual, or delayed.

Improve Diets is an EMERGENCY BRAKE climate solution. It has the potential to deliver a more rapid impact than nominal and delayed solutions. The impact of this solution is two-fold: first, it reduces methane from enteric fermentation and manure management. Second, the solution reduces pressure on natural ecosystems, reducing deforestation and other land use changes, which create a large, sudden “pulse” of CO₂ emissions.

Because emergency brake solutions can deliver their climate benefits quickly, they can help accelerate our efforts to address dangerous levels of climate change. For this reason, they are a high priority.

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Caveats

We did not include Low-Income Food-Deficit countries (FAO, 2023) in this analysis because the solution does not apply to people who do not have access to affordable and healthy alternatives to ruminant meat or those with micronutrient deficiencies. 

Although some amino acids, which are building blocks of protein, are present in lower-than-optimal proportions for human needs in some plant-based foods, mixing plant protein sources, as is typically done in vegetarian diets, can address deficiencies (Mariotti & Gardner, 2019).

Additionality is a concern for this solution. While ruminant meat consumption in middle- to high-income countries remained fairly stable between 2010 and 2022, some high-income countries have recently started reducing their ruminant consumption (see Adoption Trends). However, it’s difficult to determine current adoption and trends from national-level statistics, which average out low and high consumers within a country.

Another consideration is that the decision to eat less ruminant meat will ultimately lead farmers to produce fewer ruminant animals, but the substitution may not be one-to-one. For example, one modeling study found that cutting beef consumption by 1 kg may only reduce beef production by 0.7 kg (Norwood & Lusk, 2011).

Humans use more land for animal agriculture than for any other activity. However, the potential to remove and store carbon from the atmosphere by freeing up the land used in food production, as estimated by Mbow et al. (2019), was not included in this analysis.

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Current Adoption

Household-level data on food consumption are limited and not often comparable. In this analysis, we summarized current levels of food consumption on a national level, based on data on food availability from FAO Food Balances (2025). Because the data are averaged at a country level, we couldn’t estimate the current level of adoption for individuals of reduced ruminant meat consumption or the EAT-Lancet diet. 

The EAT-Lancet recommended threshold of 5.1 kg of ruminant meat per person per year is in edible, retail weight. However, available data on per capita food availability from the FAO Food Balances is measured in carcass weight, which, for beef cattle, is about 1.4 times larger than a retail cut of meat. Therefore, in this analysis, we set the threshold of excess consumption in the Food Balances as greater than 7.2 kg carcass weight per person per year, which is 5.1 kg of retail ruminant meat per person per year.

In 110 of the 146 countries tracked by FAO, average annual consumption was more than 5.1 kg of ruminant meat per person per year. Some of the highest consuming nations include Mongolia (70.1 kg/person/yr), Argentina (33.3 kg/person/yr), the United States (27.5 kg/person/yr), Australia (25.3 kg/person/yr), and Brazil (25 kg/person/yr). 

The 36 high- and middle-income countries with low (<5.1 kg/person/year) ruminant meat consumption include India (2 kg/person/yr), Peru (3.6 kg/person/yr), Poland (0.2 kg/person/yr), Vietnam (3.9 kg/person/yr), and Indonesia (2.4 kg/person/yr). 

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Adoption Trend

Ruminant meat consumption in high- and middle-income countries remained fairly stable between 2010 and 2022, according to data from FAO’s Food Balances, increasing only 3% overall from 8.2 to 8.5 kg/person/yr.

However, per capita ruminant meat consumption across high-consuming regions (the Americas, Europe, and Oceania) decreased. Consumption in South America and North America declined by 13% and 2%, respectively. Europe and Oceania saw the greatest declines, at 18% and 38%, respectively.

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Adoption Ceiling

The adoption ceiling for this solution is the amount of total ruminant meat consumption across all 146 high- and middle-income countries tracked by the FAO. In 2022, the consumption of ruminant meat totaled 81.2 billion kg (Table 3).

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Table 3. Adoption ceiling.

Unit: kg avoided ruminant meat/yr

Estimate 81,200,000,000
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Achievable Adoption

If all of the 110 countries consuming more than the EAT-Lancet recommendation cut consumption to 5.1 kg/person/yr (which is about an 85 g serving of ruminant meat every six days), that would lower annual global ruminant meat consumption by about half (53%), or 42.9 billion kg/yr. We used this as the estimated high achievable adoption value. The low achievable adoption value we estimated to be half of this reduction (26%), or 21.4 billion kg/yr (Table 4). 

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Table 4. Range of achievable adoption levels.

Unit: kg avoided ruminant meat/yr

Current adoption Not Determined
Achievable – low 21,400,000,000
Achievable – high 42,900,000,000
Adoption ceiling 81,200,000,000
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Improving diets by reducing ruminant meat consumption globally could mitigate emissions by 1.4–5.3 Gt CO₂‑eq/yr (Table 5). 

Therefore, reducing ruminant meat consumption and replacing it with any other form of plant or animal protein can have a substantial impact on GHG emissions. Such a diet shift can be adopted incrementally with small behavioral changes that together lead to globally significant reductions in GHG emissions.

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Table 5. Climate impact at different levels of adoption.

Unit: Gt CO₂‑eq/yr

Current adoption Not Determined
Achievable – low 1.40
Achievable – high 2.80
Adoption ceiling 5.30

Unit: Gt CO₂‑eq/yr

Current adoption Not Determined
Achievable – low 2.88
Achievable – high 5.76
Adoption ceiling 10.90
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Additional Benefits

Food Security

Reducing ruminant meat in diets of high-income countries can improve food security (Searchinger et al., 2019). Productive cropland that is used to grow animal feed could instead be used to produce food for human consumption (Ripple et al., 2014a).

Health

Reducing ruminant meat consumption has multiple health benefits. Diets high in red meat have been linked to increased risk of overall mortality and mortality from cancer (Pan et al., 2012; Sinha et al., 2009). Excess red meat consumption is also associated with increased risk of cardiovascular disease, stroke, type 2 diabetes, colorectal cancer, and weight gain (Bouvard et al., 2015; Bradbury et al., 2020; Kaluza et al., 2012; Pan et al., 2011; Vergnaud et al., 2010). Diets that incorporate other sources of protein such as fish, poultry, nuts, legumes, low-fat dairy, and whole grains are associated with a lower risk of mortality and a reduction in dietary saturated fat, and can improve the management of diabetes (Pan et al., 2012; Nelson et al., 2016; Toumpanakis et al., 2018). 

Reducing demand for meat also has implications for health outcomes associated with livestock production. Animal agriculture, especially industrial and confined feeding operations, commonly uses antibiotics to prevent and treat infections in livestock (Casey et al., 2013). Consistent direct contact with livestock exposes people, especially farmworkers, to antibiotic-resistant bacteria, which can lead to antibiotic-resistant health outcomes (Sun et al., 2020; Tang et al., 2017). Moreover, these exposures are not limited to farmworkers. In fact, a study in Pennsylvania found that people living near dairy/veal and swine industrial agriculture had a higher risk of developing methicillin-resistant Staphylococcus aureus (MRSA) infections (Casey et al., 2013).

Equality

A lower demand for ruminant meat could promote environmental justice by reducing the amount of industrial animal agriculture operations. This may benefit communities near these operations by reducing exposure to air and water pollution, pathogens, and odors (Casey et al., 2013; Heederik et al., 2007; Steinfeld et al., 2006).

Nature Protection

Agricultural expansion for livestock production is a major driver of deforestation (Ripple et al., 2014b). Deforestation is associated with biodiversity loss through habitat degradation and destruction, as well as forest fragmentation (Steinfeld et al., 2006). Livestock farming can reduce the diversity of landscapes and can contribute to the loss of large carnivore, herbivore, and bird species (Ripple et al., 2015; Steinfeld et al., 2006). The clearing of forests for animal agriculture is especially prevalent in the tropics, and a lower demand for meat, particularly ruminant meat, could reduce tropical deforestation (Ripple et al., 2014b).

Land Resources

Animal agriculture, especially ruminants such as cattle, requires a lot of land (Nijdam et al., 2012). Life-cycle analyses have found that beef consistently requires the most land use among animal-based proteins (Nijdam et al., 2012; Meier & Christen, 2013; Searchinger et al., 2019). This high land use is mostly due to the amount of land needed to grow crops that eventually feed livestock (Ripple et al., 2014a). In the European Union, Westhoek et al. (2014) estimated that halving consumption of meat, dairy, and eggs would result in a 23% reduction in per capita cropland use.

Water Resources

While livestock is directly responsible for a small proportion of global water usage, a significant amount of water is required to produce forage and grain for animal feed (Steinfeld et al., 2006). In the United States, livestock production is the largest source of freshwater consumption, and producing 1 kg of animal protein uses 100 times more water than 1 kg of grain protein (Pimentel & Pimentel, 2003). Ruminant meats have some of the highest water usage rates of all animal protein sources (Kim et al., 2020; Searchinger et al., 2019; Steinfed et al., 2006).

Water Quality

Livestock production can contribute to water pollution directly and indirectly through feed production and processing (Steinfeld et al., 2006). Manure contains nutrients such as nitrogen and phosphorus, as well as drug residues, heavy metals, and pathogens (Steinfeld et al., 2006). Manure can pollute water directly from feedlots and can also leach into water sources when used as a fertilizer on croplands (Porter & Cox, 2020). For example, animal agriculture is one of the top polluters of water basins in central California (Harter et al., 2012) 

Air Quality

In addition to CO₂, ruminant agriculture is a source of air pollutants such as methane, nitrous oxides, ammonia, and volatile organic compounds (Gerber et al., 2013). Fertilization of feed crops and deposition of manure on crops are the primary sources of nitrogen emissions from ruminant agriculture (Steinfeld et al., 2006). Air pollution in nearby communities can lead to poor odors and respiratory issues, which may affect stress levels and quality of life (Domingo et al., 2021; Heederik et al., 2007).

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Risks

A total replacement of ruminant meat with other food may reduce food availability in arid climates, where ruminants graze on land not suitable for crop production. 

While the shift from ruminant meat consumption to chicken and pork would curtail some of the demand for animal feed, it would not be reduced as much as a shift from ruminants to plant-based foods. 

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Interactions with Other Solutions

Reinforcing

Pastures for grazing ruminants occupy 3400 million ha of land, more than any other human activity (Foley et al., 2011). Curtailing ruminant consumption can significantly reduce demand for land and facilitate the protection of carbon-rich ecosystems. If the adoption of this solution is aggressive, it could open up opportunities for the restoration of land-based ecosystems and some coastal wetlands.

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This solution increases the supply of food. This makes more raw material available to increase the adoption potential of the following solutions:

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(mixed) Reducing ruminant consumption could lead to less manure production and, therefore, nutrient pollution in proximal and downstream receiving ecosystems. However, if ruminant meat is replaced with food sources that generate more manure or require more fertilizer/pesticides, pollution could increase in proximal or downgradient receiving ecosystems.

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Reducing ruminant meat consumption can reduce the amount of nutrients and manure available to manage, depending on whether it is substituted with plant-based foods or other meat.

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Dashboard

Solution Basics

kg avoided ruminant meat

t CO₂-eq (100-yr)/unit
0.065
units/yr
Current Not Determined 02.14×10¹⁰4.29×10¹⁰
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current Not Determined 1.42.8
US$ per t CO₂-eq
-9
Emergency Brake

CO₂, CH₄ , N₂O

Trade-offs

There are climate and environmental trade-offs associated with the production of different kinds of protein. Producing ruminant meat is land-intensive and contributes to the conversion of natural ecosystems to pasture and animal feed. However, ruminants can live on land that is too dry for crop production and graze on plants not suitable for human consumption. In some low-income food-insecure countries (not included in this analysis), grazing animals may be an important source of protein. 

Substituting ruminant meat with chicken, fish, or other meat can substantially reduce methane emissions, but comes with some environmental and animal welfare trade-offs. 

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kg/person/yr
0-10
10–20
20–30
30–40
> 40

Per capita ruminant meat consumption

Per capita ruminant meat consumption varies greatly around the world. According to the Food and Agriculture Organization of the United Nations (FAO), Mongolia had the highest per-person ruminant meat consumption (99 kg/person/yr) in 2022, followed by Argentina (47 kg/person/yr) and Turkmenistan (46 kg/person/yr).

Food and Agriculture Organization of the United Nations (FAO). (2025). FAO‑FAOSTAT: Food balances (2010–) [Data set, food balances for individual countries for the year 2022]. Retrieved March 25, 2025, from Link to source: https://www.fao.org/faostat/en/#data/FBS

kg/person/yr
0-10
10–20
20–30
30–40
> 40

Per capita ruminant meat consumption

Per capita ruminant meat consumption varies greatly around the world. According to the Food and Agriculture Organization of the United Nations (FAO), Mongolia had the highest per-person ruminant meat consumption (99 kg/person/yr) in 2022, followed by Argentina (47 kg/person/yr) and Turkmenistan (46 kg/person/yr).

Food and Agriculture Organization of the United Nations (FAO). (2025). FAO‑FAOSTAT: Food balances (2010–) [Data set, food balances for individual countries for the year 2022]. Retrieved March 25, 2025, from Link to source: https://www.fao.org/faostat/en/#data/FBS

Maps Introduction

The emissions intensity of beef production varies considerably between countries, due to the contribution of regional deforestation and other land changes (Kim et al. 2020; Poore and Nemecek, 2018) and the intensity of different cattle raising systems, with extensive, pasture-based systems relatively less efficient (in terms of land and CO₂‑eq /kg beef) (Herrero et al. 2016). For example, GHG emissions per kilogram of bovine meat from Brazil and Paraguay were five and 17 times higher, respectively, than those of Danish bovine meat (Kim et al. 2020). These differences were attributable to higher deforestation for grazing lands and methane emissions from enteric fermentation.

Emissions from beef production are skewed by producers with particularly high impacts. About a quarter of beef producers contribute more than 56% (an estimated 1.3 Gt CO₂‑eq ) of all GHGs attributable to beef cattle production.

Beef consumption per person in Mongolia and North and South America is especially high, and reducing it can benefit human health (see Benefits to People & Nature). According to the Food and Agriculture Organization of the United Nations (FAO), Mongolia had the highest per-person ruminant meat consumption (99 kg/person/yr) in 2022, followed by Argentina (47 kg/person/yr) and Turkmenistan (46 kg/person/yr). 

For this analysis, we examined high- and middle-income countries that consume more than 5.1 kg/person/yr of ruminant meat (what we define as “excess consumption”). The United States has more excess ruminant meat consumption than any other country. A 2023 assessment of health survey data found that in the United States, about 12% of the population ate about half of all beef supplies (Willits-Smith et al., 2023).

Maps are based on global average emissions per kg of ruminant meat, which keeps the focus on consumption.

Action Word
Improve
Solution Title
Diets
Classification
Highly Recommended
Lawmakers and Policymakers
  • Use a comprehensive approach to improving diets including both “hard” (e.g., regulations) and “soft” (e.g., educational programs) policies.
  • Ensure public procurement avoids ruminant meat and favors plant-rich diets as the default, especially in schools, hospitals, and cafeterias for public workers.
  • Require companies that sell food to the government to disclose Scope 3 supply-chain emissions and adopt science-based targets, including a no-deforestation commitment.
  • Develop national dietary guidelines based on health and environmental factors; ensure the guidelines are integrated throughout procurement policies, public education programs, and government food aid programs.
  • Establish coordination bodies with stakeholders, such as farmers, distributors, storage facilities, food processors, transportation companies, retail, and waste management services, to design the most optimal policy package.
  • Set ambitious local, national, and international goals and climate plans to improve diets and include the agricultural sector in emissions reduction targets.
  • Establish safety nets for growers, such as access to grants or low-interest capital, reliable access to price information, early warning systems for price fluctuations, and insurance programs.
  • Use financial instruments such as grants, subsidies, or tax exemptions to support farmers, producers, start-ups, infrastructure, and related technology.
  • Reallocate subsidies for ruminant animal agriculture to alternatives; provide extensive support to farmers and ranchers transitioning to more sustainable agriculture systems through financial assistance, buyout programs, and education programs.
  • Remove or reconfigure other subsidies that artificially deflate the price of meat, such as animal feed and manure storage facilities.
  • Require carbon footprint labels on food and produce.
  • Limit or prohibit the expansion of agricultural lands, especially for animal agriculture.
  • Restrict advertising for unhealthy foods and/or require disclosures for health and environmental impacts for adverts.
  • Work with the health-care industry to integrate plant-rich diets into public health programs, and educate the public on the benefits of plant-rich diets.
  • Expand extension services to help food retailers develop plant-based items, design menus, develop marketing materials, and provide other assistance to improve the profitability of plant-rich diets.
  • Implement a carbon tax on livestock or meat products in food-secure areas and ensure there is proper monitoring and enforcement capacity.
  • Use zoning laws to give plant-based and healthy food outlets better visibility or higher traffic locations; designate favorable spaces for plant-based food trucks and street vendors.
  • Create robust educational programs for schools and adults on plant-based and healthy cooking.
  • Create, support, or join education campaigns and/or public-private partnerships that teach the importance of plant-based diets and the environmental impacts of common foods.

Further information:

Practitioners
  • Scale up production of nutrient-dense plant-based foods.
  • Create peer-to-peer networks to exchange best practices and local or industry troubleshooting tips.
  • Increase the visibility of plant-based diets through repetitive ad campaigns, product placement, and displays.
  • Design menus to avoid ruminant meat and center plant-based products.
  • Invest in R&D to improve plant-based products.
  • Develop culturally relevant plant-based products to support acceptance and uptake.
  • Develop mobile or web apps that help consumers plan and cook plant-based meals, find plant-based retailers, and learn about plant-rich diets.
  • Take advantage of financial incentives such as grants, subsidies, or tax exemptions.
  • Participate or help establish coordination bodies with stakeholders, such as farmers, distributors, storage facilities, food processors, transportation companies, retail, and waste management services, to design the most optimal food systems transformation.
  • Work with the health-care industry to integrate plant-rich diets into public health programs, and educate the public on the benefits of plant-rich diets.
  • Use labels to show the environmental and emissions impact of food and menu items.
  • Hold local plant-based culinary challenges to promote products and services.
  • Create, support, or join education campaigns and/or public-private partnerships that promote plant-rich diets.

Further information:

Business Leaders
  • Establish company goals for ruminant substitution and incorporate them into corporate net-zero strategies.
  • Ensure company procurement avoids ruminant meat and favors plant-rich diets as the default.
  • Participate in or help establish coordination bodies with stakeholders, such as farmers, distributors, storage facilities, food processors, transportation companies, retail, and waste management services, to design the most optimal food systems transformation.
  • Take advantage of financial incentives such as grants, subsidies, or tax exemptions.
  • Offer financial services, including low-interest loans, micro-financing, and grants, to support initiatives promoting plant-rich diets.
  • Use labels to show the environmental and emissions impact of food and menu items.
  • Increase the visibility of plant-based diets through repetitive ad campaigns, product placement, and displays.
  • Fund start-ups or existing companies that are improving plant-based proteins and alternatives to animal agriculture.
  • Develop mobile or web apps that help consumers plan and cook plant-based meals, find plant-based retailers, and learn about plant-rich diets.
  • Hold local plant-based culinary challenges to promote products and services.
  • Create, support, or join education campaigns and/or public-private partnerships that promote plant-rich diets.
  • Include ruminant-free and plant-rich dietary support in employee wellness and benefits programs.

Further information:

Nonprofit Leaders
  • Ensure organization procurement avoids ruminant meat and favors plant-rich diets.
  • Help develop and advocate for ambitious local, national, and international goals and climate plans to improve diets.
  • Participate or help establish coordination bodies with stakeholders, such as farmers, distributors, storage facilities, food processors, transportation companies, retail, and waste management services, to design the most optimal food systems transformation.
  • Advocate to reallocate subsidies for ruminant agriculture to plant-based alternatives.
  • Advocate for financial instruments such as taxes, subsidies, or exemptions to support farmers, producers, start-ups, infrastructure, and related technology.
  • Advocate for standardized and mandatory carbon footprint labels on food and produce.
  • Advocate for a carbon tax on livestock or meat products in food-secure areas and ensure there is proper monitoring and enforcement capacity.
  • Offer comprehensive training and technical assistance programs for farmers and producers supporting plant-rich diets.
  • Implement campaigns promoting divestment from major animal agriculture polluters and challenge misleading claims on high-emissions meat products.
  • Work with the health-care industry to integrate plant-rich diets into public health programs, and educate the public on the benefits of plant-rich diets.
  • Create demonstration farms to show local examples, strategies to generate income, and how to use government programs.
  • Create robust educational programs for schools and adults on plant-based and healthy cooking.
  • Hold local plant-based culinary challenges to promote plant-rich diets.
  • Create, support, or join education campaigns and/or public-private partnerships that promote plant-rich diets.

Further information:

Investors
  • Ensure relevant portfolio companies avoid ruminant meat production and support plant-rich diets; avoid investing in animal agriculture in high-income countries or work with them to transition to plant-rich alternatives.
  • Invest in companies developing plant-based foods or technologies that support processing, such as equipment, transportation, and storage.
  • Fund start-ups or existing companies that are improving plant-based proteins and alternatives to animal agriculture.
  • Offer financial services, including low-interest loans, micro-financing, and grants, for plant-based food initiatives.
  • Participate or help establish coordination bodies with stakeholders, such as farmers, distributors, storage facilities, food processors, transportation companies, retail, and waste management services, to design the most optimal food systems transformation.
  • Create, support, or join education campaigns and/or public-private partnerships that promote plant-rich diets.

Further information:

Philanthropists and International Aid Agencies
  • Ensure organization procurement avoids ruminant meat and favors plant-rich diets.
  • Help develop and advocate for ambitious local, national, and international goals and climate plans to improve diets.
  • Participate or help establish coordination bodies with stakeholders, such as farmers, distributors, storage facilities, food processors, transportation companies, retail, and waste management services, to design the most optimal food systems transformation.
  • Invest in companies developing plant-based foods or technologies that support processing, such as equipment, transportation, and storage.
  • Fund start-ups or existing companies that are improving plant-based proteins and alternatives to ruminant animal agriculture.
  • Offer financial services, including low-interest loans, micro-financing, and grants, for plant-based food initiatives.
  • Advocate to reallocate subsidies for animal agriculture to plant-based alternatives.
  • Advocate for financial instruments such as taxes, subsidies, or exemptions to support plant-based farmers, producers, start-ups, infrastructure, and related technology.
  • Advocate for standardized and mandatory environmental impact labels on food and produce.
  • Advocate for a carbon tax on livestock or meat products in food-secure areas and ensure there is proper monitoring and enforcement capacity.
  • Offer comprehensive training and technical assistance programs for farmers and producers supporting plant-rich diets.
  • Create demonstration farms to show local examples, strategies to generate income, and how to use government programs.
  • Create robust educational programs for schools and adults on plant-based and healthy cooking.
  • Work with the health-care industry to integrate plant-rich diets into public health programs and educate the public on the benefits of plant-rich diets.
  • Integrate plant-rich diets with ecosystem protection and restoration efforts such as education campaigns, national plans, and international agreements, when relevant.
  • Create, support, or join education campaigns and/or public-private partnerships that promote plant-rich diets.

Further information:

Thought Leaders
  • Help develop and advocate for ambitious local, national, and international goals and climate plans to improve diets.
  • Participate or help establish coordination bodies with stakeholders, such as farmers, distributors, storage facilities, food processors, transportation companies, retail, and waste management services, to design the most optimal local food systems transformation.
  • Help shift policy and academic goals around agriculture from quantity of outputs to nutritional quality of outputs.
  • Help market and brand plant-based items appealing to average and/or conventional tastes.
  • Find new ways to appeal to high-red-meat consumers and new markets – particularly, men and athletic communities.
  • Highlight the social and environmental impacts of animal-based products in high-income countries.
  • Design and implement robust educational programs for schools and adults on plant-based and healthy cooking.
  • Advocate to reallocate subsidies for animal agriculture to plant-based alternatives.
  • Advocate for financial instruments such as taxes, subsidies, or exemptions to support plant-based farmers, producers, start-ups, infrastructure, and related technology.
  • Advocate for standardized and mandatory carbon footprint labels on food and produce.
  • Create, support, or join education campaigns and/or public-private partnerships that promote plant-rich diets.

Further information:

Technologists and Researchers
  • Research connections between plant-based agriculture and human well-being indicators such as nutrition, income, and human rights.
  • Develop new or improve existing plant-based or lab-grown alternatives to ruminant meat and other animal-based proteins.
  • Develop plant-based proteins that account for local supply chains and cultural preferences.
  • Analyze the full suite of interventions that encourage plant-based diets and offer recommendations to policy and lawmakers on the most effective options.
  • Use market data on food purchases and preferences to improve marketing and attractiveness of plant-based options.
  • Develop mobile or web apps that help consumers plan and cook plant-based meals, find plant-based retailers, and learn about plant-rich diets.
  • Research connections between plant-rich diets, food security, cultural cuisine preferences, and health indicators.
  • Help develop national dietary guidelines based on health and environmental factors.

Further information:

Communities, Households, and Individuals
  • Eat plant-rich diets and avoid ruminant meat as much as possible.
  • Offer alternatives to ruminant meat at social gatherings and request plant-based options at public events.
  • Talk to family, friends, and coworkers about avoiding beef; recommend your favorite restaurants, recipes, and cooking tips.
  • Support educational programs for schools and adults on plant-based and healthy cooking.
  • Advocate to reallocate subsidies for animal agriculture to plant-based alternatives.
  • Advocate for financial instruments such as taxes, subsidies, or exemptions to support plant-based farmers, producers, start-ups, infrastructure, and related technology.
  • Create, support, or join education campaigns and/or public-private partnerships that promote plant-rich diets.

Further information:

Sources
Evidence Base

Consensus of effectiveness in reducing ruminant meat: High

There is a high level of consensus in the scientific literature that shifting diets away from ruminant meat mitigates GHG emissions. An IPCC special report on land found “broad agreement” that meat – particularly ruminant meat – was the single food with the greatest impact on the environment on a global basis, especially in terms of GHG emissions and land use (Mbow et al., 2019). The IPCC found that the range of cumulative emissions mitigation from diet shifts by 2050, depending on the type of shift, was as much as 2.7–6.4 Gt CO₂‑eq/yr. This estimate included shifts away from all meat, whereas our analysis focused on shifting away from ruminant meat alone.

The emissions associated with the production of different food products in this solution came from Poore and Nemecek (2018) and Kim et al. (2020). Poore and Nemecek developed a database of emissions footprints for different foods based on a meta-analysis of 570 studies with a median reference year of 2010 (Figure 1). It covers ~38,700 commercially viable farms in 119 countries and 40 products representing ~90% of global protein and calorie consumption. 

According to Poore and Nemecek (2018), producing 1 kg of beef emits 33 times the GHGs emitted by producing protein-rich plant-based foods, such as beans, nuts, and lentils. But beef can also be replaced with any other non-ruminant meat (poultry, pork, or fish) to cut emissions. Substituting ruminant meat with any other kind of meat reduces average emissions by roughly 85%.

A 2024 study on dietary emissions from 140 food products in 139 countries found that shifting consumption toward the EAT-Lancet guidelines could reduce emissions from the food system 17%, or about 1.94 Gt CO₂‑eq/yr (Li, Y. et al., 2024). 

The results presented in this document summarize findings from 42 studies (34 academic reviews and original studies, three reports from NGOs, and five reports from public and multilateral organizations). The results reflect current evidence from 119 countries, but observations are concentrated in Europe, North America, Oceania, Brazil, and China, and limited in Africa and parts of Asia. We recognize this limited geographic scope creates bias, and hope this work inspires research and data sharing on this topic in underrepresented regions.

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Manage Oil & Gas Methane

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Summary

Oil and gas methane management is the process of reducing methane emissions from oil and gas (O&G) supply chains. These supply chains release methane when pipes and other system parts leak or methane is intentionally vented for operation and safety reasons. We define the Manage Oil & Gas Methane solution as adopting approaches to reduce methane emissions, including fixing leaks in components, upgrading control equipment, changing procedures, and destroying methane by burning methane as a fuel or in flares.

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Manage Oil & Gas Methane is a Highly Recommended climate solution. It reduces methane emissions, and destroying methane by burning methane as a fuel or in flares.
Overview

Methane can be unintentionally released due to imperfections and faults along the supply chain or intentionally released as part of operations and maintenance. Atmospheric methane has a GWP of 81 over a 20-yr time basis and a GWP of 28 over a 100-yr time basis (IPCC, 2023). This means methane is 81 times more effective at trapping heat than CO₂.  Because methane is a short-lived climate pollutant that has a much stronger warming effect than CO₂ over a given time period, abating methane will have a relatively large near-term impact on slowing global climate change (IEA, 2023b).

The first step to reduce methane releases from O&G production is to identify where releases occur along the supply chain. Many occur during O&G extraction as methane is either intentionally vented or unintentionally emitted. The International Energy Agency (IEA, 2024) estimated more than 60% of global energy-related methane emissions originated from the O&G sector in 2023, with the remaining emissions mostly coming from coal use and some bioenergy (Figure 1). The United Nations Environment Programme (UNEP) has formed a transparency and accountability initiative whose members are responsible for 42% of global O&G production. It reported that activities involved in exploration and processing of O&G accounted for 83% of total reported O&G emissions from 2020 to 2023, with production processes being responsible for 90% of those emissions (UNEP 2024). Alvarez et al. (2018) found that in the United States, more than 58% of O&G methane emissions came from production and about 20% came from extraction in 2015. 

Figure 1. Methane emissions (kt) from energy sources (IEA, 2025).

Source: International Energy Agency. (2025). Methane tracker: Data tools. https://www.iea.org/data-and-statistics/data-tools/methane-tracker 

O&G producers can reduce their methane emissions by preventing its release or by converting it to CO₂ through combustion. Strategies for reducing O&G methane emissions can be put into two broad categories (Climate & Clean Air Coalition [CCAC], 2021):

Device conversion, replacement, and installation is the practice of fixing leaks in pipes, valves, compressors, pumps, and other equipment. This can include converting natural gas–powered devices to electric, driving compressors/pneumatics with air instead of natural gas, or replacing emitting components with non-emitting ones (Pembina Institute, 2024).

Changes to operations and maintenance practices seek to reduce the intentional venting of methane. They include eliminating the need for blow-down (releasing gases during the maintenance or operation of pipe infrastructure), reducing venting, and capturing methane before it is released into the atmosphere, then using it as fuel for product refining or burning it to convert it into CO₂.

Leak detection and repair (LDAR) is the practice of regularly monitoring for methane leaks and modifying or replacing leaking equipment. 

Alvarez, R., Zavala-Araiza, D., Lyon, D. R., Allen, D. T., Barkley, Z. B., Brandt, A. R., Davis, K. J., Herndon, S. C., Jacob, D. J., Karion, A., Kort, E. A., Lamb, B. K., Lauvaux, T., Maasakkers, J. D., Marchese, A. J., Omara, M., Pacala, S. W., Peischl, J., Robinson, A. L., Shepson, P. B., Sweeney, C., Townsend-Small, A., Wofsy, S. C., & Hamburg, S. P. (2018). Assessment of methane emissions from the U.S. oil and gas supply chain. Science, 361(6398), 186-188. Link to source: https://doi.org/10.1126/science.aar7204 

Anejionu, O. C., Whyatt, J. D., Blackburn, G. A., & Price, C. S. (2015). Contributions of gas flaring to a global air pollution hotspot: spatial and temporal variations, impacts and alleviation. Atmospheric Environment, 118, 184-193. Link to source: https://doi.org/10.1016/j.atmosenv.2015.08.006 

Beck, C., Rashidbeigi, S., Roelofsen, O., & Speelman, E. (2020). The future is now: how oil and gas companies can decarbonize. McKinsey & Company. Link to source: https://www.mckinsey.com/industries/oil-and-gas/our-insights/the-future-is-now-how-oil-and-gas-companies-can-decarbonize 

Carbon Limits. (2014). Quantifying cost-effectiveness of systematic leak detection and repair program using infrared cameras. Link to source: https://www.catf.us/resource/quantifying-cost-effectiveness-ldar/ 

Clean Air Task Force. (2022). Fossil fumes (2022 update): A public health analysis of toxic air pollution from the oil and gas industry. Link to source: https://www.catf.us/resource/fossil-fumes-public-health-analysis/ 

Climate & Clean Air Coalition. (2021). Global methane assessment: Summary for decision makers. Link to source: https://www.ccacoalition.org/resources/global-methane-assessment-summary-decision-makers 

Climate & Clean Air Coalition. (n.d.). Methane. Retrieved July 19, 2024. Link to source: https://www.ccacoalition.org/short-lived-climate-pollutants/methane#:~:text=While%20methane%20does%20not%20cause,rise%20in%20tropospheric%20ozone%20levels. 

Climateworks Foundation. (2024). Reducing methane emissions on a global scale. Link to source: https://climateworks.org/blog/reducing-methane-emissions-on-a-global-scale/ 

Conrad, B. M., Tyner, D. R., Li, H. Z., Xie, D. & Johnson, M. R. (2023). A measurement-based upstream oil and gas methane inventory for Alberta, Canada reveals higher emissions and different sources than official estimates. Earth & Environment. Link to source: https://doi.org/10.1038/s43247-023-01081-0 

DeFabrizio, S., Glazener, W., Hart, C., Henderson, K., Kar, J., Katz, J., Pratt, M. P., Rogers, M., Ulanov, A., & Tryggestad, C. (2021). Curbing methane emissions: How five industries can counter a major climate threat. McKinsey Sustainability. Link to source: https://www.mckinsey.com/~/media/mckinsey/business%20functions/sustainability/our%20insights/curbing%20methane%20emissions%20how%20five%20industries%20can%20counter%20a%20major%20climate%20threat/curbing-methane-emissions-how-five-industries-can-counter-a-major-climate-threat-v4.pdf 

Dunsky. (2023, July 21). Canada’s methane abatement opportunity. Link to source: https://dunsky.com/project/methane-abatement-opportunities-in-the-oil-gas-extraction-sector/ 

Fawole, O. G., Cai, X. M., & MacKenzie, A. R. (2016). Gas flaring and resultant air pollution: A review focusing on black carbon. Environmental pollution, 216, 182-197. Link to source: https://doi.org/10.1016/j.envpol.2016.05.075 

Fiore, A. M., Jacob, D. J., & Field, B. D. (2002). Linking ozone pollution and climate change: The case for controlling methane. Geophysical Research Letters, 29(19), 182-197. Link to source: https://doi.org/10.1029/2002GL015601 

Giwa, S. O., Nwaokocha, C. N., Kuye, S. I., & Adama, K. O. (2019). Gas flaring attendant impacts of criteria and particulate pollutants: A case of Niger Delta region of Nigeria. Journal of King Saud University-Engineering Sciences, 31(3), 209-217. Link to source: https://doi.org/10.1016/j.jksues.2017.04.003 

Global Energy Monitor (2024). Global Methane Emitters Tracker [Data set, September 2024 release]. Retrieved April 18, 2025 from Link to source: https://globalenergymonitor.org/projects/global-methane-emitters-tracker/ 

Global Methane Initiative (2019). GMI methane data EPA [Data set]. Link to source: https://www.globalmethane.org/methane-emissions-data.aspx 

Global Methane Initiative (2024). 2023 Accomplishments in methane mitigation, recovery, and use through U.S.-supported international efforts. Link to source: https://www.epa.gov/gmi/us-government-global-methane-initiative-accomplishments 

Global Methane Pledge. (n.d.). Global methane pledge. Retrieved August 16, 2024 from Link to source: https://www.globalmethanepledge.org/ 

Guarin, J. R., Jägermeyr, J., Ainsworth, E. A., Oliveira, F. A., Asseng, S., Boote, K., ... & Sharps, K. (2024). Modeling the effects of tropospheric ozone on the growth and yield of global staple crops with DSSAT v4. 8.0. Geoscientific Model Development, 17(7), 2547-2567. Link to source: https://doi.org/10.5194/gmd-17-2547-2024 

Hong, C., Mueller, N. D., Burney, J. A., Zhang, Y., AghaKouchak, A., Moore, F. C., Qin, Y., Tong, D., & Davis, S. J. (2020). Impacts of ozone and climate change on yields of perennial crops in California. Nature Food, 1(3), 166-172. Link to source: https://doi.org/10.1038/s43016-020-0043-8 

ICF International. (2016). Economic analysis of methane emission reduction potential from natural gas systems. https://onefuture.us/wp-content/uploads/2018/05/ONE-Future-MAC-Final-6-1.pdf 

Intergovernmental Panel on Climate Change (IPCC). (2023). In: Climate change 2023: Synthesis report. Contribution of working groups I, II and III to the sixth assessment report of the intergovernmental panel on climate change [core writing team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland, pp. 1-34, doi: 10.59327/IPCC/AR6-9789291691647.001 Link to source: https://www.ipcc.ch/report/ar6/syr/ 

International Energy Agency. (2021). Global methane tracker 2021: Methane abatement and regulation. Link to source: https://www.iea.org/reports/methane-tracker-2021/methane-abatement-and-regulation 

International Energy Agency. (2023a). Financing reductions in oil and gas methane emissions. Link to source: https://www.iea.org/reports/financing-reductions-in-oil-and-gas-methane-emissions 

International Energy Agency. (2023b). Net zero roadmap: A global pathway to keep the 1.5℃ goal in reach - 2023 update. Link to source: https://www.iea.org/reports/net-zero-roadmap-a-global-pathway-to-keep-the-15-0c-goal-in-reach 

International Energy Agency. (2023c). The imperative of cutting methane from fossil fuels. Link to source: https://www.iea.org/reports/the-imperative-of-cutting-methane-from-fossil-fuels 

International Energy Agency. (2023d). World energy outlook 2023. Link to source: https://www.iea.org/reports/world-energy-outlook-2023 

International Energy Agency. (2025). Methane tracker: Data tools. Link to source: https://www.iea.org/data-and-statistics/data-tools/methane-tracker 

Ismail, O. S., & Umukoro, G. E. (2012). Global impact of gas flaring. Energy and Power Engineering, 4(4), 290-302. Link to source: http://dx.doi.org/10.4236/epe.2012.44039 

Johnson, M. R., & Coderre, A. R. (2012). Opportunities for CO2 equivalent emissions reductions via flare and vent mitigation: A case study for Alberta, Canada. International Journal of Greenhouse Gas Control, 8, 121-131. https://doi.org/10.1016/j.ijggc.2012.02.004 

Laan, T., Do, N., Haig, S., Urazova, I., Posada, E., & Wang, H. (2024). Public financial support for renewable power generation and integration in the G20 countries. International Institute for Sustainable Development. Link to source: https://www.iisd.org/system/files/2024-09/renewable-energy-support-g20.pdf 

Malley, C. S., Borgford-Parnell, N. Haeussling, S., Howard, L. C., Lefèvre E. N., & Kuylenstierna J. C. I. (2023). A roadmap to achieve the global methane pledge. Environmental Research: Climate, 2(1). Link to source: https://doi.org/10.1088/2752-5295/acb4b4 

Mar, K. A., Unger, C., Walderdorff, L., & Butler, T. (2022). Beyond CO2 equivalence: The impacts of methane on climate, ecosystems, and health. Environmental Science & Policy, 134, 127-136. Link to source: https://doi.org/10.1016/j.envsci.2022.03.027 

Marks, L. (2022). The abatement cost of methane emissions from natural gas production. Journal of the Association of Environmental and Resource Economists, 9(2). Link to source: https://doi.org/10.1086/716700 

Methane Guiding Principles Partnership. (n.d.). Reducing methane emissions on a global scale. Retrieved August 16, 2024 from Link to source: https://methaneguidingprinciples.org/ 

MethaneSAT. (2024). Solving a crucial climate challenge. Retrieved September 2, 2024, from Link to source: https://www.methanesat.org/satellite/ 

Michanowicz, D. R., Lebel, E. D., Domen, J. K., Hill, L. A. L., Jaeger, J. M., Schiff, J. E., Krieger, E. M., Banan, Z., Goldman, J. S. W., Nordgaard, C. L., & Shonkoff, S. B.C. (2021). Methane and health-damaging air pollutants from the oil and gas sector: Bridging 10 years of scientific understanding. PSE Healthy Energy. Link to source: https://www.psehealthyenergy.org/work/methane-and-health-damaging-air-pollutants-from-oil-and-gas/ 

Mills, G., Sharps, K., Simpson, D., Pleijel, H., Frei, M., Burkey, K., Emberson, L., Cuddling, J., Broberg, M., Feng, Z., Kobayashi, K. & Agrawal, M. (2018). Closing the global ozone yield gap: Quantification and cobenefits for multistress tolerance. Global Change Biology, 24(10), 4869-4893. Link to source: https://doi.org/10.1111/gcb.14381 

Moore, C. W., Zielinska, B., Pétron, G., & Jackson, R. B. (2014). Air impacts of increased natural gas acquisition, processing, and use: A critical review. Environmental Science & Technology, 48(15), 8349–8359. Link to source: https://doi.org/10.1021/es4053472

Motte, J., Alvarenga, R. A., Thybaut, J. W., & Dewulf, J. (2021). Quantification of the global and regional impacts of gas flaring on human health via spatial differentiation. Environmental Pollution, 291, 118213. Link to source: https://doi.org/10.1016/j.envpol.2021.118213 

National Atmospheric and Ocean Agency (2024). Carbon cycle greenhouse gases in CH4. Retrieved July 19, 2024. Link to source: https://gml.noaa.gov/ccgg/trends_ch4/

Ocko, I. B., Sun, T., Shindell, D., Oppenheimer, M. Hristov, A. N., Pacala, S. W., Mauzerall, D. L., Xu, Y. & Hamburg, S. P. (2021). Acting rapidly to deploy readily available methane mitigation measures by sector can immediately slow global warming. Environmental Research, 16(5). Link to source: https://doi.org/10.1088/1748-9326/abf9c8 

Odjugo, P. A. O. & Osemwenkhae, E. J. (2009). Natural gas flaring affects microclimate and reduces maize (Zea mays) yield.. International Journal of Agriculture and Biology, 11(4), 408-412. Link to source: https://www.cabidigitallibrary.org/doi/full/10.5555/20093194660

Oil and Gas Climate Initiative. (2023). Building towards net zero. Link to source: https://www.ogci.com/progress-report/building-towards-net-zero 

Olczak, M., Piebalgs, A., & Balcombe, P. (2023). A global review of methane policies reveals that only 13% of emissions are covered with unclear effectiveness. One Earth, 6(5), 519–535. Link to source: https://doi.org/10.1016/j.oneear.2023.04.009

Pembina Institute. (2024). Comments on environment and climate change Canada’s (ECCC) regulations amending the regulations respecting reduction in the release of methane and certain volatile organic compounds (upstream oil and gas sector). Link to source: https://www.pembina.org/reports/2024-02-joint-methane-submission-eccc.pdf 

Project Drawdown. (2021). Climate solutions at work. Link to source: https://drawdown.org/publications/climate-solutions-at-work 

Project Drawdown. (2022). Legal job function action guide. Link to source: https://drawdown.org/programs/drawdown-labs/job-function-action-guides/legal 

Project Drawdown. (2023). Government relations and public policy job function action guide. Link to source: https://drawdown.org/programs/drawdown-labs/job-function-action-guides/government-relations-and-public-policy 

Project Drawdown. (2024, May 29). Unsung (climate) hero: The business case for curbing methane | presented by Stephan Nicoleau [video]. YouTube. Link to source: https://www.youtube.com/watch?v=Y5y0i-RMfJ0 

Ramya, A., Dhevagi, P., Poornima, R., Avudainayagam, S., Watanabe, M., & Agathokleous, E. (2023). Effect of ozone stress on crop productivity: A threat to food security. Environmental Research, 236(2), 116816. Link to source: https://doi.org/10.1016/j.envres.2023.116816 

Ravikumar, A. P., & Brandt, A. R. (2017). Designing better methane mitigation policies: The challenge of distributed small sources in the natural gas sector. Environmental Research Letters, 12(4), 044023. Link to source: https://doi.org/10.1088/1748-9326/aa6791

Rissman, J. (2021). Benefits of the build back better act’s methane fee. Energy Innovation. Link to source: https://energyinnovation.org/wp-content/uploads/2021/10/Benefits-of-the-Build-Back-Better-Act-Methane-Fee.pdf 

Sampedro, J., Waldhoff, S., Sarofim, M., & Van Dingenen, R. (2023). Marginal damage of methane emissions: Ozone impacts on agriculture. Environmental and Resource Economics, 84(4), 1095-1126. Link to source: https://doi.org/10.1007/s10640-022-00750-6 

Schiffner, D., Kecinski, M., & Mohapatra, S. (2021). An updated look at petroleum well leaks, ineffective policies and the social cost of methane in Canada’s largest oil-producing province. Climatic Change, 164(3-4). Link to source: https://doi.org/10.1007/s10584-021-03044-w

Schmeisser, L., Tecza, A., Huffman, M., Bylsma, S., Delang, M., Stanger, J., Conway, TJ, and Gordon, D. (2024). Fossil Fuel Operations Sector: Oil and Gas Production and Transport Emissions [Data set]. RMI, Climate TRACE Emissions Inventory. Retrieved April 18, 2025, from Link to source: https://climatetrace.org 

Shindell, D., Sadavarte, P., Aben, I., Bredariol, T. O., Dreyfus, G., Höglund-Isaksson, L., Poulter, B., Saunois, M., Schmidt, G. A., Szopa, S., Rentz, K., Parsons, L., Qu, Z., Faluvegi, G., & Maasakkers, J. D. (2024). The methane imperative. Frontiers. Link to source: https://www.frontiersin.org/journals/science/articles/10.3389/fsci.2024.1349770/full

Smith, C., Nicholls, Z. R. J., Armour, K., Collins, W., Forster, P., Meinshausen, M., Palmer, M. D., & Watanabe, M. (2021). The earth’s energy budget, climate feedbacks, and climate sensitivity supplementary material (climate change 2021: The physical science basis. Contribution of working group I to the sixth assessment report of the Intergovernmental Panel on Climate Change). Intergovernmental Panel on Climate Change (IPCC). Link to source: https://www.ipcc.ch/ 

Tai, A. P., Sadiq, M., Pang, J. Y., Yung, D. H., & Feng, Z. (2021). Impacts of surface ozone pollution on global crop yields: Comparing different ozone exposure metrics and incorporating co-effects of CO2. Frontiers in Sustainable Food Systems, 5, 534616. Link to source: https://doi.org/10.3389/fsufs.2021.534616 

Tradewater. (2023). Methane. Retrieved August 16, 2024, from Link to source: https://www.ogci.com/progress-report/building-towards-net-zero 

Tran, H., Polka, E., Buonocore, J. J., Roy, A., Trask, B., Hull, H., & Arunachalam, S. (2024). Air quality and health impacts of onshore oil and gas flaring and venting activities estimated using refined satellite‐based emissions. GeoHealth, 8(3), e2023GH000938. Link to source: https://doi.org/10.1029/2023GH000938 

UN Environment Program. (2021). Global methane assessment: Benefits and costs of mitigating methane emissions. Link to source: https://www.unep.org/resources/report/global-methane-assessment-benefits-and-costs-mitigating-methane-emissions 

UN Environment Program. (2024). An eye on methane: Invisible but not unseen. Link to source: https://www.unep.org/interactives/eye-on-methane-2024/ 

U.S. Department of Commerce, Commercial Law Development Programme. (2023). Methane abatement for oil and gas - handbook for policymakers. Link to source: https://cldp.doc.gov/sites/default/files/2023-09/CLDP%20Methane%20Abatement%20Handbook.pdf

U.S. Energy Information Administration. (2024). What countries are the top producers and consumers of oil? Link to source: https://www.eia.gov/tools/faqs/faq.php?id=709&t=6 

U.S. Environmental Protection Agency. (2019). Global non-CO2 greenhouse gas emission projections & mitigation 2015 - 2050. Link to source: https://www.epa.gov/ozone-layer-protection/transitioning-low-gwp-alternatives-residential-and-commercial-air

Van Dingenen, R., Crippa, M., Maenhout, G., Guizzardi, D., & Dentener, F. (2018). Global trends of methane emissions and their impacts on ozone concentrations. Joint Research Commission (European Commission). Link to source: https://op.europa.eu/en/publication-detail/-/publication/c40e6fc4-dbf9-11e8-afb3-01aa75ed71a1/language-en

Wang, J., Fallurin, J., Peltier, M., Conway, TJ, and Gordon, D. (2024). Fossil Fuel Operations Sector: Refining Emissions [Data set]. RMI, Climate TRACE Emissions Inventory. Retrieved April 18, 2025, from Link to source: https://climatetrace.org 

World Bank Group. (2023). What you need to know about abatement costs and decarbonization. Link to source: https://www.worldbank.org/en/news/feature/2023/04/20/what-you-need-to-know-about-abatement-costs-and-decarbonisation 

World Bank Group. (2024). Global flaring and methane reduction partnership (GFMR). Retrieved August 16, 2024, from Link to source: https://www.worldbank.org/en/programs/gasflaringreduction 

Credits

Lead Fellow

  • Jason Lam

Contributors

  • Ruthie Burrows, Ph.D.

  • James Gerber, Ph.D.

  • Yusuf Jameel, Ph.D.

  • Daniel Jasper

  • Alex Sweeney

Internal Reviewers

  • Aiyana Bodi

  • Hannah Henkin

  • Ted Otte

  • Amanda D. Smith, Ph.D.

  • Paul C. West, Ph.D.

  • James Gerber, Ph.D.

Effectiveness

Each Mt of methane that is not emitted avoids 81.2 million t CO₂‑eq on a 20-yr basis and 27.9 million t CO₂‑eq on a 100-yr basis (Smith et al., 2021). The GWP of methane is shown in Table 1. If the methane is burned (converted into CO₂ ), the contribution to climate change will still be less than that of methane released directly into the atmosphere. Methane abatement can have a more immediate impact on future global temperature rise because it has a larger and faster warming effect than CO₂. Mitigating methane emissions in the near term can give us more time for reducing GHG emissions in hard-to-abate sectors.

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Table 1. Effectiveness at reducing emissions.

Unit: t CO₂‑eq /Mt of methane abated

100-yr GWP 27,900,000
20-yr GWP 81,200,000
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Cost

The cost of methane abatement will vary depending on the type of O&G production, the methane content of the O&G resource, and the strategies used to address it. We averaged the costs for various abatement strategies; methane content is sufficiently high to utilize methane abatement strategies, and energy infrastructure is available to utilize abated methane. The initial cost to abate 1 Mt of methane is US$594 million, the revenue is about US$193 million, and the overall net savings over a 30-yr amortization period is US$173 million. This means that reducing O&G methane emissions offers a net economic gain for O&G producers. We were not able to find operating cost information for the solution, meaning the net economic gain may be lower in practice. 

We considered the baseline scenario where O&G producers do not have systems or practices in place to monitor or stop methane from escaping to the atmosphere and found very limited cost data. We assumed baseline costs to be 0 for initial costs, operational costs, and revenue because current practices and infrastructure are releasing methane to the atmosphere as a part of their existing cost of doing business. 

Many of the initial cost data for methane abatement come from studies estimating how much capital would be required to reach methane emission targets for the O&G industry. These costs are for the global scale of O&G methane abatement and not from the point of view of an individual O&G producer. These studies do not go into detail about the cost of specific abatement strategies or their potential revenues. The context and assumptions are difficult to identify, since the abatement strategies must be tailored to each site. Ocko et al (2021) noted that most (around 80%) of economically feasible methane abatement actions are from the O&G sector. 

Table 2 shows the costs per t CO₂‑eq. The value of the methane sold, instead of released, will often bring in revenue that covers the costs of abatement. Refer to the Appendix for information on the proportion of strategies that O&G producers could implement at low to no cost.

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Table 2. Net cost per unit of climate impact.

Unit: 2023 US$/t CO₂‑eq

Median (100-yr basis) -6.20
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Learning Curve

Many of the technology solutions for reducing methane emissions are mature, and we were unable to find literature suggesting the costs to implement these solutions will fall in the future. There may be efficiencies to be gained in LDAR, but little research offers insights into the costs of LDAR programs (Delphi Group, 2017, ICF, 2016). 

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Speed of Action

Speed of action refers to how quickly a climate solution physically affects the atmosphere after it is deployed. This is different from speed of deployment, which is the pace at which solutions are adopted.

At Project Drawdown, we define the speed of action for each climate solution as emergency brake, gradual, or delayed.

Manage OIl & Gas Methane is an EMERGENCY BRAKE climate solution. It has the potential to deliver a more rapid impact than gradual and delayed solutions. Because emergency brake solutions can deliver their climate benefits quickly, they can help accelerate our efforts to address dangerous levels of climate change. For this reason, they are a high priority.

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Caveats

Burning methane produces CO₂. Though the GWP is far less than that of releasing methane into the atmosphere, the practice still creates a negative climate impact. Depending on the type of O&G production, methane abatement is already practiced with natural gas production and is likely to bring added profit. However, oil producers who are not already producing methane for profit may not be able to abate methane at a profit. 

Avoiding fossil fuel extraction, transport, and use is the only way to permanently reduce emissions from O&G production. For many low- and middle-income countries (LMICs), O&G is the main source of energy, and it is challenging for them to completely eliminate O&G from their energy mix while they are simultaneously working to improve living standards. High-income countries can help LMICs develop clean energy infrastructure by providing financial and technological support. This will prevent new investments in O&G infrastructure (Laan, et al., 2024), which would result in ongoing emissions for decades. It would also allow LMICs a realistic pathway to transition away from their existing O&G usage. O&G demand must fall by 80% between 2022 and 2050 to stay in alignment with the net-zero emissions scenarios modeled by IEA (2023c). O&G methane abatement will decrease over time as the O&G industry produces less methane to be abated.

Our assessment does not include the impact of the CO₂ created from the destruction of methane.

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Current Adoption

We found little literature quantifying the current adoption of methane management; much of the methane abatement research revolves around the amount of methane that needs to be abated to reach certain climate targets. Based on data from Global Methane Initiative (GMI, 2024), 0 Mt of methane was abated in 2023 but due to lack of data we consider current adoption to be not determined in Table 3.

GMI (2024) provided a conservative estimate of cumulative methane emissions abated each year, with a total of 153.6 Mt CO₂‑eq (5.51 Mt methane) abated as of 2023. The methane is given as a cumulative value to show the incremental increase in total methane abated and to avoid double counting methane abated. GMI members only cover 70% of human-caused methane emissions, and the organization does not capture methane mitigation that occurs outside of GMI members. This suggests that even in years where methane was abated, it would likely still be an underestimate of what may have actually occurred globally. The untapped potential for methane abatement suggests that O&G companies are investing in increasing natural gas production, which may be due to relatively smaller profits from abatement and nonbinding regulations (Shindell et al., 2024). 

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Table 3. Current (2023) adoption level.

Unit: Mt of methane abated/yr

Median (50th percentile) not determined
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Adoption Trend

Although there is little research specifically quantifying the adoption of methane abatement strategies over time, we estimate the average adoption trend in recent years to be about 0.35 Mt/yr of methane abated. To create this estimate, we relied on GMI analysis (GMI, 2024). GMI showed methane abatement gradually increasing from 2011 to 2023, then tapering off around 2020 and beginning to decrease among its member organizations. Table 4 shows the adoption trend for O&G methane abatement.

The IEA (2025) compiled country-level reporting for GHG emissions with data up to 2024. However, we were not able to use the data for the adoption trend because the changes in methane emissions could have been due to reasons other than methane abatement. In reality, methane emissions may be affected by multiple factors such as natural disasters, political conditions, changes in O&G demand, and changes in O&G industry practices.

Oil and Gas Climate Initiative (2023) data on methane abatement to date for 12 major O&G companies indicate that methane emissions decreased 50% from 2017 to 2022; however, we cannot assume the rest of the O&G industry has made the same level of progress. 

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Table 4. Adoption trend, 2011–2022.

Unit: Mt methane abated/yr

Median (50th percentile) 0.35
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Adoption Ceiling

We found an adoption ceiling of 80.7 Mt/yr of methane based on the IEA’s (2025) estimate for total methane emissions from the O&G sector. We assumed that current O&G methane emissions would remain the same into the future with no changes in O&G production or demand. Table 5 shows the adoption ceiling for O&G methane abatement.

Even in the IEA’s (2023c) highest methane abatement energy scenario, only 93% of the methane emissions are reduced by 2050. This would still leave methane emissions being released into the atmosphere by the O&G sector. Reduced O&G production will reduce the amount of methane emissions produced by the O&G sector and consequently reduce the amount of methane that needs to be controlled with methane abatement. 

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Table 5. Adoption ceiling.

Unit: Mt methane abated/yr

Median (50th percentile) 80.7
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Achievable Adoption

Based on the limited data available for current adoption and adoption trend, we expect 3.26–8.84 Mt/yr of methane abated. The Achievable – Low value aligns with the IEA (2023c) baseline energy scenario (STEPS), in which partial methane abatement is used but not all technically possible methane is abated. The Achievable – High value aligns with the IEA (2023c) baseline scenario (STEPS), in which full methane abatement is employed (all technically possible methane is abated). We determined this range by taking the total methane abated in these scenarios and dividing by the difference between the target year and 2024 to determine an average amount of methane abated each year to reach the scenario target. Under both scenarios, reduced demand for O&G would reduce methane emissions produced and lower the adoption ceiling possible for methane abatement. Even in scenarios where there is reduced O&G demand, methane abatement would still be required to control fugitive methane emissions from O&G infrastructure and limit global climate change. 

The amount of methane that can be abated varies greatly depending on how much methane the O&G industry produces. If O&G production remains steady, cumulative methane abatement could be 21–81 Mt, according to the IEA energy scenarios. If O&G demand drops 80% (IEA’s Net Zero Emissions scenario), total methane emissions would decline to 18 Mt, and the use of methane abatement would reduce methane emissions further by 17 Mt, leaving only 1 Mt of methane emitted in 2050. 

There has been growing interest from governments and academia to more accurately identify methane emissions using technologies such as satellite sensing (MethaneSat, 2024); UNEP (2024) has set up a monitoring and operator’s alliance group that will share best practices among O&G producers. This alliance group has identified more than 1,200 methane releases, but only 15 responses from government or companies provided detail about the source of the emissions or whether any mitigation action was considered or taken. This shows there are still many opportunities to abate methane emissions. 

More than 150 countries (representing 50% of the world’s human-caused methane emissions) have joined the Global Methane Pledge to reduce methane emissions 30% from 2020 to 2030 (UNEP, 2021). The IEA (2023b) found that many governments already have announced or put into place measures to cut methane emissions, so we expect global methane abatement to grow. 

Conrad et al. (2023) found that the emission inventories reported by the Alberta, Canada, government underestimate the methane emissions from the O&G sector, with a large portion coming from venting. These sources of methane are relatively easier to address and can allow the O&G sector to quickly reduce methane emissions. Table 6 shows the statistical low and high achievable ranges for O&G methane abatement based on different sources for future uptake of O&G methane abatement.

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Table 6. Achievable adoption.

Unit: Mt methane abated/yr

Current adoption not determined
Achievable – low 3.26
Achievable – high 8.84
Adoption ceiling 80.66
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We estimate that the O&G industry is currently abating approximately 0 Gt CO₂‑eq/yr on a 100-yr basis and 0 Gt CO₂‑eq/yr on a 20-yr basis using methane abatement strategies. 

As the O&G industry grows or shrinks its emissions, the amount of methane available to abate will change accordingly. If O&G demand and production stay constant to 2050, we estimate 0.09–0.25 Gt CO₂‑eq/yr of methane could be abated. 

However, if O&G demand drops, the methane abatement potential would drop because the O&G sector is producing less methane. This is projected in the different energy scenarios modeled by the IEA (2023). The range between the current O&G methane abatement and the adoption ceiling is shown in Table 7.

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Table 7. Climate impact at different levels of adoption.

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current adoption not determined
Achievable – low 0.09
Achievable – high 0.25
Adoption ceiling 2.25
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Additional Benefits

Air Quality and Health

Methane reacts with other pollutants to create ground-level ozone (Mar et al., 2022), and incomplete combustion of methane (Figure 2) releases other pollutants such as CO₂, carbon monoxide, black carbon, and volatile organic compounds (Fawole et al., 2016; Johnson and Coderre, 2012; Motte et al., 2021). These pollutants cause respiratory, reproductive, and neurological diseases; cancer; and premature death (Michanowicz et al., 2021; Motte et al., 2021; Tran et al., 2024), so reducing methane release can improve human health. Reducing or stopping flaring at a small number of the largest active sites can significantly reduce air pollution (Anejionu et al., 2015; Johnson and Coderre, 2012). Van Dingenen et al. (2018) estimate that ambitious methane reduction could prevent 70,000 to 130,000 ozone-related deaths worldwide each year.

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Figure 2. Air pollutants emitted along the O&G life cycle (Moore et al., 2014). BTEX = benzene, toluene, ethylbenzene, xylene.

Diagram listing air pollutants emitted along the oil and gas life cycle

Source: Moore, C. W., Zielinska, B., Pétron, G., & Jackson, R. B. (2014). Air impacts of increased natural gas acquisition, processing, and use: A critical review. Environmental Science & Technology, 48(15), 8349–8359. Link to source: https://doi.org/10.1021/es4053472

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Risks

If natural gas prices drop there would be less economic reason for industries to voluntarily abate methane (IEA, 2021). Without policy support enforcing the use of methane abatement technologies, methane could continue to be released into the atmosphere. The use of methane abatement will be needed regardless of whether O&G demand remains the same or decreases over time because it has an immediate effect on reducing global temperature rise in the near term.

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Interactions with Other Solutions

Reinforcing

Managing O&G methane can reinforce other solutions that reduce the amount of methane released to the atmosphere. The use of solutions such as applying changes to operations and maintenance; converting, replacing, and installing devices; and LDAR in the O&G industry can help demonstrate the effectiveness and economic case for methane abatement elsewhere and build momentum for adoption of methane abatement in other sectors. 

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Competing

Managing O&G methane has the potential to compete with solutions that provide clean electricity and solutions that focus on fuel switching in transportation because this solution increases O&G supply and can reduce the cost of O&G products. As a result, it could prolong the use of fossil fuels and slow down the transition to clean electricity.

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Dashboard

Solution Basics

Mt methane abated

t CO₂-eq (100-yr)/unit
2.79×10⁷
units/yr
Current Not Determined 03.268.84
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current Not Determined 0.090.25
US$ per t CO₂-eq
-6
Emergency Brake

CH₄, N₂O, BC

Trade-offs

Methane abatement could increase the use of O&G resources without a broader strategy to reduce reliance on O&G as an energy resource. The use of methane abatement strategies to extend the use of existing O&G infrastructure, or building new O&G infrastructure, will not result in a net decrease in emissions. Beck et al. (2020) found that more than 57% of the GHG emissions from the O&G supply chain are from methane emissions, while the rest is due to CO₂ emissions (15% from the extraction process and 28% from O&G energy use). Even with methane mitigation, continued use of O&G will generate CO₂ emissions and will contribute to global temperature rise. 

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Mt CO2–eq/yr
< 50
50–100
100–200
200–300
> 300
Refining
Production
Transport

Annual emissions from oil and gas sources, 2024

Globally, oil and gas sources, including production, refining, and transport, were responsible for 81 Mt out of the 354 Mt of anthropogenic methane emissions in 2024. This is equivalent to 2,250 Mt CO2-eq based on a 100-year GWP time scale. Methane emissions occur throughout the supply chain due to equipment imperfections, leaks, and intentional venting.

International Energy Agency. (2025). Global Methane tracker 2025: Data tools. Link to source: https://www.iea.org/data-and-statistics/data-tools/methane-tracker

Schmeisser, L., Tecza, A., Huffman, M., Bylsma, S., Delang, M., Stanger, J., Conway, TJ, and Gordon, D. (2024). Fossil fuel operations sector: Oil and gas production and transport emissions [Data set]. RMI, Climate TRACE Emissions Inventory. Retrieved April 18, 2025 from Link to source: https://climatetrace.org

Wang, J., Fallurin, J., Peltier, M., Conway, TJ, and Gordon, D. (2024). Fossil fuel operations sector: Refining emissions [Data set]. RMI, Climate TRACE Emissions Inventory. Retrieved April 18, 2025 from Link to source: https://climatetrace.org

Mt CO2–eq/yr
< 50
50–100
100–200
200–300
> 300
Refining
Production
Transport

Annual emissions from oil and gas sources, 2024

Globally, oil and gas sources, including production, refining, and transport, were responsible for 81 Mt out of the 354 Mt of anthropogenic methane emissions in 2024. This is equivalent to 2,250 Mt CO2-eq based on a 100-year GWP time scale. Methane emissions occur throughout the supply chain due to equipment imperfections, leaks, and intentional venting.

International Energy Agency. (2025). Global Methane tracker 2025: Data tools. Link to source: https://www.iea.org/data-and-statistics/data-tools/methane-tracker

Schmeisser, L., Tecza, A., Huffman, M., Bylsma, S., Delang, M., Stanger, J., Conway, TJ, and Gordon, D. (2024). Fossil fuel operations sector: Oil and gas production and transport emissions [Data set]. RMI, Climate TRACE Emissions Inventory. Retrieved April 18, 2025 from Link to source: https://climatetrace.org

Wang, J., Fallurin, J., Peltier, M., Conway, TJ, and Gordon, D. (2024). Fossil fuel operations sector: Refining emissions [Data set]. RMI, Climate TRACE Emissions Inventory. Retrieved April 18, 2025 from Link to source: https://climatetrace.org

Maps Introduction

Methane abatement is recommended for all oil and gas (O&G) production. The levels of achievable abatement can vary geographically, depending on the extraction technology used (i.e., conventional drilling versus hydraulic fracturing). The Middle East, Europe, Asia, and North America are among the largest O&G producers and have the highest related methane emissions, according to the IEA (2025). Research from Shindell et al. (2024) found that North America, Russia, and several countries in the Middle East and Africa have the most methane abatement potential in O&G. O&G methane abatement could be accelerated if technologies and strategies used in high-income countries are shared with other O&G producing countries.

Action Word
Manage
Solution Title
Oil & Gas Methane
Classification
Highly Recommended
Lawmakers and Policymakers
  • Hold well owners accountable for harm caused to the public and environment.
  • Introduce performance goals for emissions reductions.
  • Use economic measures such as taxes or financial incentives.
  • Regulate key aspects of abatement, such as the use of LDAR, and enforce existing regulations.
  • Utilize data-driven public information programs such as collecting and publishing monitoring and reporting data (“naming and shaming”).
  • Distribute information to operators, such as technology options that fit relevant regulations. 

Further information:

Practitioners
  • Shift business models toward 100% renewable energy.
  • Detect and repair methane leaks.
  • Implement device conversion, replacement, and installation and LDAR.
  • Change operations and maintenance practices to reduce or recover vented methane.
  • Implement zero-tolerance policies for methane leaks.
  • Increase transparency on emissions and practices.
  • Join cross-company and industry coalitions that facilitate implementation.

Further information:

Business Leaders
  • Eliminate major methane O&G emitters in your value chains or pressure them to improve performance.
  • Create a plan to transition to renewable energy.
  • Center methane in net-zero strategies, such as establishing internal methane pricing mechanisms and requiring suppliers to meet standards for monitoring and reducing methane emissions in your operations.
  • Identify technology partners that are monitoring and reducing methane emissions and make market commitments.
  • If your company is participating in the voluntary carbon market, look into funding projects that plug methane leaks.
  • Proactively collaborate with government and regulatory actors to support methane abatement policies.
  • Join or support transparency initiatives led by trusted third parties, such as the Oil and Gas Methane Partnership 2.0.

Further information:

Nonprofit Leaders
  • Help with monitoring and reporting by, for example, utilizing satellite data.
  • Help design policies and regulations that support methane abatement.
  • Educate the public on the urgent need to abate methane.
  • Join or support efforts such as the Global Methane Alliance.
  • Encourage policymakers to create ambitious targets and regulations.
  • Pressure O&G companies to improve their practices.
  • Take or support legal action when companies do not follow relevant regulations.
  • Work with journalists and the media to support public education on the importance of methane abatement.

Further information:

Investors
  • Pressure and influence portfolio companies to incorporate methane abatement into their operations, noting that this saves money and adds value for investors.
  • Provide capital for nascent methane abatement strategies and leak detection and monitoring instruments.
  • Invest in green bonds and other financial instruments that support methane abatement projects.
  • Seek impact investment opportunities such as sustainability-linked loans in entities that set methane abatement targets.
  • Invest in projects that plug methane leaks. 

Further information:

Philanthropists and International Aid Agencies
  • Provide capital for methane monitoring, de-risking, and abatement in the early stages of implementation.
  • Support global, national, and local policies that reduce methane emissions.
  • Support accelerators or multilateral initiatives like the Global Methane Hub.
  • If working in a fossil fuel–producing nation, support sustainable developments in other sectors of the economy.
  • Explore opportunities to fund the plugging of abandoned oil or gas wells that leak methane.
  • Advance awareness of the public health and climate threats from the O&G industry.
  • Join, create, or participate in partnerships or certification programs dedicated to managing oil and gas methane.

Further information:

Thought Leaders
  • Provide technical assistance (e.g., monitoring and reporting) to businesses, government agencies, and other entities working to reduce methane emissions.
  • Help design policies and regulations that support methane abatement.
  • Analyze historical emissions patterns to identify and publicize successful programs.
  • Educate the public on the urgent need to abate methane.
  • Advocate to policymakers for more ambitious targets and regulations.
  • Pressure O&G companies to improve their practices.
  • Join, create, or participate in partnerships or certification programs dedicated to managing oil and gas methane.

Further information:

Technologists and Researchers
  • Develop new LDAR technologies that reduce cost and required capacity.
  • Develop new technologies for measuring and verifying emissions.
  • Conduct longitudinal studies to measure emissions against objectives or means of enforcement. 

Further information:

Communities, Households, and Individuals
  • If you are impacted by harmful O&G methane management practices, document your experiences.
  • Reduce household consumption of fossil fuels by adopting clean energy sources, increasing energy efficiency, and replacing fossil fuel-powered equipment with electricity-powered equipment.
  • Share documentation of harmful practices and/or other key messages with policymakers, the press, and the public.
  • Encourage policymakers to improve regulations.
  • Support public education efforts on the urgency and need to address the issue.

Further information:

Sources
Evidence Base

Consensus of effectiveness of abating methane emissions in the O&G sector: High

There is a high level of consensus about the effectiveness of methane abatement strategies. These strategies can be deployed cost effectively in many cases and have an immediate impact on reducing global temperature rise. 

Authoritative sources such as the IEA (2023d), UNEP (2021), and Global Methane Hub (2024) agree that reducing methane emissions can noticeably reduce the rate of global temperature rise. DeFabrizio et al. (2021) identified that methane abatement strategies such as LDAR, switching from natural gas fuel to electric power, using air for pneumatic devices, and using vapor recovery units could reduce O&G methane emissions by 40% by 2030 based on global 2017 O&G emissions. With methane being the second largest contributor to climate change after CO₂, reductions in methane emissions can quickly reduce global temperature rise.

Others (Marks Levi, 2022; DeFabrizio et al., 2021; Malley et al., 2023) have identified that many methane abatement strategies can use existing technologies, often at low cost. Dunsky (2023) found that implementing 24 of the least expensive abatement measures in the exploration and production phases of Canada’s O&G industry could help Canada achieve its 2030 methane target. The IEA (2023a) noted that the O&G industry was responsible for 80 Mt of methane in 2022 and had the largest potential for abatement in the near term. The O&G industry has the potential to abate 60 Mt of methane by 2030 using abatement strategies; 40% of that could be abated at no net cost based on average natural gas prices from 2017 to 2021 (IEA, 2023a).

The results presented in this document summarize findings from more than 15 reviews and meta-analyses and more than 10 original studies reflecting current evidence from two countries, primarily from the United States and Canada, and from global sources. We recognize this limited geographic scope creates bias, and hope this work inspires research and data-sharing on this topic in underrepresented regions.

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Appendix

Data describing methane abatement potential in the O&G industry are often shown in marginal abatement cost curves (MACCs), which incorporate the initial cost, operating cost, revenue, and any extra costs per unit of emissions reduced as one value.

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Figure A1. Marginal abatement cost curves (MACC) for methane abatement in the O&G industry (IEA, 2024).

Cost curve chart.

Source: International Energy Agency (Global Methane Tracker 2024).

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MACCs indicate a range of potential climate actions and show at a glance the magnitude of financial return or financial cost across that range. In Figure A1, for the blocks below the horizontal axis, the value received from the sale of the captured methane is greater than the cost of the solution employed. The width of a block shows the annual amount of emissions a technology can abate, with wider blocks abating more emissions than narrower blocks.

MACCs are useful for identifying which climate action could have the most impact at reducing emissions or which options have a net economic gain. However, they do not illustrate the intricacies that may be in play among different climate actions and can lead users to ignore hard-to-abate emissions. The World Bank (2023) identified that MACCs are useful to find which option will reduce emissions by a set percentage but less useful for reducing absolute emissions to near zero. 

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Updated Date

Manage Coal Mine Methane

Submitted by Drawdown Admin on
Sector
Other Energy
Mode
Cut Emissions
Cluster
Cut Fugitive Emissions
Image
Worker in a coal mine
Coming Soon
Off
Summary

Managing coal mine methane (CMM) is the process of reducing methane emissions released from coal deposits and surrounding rock layers due to mining activities. CMM is naturally found in coal seams and released into the atmosphere when the coal seams are disturbed. Coal mines can continue to emit methane even after being closed or abandoned, which is known as abandoned mine methane (AMM). CMM and AMM can be captured and then utilized as a fuel source or destroyed before they reach the atmosphere [U.S. Environmental Protection Agency (U.S. EPA), 2024a].

Health
Air quality
Description for Social and Search
Managing coal mine methane is the process of reducing methane emissions released from coal deposits and surrounding rock layers due to mining activities.
Overview

CMM is released from coal mines before, during, and after active coal mining and from coal being transported (U.S. EPA, 2024a). Atmospheric methane has a GWP of 81 on a 20-yr basis and a GWP of 28 on a 100-yr basis (Intergovernmental Panel on Climate Change [IPCC], 2023). This means methane is 81 times more effective at trapping heat than CO₂. Because methane is a short-lived climate pollutant that has a much stronger warming effect than CO₂ over a given time period, abating methane from coal mines will have a powerful near-term impact on slowing global climate change. If capturing methane is not possible, destroying the methane by burning it is preferable to releasing it.

CMM comes from five major sources throughout the coal mine’s life cycle (Figure 1): 

  1. Degasification systems – pipes installed in the ground to move methane into the atmosphere before starting mining
  2. Ventilation air – air escaping from underground mines when fresh air is used to push out underground methane during mining
  3. Surface mines – exposed coal seams that emit methane directly into the atmosphere during mining
  4. Fugitive emissions – already mined coal that emits methane while being transported or stored
  5. Abandoned or closed mines – coal seams and rock strata that are exposed to air, allowing AMM to escape through existing vents or cracks after mine closure. 

Figure 1. Percent breakdown of CMM sources in the United States, 2021.

Source: U.S. Environmental Protection Agency (2024d). Sources of coal mine methane. Retrieved November 5, 2024. https://www.epa.gov/cmop/sources-coal-mine-methane

CMM management relies on several practices and technologies to reduce the amount of methane released into the atmosphere. The CMM that is captured can be used as a fuel at high concentrations and destroyed through flaring or oxidation at low concentrations. The methane captured from degasification systems typically has a high concentration while fugitive and ventilation methane sources are low concentration. CMM management also includes leak detection and repair using satellites, drones, or other technologies to prevent methane from escaping into the atmosphere.

Underground coal mines have more methane abatement strategies available due to higher average methane concentrations and relative ease of capture. Surface coal mines are exposed directly to the atmosphere and can cover large areas, making them more difficult to abate methane, though there are technologies that can reduce CMM emissions. See the Appendix for more details on the abatement technologies specific to underground and surface coal mines.

Assan, S., & Whittle, E. (2023). In the dark: Underreporting of coal mine methane is a major climate risk. Ember. Link to source: https://ember-energy.org/latest-insights/in-the-dark-underreporting-of-coal-mine-methane-is-a-major-climate-risk/#supporting-material 

Assan, S. (2024). Understanding the EU’s methane regulation for coal. Ember. Link to source: https://ember-energy.org/latest-insights/eumethane-reg-explained/ 

CNX. (2024, March 20). Jumpstarting coal mine methane capture projects for beneficial end use [PowerPoint slides].Global Methane Initiative. Link to source: https://www.globalmethane.org/resources/details.aspx?resourceid=5386 

DeFabrizio, S., Glazener, W., Hart, C., Henderson, K., Kar, J., Katz, J., Pratt, M. P., Rogers, M., Ulanov, A., & Tryggestad, C. (2021). Curbing methane emissions: How five industries can counter a major climate threat. McKinsey Sustainability. Link to source: https://www.mckinsey.com/~/media/mckinsey/business%20functions/sustainability/our%20insights/curbing%20methane%20emissions%20how%20five%20industries%20can%20counter%20a%20major%20climate%20threat/curbing-methane-emissions-how-five-industries-can-counter-a-major-climate-threat-v4.pdf 

Domingo, N. G. G., Fiore, A. M., Lamarque, J.-F., Kinney, P. L., Jiang, L., Gasparrini, A., Breitner, S., Lavigne, E., Madureira, J., Masselot, P., das Neves Pereira da Silva, S., Sheng Ng, C. F., Kyselý, J., Guo, Y., Tong, S., Kan, H., Urban, A., Orru, H., Maasikmets, M., … Chen, K. (2024). Ozone-related acute excess mortality projected to increase in the absence of climate and air quality controls consistent with the Paris Agreement. One Earth (Cambridge, Mass.), 7(2), 325–335. Link to source: https://doi.org/10.1016/j.oneear.2024.01.001

Fiore, A. M., Jacob, D. J., & Field, B. D. (2002). Linking ozone pollution and climate change: The case for controlling methane. Geophysical Research Letters, 29(19), 182-197. Link to source: https://doi.org/10.1029/2002GL015601 

Gajdzik, B., Tobór-Osadnik, K., Wolniak, R., & Grebski, W. W. (2024). European climate policy in the context of the problem of methane emissions from coal mines in Poland. Energies, 17(10), 2396. Link to source: https://doi.org/10.3390/en17102396 

Global Energy Monitor (n.d.). Global coal mine tracker. Retrieved February 27, 2025 from Link to source: https://globalenergymonitor.org/projects/global-coal-mine-tracker/ 

Global Methane Initiative. (2015). Coal mine methane country profiles. Link to source: https://www.globalmethane.org/documents/toolsres_coal_overview_fullreport.pdf 

Global Methane Initiative (2018). Expert dialogue on ventilation air methane (VAM). Link to source: https://www.globalmethane.org/documents/res_coal_VAM_Dialogue_Report_20181025.pdf 

Global Methane Initiative (2024a). 2023 Accomplishments in methane mitigation, recovery, and use through U.S.-supported international efforts. Link to source: https://www.epa.gov/system/files/documents/2024-12/epa430r24009-fy23-accomplishments-report.pdf 

Global Methane Initiative (2024b). International coal mine methane project list. Link to source: https://globalmethane.org/resources/details.aspx?resourceid=1981 

Hong, C., Mueller, N. D., Burney, J. A., Zhang, Y., AghaKouchak, A., Moore, F. C., Qin, Y., Tong, D., & Davis, S. J. (2020). Impacts of ozone and climate change on yields of perennial crops in California. Nature Food, 1(3), 166–172. Link to source: https://doi.org/10.1038/s43016-020-0043-8 

Intergovernmental Panel on Climate Change (IPCC). (2023). In: Climate change 2023: Synthesis report. Contribution of working groups I, II and III to the sixth assessment report of the intergovernmental panel on climate change [core writing team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland, pp. 1–34, doi: 10.59327/IPCC/AR6-9789291691647.001 Link to source: https://www.ipcc.ch/report/ar6/syr/ 

International Energy Agency. (2021). Global methane tracker 2021: Methane abatement and regulation. Link to source: https://www.iea.org/reports/methane-tracker-2021/methane-abatement-and-regulation 

International Energy Agency. (2023a). Net zero roadmap: A global pathway to keep the 1.5℃ goal in reach – 2023 update. Link to source: https://www.iea.org/reports/net-zero-roadmap-a-global-pathway-to-keep-the-15-0c-goal-in-reach 

International Energy Agency. (2023b). Strategies to reduce emissions from coal supply. Global Methane Tracker 2023. Link to source: https://www.iea.org/reports/global-methane-tracker-2023/strategies-to-reduce-emissions-from-coal-supply 

International Energy Agency. (2023c). The imperative of cutting methane from fossil fuels. Link to source: https://www.iea.org/reports/the-imperative-of-cutting-methane-from-fossil-fuels 

International Energy Agency. (2023d). Global methane tracker 2023: Overview. Link to source: https://www.iea.org/reports/global-methane-tracker-2023/overview 

International Energy Agency. (2024a). Global methane tracker documentation 2024 version. Link to source: https://iea.blob.core.windows.net/assets/d42fc095-f706-422a-9008-6b9e4e1ee616/GlobalMethaneTracker_Documentation.pdf 

International Energy Agency. (2024b). Methane tracker: Data tools. Link to source: https://www.iea.org/data-and-statistics/data-tools/methane-tracker 

International Energy Agency. (2024c). World energy outlook 2024. Link to source: https://www.iea.org/reports/world-energy-outlook-2024 

International Energy Agency. (2025). Global methane tracker documentation 2025 version. Link to source: https://iea.blob.core.windows.net/assets/2c0cf2d5-3910-46bc-a271-1367edfed212/GlobalMethaneTracker2025.pdf 

Kholod, N., Evans, M., Pilcher, R. C., Roshchanka, V., Ruiz, F., Coté, M., & Collings, R. (2020). Global methane emissions from coal mining to continue growing even with declining coal production. Journal of Cleaner Production, 256. Link to source: https://doi.org/10.1016/j.jclepro.2020.120489 

Lewis, C., Tate, R.D., and Mei, D.L. (2024). Fuel operations sector: Coal mining emissions methodology [Data set]. WattTime and Global Energy Monitor, Climate TRACE Emissions Inventory. Retrieved April 18, 2025, from Link to source: https://climatetrace.org 

Malley, C. S., Borgford-Parnell, N. Haeussling, S., Howard, L. C., Lefèvre E. N., & Kuylenstierna J. C. I. (2023). A roadmap to achieve the global methane pledge. Environmental Research: Climate, 2(1). Link to source: https://doi.org/10.1088/2752-5295/acb4b4 

Mar, K. A., Unger, C., Walderdorff, L., & Butler, T. (2022). Beyond CO2 equivalence: The impacts of methane on climate, ecosystems, and health. Environmental Science & Policy, 134, 127–136. Link to source: https://doi.org/10.1016/j.envsci.2022.03.027 

MethaneSAT. (2024). Solving a crucial climate challenge. Retrieved September 2, 2024, from Link to source: https://www.methanesat.org/satellite/ 

Mills, G., Sharps, K., Simpson, D., Pleijel, H., Frei, M., Burkey, K., Emberson, L., Cuddling, J., Broberg, M., Feng, Z., Kobayashi, K. & Agrawal, M. (2018). Closing the global ozone yield gap: Quantification and cobenefits for multistress tolerance. Global Change Biology, 24(10), 4869–4893. Link to source: https://doi.org/10.1111/gcb.14381 

Ocko, I. B., Sun, T., Shindell, D., Oppenheimer, M. Hristov, A. N., Pacala, S. W., Mauzerall, D. L., Xu, Y. & Hamburg, S. P. (2021). Acting rapidly to deploy readily available methane mitigation measures by sector can immediately slow global warming. Environmental Research, 16(5). Link to source: https://doi.org/10.1088/1748-9326/abf9c8 

Ramya, A., Dhevagi, P., Poornima, R., Avudainayagam, S., Watanabe, M., & Agathokleous, E. (2023). Effect of ozone stress on crop productivity: A threat to food security. Environmental Research, 236(2), 116816. Link to source: https://doi.org/10.1016/j.envres.2023.116816 

Roshchanka, V., Evans, M., Ruiz, F., & Kholod, N. (2017). A strategic approach to selecting policy mechanisms for addressing coal mine methane emissions: A case study on Kazakhstan. Environmental Science & Policy, 78, 185–192. Link to source: https://doi.org/10.1016/j.envsci.2017.08.005 

Roshchanka, V., & Talkington, C. (2022). Effective monitoring, reporting and verification of methane emissions in the coal industry and the linkage to methane mitigation. Link to source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4298409

Rystad Energy. (2023, October 18). Methane tracking technologies study [PowerPoint slides]. Environmental Defense Fund. Link to source: https://www.edf.org/sites/default/files/documents/Methane%20Tracking%20Technologies%20Study%20Oct%2018%202023.pdf 

Sampedro, J., Waldhoff, S., Sarofim, M., & Van Dingenen, R. (2023). Marginal damage of methane emissions: Ozone impacts on agriculture. Environmental and Resource Economics, 84(4), 1095–1126. Link to source: https://doi.org/10.1007/s10640-022-00750-6 

Setiawan, D. & Wright, C. (2024). The risks of ignoring methane emissions in coal mining. Ember. Link to source: https://ember-energy.org/latest-insights/the-risks-of-ignoring-methane-emissions-in-coal-mining/#supporting-material 

Shindell, D., Sadavarte, P., Aben, I., Bredariol, T. O., Dreyfus, G., Höglund-Isaksson, L., Poulter, B., Saunois, M., Schmidt, G. A., Szopa, S., Rentz, K., Parsons, L., Qu, Z., Faluvegi, G., & Maasakkers, J. D. (2024). The methane imperative. Frontiers. Link to source: https://www.frontiersin.org/journals/science/articles/10.3389/fsci.2024.1349770/full

Silvia, F., Talia, V., & Di Matteo, M. (2021). Coal mining and policy responses: Are externalities appropriately addressed? A meta-analysis. Environmental Science & Policy, 126, 39–47. Link to source: https://doi.org/10.1016/j.envsci.2021.09.013

Smith, C., Nicholls, Z. R. J., Armour, K., Collins, W., Forster, P., Meinshausen, M., Palmer, M. D., & Watanabe, M. (2021). The earth’s energy budget, climate feedbacks, and climate sensitivity supplementary material (climate change 2021: The physical science basis. Contribution of working group I to the sixth assessment report of the Intergovernmental Panel on Climate Change). Intergovernmental Panel on Climate Change (IPCC). Link to source: https://www.ipcc.ch/ 

Tai, A. P., Sadiq, M., Pang, J. Y., Yung, D. H., & Feng, Z. (2021). Impacts of surface ozone pollution on global crop yields: comparing different ozone exposure metrics and incorporating co-effects of CO2. Frontiers in Sustainable Food Systems, 5, 534616. Link to source: https://doi.org/10.3389/fsufs.2021.534616 

Tao, S., Chen, S., & Pan, Z. (2019). Current status, challenges, and policy suggestions for coalbed methane industry development in China: A review. Energy Science & Engineering, 7(4), 1059–1074. Link to source: https://doi.org/10.1002/ese3.358

Tate, R. D., (2022). Bigger than oil or gas? Sizing up coal mine methane. Global Energy Monitor. Link to source: https://globalenergymonitor.org/wp-content/uploads/2022/03/GEM_CCM2022_final.pdf 

United Nations Economic Commission for Europe (UNECE). (2019). Best practice guidance for effective methane recovery and use from abandoned coal mines. Link to source: https://unece.org/fileadmin/DAM/energy/images/CMM/CMM_CE/Best_Practice_Guidance_for_Effective_Methane_Recovery_and_Use_from_Abandoned_Coal_Mines_FINAL__with_covers_.pdf 

United Nations Economic Commission for Europe (UNECE). (2022). Best practice guidance for effective management of coal mine methane at national level: Monitoring, reporting, verification and mitigation. Link to source: https://globalmethane.org/documents/Best%20Practice%20Guidance%20for%20Effective%20Management%20of%20Coal%20Mine%20Methane%20at%20National%20Level%20Monitoring,%20Reporting,%20Verification%20and%20Mitigation.pdf 

United Nations Environment Program. (2022). Coal mine methane science studies road map. Link to source: https://www.unep.org/resources/other-evaluation-reportsdocuments/coal-mine-methane-science-studies-road-map 

U.S. Center for Disease Control and Prevention, (2024, September 25). Mining fires and explosions. Link to source: https://www.cdc.gov/niosh/mining/topics/fires-explosions.html 

U.S. Environmental Protection Agency (2019). Global non-CO2 greenhouse gas emission projections & mitigation 2015–2050. Link to source: https://www.epa.gov/sites/default/files/2019-09/documents/epa_non-co2_greenhouse_gases_rpt-epa430r19010.pdf 

U.S. Environmental Protection Agency (2024a). About coal mine methane. Retrieved November 5, 2024. Link to source: https://www.epa.gov/cmop/about-coal-mine-methane 

U.S. Environmental Protection Agency (2024b). Coalbed methane outreach program accomplishments. Link to source: https://www.epa.gov/cmop/coalbed-methane-outreach-program-accomplishments 

U.S. Environmental Protection Agency (2024c). GHGRP underground coal mines. Retrieved November 5, 2024. Link to source: https://www.epa.gov/ghgreporting/ghgrp-underground-coal-mines 

U.S. Environmental Protection Agency (2024d). Sources of coal mine methane. Retrieved November 5, 2024. Link to source: https://www.epa.gov/cmop/sources-coal-mine-methane 

Ward, K., Mountain State Spotlight, Mierjeski, A. & Scott Pham. (2023). In the game of musical mines, environmental damage takes a back seat. ProPublica. Link to source: https://www.propublica.org/article/west-virginia-coal-blackjewel-bankruptcy-pollution 

Zhu, R., Khanna, N., Gordon, J., Dai, F., & Lin, J. (2023). Abandoned coal mine methane reduction. Berkeley Lab. Link to source: https://ccci.berkeley.edu/sites/default/files/Abandonded%20Coal%20Mines_Final%20%28EN%29.pdf 

Credits

Lead Fellow

  • Jason Lam

Contributors

  • James Gerber, Ph.D.

  • Yusuf Jameel, Ph.D. 

  • Ruthie Burrows, Ph.D.

  • Daniel Jasper

  • Alex Sweeney

Internal Reviewers

  • Sarah Gleeson, Ph.D.

  • Aiyana Bodi

  • Hannah Henkin

  • Ted Otte

  • Amanda D. Smith, Ph.D.

  • Paul C. West, Ph.D.

Effectiveness

Each 1 Mt of methane that is not emitted avoids 81.2 Mt CO₂‑eq on a 20-yr basis and 27.9 Mt CO₂‑eq on a 100-yr basis (Smith et al., 2021). The GWP of methane is shown in Table 1. If methane is converted into CO₂ through burning, the contribution to global climate change will still be less than if it were released into the atmosphere. Methane abatement can have a more immediate impact on future global temperature rise because it has a larger and faster warming effect than CO₂. Mitigating methane emissions in the near term can give us more time for reducing GHG emissions in hard-to-abate sectors.

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Table 1. Effectiveness at reducing emissions.

Unit: t CO₂‑eq/Mt methane abated

100-yr GWP 27,900,000
20-yr GWP 81,200,000
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Cost

The cost of methane abatement will vary depending on the type of coal mine, the methane content of the coal seam, the strategies used, and the availability of financial support for methane abatement. For our analysis, we average the costs for various feasible abatement strategies under two general assumptions: sufficiently high methane content for any of the major abatement strategies to be applied (International Energy Agency [IEA], 2024a) and the ability to use the abated methane on-site or sell it to natural gas companies. The initial cost to abate 1 Mt of methane is US$1.5 billion, the operating cost is about US$130 million, revenue is about US$260 million and the overall net savings over a 30-yr amortization period is US$90 million. We were only able to find revenue information from the IEA (2023b, 2024a), meaning the net cost could be different than shown here due to the site specific nature of methane abatement strategies. 

We considered the baseline scenario to be coal mining practices without methane abatement; all cost estimates here are relative to that scenario.

Cost data were limited for this solution. The available costs for a specific abatement strategy were normalized according to the cost of abating one Mt of methane, and it was assumed that a single strategy abated all of the methane for the coal mine. This results in an overestimate of the effectiveness of any individual strategy. In reality, multiple strategies are likely to be used. The costs shown in Table 2 are for the global scale of coal methane abatement and not from the point of view of an individual coal producer. Many studies that look at global coal methane abatement put multiple abatement strategies together and do not go into detail about the individual technology costs. The IEA (2024a) included costs for individual CMM abatement strategies; however, the costs were only applicable for coal mines that produce enough methane for it to be economically feasible to deploy the specific abatement strategy. Flaring is an effective strategy for destroying captured methane, but will not create revenue in the absence of a carbon market. For more details on important aspects for coal methane abatement strategies, refer to the Appendix.

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Table 2. Cost per unit climate impact.

Unit: 2023 US$/t CO₂‑eq, 100-yr basis

Median -3.17
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Learning Curve

Many of the solutions for reducing methane emissions from coal mining are mature. Research from Rystad (2023) found that technologies for abating CMM emissions, such as drainage gas utilization, sealing and rerouting, and flaring, were considered mature in Australian coal mines. Regenerative thermal oxidation technology is in commercial use for destroying volatile organic compounds and can be used for destroying ventilation air methane (VAM), but the manufacturers have little interest in improving the technology for use in coal mines without confirmed markets (GMI, 2018; Rystad, 2023). We do not foresee the costs of implementing these solutions falling in the future. CMM regulations may encourage manufacturers to improve oxidation technology, but the technology is already used commercially, so there may not be large efficiency gains.

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Speed of Action

Speed of action refers to how quickly a climate solution physically affects the atmosphere after it is deployed. This is different from speed of deployment, which is the pace at which solutions are adopted.

At Project Drawdown, we define the speed of action for each climate solution as emergency brake, gradual, or delayed.

Manage Coal Mine Methane is an EMERGENCY BRAKE climate solution. It has the potential to deliver a more rapid impact than gradual and delayed solutions. Because emergency brake solutions can deliver their climate benefits quickly, they can help accelerate our efforts to address dangerous levels of climate change. For this reason, they are a high priority.

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Caveats

CMM abatement consists of capturing methane that would otherwise be released into the atmosphere. If the methane is burned, CO₂ will be emitted as a byproduct; however, this provides a net climate benefit compared to the methane that would be emitted. CMM emissions management can be avoided by not extracting, transporting, or using coal in the first place. 

As coal demand drops, the number of closed or abandoned coal mines will increase. These mines will continue to release AMM into the atmosphere for many decades. Sealing underground mines can stop methane from being released, but seals have been known to fail and require ongoing monitoring to verify methane is not escaping (Kholod et al., 2020). Gas collection systems can be used to capture AMM, but the CO₂ produced will need to be captured for complete emission reductions. Flooding underground coal mines is very effective at stopping methane from being released; however, there are concerns about water contamination (McKinsey, 2021).

Our assessment does not include the impact of the CO₂ created from the destruction of methane.

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Current Adoption

We estimated that the coal sector abated 0.59 Mt of methane in 2023 and released 40 Mt in 2024 (IEA, 2025). Reports from U.S. EPA (2022), and Global Methane Initiative (GMI, 2023) estimated the amount of CMM abated to date, and the statistical ranges from the sources are shown in Table 3. However, most of the data focused on coal mines in the United States. The U.S. EPA (2024b) stated that 0.3 Mt of methane was captured in 2021 due to the Coalbed Methane Outreach Program. CMM is controlled at coal mines for health and safety reasons, but only in 2024 was regulation introduced for reducing methane emissions from the energy sector in the European Union (Assan, 2024).


GMI (2024a) reports that 0.79 Mt of methane was abated from coal mines in 2023 among its member countries. The organization includes 48 GMI member countries but covers only 70% of human-caused methane emissions and does not track methane mitigation that has occurred outside of the group. GMI (2024b) currently lists more than 471 CMM abatement projects in 20 countries worldwide. According to Global Energy Monitor (n.d.), more than 6,000 coal mines were active in more than 70 countries as of April 2024. With these data sources, we consider our analysis of the current adoption of CMM abatement as conservative. 

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Table 3. Current (2023) adoption level.

Unit: Mt/yr of methane abated

25th percentile 0.49
Mean 0.59
Median (50th percentile) 0.59
75th percentile 0.69
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Adoption Trend

Although there are few data specifically quantifying the adoption trend of methane abatement strategies, we estimate the median adoption trend to be about 0.60 Mt/yr of methane abated.  Table 4 shows the adoption trend for CMM abatement.

GMI (2024) reported methane abatement staying relatively stable 2016–2023 at about 0.8 Mt/yr, with a small increase to 1.0 Mt of methane in 2019–2022 before decreasing back to 0.8 Mt in 2023, causing the adoption trend to be higher than the current adoption value we state above. The U.S. EPA (2024a) Coalbed Methane Outreach Program showed fairly stable emission reductions of around 0.33 Mt/yr between 2016 and 2022. The annual methane emission abatement from this program gradually increased 2003–2011, followed by a continued trend of methane abatement at a slower rate 2011–2022. The IEA (2024b) found that the U.S. coal industry emitted almost 2.0 Mt of methane in 2023, and 60% of those emissions could be abated.

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Table 4. (2016–2023) adoption trend.

Unit: Mt/yr methane abated

25th percentile 0.46
Mean 0.60
Median (50th percentile) 0.60
75th percentile 0.73
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Adoption Ceiling

We found an adoption ceiling of about 40.3 Mt/yr of methane based on the IEA’s (2025) estimate for total methane emissions from the coal mine sector. We assumed that current CMM emissions would remain the same into the future with no changes in coal production or demand. Table 5 shows the adoption ceiling for coal mine methane abatement.

Even in the IEA’s (2023c) highest methane abatement energy scenario, only 93% of the methane emissions are reduced by 2050. This would still leave the coal sector releasing methane into the atmosphere. Reduced coal production will reduce the amount of methane emissions produced by the coal sector and consequently reduce the amount of methane that needs to be controlled with methane abatement. However, methane abatement will still be important for abating the remaining CMM emissions and the growing proportion of AMM emissions (IEA, 2023c, Kholod et al., 2020). 

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Table 5. Adoption ceiling.

Unit: Mt/yr of methane abated

Median (50th percentile) 40.30
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Achievable Adoption

The amount of methane that could be abated from CMM varies greatly depending on global coal demand. We estimate an achievable adoption range of 2.83–4.40 Mt/yr of methane abated. The Achievable – Low value aligns with the IEA (2023c) Announced Pledges scenario, in which all announced climate policies are met and full methane abatement is employed, but net-zero emissions are not achieved. This range of high and low values was determined by taking the total methane abated in these scenarios and dividing by the difference between the target year and 2024 to determine an average amount of methane abated each year to reach the scenario target. 

The Achievable – High value aligns with Ocko et al.(2021), where all economically and technically feasible methane abatement is employed by 2030. DeFabrizio et al. (2021) estimated that the degasification of underground mines and flaring would be the source of most methane abatement from coal mining, with degasification of surface mines abating a smaller proportion of methane over time. However, research from Kholod et al. (2020) suggested there will be an increase in AMM emissions as coal mines are closed. Methane emissions from AMM are not extensively monitored right now, and there is limited research on the topic. Methane abatement strategies will be needed to abate growing AMM emissions (Zhu et al, 2023). 

In addition, some research suggested CMM is being underestimated, with global emissions being as high as 67 Mt/yr (Assan & Whittle, 2023). If coal demand drops by 90%, as outlined in IEA’s Net Zero Emissions scenario, total coal methane emissions would decline to 3 Mt/yr, and the use of methane abatement would reduce emissions by 2 Mt/yr, leaving only 1 Mt/yr of CMM emitted in 2050. 

With growing interest and investment from governments and academia in identifying methane leaks using technologies such as satellite sensing (MethaneSAT, 2024), the opportunities for methane abatement will increase. Over 150 countries have joined the Global Methane Pledge (representing 50% of the world’s human-caused methane) to reduce methane emissions by 30% of 2020 emissions by 2030 (United Nations Environment Programme [UNEP], 2021). The IEA (2023a) found that even in a baseline scenario, many governments have announced or put in place measures to cut methane emissions; we would expect a growing trend in global methane abatement to occur. The IEA (2024c) states that in all scenarios global coal demand will decrease. Table 6 shows the statistical low and high achievable ranges for CMM abatement based on different sources for future uptake of CMM abatement.

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Table 6. Range of achievable adoption levels.

Unit: Mt/yr methane abated

Current adoption 0.59
Achievable – low 2.83
Achievable – high 4.40
Adoption ceiling 40.30
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We estimate that the coal industry is currently abating approximately 0.02 Gt CO₂‑eq/yr on a 100-yr basis and 0.03 Gt CO₂‑eq/yr on a 20-yr basis using methane abatement strategies. This is about 1% of total methane emissions emitted in 2024 (IEA, 2025). 

As the coal industry opens or closes coal mines due to changing coal demand, the opportunities for CMM abatement projects will change along with it. If coal demand gradually drops by 2050, more than 0.12 Gt CO₂‑eq/yr of methane could be abated. However, if coal demand drops more quickly from the implementation of energy and climate policies, the methane abatement potential would drop because the coal sector is producing less methane. This is projected in the different energy scenarios modeled by the IEA (2023c). The range between the current CMM abatement and the adoption ceiling is shown in Table 7.

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Table 7. Climate impact at different levels of adoption.

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current adoption 0.02
Achievable – low 0.08
Achievable – high 0.12
Adoption ceiling 1.12
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Additional Benefits

Health and Air Quality

Around 10% of anthropogenic methane comes from coal mines (IEA, 2024a). Methane released from coal mines contributes to ground-level ozone pollution, which can harm lung function, exacerbating conditions like asthma, bronchitis, and emphysema, and can contribute to premature mortality (Mar et al., 2022). Domingo et al. (2024) estimated that ground-level ozone accounted for about 6,600 excess deaths per year in about 400 cities globally. 

Methane released from coal mines also endangers workers’ safety in the mines, increasing the possibility of explosions, which are a significant source of fatalities and injuries (CDC, 2024). In the United States, from 2006 to 2011, mine explosions were responsible for about 25% of fatalities in the mining industry (CDC, 2024). While advances in methane mitigation technologies can prevent explosions and fatalities, mines across LMICs usually do not have methane mitigation protocols in place. Installing methane abatement strategies can potentially protect workers from such explosions (Tate, 2022).

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Risks

CMM abatement strategies could be implemented on a voluntary basis due to favorable natural gas prices, but if natural gas prices drop there is less economic incentive to abate methane (IEA, 2021). Without policy support enforcing methane abatement, emissions could continue, especially from VAM and AMM, which are more difficult to capture and use. Ensuring long-term monitoring and abatement of CMM can be challenging if coal mines are abandoned due to owners going bankrupt, leaving environmental damages unpaid for and remediation up to nearby communities or taxpayers (Ward et al., 2023). 

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Interactions with Other Solutions

Reinforcing

Managing coal methane can have a positive impact on other solutions that reduce methane release to the atmosphere. The use of technologies such as degasification systems, methane destruction, and Leak Detection and Repair (LDAR) in the coal mine sector can demonstrate the effectiveness and economic case for employing methane abatement. This would build momentum for the widespread adoption of methane abatement because successes in the coal sector can be leveraged and applied to other sectors. In addition, LDAR is a key part in identifying where we can abate methane emissions and lessons learned from the coal sector can be applied to other sites, as well as identifying methane leaks in general. 

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Competing

CMM management interacts negatively with solutions that provide clean electricity as this solution captures methane that can be used as an energy source, prolonging the use of natural gas infrastructure and reducing the cost of methane as a fuel source. 

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Dashboard

Solution Basics

Mt methane abated

t CO₂-eq (100-yr)/unit
2.79×10⁷
units/yr
Current 0.59 02.834.4
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.02 0.080.12
US$ per t CO₂-eq
-3
Emergency Brake

CH₄ , N₂O, BC

Trade-offs

Methane abatement strategies are a powerful tool to reduce methane emissions; however, providing a secondary source of revenue for coal mining could increase the profitability and longevity of some coal mines. A broad strategy to reduce reliance on coal as an energy resource is needed to reduce the amount of CMM generated. Even with methane abatement strategies in place, methane used as a fuel or destroyed through flaring will still emit GHGs and contribute to global climate change.

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Mt CO2–eq/yr
< 1
1–3
3–5
5–7
7–9
> 9

Annual emissions from coal mine sources, 2024

Globally, coal mines are responsible for 40 of the 354 Mt of anthropogenic methane emissions in 2024. This is equivalent to 1,116 Mt CO2-eq based on a 100-year GWP time scale. Methane emissions occur throughout the life of a coal mine and can continue after mines are closed or abandoned.

Lewis, C., Tate, R.D., and Mei, D.L. (2024). Fuel operations sector: Coal mining emissions methodology [Data set]. WattTime and Global Energy Monitor, Climate TRACE Emissions Inventory. Retrieved April 18, 2025, from Link to source: https://climatetrace.org

International Energy Agency. (2025). Global methane tracker documentation 2025 version. Link to source: https://iea.blob.core.windows.net/assets/2c0cf2d5-3910-46bc-a271-1367edfed212/GlobalMethaneTracker2025.pdf

Mt CO2–eq/yr
< 1
1–3
3–5
5–7
7–9
> 9

Annual emissions from coal mine sources, 2024

Globally, coal mines are responsible for 40 of the 354 Mt of anthropogenic methane emissions in 2024. This is equivalent to 1,116 Mt CO2-eq based on a 100-year GWP time scale. Methane emissions occur throughout the life of a coal mine and can continue after mines are closed or abandoned.

Lewis, C., Tate, R.D., and Mei, D.L. (2024). Fuel operations sector: Coal mining emissions methodology [Data set]. WattTime and Global Energy Monitor, Climate TRACE Emissions Inventory. Retrieved April 18, 2025, from Link to source: https://climatetrace.org

International Energy Agency. (2025). Global methane tracker documentation 2025 version. Link to source: https://iea.blob.core.windows.net/assets/2c0cf2d5-3910-46bc-a271-1367edfed212/GlobalMethaneTracker2025.pdf

Maps Introduction

Coal mine methane abatement is applicable in any area with coal mines. While China and the United States are the largest coal producers, Russia, Ukraine, Kazakhstan, and India also generated more than 10 Mt CO₂‑eq (100-yr) from coal mines in 2015 (GMI, 2015).

Levels of methane emissions from coal mines can vary geographically. The greatest abatement potential is in China, Kazakhstan, Australia, and several countries in Eastern Europe and Africa (Shindell et al., 2024). However, methane abatement is recommended for all coal mining activities, and high-income countries are in a position to share supportive technologies and practices for coal mine methane abatement with other coal-producing countries to reduce methane emissions from active and abandoned or closed mines.

Action Word
Manage
Solution Title
Coal Mine Methane
Classification
Highly Recommended
Lawmakers and Policymakers
  • Create policies based on global best practices, such as the IEA’s roadmap to implementing CMM regulations.
  • Require all coal mines to measure and report on methane emissions.
  • Invest in monitoring, reporting, and verification technologies, such as satellites, and support low-income countries in monitoring emissions.
  • Provide financial incentives, such as reduced taxes, subsidies, grants, low-interest loans, and feed-in tariffs, for adopting drainage and capture technologies suitable for the region.
  • Require closed and abandoned mines to be sealed and monitored.
  • Compile or update global inventories of the status of abandoned and closed mines.
  • When possible, do not approve the construction of new coal mines.
  • Require low-emitting technologies for equipment, coal processing, storage, and transportation.
  • Develop infrastructure to use captured CMM, including gas processing, grid connections, and industry capacity.
  • Establish clear resource rights to methane emitted from active and abandoned mines.
  • Include CMM recovery in Nationally Determined Contributions and other international reporting instruments.
  • Provide educational resources to industry leaders, including potential reduction options, workshops, actionable reports, direct engagements, and demonstrations.
  • Join, support, or create public initiatives such as the Global Methane Initiative, Global Methane Pledge, or Global Methane Hub.

Further information:

Practitioners
  • Use or destroy CMM to the maximum extent.
  • Work with policymakers to create policies based on global best practices, such as the IEA’s roadmap to implementing CMM regulations.
  • Measure and report on methane emissions.
  • Invest in monitoring, reporting, and verification technologies, such as satellites, and support low-income countries to monitor emissions.
  • Take advantage of any financial incentives, such as reduced taxes, subsidies, grants, low-interest loans, and feed-in tariffs, to adopt drainage and capture technologies suitable for the region.
  • Ensure abandoned and closed mines are sealed and monitored.
  • Compile or update global inventories of the status of abandoned and closed mines.
  • When possible, do not approve the construction of new coal mines.
  • Develop infrastructure to use captured CMM, including gas processing, grid connections, and industry capacity.
  • Assist policymakers in establishing clear resource rights to methane emitted from active and abandoned mines.
  • Use existing drainage systems for gas capture, utilization, and sale.
  • Improve technologies, such as thermal oxidizers, for the purposes of VAM destruction.
  • Partner with carbon markets that are linked to CMM abatement.
  • Improve CMM emissions modeling and monitoring, including satellites and on-the-ground methods.
  • Invest in research and development to improve extraction, capture, storage, transportation, and utilization technologies.
  • Join, support, or create public initiatives such as the GMI, Global Methane Pledge, or Global Methane Hub.
  • Educate industry leaders, including sharing potential reduction options, through workshops, actionable reports, direct engagements, and demonstrations.

Further information:

Business Leaders
  • Ensure that operations or investments that include coal mines utilize or destroy methane emissions.
  • Do not invest, plan to use, or create agreements with new coal mines.
  • Invest in high-integrity carbon markets that are linked to CMM abatement.
  • Invest in R&D to improve the efficiency of extraction, capture, storage, transportation, and utilization technologies.
  • Develop infrastructure to use captured CMM, including gas processing, grid connections, and industry capacity.
  • Utilize existing data sets such as the UN’s International Methane Emissions Observatory to inform current and future decisions.
  • Join, support, or create public initiatives such as the Global Methane Initiative, Global Methane Pledge, or Global Methane Hub.

Further information:

Nonprofit Leaders
  • Advocate for regulating CMM emissions and local policies based on global best practices, such as the IEA’s roadmap to implementing CMM regulations.
  • Assist coal mines in measuring and reporting or conducting independent studies on CMM emissions.
  • Advocate for financial incentives, such as reduced taxes, subsidies, grants, low-interest loans, and feed-in tariffs, for the adoption of drainage and capture technologies suitable for the region.
  • Advocate to stop the construction of new coal mines.
  • Compile or update global inventories of the status of abandoned and closed mines.
  • Help create high-integrity carbon markets that are linked to CMM abatement.
  • Provide educational resources to industry leaders, including potential reduction options, workshops, actionable reports, direct engagements, and demonstrations.
  • Join, support, or create public initiatives such as the Global Methane Initiative, Global Methane Pledge, or Global Methane Hub.

Further information:

Investors
  • Invest in monitoring, reporting, and verification technologies, such as satellites, and support low-income countries to monitor emissions.
  • Provide financial support through low-interest loans or green bonds to adopt drainage and capture technologies suitable for the region.
  • Do not invest in constructing new coal mines and require any existing investments to provide transparent emissions data and time-based reduction strategies.
  • Invest in R&D to improve the efficiency of extraction, capture, storage, transportation, and utilization technologies.
  • Develop infrastructure to use captured CMM, including gas processing, grid connections, and industry capacity.
  • Invest in high-integrity carbon markets that are linked to CMM abatement.
  • Join, support, or create public initiatives such as the Global Methane Initiative, Global Methane Pledge, or Global Methane Hub.

Further information:

Philanthropists and International Aid Agencies
  • Invest in monitoring, reporting, and verification technologies, such as satellites, and support low-income countries to monitor emissions.
  • Provide financial support to adopt drainage and capture technologies suitable for the region.
  • Invest in R&D to improve the efficiency of extraction, capture, storage, transportation, and utilization technologies.
  • Assist in establishing clear resource rights to methane emitted from active and abandoned mines.
  • Help create high-integrity carbon markets that are linked to CMM abatement.
  • Join, support, or create public initiatives such as the Global Methane Initiative, Global Methane Pledge, or Global Methane Hub.
  • Provide educational resources to industry leaders, including potential reduction options, workshops, actionable reports, direct engagements, and demonstrations.
  • Advocate for regulating CMM emissions and local policies based on global best practices, such as the IEA’s roadmap to implementing CMM regulations.
  • Compile or update global inventories of the status of abandoned and closed mines.

Further information:

Thought Leaders
  • Advocate for regulating CMM emissions and local policies based on global best practices, such as the IEA’s roadmap to implementing CMM regulations.
  • Assist coal mines in measuring and reporting or conducting independent studies on CMM emissions.
  • Advocate for financial incentives, such as reduced taxes, subsidies, grants, low-interest loans, and feed-in tariffs, for adopting drainage and capture technologies suitable for the region.
  • Assist in establishing clear resource rights to methane emitted from active and abandoned mines.
  • Advocate to stop the construction of new coal mines.
  • Compile or update global inventories of the status of abandoned and closed mines.
  • Help create high-integrity carbon markets that are linked to CMM abatement.
  • Provide educational resources to industry leaders, including potential reduction options, workshops, actionable reports, direct engagements, and demonstrations.
  • Join, support, or create public initiatives such as the Global Methane Initiative, Global Methane Pledge, or Global Methane Hub.

Further information:

Technologists and Researchers
  • Improve CMM emissions modeling and monitoring, including satellites and on-the-ground methods.
  • Compile or update global inventories of the status of abandoned and closed mines.
  • Develop infrastructure to use captured CMM, including gas processing, grid connections, and industry capacity.
  • Discover ways to utilize existing drainage systems for gas capture, utilization, and sale.
  • Improve technologies, such as thermal oxidizers, for the purposes of VAM destruction.
  • Develop new ways to improve extraction, capture, storage, transportation, and utilization technologies.
  • Develop verifiable carbon credits using technology such as blockchain to improve the integrity of carbon markets.
  • Improve the efficiency of mining equipment to reduce maintenance requirements and costs.

Further information:

Communities, Households, and Individuals
  • Advocate for regulating CMM emissions and local policies based on global best practices, such as the IEA’s roadmap to implementing CMM regulations.
  • Advocate for financial incentives, such as reduced taxes, subsidies, grants, low-interest loans, and feed-in tariffs, for the adoption of drainage and capture technologies suitable for the region.
  • Advocate to stop the construction of new coal mines.
  • Assist coal mines in measuring and reporting or conducting independent studies on CMM emissions.
  • Provide educational resources to industry leaders, including potential reduction options, workshops, actionable reports, direct engagements, and demonstrations.
  • Join, support, or create public initiatives such as the Global Methane Initiative, Global Methane Pledge, or Global Methane Hub.

Further information:

Sources
Evidence Base

Consensus of effectiveness of abating methane emissions from coal mines: High

There is a high level of consensus about the effectiveness of methane abatement strategies. These strategies can be deployed cost effectively in many cases and have an immediate impact on reducing global temperature rise. 

Authoritative sources such as the IEA (2024c) and UNEP (2021) agree that reducing methane emissions can noticeably slow global climate change. Methane is a short-lived climate pollutant that has a much stronger warming effect than CO₂ over a given time period. IEA (2023d) identified that close to 55% (22 Mt) of CMM emissions could be abated with existing technologies. However, there are significant challenges in measuring and recovering methane emissions in the coal sector. Analysis from Assan & Whittle (2023) found that global CMM emissions could be significantly higher than reported, 38–67 Mt/yr compared with the 40 Mt/yr reported by the IEA (2025).

The IEA (2023a) noted that more than half of CMM emissions could be abated through utilization, flaring, or oxidation technologies, with abatement being more practical for underground mines. Many studies (DeFabrizio et al., 2021; Malley et al., 2023; Shindell et al., 2024) have shown that methane abatement strategies can use existing technologies, often at low cost. In some countries, coal operators already identify the location and sources of CMM to meet health and safety regulations (Assan & Whittle, 2023); Setiawan & Wright (2024) noted that existing technologies such as pre-mine drainage and VAM mitigation have been proven in various places around the world over the past 25 years. According to UNEP (2021), coal methane abatement could reduce emissions by 12–25 Mt/yr, with up to 98% of the measures implemented at low cost. However, costs may vary significantly based on the available infrastructure and characteristics of an individual coal mine.

The results presented in this document summarize findings from 21 reviews and meta-analyses and 20 original studies reflecting current evidence from three countries (Australia, China, and the United States) as well as from sources examining global CMM emissions. We recognize this limited geographic scope creates bias, and hope this work inspires research and data sharing on this topic in underrepresented regions.

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Appendix

CMM abatement strategy constraints:

The type of coal mine, the amount of methane produced, and the available infrastructure greatly affect which abatement strategies are economical. Underground coal mines often produce more CMM and are likely to capture CMM using degasification systems and use it for productive purposes such as electricity generation or selling captured methane. However, VAM, which is a major part of CMM emissions, can be challenging to use for productive purposes due to the low methane concentrations. VAM requires regenerative thermal oxidation technology to effectively destroy and with more gassy coal mines. According to the IEA (2023b), technologies such as flaring and drained CMM can be used at less gassy mines with lower initial capital cost. Capturing methane for destruction has the disadvantage of not creating a source of revenue to offset the capital cost of methane abatement without a form of carbon markets in place. 

More than 60% of methane-related emissions from coal mining are from the ventilation of underground coal mines. Large amounts of fresh air are used to lower the concentration of methane and reduce the risk of explosions in underground mines. This makes it challenging to destroy or use the low concentrations of VAM (UNEP, 2022). It is also challenging to capture methane from surface mines because the coal is in direct contact with the atmosphere and over a larger surface area. However, thermal oxidation systems have been used to destroy VAM (U.S. EPA, 2019) and there have been examples of degasification systems used for surface mines as well (IEA, 2023b). Methane emissions from AMM can be dealt with by flooding underground mines with water (Kholod et al., 2020) or by sealing and using capture and utilization projects (Zhu et al., 2023). 

Technologies for reducing methane emissions can be divided between underground and surface coal mines:

Underground mines
  • Predainage prior to mining
  • VAM capture and utilization
  • Capture of abandoned mine gas
  • Sealing or flooding of abandoned mines 
Surface mines
  • Degasification of surface mines
  • Predrainage of surface mines

Appendix References

CNX. (2024, March 20). Jumpstarting coal mine methane capture projects for beneficial end use [PowerPoint slides].Global Methane Initiative. https://www.globalmethane.org/resources/details.aspx?resourceid=5386 

United Nations Economic Commission for Europe (UNECE). (2019). Best practice guidance for effective methane recovery and use from abandoned coal mines. https://unece.org/fileadmin/DAM/energy/images/CMM/CMM_CE/Best_Practice_Guidance_for_Effective_Methane_Recovery_and_Use_from_Abandoned_Coal_Mines_FINAL__with_covers_.pdf 

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