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Deploy Silvopasture

Submitted by Drawdown Admin on
Sector
Nature-Based Carbon Removal
Mode
Remove Carbon
Cluster
Shift Agriculture Practices
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Cows grazing among trees
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Summary

We define the Deploy Silvopasture solution as the adoption of agroforestry practices that add trees to grazing land, including planted pastures and natural rangelands. (Note that this solution does NOT include creating forested grazing land by thinning existing forest; this is a form of deforestation and not desirable in terms of climate.) Some silvopastures are open savannas, while others are dense, mature tree plantations. The trees may be planted or managed to naturally regenerate. Some silvopasture systems have been practiced for thousands of years, while others have been recently developed. All provide shade to livestock; in some systems, the trees feed livestock, produce timber or crops for human consumption, or provide other benefits.

Income & work,Food security
Animal well-being
Overview

In silvopasture systems, trees are planted or allowed to naturally regenerate on existing pasture or rangeland. Tree density is generally low, allowing sunlight through for good forage growth.

Silvopasture has multiple climate impacts, though carbon sequestration is the only one which has been thoroughly studied across all climates and sub-practices.

Silvopasture sequesters carbon in both soil and woody biomass. Carbon sequestration rates are among the highest of any farming system (Toensmeier, 2017). The lifetime accumulation of carbon in both soils and biomass is higher than for managed grazing alone (Montagnini et al., 2019; Nair et al., 2012).

Silvopasture can also reduce GHG emissions, though not in every case. We do not include emissions reductions in this analysis.

Conversion from pasture to silvopasture slightly increases capture and storage of methane in soils (Bentrup and Shi, 2024). In addition, in fodder subtypes of silvopasture systems, ruminant livestock consume tree leaves or pods. Many, but not all, of the tree species used in these systems have tannin content that reduces emissions of methane from enteric fermentation (Jacobsen et al., 2019). 

Some subtypes of silvopasture reduce nitrous oxide emissions from manure and urine, as grasses and trees capture nitrogen that microbes would otherwise convert to nitrous oxide. There are also reductions to nitrous oxide emissions from soils: 76–95% in temperate silvopastures and 16–89% in tropical-intensive silvopastures (Ansari et al., 2023; Murguietio et al., 2016).

Many silvopasture systems increase productivity of milk and meat. Yield increases can reduce emissions from deforestation by growing more food on existing farmland, but in some cases can actually worsen emissions if farmers clear forests to adopt the profitable practice (Intergovernmental Panel on Climate Change [IPCC], 2019). The yield impact of silvopasture varies with tree density, climate, system type, and whether the yields of other products (e.g., timber) are counted as well (Rojas et al., 2022). 

References

Ansari, J., Udawatta, R. P., & Anderson, S. H. (2022). Soil nitrous oxide emission from agroforestry, rowcrop, grassland and forests in North America: a review. Agroforestry Systems, 97(8), 1465-1479. https://doi.org/10.1007/s10457-023-00870-y

Batcheler, M., Smith, M. M., Swanson, M. E., Ostrom, M., & Carpenter-Boggs, L. (2024). Assessing silvopasture management as a strategy to reduce fuel loads and mitigate wildfire risk. Scientific Reports, 14(1), 5954. https://doi.org/10.1038/s41598-024-56104-3

Bentrup, G. & Shi, X. (2024) Multifunctional buffers: Design guidelines for buffers, corridors and greenways. USDA Forest Service. 

Bostedt, G., Hörnell, A., & Nyberg, G. (2016). Agroforestry extension and dietary diversity–an analysis of the importance of fruit and vegetable consumption in West Pokot, Kenya. Food Security, 8, 271-284.

Briske, D. D., Vetter, S., Coetsee, C., & Turner, M. D. (2024). Rangeland afforestation is not a natural climate solution. Frontiers in Ecology and the Environment. https://doi.org/10.1002/fee.2727

Cadavid, Z., & BE, S. T. (2020). Sistemas silvopastoriles: aspectos teóricos y prácticos. CIPAV.

Cardinael, R., Umulisa, V., Toudert, A., Olivier, A., Bockel, L., & Bernoux, M. (2019). Revisiting IPCC Tier 1 coefficients for soil organic and biomass carbon storage in agroforestry systems. Environmental Research Letters, 13(12), 124020. 10.1088/1748-9326/aaeb5f

Chapman, M., Walker, W.S., Cook-Patton, S.C., Ellis, P.W., Farina, M., Griscom, B.W., & Baccani, A. (2019) Large climate mitigation potential from adding trees to agricultural lands Global Change Biology, 26 (80), 4357-4365. https://doi.org/10.1111/gcb.15121

Chatterjee, N., Nair, P. R., Chakraborty, S., & Nair, V. D. (2018). Changes in soil carbon stocks across the forest-agroforest-agriculture/pasture continuum in various agroecological regions: A meta-analysis. Agriculture, ecosystems & environment, 266, 55-67. https://doi.org/10.1016/j.agee.2018.07.014

Damania, Richard; Polasky, Stephen; Ruckelshaus, Mary; Russ, Jason; Amann, Markus; Chaplin-Kramer, Rebecca; Gerber, James; Hawthorne, Peter; Heger, Martin Philipp; Mamun, Saleh; Ruta, Giovanni; Schmitt, Rafael; Smith, Jeffrey; Vogl, Adrian; Wagner, Fabian; Zaveri, Esha. 2023. Nature's Frontiers: Achieving Sustainability, Efficiency, and Prosperity with Natural Capital. Environment and Sustainable Development series. Washington, DC: World Bank

de Sherbinin, A., VanWey, L. K., McSweeney, K., Aggarwal, R., Barbieri, A., Henry, S., Hunter, L. M., Twine, W., & Walker, R. (2008). Rural household demographics, livelihoods and the environment. Global Environmental Change, 18(1), 38–53. https://doi.org/10.1016/j.gloenvcha.2007.05.005

Den Herder, M., Moreno, G., Mosquera-Losada, R. M., Palma, J. H., Sidiropoulou, A., Freijanes, J. J. S., & Burgess, P. J. (2017). Current extent and stratification of agroforestry in the European Union. Agriculture, Ecosystems & Environment, 241, 121-132. https://doi.org/10.1016/j.agee.2017.03.005

Di Prima, S., Wright, E. P., Sharma, I. K., Syurina, E., & Broerse, J. E. W. (2022). Implementation and scale-up of nutrition-sensitive agriculture in low- and middle-income countries: A systematic review of what works, what doesn’t work and why. Global Food Security, 32, 100595. https://doi.org/10.1016/j.gfs.2021.100595

deStefano, A, & Jacobson, M.G. (2018) Soil carbon sequestration in agroforestry systems: A review. Agroforestry Systems, 92, 285-299. https://doi.org/10.1007/s13593-014-0212-y

Dudley, N., Eufemia, L., Fleckenstein, M., Periago, M. E., Petersen, I., & Timmers, J. F. (2020). Grasslands and savannahs in the UN Decade on Ecosystem Restoration. Restoration Ecology, 28(6), 1313-1317 https://doi.org/10.1111/rec.13272

Dupraz, C, and Liagre, F.(2011) Agroforesterie: Des Arbres et des Cultures. Editions France Agricole.

FAO Statistical Service (2024) FAOStat. https://www.fao.org/faostat/en/

Feliciano, D., Ledo, A., Hillier, J., & Nayak, D. R. (2018). Which agroforestry options give the greatest soil and above ground carbon benefits in different world regions?. Agriculture, ecosystems & environment, 254, 117-129. https://doi.org/10.1016/j.agee.2017.11.032

Frelat, R., Lopez-Ridaura, S., Giller, K. E., Herrero, M., Douxchamps, S., Djurfeldt, A. A., Erenstein, O., Henderson, B., Kassie, M., Paul, B. K., Rigolot, C., Ritzema, R. S., Rodriguez, D., Van Asten, P. J. A., & Van Wijk, M. T. (2016). Drivers of household food availability in sub-Saharan Africa based on big data from small farms. Proceedings of the National Academy of Sciences of the United States of America, 113(2), 458–463. https://doi.org/10.1073/pnas.1518384112

Garrett, H. E., Kerley, M. S., Ladyman, K. P., Walter, W. D., Godsey, L. D., Van Sambeek, J. W., & Brauer, D. K. (2004). Hardwood silvopasture management in North America. In New Vistas in Agroforestry: A Compendium for 1st World Congress of Agroforestry, 2004 (pp. 21-33). Springer Netherlands.

Goracci, J., & Camilli, F. (2024). Agroforestry and animal husbandry. IntechOpen. doi: 10.5772/intechopen.1006711

Government of Colombia 2020 Actualización de la Contribución Determinada a Nivel Nacional de Colombia. Government of Colombia.

Greene, H., Kazanski, C. E., Kaufman, J., Steinberg, E., Johnson, K., Cook-Patton, S. C., & Fargione, J. (2023). Silvopasture offers climate change mitigation and profit potential for farmers in the eastern United States. Frontiers in Sustainable Food Systems, 7, 1158459.

Hart, D.R.T, Yeo, S, Almaraz, M, Beillouin, D, Cardinael, R, Garcia, E, Kay, S, Lovell, S.T., Rosenstock, T.S., Sprenkle-Hyppolite, S, Stolle, F, Suber, M, Thapa, B, Wood, S & Cook-Patton, S.C (2023). “Priority science can accelerate agroforestry as a natural climate solution”. Nature Climate Change. https://doi.org/10.5281/zenodo.8209212

Husak, A. L., & Grado, S. C. (2002). Monetary benefits in a southern silvopastoral system. Southern Journal of Applied Forestry, 26(3), 159-164 https://doi.org/10.1093/sjaf/26.3.159

IPCC (2019). 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 [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.)]. 

IPCC AR6 WG3 (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. doi: 10.1017/9781009157926

Jacobsen (2019) “Secondary metabolites in leaf hay as a mitigation option for enteric methane production in ruminants”. Aarhus University. 

Jose, S., & Dollinger, J. (2019). Silvopasture: a sustainable livestock production system. Agroforestry systems, 93, 1-9. https://doi.org/10.1007/s10457-019-00366-8

Lal, R., Smith, P., Jungkunst, H. F., Mitsch, W. J., Lehmann, J., Nair, P. R., & Ravindranath, N. H. (2018). The carbon sequestration potential of terrestrial ecosystems. Journal of soil and water conservation, 73(6), 145A-152A. https://doi.org/10.2489/jswc.73.6.145A

Lee, S., Bonatti, M, Löhe, K, Palacios, V., Lana, M.A., and Sieber, S (2020) “Adoption potentials and barriers of silvopastoral systems in Colombia: Case of Cundinamarca region” Cogent Environmental Science 6(1). https://doi.org/10.1080/23311843.2020.1823632

Lemes, A. P., Garcia, A. R., Pezzopane, J. R. M., Brandão, F. Z., Watanabe, Y. F., Cooke, R. F., ... & Gimenes, L. U. (2021). Silvopastoral system is an alternative to improve animal welfare and productive performance in meat production systems. Scientific Reports, 11(1), 14092. https://doi.org/10.1038/s41598-021-93609-7

Lorenz, K., & Lal, R. (2018). Carbon sequestration in agricultural ecosystems. Springer, Cham. 

Mehrabi, Z., Tong, K., Fortin, J., Stanimirova, R., Friedl, M., & Ramankutty, N. (2024). Global agricultural lands in the year 2015. Earth System Science Data Discussions, 2024, 1-44. https://doi.org/10.5194/essd-2024-279

Montagnini, F (2019). “Función de los sistemas agroforestales en la adaptación y mitigación del cambio climático”. Sistemas agroforestales: Funciones productivas, socioeconómicas y ambientales, 269-299.

Murgueitio, E., Uribe, F., Molina, C., Molina, E., Galindo, W., Chará, J., & González, J. (2016). Establecimiento y manejo de sistemas silvopastoriles intensivos con Leucaena. Editorial CIPAV, Cali, Colombia. 

Nair, P.K. R. (2012) “Climate change mitigation: A low-hanging fruit of agroforestry”. Agroforestry: The future of global land use, 31-69.

Ortiz, J., Neira, P., Panichini, M., Curaqueo, G., Stolpe, N. B., Zagal, E., & Gupta, S. R. (2023). Silvopastoral systems on degraded lands for soil carbon sequestration and climate change mitigation. Agroforestry for Sustainable Intensification of Agriculture in Asia and Africa, 207-242.

Pent, G. J. (2020). Over-yielding in temperate silvopastures: a meta-analysis. Agroforestry Systems, 94(5), 1741-1758. https://doi.org/10.1007/s10457-020-00494-6

Pezo, D., Ríos, N., Ibrahim, M., & Gómez, M. (2018). Silvopastoral systems for intensifying cattle production and enhancing forest cover: the case of Costa Rica. Washington, DC: World Bank.

Poudel, S., Pent, G., & Fike, J. (2024). Silvopastures: Benefits, past efforts, challenges, and future prospects in the United States. Agronomy, 14(7), 1369.

Quandt, A, Neufeldt, G, & Gorman, K (2023). “Climate change adaptation through agroforestry: Opportunities and gaps”. Current Opinion in Environmental Sustainability. 60, 101244. https://doi.org/10.1016/j.cosust.2022.101244

Rivera, J. E., Serna, L., Arango, J., Barahona, R., Murgueitio, E., Torres, C. F., & Chará, J. (2023). Silvopastoral systems and their role in climate change mitigation and Nationally Determined Contributions in Latin America. In Silvopastoral systems of Meso America and Northern South America (pp. 25-53). Cham: Springer International Publishing.

Rojas, D, & Rodriguez Anido, N. (2022) Potential of silvopastoral systems for the mitigation of greenhouse gasses generated in the production of bovine meat. In Sistemas silvopastoriles: Hacia una diversificación sostenible. CIPAV.

Riset, J.Å., Tømmervik, H. & Forbes, B.C. (2019) “Sustainable and resilient reindeer herding”. In Reindeer Caribou Health Dis, (23–43). 

Shelton (2021) Leucaena: The productive and sustainable forage legume. University of Queensland.

Shi, L., Feng, W., Xu, J., & Kuzyakov, Y. (2018). Agroforestry systems: Meta‐analysis of soil carbon stocks, sequestration processes, and future potentials. Land Degradation & Development, 29(11), 3886-3897. https://doi.org/10.1002/ldr.3136

Smith, M. M., Bentrup, G., Kellerman, T., MacFarland, K., Straight, R., Ameyaw, L., & Stein, S. (2022). Silvopasture in the USA: A systematic review of natural resource professional and producer-reported benefits, challenges, and management activities. Agriculture, Ecosystems & Environment, 326, 107818. https://doi.org/10.1016/j.agee.2021.107818

Sprenkle-Hyppolite, S. Griscom, B., Griffey, V., Munshi, E., Chapman, M. (2024) “Maximizing tree carbon in cropland and grazing lands while sustaining yields”. Carbon Balance and Management 19:23. https://doi.org/10.1186/s13021-024-00268-y

Toensmeier, E. (2017). Perennial staple crops and agroforestry for climate change mitigation. Integrating landscapes: Agroforestry for biodiversity conservation and food sovereignty, 439-451.

Udawatta, R. P., Walter, D., & Jose, S. (2022). Carbon sequestration by forests and agroforests: A reality check for the United States. Carbon footprints, 1(8). 10.20517/cf.2022.06 

Zeppetello, L. R. V., Cook-Patton, S. C., Parsons, L. A., Wolff, N. H., Kroeger, T., Battisti, D. S., ... & Masuda, Y. J. (2022). Consistent cooling benefits of silvopasture in the tropics. Nature communications, 13(1), 708. https://doi.org/10.1038/s41467-022-28388-4

Credits

Lead Fellow

  • Eric Toensmeier

Contributors

  • Ruthie Burrows, Ph.D.

  • Yusuf Jameel, Ph.D.

  • Daniel Jasper

Internal Reviewers

  • Aiyana Bodi

  • Hannah Henkin

  • Ted Otte

  • Paul West, Ph.D.

Effectiveness

We found a median carbon sequestration rate of 9.81 t CO₂/ha/yr (Table 1). This is based on an above-ground biomass (tree trunks and branches) accumulation rate of 6.43 t CO₂/ha/yr and a below-ground biomass (roots) accumulation rate of 1.61 t CO₂/ha/yr using a root-to-shoot ratio of 0.25 (Cardinael et al., 2019). These are added to the soil organic carbon sequestration rate of 1.76 t CO₂/ha/yr to create the combined total.

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Table 1. Carbon sequestration.

Unit: t CO₂-eq/ha/yr

25th percentile 4.91
mean 14.70
median (50th percentile) 9.81
75th percentile 20.45

100-yr basis

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Reductions in nitrous oxide and methane and sustainable intensification impacts are not yet quantifiable to the degree that they can be used in climate mitigation projections.

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Cost

Because baseline grazing systems are already extensive and well established, we assumed there is no cost to establish new baseline grazing land. In the absence of global data sets on costs and revenues of grazing systems, we used a global average profit per hectare of grazing land of US$6.28 from Damnnia et al. (2023).

Establishment costs of silvopasture vary widely. We found the cost to establish one hectare of silvopasture to be US$1.06–4,825 (Dupraz & Liagre, 2011; Lee et al., 2011). Reasons for this wide range include the low cost of natural regeneration and the broad range in tree density depending on the type of system. We collected costs by region and used a weighted average to obtain a global net net cost value of US$424.20.

Cost and revenue data for silvopasture were insufficient. However, data on the impact on revenues per hectare are abundant. Our analysis found a median 8.7% increase in per-hectare profits from silvopasture compared with conventional grazing, which we applied to the average grazing value to obtain a net profit of US$6.82/ha. This does not reflect the very high revenues of silvopasture systems in some countries.

We calculated cost per t CO₂‑eq sequestered by dividing net net cost/ha by total CO₂‑eq sequestered/ha.

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Table 2. Cost per unit of climate impact.

Unit: 2023 US$/t CO₂-eq

median $43.25

100-yr basis & 20-yr basis are the same.

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Learning Curve

There is not enough information available to determine a learning curve for silvopasture. However, anecdotal evidence showed establishment costs decreasing as techniques for broadscale mechanized establishment were developed in Australia and Colombia (Murguietio et al., 2016; Shelton et al., 2021).

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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.

Deploy Silvopasture is a DELAYED climate solution. It works more slowly than nominal or emergency brake solutions. Delayed solutions can be robust climate solutions, but it’s important to recognize that they realize their full potential for some time.

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Caveats

Permanence

Living biomass and soil organic matter only temporarily hold carbon (decades to centuries for soil organic matter, and for the life of the tree or any long-lived products made from its wood in the case of woody biomass). Sequestered carbon in both soils and biomass is vulnerable to fire, drought, long-term shifts to a drier precipitation regime, and other climate change impacts, as well as to a return to the previous farming or grazing practices. Such disturbances can cause carbon to be re-emitted to the atmosphere (Lorenz & Lal, 2018). 

Saturation

Like all upland, terrestrial agricultural systems, over the course of decades, silvopastures reach saturation and net sequestration slows to nearly nothing (Lorenz & Lal, 2018). 

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Current Adoption

Lack of data on the current adoption of silvopasture is a major gap in our understanding of the potential of this solution. One satellite imaging study found 156 million ha of grazing land with over 10 t C/ha in above-ground biomass, which is the amount that indicates more than grass alone (Chapman et al., 2019). However, this area includes natural savannas, which are not necessarily silvopastures, and undercounts the existing 15.1 million ha of silvopasture known to be present in Europe (den Herder et al., 2017).

Sprenkle-Hippolite et al. (2024) estimated a current adoption of 141.4 Mha, or 6.0% of grazing land (Table 3). We have chosen this more recent figure as the best available estimate of current adoption.

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Table 3. Current (2023) adoption level.

Unit: million ha

mean 141.4
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Adoption Trend

There is little quantifiable information reported about silvopasture adoption.

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Adoption Ceiling

Grazing is the world’s largest land use at 2,986 million ha (Mehrabi et al., 2024). Much grazing land is too dry for trees, while other grasslands that were not historically forest or savanna should not be planted with trees in order to minimize water use and protect grassland habitat (Dudley et al., 2020). Three studies estimated the total potential area suitable for silvopasture (including current adoption). 

Lal et al. (2018) estimated the technical potential for silvopasture adoption at 550 Mha.

Chapman et al. (2019) estimated the suitable area for increased woody biomass on grazing land as 1,890 Mha. 

Sprenkle-Hippolite (2024) assessed the maximum area of grazing land to which trees could be added without reducing livestock productivity. They calculated a total of 1,589 Mha, or 67% of global grazing land (Table 4). To our knowledge, this is the most accurate estimate available. 

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Table 4. Adoption ceiling.

Unit: ha installed

25th percentile 1,069,000,000
mean 1,343,000,000
median (50th percentile) 1,588,000,000
75th percentile 1,739,000,000

Unit: % of grazing land

25th percentile 45
mean 36
median (50th percentile) 53
75th percentile 58
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Achievable Adoption

In our Achievable – High scenario, global silvopasture starts at 141.4 million ha and grows at the Colombian Nationally Determined Contribution growth rate of 6.5%/yr. This would provide the high end of the achievable potential at 206.3 million ha by 2030, of which 64.9 million ha are newly adopted (Table 5). For the Achievable – Low scenario, we chose 1/10 of Colombia’s projected growth rate. This would provide 147.0 million ha of adoption by 2030, of which 5.6 million ha are new.

Few estimates of the global adoption potential of silvopasture are available, and even those for the broader category of agroforestry are rare due to the lack of solid data on current adoption and growth rates (Shi et al., 2018; Hart et al., 2023). The IPCC estimates that, for agroforestry overall, 19.5% of the technical potential is economically achievable (IPCC AR6 WG3, 2022). Applying this rate to Sprenkle-Hippolite’s estimated 1,588 million ha technical potential yields an achievable potential of 310 million ha of convertible grazing land.

Our high adoption rate reaches 13% of the adoption ceiling by 2030. This suggests that silvopasture represents a large but relatively untapped potential that will require aggressive policy action and other incentives to spur scaling.

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Table 5. Range of achievable adoption levels.

Unit: million ha

Current Adoption 141.4
Achievable – Low 147.0
Achievable – High 206.3
Adoption Ceiling 1,588.0

Unit: million ha

Current Adoption 0.00
Achievable – Low 5.6
Achievable – High 64.9
Adoption Ceiling 1,447.4
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Carbon sequestration continues only for a period of decades; because silvopasture is an ancient practice with some plantings centuries old, we could not assume that previously adopted hectares continue to sequester carbon indefinitely. Thus, we make the conservative choice to calculate carbon sequestration only for newly adopted hectares.

Carbon sequestration impact is 0.00 Gt CO₂‑eq/yr for current adoption, 0.05 for Achievable – Low, 0.64 for Achievable – High, and 14.20 for our Adoption Ceiling.

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Table 6. Climate impact at different levels of adoption.

Unit: Gt CO₂-eq/yr

Current Adoption 0.00
Achievable – Low 0.05
Achievable – High 0.64
Adoption Ceiling 14.20

100-yr basis, New adoption only 

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Lal et al. (2018) estimated a technical global carbon sequestration potential of 0.3–1.0 Gt CO₂‑eq/yr. Sprenkle-Hyppolite et al. (2024) estimated a silvopasture technical potential of 1.4 Gt CO₂‑eq/yr, which assumes a tree density of 2–6 trees/ha, which is substantially lower than typical silvopasture. For agroforestry overall (including silvopasture and other practices), the IPCC estimates an achievable potential of 0.8 Gt CO₂‑eq/yr and a technical potential of 4.0 Gt CO₂‑eq/yr.

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Additional Benefits

Food Security

While evidence on the impact of silvopasture on yields is mixed, this practice can improve food security by diversifying food production and income sources (Bostedt et al., 2016; Smith et al., 2022). In pastoralists in Kenya, Bostedt et al. (2016) found that agroforestry practices were associated with increased dietary diversity, an important aspect of food and nutrition security. Diverse income streams can mediate household food security during adverse conditions, such as droughts or floods, especially in low- and middle-income countries (de Sherbinin et al., 2007; Di Prima et al., 2022; Frelat et al., 2016). 

Income & Work 

Silvopasture can also increase and diversify farmer income. Tree fruit and timber often provide additional income for ranchers. A study in the southern United States showed that silvopasture systems generated 10% more income than standalone cattle production (Husak and Grado et al., 2002). A more comprehensive analysis across the eastern United States (Greene et al., 2023) found that virtually all silvopasture systems assessed had a positive 20- and 30-yr internal rate of return (IRR). For some systems, the 30-yr IRR can be >15% (Greene et al., 2023).

Animal Well-being

By providing shade, silvopasture systems reduce heat stress experienced by livestock. Heat stress for cattle begins at 30 °C or even lower in some circumstances (Garrett et al., 2004). In the tropics, the cooling effect of integrating trees into a pastoral system is 0.32–2.4 °C/t of woody carbon added/ha (Zeppetello et al., 2022). Heifers raised in silvopasture systems had higher body mass and more optimal body temperature than those raised in intensive rotational grazing systems (Lemes et al., 2021). Improvement in livestock physiological conditions probably results from access to additional forage, increased livestock comfort, and reduced heat stress in silvopastoral systems. Silvopasture is highly desirable for its improvements to animal welfare (Goracci & Camilli, 2024).

Nature protection

Trees boost habitat availability, enhance landscape connectivity, and aid in forest regeneration and restoration. In most climates they provide a major boost to biodiversity compared with pasture alone (Smith et al., 2022; Pezo et al., 2018). 

Water quality

Perennials in silvopasture systems could reduce runoff and increase water infiltration rates relative to open rangelands (Smith et al., 2022; Pezo et al., 2018). This increases the resilience of the system during drought and high heat. 

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Risks

Some of the tree and forage species used in silvopastures are invasive in certain contexts. For example, river tamarind (Leucaena leucocephala) is a centerpiece in intensive silvopasture in Latin America, where it is native, but also in Australia, where it is not. Australian producers have developed practices to limit or prevent its spread (Shelton et al., 2021).

Livestock can damage or kill young trees during establishment. Protecting trees or excluding grazing animals during this period increases costs (Smith et al., 2022).

Poorly designed tree layout can make herding, haying, fencing, and other management activities more difficult. Tree densities that are too high can reduce livestock productivity (Cadavid et al., 2020).

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Interactions with Other Solutions

Reinforcing

Silvopasture represents a way to produce some ruminant meat and dairy in a more climate-friendly way. This impact can contribute to addressing emissions from ruminant production, but only as part of a program that strongly emphasizes diet change and food waste reduction.

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Forms of silvopasture that increase milk and meat yields can reduce pressure to convert undeveloped land to agriculture.

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Silvopasture is a technique for restoring farmland.

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Silvopasture is a form of savanna restoration.

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Competing

Silvopasture and forest restoration can compete for the same land. 

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Silvopasture is a kind of agroforestry, though in this iteration of Project Drawdown “Deploy Agroforestry” refers to crop production systems only. With that said, some agroforestry systems integrate both crops and livestock with the trees, such as the widespread parkland systems of the African Sahel.

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Dashboard

Solution Basics

1 ha converted from grazing land to silvopasture

tCO2-eq/unit/yr
9.81
units
Current 05.6×10⁶6.49×10⁷
Achievable (Low to High)

Climate Impact

GtCO2-eq/yr
Current 0 0.050.64
US$ per tCO2-eq
43
Delayed

CO₂

Trade-offs

Solutions that improve ruminant production could undermine the argument for reducing ruminant protein consumption in wealthy countries. 

Certain silvopasture systems reduce per-hectare productivity of meat and milk, even if overall productivity increases when the yields of timber or food from the tree component are included. For example, silvopasture systems that are primarily focused on timber production, with high tree densities, will have lower livestock yields than pasture alone - though they will have high timber yields.

The costs of establishment are much higher than those of managed grazing. There is also a longer payback period (Smith et al., 2022). These limitations mean that secure land tenure is even more important than usual, to make adoption worthwhile (Poudel et al., 2024).

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Geographic Guidance Introduction

Silvopasture is primarily appropriate for grazing land that receives sufficient rainfall to support tree growth. While it can be implemented on both cropland and grassland, if adopted on cropland, it will reduce food yield because livestock produce much less food per hectare than crops. In the humid tropics, a particularly productive and high-carbon variation called intensive silvopasture is an option. Ideally, graziers will have secure land tenure, though pastoralist commons have been used successfully.

Areas too dry to establish trees (<450 mm annual precipitation) are not suitable for silvopasture by tree planting, but regions that can support natural savanna may be suitable for managed natural regeneration.

Most silvopasture today appears in sub-Saharan Africa (Chapman et al., 2019), though this may reflect grazed natural savannas rather than intentional silvopasture. This finding neglects well-known systems in Latin America and Southern Europe. 

Chapman et al. (2019) listed world grasslands by their potential to add woody biomass. According to their analysis, the countries with the greatest potential to increase woody biomass carbon in grazing land are, in order: Australia, Kazakhstan, China, the United States, Mongolia, Iran, Argentina, South Africa, Sudan, Afghanistan, Russia, and Mexico. Tropical grazing land accounts for 73% of the potential in one study. Brazil, China, and Australia have the highest areas, collectively accounting for 37% of the potential area (Sprenkle-Hippolite 2024).

We do not present any maps for the silvopasture solution due to the uncertainties in identifying current areas where silvopasture is practiced, and in identifying current grasslands that were historically forest or savanna. 

Action Word
Deploy
Solution Title
Silvopasture
Classification
Highly Recommended
Lawmakers and Policymakers
  • Lower the risk for farmers transitioning from other pastoral systems.
  • Increase understanding of silvopasture.
  • Reduce technical and bureaucratic complexity.
  • Establish or expand technical assistance programs.
  • Simplify incentive programs.
  • Ensure an appropriate and adequate selection of tree species are eligible for incentives.
  • Establish a silvopasture certification program.
  • Create demonstration farms.
  • Strengthen land tenure laws.
  • Incentivize lease structures to facilitate silvopasture transitions on rented land.

Further information:

Practitioners
  • Seek support from technical assistance programs and extension services.
  • Seek out networks of adopters to share information, resources, best practices, and collective marketing.
  • If available, leverage incentive programs such as subsidies, tax rebates, grants, and carbon credits.
  • Negotiate new lease agreements to accommodate silvopasture techniques or advocate for public incentives to reform lease structures.

Further information:

Business Leaders
  • Prioritize suppliers and source from farmers who use silvopasture.
  • Provide innovative financial mechanisms to encourage adoption.
  • Participate in and help create high-quality carbon credit programs.
  • Incentivize silvopasture transitions in lease agreements.
  • Support the creation of a certification system to increase the marketability of silvopasture products.
  • Join coalitions with other purchasers to grow demand.
  • Collaborate with public and private agricultural organizations on education and training programs. 

Further information:

Nonprofit Leaders
  • Educate farmers and those who work in the food industry about the benefits of silvopasture.
  • Communicate any government incentives for farmers to transition to silvopasture.
  • Explain how to take advantage of incentives.
  • Provide training material and/or work with extension services to support farmers transitioning to silvopasture, such as administering certification programs.
  • Advocate to policymakers for improved incentives for farmers, stronger land tenure laws, and flexible lease agreements.

Further information:

Investors
  • Use capital like low-interest or favorable loans to support farmers and farmer cooperatives exploring silvopasture projects.
  • Invest in credible, high-quality carbon reduction silvopasture projects.
  • Invest in silvopasture products (e.g., fruits, berries, and other tree products)
  • Encourage favorable lease agreements between landowners or offer favorable costs and benefit-sharing structures.
  • Consider banking through community development financial institutions or other institutions that support farmers. 

Further information:

Philanthropists and International Aid Agencies
  • Provide grants and loans for establishing silvopasture and support farmland restoration projects that include silvopasture.
  • Support capacity-building, market access, education, and training opportunities for smallholder farmers – especially those historically underserved – through activities like farmer cooperatives, demonstration farms, and communal tree nurseries.
  • Consider banking through Community Development Financial Institutions or other institutions that support farmers. 

Further information:

Thought Leaders
  • Use your platform to build awareness of silvopasture and its benefits, incentive programs, and regulatory standards.
  • Provide technical information to practitioners.
  • Host community dialogues such as Edible Connections to engage the public about silvopasture and other climate-friendly farming practices.

Further information:

Technologists and Researchers
  • Improve the affordability and equipment needed to plant and manage trees.
  • Refine satellite tools to improve silvopasture detection.
  • Develop ways to monitor changes in soil and biomass.
  • Standardize data collection protocols.
  • Create a framework for transparent reporting and reliable verification.
  • Fill gaps in data, such as quantifying the global adoption potential of silvopasture and regional analysis of revenue and operating costs/hectare. 

Further information:

Communities, Households, and Individuals
  • Purchase silvopasture products and support farmers who use the practice.
  • Request silvopasture products at local markets.
  • Encourage policymakers to help farmers transition.
  • Encourage livestock farmers to adopt the practice.
  • Host community dialogues such as Edible Connections to engage the public about silvopasture and other climate-friendly farming practices.

Further information:

Sources
Evidence Base

Carbon Sequestration: mixed to high consensus

There is a high level of consensus about the carbon biosequestration impacts of silvopasture, including for the higher per-hectare sequestration rates relative to improved grazing systems alone. A handful of reviews, expert estimations, and meta-analyses have been published on the subject. These include:

Cardinael et al. (2018) assembled data by climate and region for use in the national calculations and reporting. 

Chatterjee et al. (2018) found that converting from pasture to silvopasture increases carbon stocks. 

Lal et al. ( 2018) estimated the technical adoption and mitigation potential of silvopasture and other practices.

Udawatta et al. (2022) provided an up- to date meta-analysis for temperate North America. 

The results presented in this document summarize findings from two reviews, two meta-analyses, one expert opinion and three original studies reflecting current evidence from a global scale. We recognize this limited geographic scope creates bias, and hope this work inspires research and data sharing on this topic in underrepresented regions.

Other climate impacts: low consensus

There is low consensus on the reduction of methane from enteric emissions, nitrous oxide from manure, and CO₂ from avoided deforestation due to increased productivity. We do not include these climate impacts in our calculations.

Adoption potential: low consensus

Until recently there was little understanding of the current adoption of silvopasture. Sprenkle-Hyppolite et al. (2024) used Delphi expert estimation to determine current adoption and technical potential. Rates of adoption and achievable potential are still largely unreported or uninvestigated. See the Adoption section for details.

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Updated Date

Improve Annual Cropping

Submitted by Drawdown Admin on
Sector
FALO & Nature-Based Carbon Removal
Mode
Cut Emissions
Cluster
Shift Agriculture Practices
Image
Coming Soon
Off
Summary

Farmers on much of the world’s 1.4 billion ha of cropland grow and harvest annual crops – crops like wheat, rice, and soybeans that live for one year or less. After harvest, croplands are often left bare for the rest of the year and sometimes tilled, exposing the soil to wind and rain. This keeps soil carbon levels low and can lead to soil erosion. There are many ways to improve annual cropping to protect or enhance the health of the soil and increase soil organic matter. Project Drawdown’s Improve Annual Cropping solution is a set of practices that protects soils by minimizing plowing (no-till/reduced tillage) and maintaining continuous soil cover (by retaining crop residues or growing cover crops). This increases soil carbon sequestration and reduces nitrous oxide emissions. These techniques are commonly used in conservation agriculture, regenerative, and agro-ecological cropping systems. Other annual cropping practices with desirable climate impacts – including compost application and crop rotations – are omitted here due to lack of data and much smaller scale of adoption. 

Extreme weather events
Income & work,Food security
Nature protection,Land resources,Water resources
Overview

The Improve Annual Cropping solution incorporates several practices that minimize soil disturbance and introduce a physical barrier meant to prevent erosion to fragile topsoils. Our definition includes two of the three pillars of conservation agriculture: minimal soil disturbance and permanent soil cover (Kassam et al., 2022).

Minimal Soil Disturbance

Soil organic carbon (SOC) – which originates from decomposed plants – helps soils hold moisture and provides the kinds of chemical bonding that allow nutrients to be stored and exchanged easily with plants. Soil health and productivity depend on microbial decomposition of plant biomass residues, which mobilizes critical nutrients in soil organic matter (SOM) and builds SOC. Conventional tillage inverts soil, buries residues, and breaks down compacted soil aggregates. This process facilitates microbial activity, weed removal, and water infiltration for planting. However, tillage can accelerate CO₂ fluxes as SOC is lost to oxidation and runoff. Mechanical disturbance further exposes deeper soils to the atmosphere, leading to radiative absorption, higher soil temperatures, and catalyzed biological processes – all of which increase oxidation of SOC (Francaviglia et al., 2023).

Reduced tillage limits soil disturbance to support increased microbial activity, moisture retention, and stable temperature at the soil surface. This practice can increase carbon sequestration, at least when combined with cover cropping. These effects are highly contextual, depending on tillage intensity and soil depth as well as the practice type, duration, and timing. Reduced tillage further reduces fossil fuel emissions from on-farm machinery. However, this practice often leads to increased reliance on herbicides for weed control (Francaviglia et al., 2023).

Permanent Soil Cover

Residue retention and cover cropping practices aim to provide permanent plant cover to protect and improve soils. This can improve aggregate stability, water retention, and nutrient cycling. Farmers practicing residue retention leave crop biomass residues on the soil surface to suppress weed growth, improve water infiltration, and reduce evapotranspiration from soils (Francaviglia et al., 2023).

Cover cropping includes growth of spontaneous or seeded plant cover, either during or between established cropping cycles. In addition to SOC, cover cropping can help decrease nitrous oxide emissions and bind nitrogen typically lost via oxidation and leaching. Leguminous cover crops can also fix atmospheric nitrogen, reducing the need for fertilizer. Cover cropping can further be combined with reduced tillage for additive SOC and SOM gains (Blanco-Canqui et al., 2015; Francaviglia et al., 2023).

Improved annual cropping practices can simultaneously reduce GHG emissions and improve SOC stocks. However, there are biological limits to SOC stocks – particularly in mineral soils. Environmental benefits are impermanent and only remain if practices continue long term (Francaviglia et al., 2023).

References

Abdalla, M., Hastings, A., Cheng, K., Yue, Q., Chadwick, D., Espenberg, M., Truu, J., Rees, R. M., & Smith, P. (2019). A critical review of the impacts of cover crops on nitrogen leaching, net greenhouse gas balance and crop productivity. Global Change Biology, 25(8), 2530–2543. https://doi.org/10.1111/gcb.14644 

Arslan, A., McCarthy, N., Lipper, L., Asfaw, S., Cattaneo, A., & Kokwe, M. (2015). Climate smart agriculture? Assessing the adaptation implications in Zambia. Journal of Agricultural Economics, 66(3), 753-780.

Bai, X., Huang, Y., Ren, W., Coyne, M., Jacinthe, P.-A., Tao, B., Hui, D., Yang, J., & Matocha, C. (2019). Responses of soil carbon sequestration to climate-smart agriculture practices: A meta-analysis. Global Change Biology, 25(8), 2591–2606. https://doi.org/10.1111/gcb.14658

Blanco‐Canqui, H., Shaver, T. M., Lindquist, J. L., Shapiro, C. A., Elmore, R. W., Francis, C. A., & Hergert, G. W. (2015). Cover crops and ecosystem services: Insights from studies in temperate soils. Agronomy journal, 107(6), 2449-2474.

Blanco-Canqui, H., & Francis, C. A. (2016). Building resilient soils through agroecosystem redesign under fluctuating climatic regimes. Journal of Soil and Water Conservation, 71(6), 127A-133A. https://doi.org/10.2489/jswc.71.6.127A 

Cai, A., Han, T., Ren, T., Sanderman, J., Rui, Y., Wang, B., Smith, P., Xu, M., & Li, Y. (2022). Declines in soil carbon storage under no tillage can be alleviated in the long run. Geoderma, 425, 116028. https://doi.org/10.1016/j.geoderma.2022.116028 

Clapp, J. (2021). Explaining growing glyphosate use: The political economy of herbicide-dependent agriculture. Global Environmental Change, 67, 102239.

Cui, Y., Zhang, W., Zhang, Y., Liu, X., Zhang, Y., Zheng, X., Luo, J., & Zou, J. (2024). Effects of no-till on upland crop yield and soil organic carbon: A global meta-analysis. Plant and Soil, 499(1), 363–377. https://doi.org/10.1007/s11104-022-05854-y

Damania, R., Polasky, S., Ruckelshaus, M., Russ, J., Amann, M., Chaplin-Kramer, R., ... & Zaveri, E. (2023). Nature's Frontiers: Achieving Sustainability, Efficiency, and Prosperity with Natural Capital. World Bank Publications.

Dupraz, C., and Liagre, F. (2011). Agroforesterie: des arbres et des cultures. France Agricole Editions, 2011. 

Fitton, N., Alexander, P., Arnell, N., Bajzelj, B., Calvin, K., Doelman, J., Gerber, J. S., Havlik, P., Hasegawa, T., Herrero, M., Krisztin, T., van Meijl, H., Powell, T., Sands, R., Stehfest, E., West, P. C., and Smith, P. (2019). The vulnerabilities of agricultural land and food production to future water scarcity. Global Environmental Change, 58:101944. https://doi.org/10.1016/j.gloenvcha.2019.101944 

Francaviglia, R., Almagro, M., & Vicente-Vicente, J. L. (2023). Conservation Agriculture and Soil Organic Carbon: Principles, Processes, Practices and Policy Options. Soil Systems, 7(1), 17. https://doi.org/10.3390/soilsystems7010017 

Griscom, B. W., Adams, J., Ellis, P. W., Houghton, R. A., Lomax, G., Miteva, D. A., ... & Fargione, J. (2017). Natural climate solutions. Proceedings of the National Academy of Sciences, 114(44), 11645-11650.

Hassan, M. U., Aamer, M., Mahmood, A., Awan, M. I., Barbanti, L., Seleiman, M. F., ... & Huang, G. (2022). Management strategies to mitigate N₂O emissions in agriculture. Life, 12(3), 439.

Hu, Q., Thomas, B. W., Powlson, D., Hu, Y., Zhang, Y., Jun, X., Shi, X., & Zhang, Y. (2023). Soil organic carbon fractions in response to soil, environmental and agronomic factors under cover cropping systems: A global meta-analysis. Agriculture, Ecosystems & Environment, 355, 108591. https://doi.org/10.1016/j.agee.2023.108591

Jat, H. S., Choudhary, K. M., Nandal, D. P., Yadav, A. K., Poonia, T., Singh, Y., Sharma, P. C., & Jat, M. L. (2020). Conservation Agriculture-based Sustainable Intensification of Cereal Systems Leads to Energy Conservation, Higher Productivity and Farm Profitability. Environmental Management, 65(6), 774–786. https://doi.org/10.1007/s00267-020-01273-w

Jayaraman, S., Dang, Y. P., Naorem, A., Page, K. L., & Dalal, R. C. (2021). Conservation Agriculture as a System to Enhance Ecosystem Services. Agriculture, 11(8), 718. https://doi.org/10.3390/agriculture11080718

Jian, J., Du, X., Reiter, M. S., & Stewart, R. D. (2020). A meta-analysis of global cropland soil carbon changes due to cover cropping. Soil Biology and Biochemistry, 143, 107735. https://doi.org/10.1016/j.soilbio.2020.107735

Joshi, D. R., Sieverding, H. L., Xu, H., Kwon, H., Wang, M., Clay, S. A., Johnson, J. M., Thapa, R., Westhoff, S., & Clay, D. E. (2023). A global meta-analysis of cover crop response on soil carbon storage within a corn production system. Agronomy Journal, 115(4), 1543–1556. https://doi.org/10.1002/agj2.21340

Kan, Z.-R., Liu, W.-X., Liu, W.-S., Lal, R., Dang, Y. P., Zhao, X., & Zhang, H.-L. (2022). Mechanisms of soil organic carbon stability and its response to no-till: A global synthesis and perspective. Global Change Biology, 28(3), 693–710. https://doi.org/10.1111/gcb.15968

Kassam, A., Friedrich, T., & Derpsch, R. (2022). Successful Experiences and Lessons from Conservation Agriculture Worldwide. Agronomy, 12(4), Article 4. https://doi.org/10.3390/agronomy12040769

Lal, R., Smith, P., Jungkunst, H. F., Mitsch, W. J., Lehmann, J., Nair, P. R., ... & Ravindranath, N. H. (2018). The carbon sequestration potential of terrestrial ecosystems. Journal of soil and water conservation, 73(6), 145A-152A.

Lessmann, M., Ros, G. H., Young, M. D., & de Vries, W. (2022). Global variation in soil carbon sequestration potential through improved cropland management. Global Change Biology, 28(3), 1162–1177. https://doi.org/10.1111/gcb.15954

Luo, Z., Wang, E., & Sun, O. J. (2010). Can no-tillage stimulate carbon sequestration in agricultural soils? A meta-analysis of paired experiments. Agriculture, Ecosystems & Environment, 139(1), 224–231. https://doi.org/10.1016/j.agee.2010.08.006

Martínez-Mena, M., Carrillo-López, E., Boix-Fayos, C., Almagro, M., García Franco, N., Díaz-Pereira, E., Montoya, I., & De Vente, J. (2020). Long-term effectiveness of sustainable land management practices to control runoff, soil erosion, and nutrient loss and the role of rainfall intensity in Mediterranean rainfed agroecosystems. CATENA, 187, 104352. https://doi.org/10.1016/j.catena.2019.104352

McClelland, S. C., Paustian, K., & Schipanski, M. E. (2021). Management of cover crops in temperate climates influences soil organic carbon stocks: A meta-analysis. Ecological Applications, 31(3), e02278. https://doi.org/10.1002/eap.2278

Moukanni, N., Brewer, K. M., Gaudin, A. C. M., & O’Geen, A. T. (2022). Optimizing Carbon Sequestration Through Cover Cropping in Mediterranean Agroecosystems: Synthesis of Mechanisms and Implications for Management. Frontiers in Agronomy, 4. https://doi.org/10.3389/fagro.2022.844166 

Mrabet, R., Singh, A., Sharma, T., Kassam, A., Friedrich, T., Basch, G., Moussadek, R., & Gonzalez-Sanchez, E. (2023). Conservation Agriculture: Climate Proof and Nature Positive Approach. In G. Ondrasek & L. Zhang (Eds.), Resource Management in Agroecosystems. IntechOpen. https://doi.org/10.5772/intechopen.108890

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. https://doi.org/10.1017/9781009157926.009

Nyagumbo, I., Mupangwa, W., Chipindu, L., Rusinamhodzi, L., & Craufurd, P. (2020). A regional synthesis of seven-year maize yield responses to conservation agriculture technologies in Eastern and Southern Africa. Agriculture, Ecosystems & Environment, 295, 106898. https://doi.org/10.1016/j.agee.2020.106898

Ogle, S. M., Alsaker, C., Baldock, J., Bernoux, M., Breidt, F. J., McConkey, B., Regina, K., & Vazquez-Amabile, G. G. (2019). Climate and Soil Characteristics Determine Where No-Till Management Can Store Carbon in Soils and Mitigate Greenhouse Gas Emissions. Scientific Reports, 9(1), 11665. https://doi.org/10.1038/s41598-019-47861-7

Paustian, K., Larson, E., Kent, J., Marx, E., & Swan, A. (2019). Soil C Sequestration as a Biological Negative Emission Strategy. Frontiers in Climate, 1, 8. https://doi.org/10.3389/fclim.2019.00008 

Pittelkow, C. M., Liang, X., Linquist, B. A., van Groenigen, K. J., Lee, J., Lundy, M. E., van Gestel, N., Six, J., Venterea, R. T., & van Kessel, C. (2015). Productivity limits and potentials of the principles of conservation agriculture. Nature, 517(7534), Article 7534. https://doi.org/10.1038/nature13809

Poeplau, C., & Don, A. (2015). Carbon sequestration in agricultural soils via cultivation of cover crops–A meta-analysis. Agriculture, Ecosystems & Environment, 200, 33-41.

Powlson, D. S., Stirling, C. M., Jat, M. L., Gerard, B. G., Palm, C. A., Sanchez, P. A., & Cassman, K. G. (2014). Limited potential of no-till agriculture for climate change mitigation. Nature Climate Change, 4(8), 678–683. https://doi.org/10.1038/nclimate2292

Prestele, R., Hirsch, A. L., Davin, E. L., Seneviratne, S. I., & Verburg, P. H. (2018). A spatially explicit representation of conservation agriculture for application in global change studies. Global Change Biology, 24(9), 4038–4053. https://doi.org/10.1111/gcb.14307

Project Drawdown (2020) Farming Our Way Out of the Climate Crisis. Project Drawdown.

Quintarelli V, Radicetti E, Allevato E, Stazi SR, Haider G, Abideen Z, Bibi S, Jamal A, Mancinelli R. Cover crops for sustainable cropping systems: a review. Agriculture. 2022 Dec 3;12(12):2076.

Rosa, L. (2022). Adapting agriculture to climate change via sustainable irrigation: Biophysical potentials and feedbacks. Environmental Research Letters, 17: 063008. https://doi.org/10.1088/1748-9326/ac7408 

Searchinger, T., R. Waite, C. Hanson, and J. Ranganathan. (2019). World Resources Report: Creating a Sustainable Food Future. Washington, DC: World Resources Institute. https://research.wri.org/sites/default/files/2019-07/ WRR_Food_Full_Report_0.pdf.

Stavi, I., Bel, G., & Zaady, E. (2016). Soil functions and ecosystem services in conventional, conservation, and integrated agricultural systems. A review. Agronomy for Sustainable Development, 36(2), 32. https://doi.org/10.1007/s13593-016-0368-8

Su, Y., Gabrielle, B., Beillouin, D., & Makowski, D. (2021). High probability of yield gain through conservation agriculture in dry regions for major staple crops. Scientific Reports, 11(1), 3344. https://doi.org/10.1038/s41598-021-82375-1

Sun, W., Canadell, J. G., Yu, L., Yu, L., Zhang, W., Smith, P., Fischer, T., & Huang, Y. (2020). Climate drives global soil carbon sequestration and crop yield changes under conservation agriculture. Global Change Biology, 26(6), 3325–3335. https://doi.org/10.1111/gcb.15001 

Tambo, J. A., & Mockshell, J. (2018). Differential Impacts of Conservation Agriculture Technology Options on Household Income in Sub-Saharan Africa. Ecological Economics, 151, 95–105. https://doi.org/10.1016/j.ecolecon.2018.05.005

Tiefenbacher, A., Sandén, T., Haslmayr, H.-P., Miloczki, J., Wenzel, W., & Spiegel, H. (2021). Optimizing Carbon Sequestration in Croplands: A Synthesis. Agronomy, 11(5), Article 5. https://doi.org/10.3390/agronomy11050882

Toensmeier, E. (2016). The Carbon Farming Solution: A Global Toolkit of Perennial Crops and Regenerative Agriculture Practices for Climate Change Mitigation and Food Security. Green Publishing. https://www.chelseagreen.com/product/the-carbon-farming-solution/?srsltid=AfmBOoqsMoY569HfsXOdBsRguOzsDLlRZKOnyM4nyKwZoIALvPoohZlq 

Vendig, I., Guzman, A., De La Cerda, G., Esquivel, K., Mayer, A. C., Ponisio, L., & Bowles, T. M. (2023). Quantifying direct yield benefits of soil carbon increases from cover cropping. Nature Sustainability, 6(9), 1125–1134. https://doi.org/10.1038/s41893-023-01131-7

WCCA (2021). The future of farming: Profitable and sustainable farming with conservation agriculture. 8th World Congress on Conservation Agriculture, Vern Switzerland.

Wooliver, R., & Jagadamma, S. (2023). Response of soil organic carbon fractions to cover cropping: A meta-analysis of agroecosystems. Agriculture, Ecosystems & Environment, 351, 108497. https://doi.org/10.1016/j.agee.2023.108497

Xing, Y., & Wang, X. (2024). Impact of agricultural activities on climate change: a review of greenhouse gas emission patterns in field crop systems. Plants, 13(16), 2285.

Credits

Lead Fellows

  • Avery Driscoll

  • Erika Luna

  • Megan Matthews, Ph.D.

  • Eric Toensmeier

  • Aishwarya Venkat, Ph.D.

Contributors

  • Ruthie Burrows, Ph.D.

  • James Gerber, Ph.D.

  • Yusuf Jameel, Ph.D.

  • Daniel Jasper

  • Alex Sweeney

Internal Reviewers

  • Aiyana Bodi

  • Emily Cassidy, Ph.D.

  • James Gerber, Ph.D.

  • Hannah Henkin

  • Zoltan Nagy, Ph.D.

  • Ted Otte

  • Paul West, Ph.D.

Effectiveness

Based on seven reviews and meta-analyses, which collectively analyzed over 500 studies, we estimate that this solution’s SOC sequestration potential is 1.28 t CO₂‑eq/ha/yr. This is limited to the topsoil (>30 cm), with minimal effects at deeper levels (Sun et al., 2020; Tiefenbacher et al., 2021). Moreover, carbon sequestration potential isn't constant over time. The first two decades show the highest increase, followed by an equilibrium or SOC saturation (Cai, 2022; Sun et al., 2020).

The effectiveness of the Improve Annual Cropping solution heavily depends on local geographic conditions (e.g., soil properties, climate), crop management practices, cover crop biomass, cover crop types, and the duration of annual cropping production – with effects typically better assessed in the long term (Abdalla et al., 2019; Francaviglia et al., 2023; Moukanni et al., 2022; Paustian et al., 2019).

Based on reviewed literature (three papers, 18 studies), we estimated that improved annual cropping can potentially reduce nitrous oxide emissions by 0.51 t CO₂‑eq/ha/yr (Table 1). Cover crops can increase direct nitrous oxide emissions by stimulating microbial activity, but – compared with conventional cropping – lower indirect emissions allow for reduced net nitrous oxide emissions from cropland (Abdalla et al., 2019). 

Nitrogen fertilizers drive direct nitrous oxide emissions, so genetic optimization of cover crops to increase nitrogen-use efficiencies and decrease nitrogen leaching could further improve mitigation of direct nitrous oxide emissions (Abdalla et al., 2019). 

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Table 1. Effectiveness at reducing emissions and removing carbon.

Unit: t CO₂‑eq/ha/yr

25th percentile 0.29
median (50th percentile) 0.51
75th percentile 0.80

Unit: t CO₂‑eq/ha/yr

25th percentile 0.58
median (50th percentile) 1.28
75th percentile 1.72

Unit: t CO₂‑eq/ha/yr

25th percentile 0.88
median (50th percentile) 1.80
75th percentile 2.52
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Cost

Because baseline (conventional) annual cropping systems are already extensive and well established, we assume there is no cost to establish new baseline cropland. In the absence of global datasets on costs and revenues of cropping systems, we used data on the global average profit per ha of cropland from Damiana et al. (2023) to create a weighted average profit US$76.86/ha.

Based on 13 data points (of which seven were from the United States), the median establishment cost of the Improve Annual Cropping Solution is $329.78/ha. Nine data points (three from the United States) provided a median increase in profitability of US$86.01/ha. 

The net net cost of the Improve Annual Cropping solution is US$86.01. The cost per t CO2 -eq is US$47.80 (Table 2).

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Table 2. Cost per unit climate impact.

Unit: 2023 US$/t CO₂‑eq, 100-yr basis

median 47.80
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Learning Curve

We found limited information on this solution’s learning curve. A survey of farmers in Zambia found a reluctance to avoid tilling soils because of the increased need for weeding or herbicides and because crop residues may need to be used for livestock feed (Arslan et al., 2015; Searchinger et al., 2019).

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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.

Improve Annual Cropping is a DELAYED climate solution. It works more slowly than nominal or emergency brake solutions. Delayed solutions can be robust climate solutions, but it’s important to recognize that they realize their full potential for some time.

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Caveats

As with other biosequestration solutions, carbon stored in soils via improved annual cropping is not permanent. It can be lost quickly through a return to conventional agriculture practices like plowing, and/or through a regional shift to a drier climate or other human- or climate change–driven disturbances. Carbon sequestration also only continues for a limited time, estimated at 20–50 years (Lal et al., 2018)).

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Current Adoption

Kassam et al. (2022) provided regional adoption from 2008–2019. We used a linear forecast to project 2025 adoption. This provided a figure of 267.4 Mha in 2025 (Table 3).

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Table 3. Current (2025) adoption level.

Unit: Mha of improved annual cropping installed

Drawdown estimate 267.4
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Adoption Trend

Between 2008–2009 and 2018–2019 (the most recent data available), the cropland area under improved annual cropping practices nearly doubled globally, increasing from 10.6 Mha to 20.5 Mha at an average rate of 1.0 Mha/yr (Kassam et al., 2022), equivalent to a 9.2% annual increase in area relative to 2008–2009 levels. Adoption slowed slightly in the latter half of the decade, with an average increase of 0.8 Mha/yr- between 2015–2016 and 2018–2019, equivalent to 4.6% annual increase in area relative to 2015–2016 levels. 

Median adoption is 1.11 ha/yr. The median, mean, and 25th and 75th percentiles are shown in Table 4.

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Table 4. 2008–2009 to 2018–2019 adoption trend.

Unit: Mha adopted/yr

25th percentile 0.54
mean 1.41
median (50th percentile) 1.11
75th percentile 2.04
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Adoption Ceiling

Griscom et al. (2017) estimate that 800 Mha of global cropland are suitable – but not yet used for – cover cropping, in addition to 168 Mha already in cover crops (Popelau and Don, 2015). We update the 168 Mha in cover crops to 267 Mha based on Kassam (2022). Griscom et al.’s estimate is based on their analysis that much cropland is unsuitable because it already is used to produce crops during seasons in which cover crops would be grown. Their estimate thus provides a maximum technical potential of 1,067 Mha (Table 5). 

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Table 5. Adoption ceiling.

Unit: Mha

Adoption ceiling 1,067
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Achievable Adoption

The 8th World Congress on Conservation Agriculture (8WCCA) set a goal to achieve adoption of improved annual cropping on 50% of available cropland by 2050 (WCCA 2021). That provides an adoption ceiling of 700 Mha – though this is not a biophysical limit. 

We used the 2008–2019 data from Kassam (2022) to calculate average annual regional growth rates. From these we selected the 25th percentile as our low achievable level (Table 6).

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Table 6. Range of achievable adoption levels.

Unit: Mha installed

Current Adoption 267.4
Achievable – Low 331.7
Achievable – High 700.0
Adoption Ceiling 1,067.0

Unit: Mha installed

Current Adoption 0.00
Achievable – Low 64.2
Achievable – High 432.6
Adoption Ceiling 868.6
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Carbon sequestration continues only for a period of decades; because adoption of improved annual cropping was already underway in the 1970s (Kassam et al., 2022), we could not assume that previously adopted hectares continue to sequester carbon indefinitely. Thus we make the conservative choice to calculate carbon sequestration only for newly adopted hectares. We use the same conservative assumption for nitrous oxide emissions. 

Combined effect is 0.0 Gt CO₂‑eq/yr for current adoption, 0.12 for Achievable – Low, 0.78 for Achievable – High, and 1.56 for our Adoption Ceiling.

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Table 8. Climate impact at different levels of adoption.

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current Adoption 0.00
Achievable – Low 0.03
Achievable – High 0.22
Adoption Ceiling 0.45

(from nitrous oxide)

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current Adoption 0.00
Achievable – Low 0.08
Achievable – High 0.56
Adoption Ceiling 1.12

(from SOC)

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current Adoption 0.00
Achievable – Low 0.12
Achievable – High 0.78
Adoption Ceiling 1.56
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Additional Benefits

Extreme weather events

The soil and water benefits of this solution can lead to agricultural systems that are more resilient to extreme weather events (Mrabet et al., 2023). These agricultural systems have improved uptake, conservation, and use of water, so they are more likely to successfully cope and adapt to drought and dry conditions (Su et al., 2021). Additionally, more sustained year-round plant cover can increase the capacity of cropping systems to adapt to high temperatures and extreme rainfall (Blanco-Canqui & Francis, 2016; Martinez-Mena et al., 2020).

Droughts

Increased organic matter due to improved annual cropping increases soil water holding capacity. This increases drought resilience (Su et al., 2021). 

Income & work

Conservation agriculture practices can reduce costs on fuel, fertilizer, and pesticides (Stavi et al., 2016). The highest revenues from improved annual cropping are often found in drier climates where higher yields are more likely. Nyagumbo et al. (2020) found that smallholder farms in sub-Saharan Africa using conservation agriculture had the highest returns on crop yields when rainfall was low. Tambo et al. (2018) found when smallholder farmers in sub-Saharan Africa jointly employed the three aspects of conservation agriculture – reduced tillage, cover crops, and crop rotation – households and individuals saw the largest income gains.

Food security

Improved annual cropping can improve food security by increasing the amount and the stability of crop yields. A meta-analysis of studies of South Asian cropping systems found that those following conservation agriculture methods had 5.8% higher mean yield than cropping systems with more conventional agriculture practices (Jat et al., 2020). Evidence supports that conservation agriculture practices especially improve yields in water scarce areas (Su et al., 2021). Nyagumbo et al. (2020) found that smallholder farmers in sub-Saharan Africa experienced reduced yield variability when using conservation agriculture practices.

Nature protection

Improved annual cropping can increase biodiversity below and above soils (Mrabet et al., 2023). Increased vegetation cover improves habitats for arthropods, which help with pest and pathogen management (Stavi et al., 2016).

Land resources

Improved annual cropping methods can lead to improved soil health through the increased stability of soil structure, increased soil nutrients, and improved soil water storage (Francaviglia et al., 2023). This can reduce soil degradation and erosion (Mrabet et al., 2023). Additionally, more soil organic matter can lead to additional microbial growth and nutrient availability for crops (Blanco-Canqui & Francis, 2016). 

Water quality

Runoff of soil and other agrochemicals can be minimized through conservation agricultural practices (Jayaraman et al., 2021), reducing the amount of nitrate and phosphorus that leach into waterways and contribute to algal blooms and eutrophication (Jayaraman et al., 2021). Abdalla et al. (2019) found that cover crops reduced nitrogen leaching.

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Risks

Herbicides – in place of tillage – are used in many but not all no-till cropping systems to kill (terminate) the cover crop. The large-scale use of herbicides in improved annual cropping systems can produce a range of environmental and human health consequences. Agricultural impacts can include development of herbicide-resistant weeds (Clapp, 2021). 

If cover crops are not fully terminated before establishing the main crop, there is a risk that cover crop can compete with the main crop (Quintarelli et al., 2022). 

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Interactions with Other Solutions

Improved annual cropping has competing interactions with several other solutions related to shifting annual practices. For each of these other solutions, the Improve Annual Cropping solution can reduce the area on which the solution can be applied or the nutrient excess available for improved management. 

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COMPETING

In no-till systems, cover crops are typically terminated with herbicides, often preventing incorporation of trees depending on the type of herbicide used.

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Land managed under the Improve Annual Cropping solution is not available for perennial crops.

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Improved annual cropping typically reduces fertilizer demand, reducing the scale of climate impact under improved nutrient management. 

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Our definition of improved annual cropping requires residue retention, limiting the additional area available for deployment of reduced burning.

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Dashboard

Solution Basics

1 ha of cropland

tCO2-eq/unit/yr
1.8
units
Current 06.42×10⁷4.33×10⁸
Achievable (Low to High)

Climate Impact

GtCO2-eq/yr
Current 0 0.120.78
US$ per tCO2-eq
48
Delayed

CO₂, N₂O

Trade-offs

Some studies have found that conservation tillage without cover crops can reduce soil carbon stocks in deeper soil layers. They caution against overreliance on no-till as a sequestration solution in the absence of cover cropping. Reduced tillage should be combined with cover crops to ensure carbon sequestration (Luo et al., 2010; Ogle et al., 2019; Powlson et al., 2014).

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tCO2-eq/ha
0400

Millennia of agricultural land use have removed nearly 500 Gt CO2-eq from soils

Agriculture has altered the soil carbon balance around the world, resulting in changes (mostly losses) of soil carbon. Much of the nearly 500 Gt CO2-eq lost in the last 12,000 years is now in the atmosphere in the form of CO2.

Sanderman, J. et al. (2017). The soil carbon debt of 12,000 years of human land use [Data set]. PNAS 114(36): 9575–9580. doi:10.1073/pnas.1706103114

tCO2-eq/ha
0400

Millennia of agricultural land use have removed nearly 500 Gt CO2-eq from soils

Agriculture has altered the soil carbon balance around the world, resulting in changes (mostly losses) of soil carbon. Much of the nearly 500 Gt CO2-eq lost in the last 12,000 years is now in the atmosphere in the form of CO2.

Sanderman, J. et al. (2017). The soil carbon debt of 12,000 years of human land use [Data set]. PNAS 114(36): 9575–9580. doi:10.1073/pnas.1706103114

Geographic Guidance Introduction

Adoption of this solution varies substantially across the globe. Currently, improved annual cropping practices are widely implemented in Australia and New Zealand (74% of annual cropland) and Central and South America (69%), with intermediate adoption in North America (34%) and low adoption in Asia, Europe, and Africa (1–5%) (Kassam et al., 2022), though estimates vary (see also Prestele et al., 2018). Future expansion of this solution is most promising in Asia, Africa, and Europe, where adoption has increased in recent years. Large areas of croplands are still available for implementation in these regions, whereas Australia, New Zealand, and Central and South America may be reaching a saturation point, and these practices may be less suitable for the relatively small area of remaining croplands.

The carbon sequestration effectiveness of this solution also varies across space. Drivers of soil carbon sequestration rates are complex and interactive, with climate, initial soil carbon content, soil texture, soil chemical properties (such as pH), and other land management practices all influencing the effectiveness of adopting this solution. Very broadly, the carbon sequestration potential of improved annual cropping tends to be two to three times higher in warm areas than cool areas (Bai et al., 2019; Cui et al., 2022; Lessmann et al., 2021). Warm and humid conditions enable vigorous cover crop growth, providing additional carbon inputs into soils. Complicating patterns of effectiveness, however, arid regions often experience increased crop yields following adoption of this solution whereas humid regions are more likely to experience yield losses (Pittelkow et al., 2015). Yield losses may reduce adoption in humid areas and can lead to cropland expansion to compensate for lower production. 

Uptake of this solution may be constrained by spatial variation in places where cover cropping is suitable. In areas with double or triple cropping, there may not be an adequate interval for growth of a cover crop between harvests. In areas with an extended dry season, there may be inadequate moisture to grow a cover crop.

Action Word
Improve
Solution Title
Annual Cropping
Classification
Highly Recommended
Lawmakers and Policymakers
  • Provide local and regional institutional guidance for improving annual cropping that adapts to the socio-environmental context.
  • Integrate soil protection into national climate mitigation and adaptation plans.
  • Remove financial incentives, such as subsidies, for unsustainable practices and replace them with financial incentives for carbon sequestration practices.
  • Place taxes or fines on emissions and related farm inputs (such as nitrogen fertilizers).
  • Reform international agricultural trade, remove subsidies for emissions-intensive agriculture, and support climate-friendly practices.
  • Strengthen and support land tenure for smallholder farmers.
  • Mandate insurance schemes that allow farmers to use cover crops and reduce tillage.
  • Support, protect, and promote traditional and Indigenous knowledge of land management practices.
  • Set standards for measuring, monitoring, and verifying impacts on SOC accounting for varying socio-environmental conditions.
  • Develop economic budgets for farmers to adopt these practices.
  • Invest in or expand extension services to educate farmers and other stakeholders on the economic and environmental benefits of improved annual cropping.
  • Create, support, or join education campaigns and/or public-private partnerships that facilitate stakeholder discussions.

Further information:

Practitioners
  • Implement no-till practices and use cover crops.
  • Utilize or advocate for financial assistance and tax breaks for farmers to use improved annual cropping techniques.
  • Adjust the timing and dates of the planting and termination of the cover crops in order to avoid competition for resources with the primary crop.
  • Find opportunities to reduce initial operation costs of no-tillage and cover crops, such as selling cover crops as forage or grazing.
  • Take advantage of education programs, support groups, and extension services focused on improved annual cropping methods.
  • Create, support, or join stakeholder discussions, especially around standardized monitoring frameworks, ROI, and climate benefits.

Further information:

Business Leaders
  • Source from producers implementing improved annual cropping practices, create programs that directly engage and educate farmers, and promote inspiring case studies with the industry and wider public.
  • Create sustainability goals and supplier requirements that incorporate this solution and offer pricing incentives for compliant suppliers.
  • Invest in companies that utilize improved annual cropping techniques or produce the necessary inputs.
  • Promote and develop markets for products that employ improved annual cropping techniques and educate consumers about the importance of the practice.
  • Stay abreast of recent scientific findings and use third-party verification to monitor sourcing practices.
  • Offer financial services – including low-interest loans, micro-financing, and grants – to support low-carbon agriculture (e.g., sustainable land management systems).
  • Support high-integrity carbon markets, institutions, rules, and norms to cultivate the demand for high-quality carbon credits.
  • Create, support, or join education campaigns and/or public-private partnerships that facilitate stakeholder discussions, especially around standardized monitoring frameworks, ROI, and climate benefits.

Further information:

Nonprofit Leaders
  • Start model farms to demonstrate techniques, conduct experiments, and educate local farmers.
  • Conduct and share research on improving annual cropping techniques and local policy options.
  • Advocate to policymakers for improving annual cropping techniques, incentives, and regulations.
  • Educate farmers on sustainable means of agriculture and support implementation.
  • Help integrate improved annual cropping practices as part of the broader climate agenda.
  • Engage with businesses to encourage corporate responsibility and/or monitor soil health.
  • Offer resources and training in financial planning and yield risk management to farmers adopting improved annual cropping approaches.
  • Partner with research institutions and businesses to co-develop and distribute region-specific best practices.
  • Create, support, or join stakeholder discussions, especially around standardized monitoring frameworks, ROI, and climate benefits.

Further information:

Investors
  • Integrate science-based due diligence on improved annual cropping techniques and soil health measures into all farming and agritech investments.
  • Encourage companies in your investment portfolio to adopt improved annual cropping practices.
  • Offer access to capital, such as low-interest loans, micro-financing, and grants to improve annual cropping.
  • Invest in companies developing technologies that improve annual cropping, such as soil management equipment and related software.
  • Create, support, or join stakeholder discussions, especially around standardized monitoring frameworks, ROI, and climate benefits.

Further information:

Philanthropists and International Aid Agencies
  • Start model farms to demonstrate techniques, conduct experiments, and educate local farmers.
  • Offer access to capital, such as low-interest loans, micro-financing, and grants to support improving annual cropping, (e.g., traditional land management).
  • Conduct and share research on improved annual cropping techniques and local policy options.
  • Advocate to policymakers for improved annual cropping techniques, incentives, and regulations.
  • Educate farmers on traditional means of agriculture and support implementation.
  • Help integrate improved annual cropping practices as part of the broader climate agenda.
  • Engage with businesses to encourage corporate responsibility and/or monitor soil health.
  • Offer resources and training in financial planning and yield risk management to farmers adopting improved annual cropping approaches.
  • Partner with research institutions and businesses to co-develop and distribute region-specific best practices.
  • Create, support, or join stakeholder discussions, especially around standardized monitoring frameworks, ROI, and climate benefits.
  • Invest in companies developing technologies that improve annual cropping, such as soil management equipment and related software.

Further information:

Thought Leaders
  • Start model farms to demonstrate techniques, conduct experiments, and educate local farmers.
  • Conduct and share research on improved annual cropping techniques and local policy options.
  • Advocate to policymakers for improved annual cropping techniques, incentives, and regulations.
  • Educate farmers on traditional means of agriculture and support implementation.
  • Engage with businesses to encourage corporate responsibility and/or monitor soil health.
  • Research the regional impacts of cover crops on SOC and SOM and publish the data.
  • Partner with research institutions and businesses to co-develop and distribute region-specific best practices.
  • Create, support, or join stakeholder discussions, especially around standardized monitoring frameworks, ROI, and climate benefits.
  • Work with farmers and other private organizations to improve data collection on uptake of improved annual cropping techniques, effectiveness, and regional best practices.

Further information:

Technologists and Researchers
  • Help develop standards for measuring, monitoring, and verifying impacts on SOC accounting for varying socio-environmental conditions.
  • Research the regional impacts of cover crops (particularly outside the United States) on SOC and SOM, and publish the data.
  • Create tracking and monitoring software to support farmers' decision-making.
  • Research the application of AI and robotics for crop rotation.
  • Improve data and analytics to monitor soil and water quality, assist farmers, support policymaking, and assess the impacts of policies.
  • Develop education and training applications to improve annual cropping techniques and provide real-time feedback.

Further information:

Communities, Households, and Individuals
  • Participate in urban agriculture or community gardening programs that implement these practices.
  • Engage with businesses to encourage corporate responsibility and/or monitor soil health.
  • Work with farmers and other private organizations to improve data collection on uptake of improved annual cropping techniques, effectiveness, and regional best practices.
  • Advocate to policymakers for improved annual cropping techniques, incentives, and regulations.
  • Start model farms to demonstrate techniques, conduct experiments, and educate local farmers.
  • Educate farmers on traditional means of agriculture and support implementation.
  • Create, support, or join stakeholder discussions, especially around standardized monitoring frameworks, ROI, and climate benefits.

Further information:

Sources
Evidence Base

Carbon sequestration from cover cropping: High consensus

The impacts of improved annual cropping practices on soil carbon sequestration have been extensively studied, and there is high consensus that adoption of cover crops can increase carbon sequestration in soils. However, estimates of how much carbon can be sequestered vary substantially, and sequestration rates are strongly influenced by factors such as climate, soil properties, time since adoption, and how the practices are implemented.

The carbon sequestration benefits of cover cropping are well established. They have been documented in reviews and meta-analyses including Hu et al. (2023) and Vendig et al. (2023). 

Carbon sequestration from reduced tillage: Mixed

Relative to conventional tillage, estimates of soil carbon gains in shallow soils under no-till management include average increases of 5–20% (Bai et al., 2019; Cui et al., 2022; Kan et al., 2022). Lessmann et al. (2021) estimated that use of no-till is associated with an average annual increase in carbon sequestration of 0.88 t CO₂‑eq /ha/yr relative to high-intensity tillage. 

Nitrous oxide reduction: Mixed

Consensus on nitrous oxide reductions from improved annual cropping is mixed. Several reviews have demonstrated a modest reduction in nitrous oxide from cover cropping (Abdalla et al., 2019; Xing & Wang, 2024). Reduced tillage can result in either increased or decreased nitrous oxide emissions (Hassan et al., 2022). 

The results presented in this document summarize findings from 10 reviews and meta-analyses reflecting current evidence at the global scale. Nonetheless, not all countries are represented. 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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Updated Date

Improve Nutrient Management

Submitted by Drawdown Admin on
Sector
Food, Agriculture, Land & Ocean
Mode
Cut Emissions
Cluster
Shift Agriculture Practices
Image
Farm equipment applying fertilizer selectively
Coming Soon
Off
Summary

We define the Improve Nutrient Management solution as reducing excessive nitrogen use on croplands. Nitrogen is critical for crop production and is added to croplands as synthetic or organic fertilizers and through microbial activity. However, farmers often add more nitrogen to croplands than crops can use. Some of that excess nitrogen is emitted to the atmosphere as nitrous oxide, a potent GHG. 

Droughts
Income & work,Food security,Health
Nature protection
Overview

Agriculture is the dominant source of human-caused emissions of nitrous oxide (Figure 1; Tian et al., 2020). Nitrogen is critical for plant growth and is added to croplands in synthetic forms, such as urea, ammonium nitrate, or anhydrous ammonia; in organic forms, such as manure or compost; and by growing legume crops, which host microbes that capture nitrogen from the air and add it to the soil (Adalibieke et al., 2023; Ludemann et al., 2024). If more nitrogen is added than crops can use, the excess can be converted to other forms, including nitrous oxide, through microbial processes called denitrification and nitrification (Figure 2; Reay et al., 2012).

Figure 1. The agricultural nitrogen cycle represents the key pathways by which nitrogen is added to croplands and lost to the environment, including as nitrous oxide. The “4R” nutrient management principles – right source, right rate, right time, right place – increase the proportion of nitrogen taken up by the plant, therefore reducing nitrogen losses to the environment.

Diagram of agricultural nitrogen cycle.

Illustrations: BioRender CC-BY 4.0

Farmers can reduce nitrous oxide emissions from croplands by using the right amount and the right type of fertilizer at the right time and in the right place (Fixen, 2020; Gao & Cabrera Serrenho, 2023). Together, these four “rights” increase nitrogen use efficiency – the proportion of applied nitrogen that the crop uses (Congreves et al., 2021). Improved nutrient management is often a win-win for the farmer and the environment, reducing fertilizer costs while also lowering nitrous oxide emissions (Gu et al., 2023).

Improving nutrient management involves reducing the amount of nitrogen applied to match the crop’s requirements in areas where nitrogen is currently overapplied. A farmer can implement the other three principles – type, time, and place – in a number of ways. For example, fertilizing just before planting instead of after the previous season’s harvest better matches the timing of nitrogen addition to that of plant uptake, reducing nitrous oxide emissions before the crop is planted. Certain types of fertilizers are better suited for maximizing plant uptake, such as extended-release fertilizers, which allow the crop to steadily absorb nutrients over time. Techniques such as banding, in which farmers apply fertilizers in concentrated bands close to the plant roots instead of spreading them evenly across the soil surface, also reduce nitrous oxide emissions. Each of these practices can increase nitrogen use efficiency and decrease the amount of excess nitrogen lost as nitrous oxide (Gao & Cabrera Serrenho, 2023; Gu et al., 2023; Wang et al., 2024; You et al., 2023).

For this solution, we estimated a target rate of nitrogen application for major crops as the 20th percentile of the current rate of nitrogen application (in tN/t crop) in areas where yields are near a realistic ceiling. Excess nitrogen was defined as the amount of nitrogen applied beyond the target rate (see Adoption and Appendix for more details). Our emissions estimates include nitrous oxide from croplands, fertilizer runoff, and fertilizer volatilization. They do not include emissions from fertilizer manufacturing, which are addressed in the Deploy Low-Emission Industrial Feedstocks and Increase Industrial Efficiency solutions. We excluded nutrient management on pastures from this solution due to data limitations, and address nutrient management in paddy rice systems in the Improve Rice Management solution instead. 

References

Adalibieke, W., Cui, X., Cai, H., You, L., & Zhou, F. (2023). Global crop-specific nitrogen fertilization dataset in 1961–2020. Scientific Data, 10(1), 617. https://doi.org/10.1038/s41597-023-02526-z

Almaraz, M., Bai, E., Wang, C., Trousdell, J., Conley, S., Faloona, I., & Houlton, B. Z. (2018). Agriculture is a major source of NOx pollution in California. Science Advances, 4(1), eaao3477. https://doi.org/10.1126/sciadv.aao3477

Antil, R. S., & Raj, D. (2020). Integrated nutrient management for sustainable crop production and improving soil health. In R. S. Meena (Ed.), Nutrient Dynamics for Sustainable Crop Production (pp. 67–101). Springer. https://doi.org/10.1007/978-981-13-8660-2_3

Bijay-Singh, & Craswell, E. (2021). Fertilizers and nitrate pollution of surface and ground water: An increasingly pervasive global problem. SN Applied Sciences, 3(4), 518. https://doi.org/10.1007/s42452-021-04521-8

Chivenge, P., Saito, K., Bunquin, M. A., Sharma, S., & Dobermann, A. (2021). Co-benefits of nutrient management tailored to smallholder agriculture. Global Food Security, 30, 100570. https://doi.org/10.1016/j.gfs.2021.100570

Deng, J., Guo, L., Salas, W., Ingraham, P., Charrier-Klobas, J. G., Frolking, S., & Li, C. (2018). Changes in irrigation practices likely mitigate nitrous oxide emissions from California cropland. Global Biogeochemical Cycles, 32(10), 1514–1527. https://doi.org/10.1029/2018GB005961

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., Tilman, D., Tschofen, P., & Hill, J. D. (2021). Air quality–related health damages of food. Proceedings of the National Academy of Sciences, 118(20), e2013637118. https://doi.org/10.1073/pnas.2013637118

Elberling, B. B., Kovács, G. M., Hansen, H. F. E., Fensholt, R., Ambus, P., Tong, X., Gominski, D., Mueller, C. W., Poultney, D. M. N., & Oehmcke, S. (2023). High nitrous oxide emissions from temporary flooded depressions within croplands. Communications Earth & Environment, 4(1), 1–9. https://doi.org/10.1038/s43247-023-01095-8

Fixen, P. E. (2020). A brief account of the genesis of 4R nutrient stewardship. Agronomy Journal, 112(5), 4511–4518. https://doi.org/10.1002/agj2.20315

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(7369), 337–342. https://doi.org/10.1038/nature10452

Gao, Y., & Cabrera Serrenho, A. (2023). Greenhouse gas emissions from nitrogen fertilizers could be reduced by up to one-fifth of current levels by 2050 with combined interventions. Nature Food, 4(2), 170–178. https://doi.org/10.1038/s43016-023-00698-w

Gerber, J. S., Carlson, K. M., Makowski, D., Mueller, N. D., Garcia de Cortazar-Atauri, I., Havlík, P., Herrero, M., Launay, M., O’Connell, C. S., Smith, P., & West, P. C. (2016). Spatially explicit estimates of nitrous oxide emissions from croplands suggest climate mitigation opportunities from improved fertilizer management. Global Change Biology, 22(10), 3383–3394. https://doi.org/10.1111/gcb.13341

Gerber, J. S., Ray, D. K., Makowski, D., Butler, E. E., Mueller, N. D., West, P. C., Johnson, J. A., Polasky, S., Samberg, L. H., & Siebert, S. (2024). Global spatially explicit yield gap time trends reveal regions at risk of future crop yield stagnation. Nature Food, 5(2), 125–135. https://doi.org/10.1038/s43016-023-00913-8 

Gong, C., Tian, H., Liao, H., Pan, N., Pan, S., Ito, A., Jain, A. K., Kou-Giesbrecht, S., Joos, F., Sun, Q., Shi, H., Vuichard, N., Zhu, Q., Peng, C., Maggi, F., Tang, F. H. M., & Zaehle, S. (2024). Global net climate effects of anthropogenic reactive nitrogen. Nature, 632(8025), 557–563. https://doi.org/10.1038/s41586-024-07714-4

Gu, B., Zhang, X., Lam, S. K., Yu, Y., van Grinsven, H. J. M., Zhang, S., Wang, X., Bodirsky, B. L., Wang, S., Duan, J., Ren, C., Bouwman, L., de Vries, W., Xu, J., Sutton, M. A., & Chen, D. (2023). Cost-effective mitigation of nitrogen pollution from global croplands. Nature, 613(7942), 77–84. https://doi.org/10.1038/s41586-022-05481-8

Hergoualc’h, K., Akiyama, H., Bernoux, M., Chirinda, N., del Prado, A., Kasimir, Å., MacDonald, J. D., Ogle, S. M., Regina, K., & van der Weerden, T. J. (2019). Chapter 11: nitrous oxide Emissions from managed soils, and CO₂ emissions from lime and urea application (2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories). Intergovernmental Panel on Climate Change. https://www.ipcc-nggip.iges.or.jp/public/2019rf/pdf/4_Volume4/19R_V4_Ch11_Soils_nitrous oxide_CO₂. pdf

Hergoualc’h, K., Mueller, N., Bernoux, M., Kasimir, Ä., van der Weerden, T. J., & Ogle, S. M. (2021). Improved accuracy and reduced uncertainty in greenhouse gas inventories by refining the IPCC emission factor for direct nitrous oxide emissions from nitrogen inputs to managed soils. Global Change Biology, 27(24), 6536–6550. https://doi.org/10.1111/gcb.15884

IPCC, 2019: Summary for Policymakers. In: 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 [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.)].

Lam, S. K., Suter, H., Mosier, A. R., & Chen, D. (2017). Using nitrification inhibitors to mitigate agricultural nitrous oxide emission: A double-edged sword? Global Change Biology, 23(2), 485–489. https://doi.org/10.1111/gcb.13338

Lawrence, N. C., Tenesaca, C. G., VanLoocke, A., & Hall, S. J. (2021). Nitrous oxide emissions from agricultural soils challenge climate sustainability in the US Corn Belt. Proceedings of the National Academy of Sciences, 118(46), e2112108118. https://doi.org/10.1073/pnas.2112108118

Ludemann, C. I., Wanner, N., Chivenge, P., Dobermann, A., Einarsson, R., Grassini, P., Gruere, A., Jackson, K., Lassaletta, L., Maggi, F., Obli-Laryea, G., van Ittersum, M. K., Vishwakarma, S., Zhang, X., & Tubiello, F. N. (2024). A global FAOSTAT reference database of cropland nutrient budgets and nutrient use efficiency (1961–2020): Nitrogen, phosphorus and potassium. Earth System Science Data, 16(1), 525–541. https://doi.org/10.5194/essd-16-525-2024

Menegat, S., Ledo, A., & Tirado, R. (2022). Greenhouse gas emissions from global production and use of nitrogen synthetic fertilisers in agriculture. Scientific Reports, 12(1), 14490. https://doi.org/10.1038/s41598-022-18773-w

Michaelowa, A., Hermwille, L., Obergassel, W., & Butzengeiger, S. (2019). Additionality revisited: Guarding the integrity of market mechanisms under the Paris Agreement. Climate Policy, 19(10), 1211–1224. https://doi.org/10.1080/14693062.2019.1628695

Mueller, N. D., Gerber, J. S., Johnston, M., Ray, D. K., Ramankutty, N., & Foley, J. A. (2012). Closing yield gaps through nutrient and water management. Nature, 490(7419), Article 7419. https://doi.org/10.1038/nature11420

Patel, N., Srivastav, A. L., Patel, A., Singh, A., Singh, S. K., Chaudhary, V. K., Singh, P. K., & Bhunia, B. (2022). Nitrate contamination in water resources, human health risks and its remediation through adsorption: A focused review. Environmental Science and Pollution Research, 29(46), 69137–69152. https://doi.org/10.1007/s11356-022-22377-2

Pinder, R. W., Davidson, E. A., Goodale, C. L., Greaver, T. L., Herrick, J. D., & Liu, L. (2012). Climate change impacts of US reactive nitrogen. Proceedings of the National Academy of Sciences, 109(20), 7671–7675. https://doi.org/10.1073/pnas.1114243109

Porter, E. M., Bowman, W. D., Clark, C. M., Compton, J. E., Pardo, L. H., & Soong, J. L. (2013). Interactive effects of anthropogenic nitrogen enrichment and climate change on terrestrial and aquatic biodiversity. Biogeochemistry, 114(1), 93–120. https://doi.org/10.1007/s10533-012-9803-3

Qiao, C., Liu, L., Hu, S., Compton, J. E., Greaver, T. L., & Li, Q. (2015). How inhibiting nitrification affects nitrogen cycle and reduces environmental impacts of anthropogenic nitrogen input. Global Change Biology, 21(3), 1249–1257. https://doi.org/10.1111/gcb.12802

Qin, Z., Deng, S., Dunn, J., Smith, P., & Sun, W. (2021). Animal waste use and implications to agricultural greenhouse gas emissions in the United States. Environmental Research Letters, 16(6), 064079. https://doi.org/10.1088/1748-9326/ac04d7

Reay, D. S., Davidson, E. A., Smith, K. A., Smith, P., Melillo, J. M., Dentener, F., & Crutzen, P. J. (2012). Global agriculture and nitrous oxide emissions. Nature Climate Change, 2(6), 410–416. https://doi.org/10.1038/nclimate1458

Rockström, J., Williams, J., Daily, G., Noble, A., Matthews, N., Gordon, L., Wetterstrand, H., DeClerck, F., Shah, M., Steduto, P., de Fraiture, C., Hatibu, N., Unver, O., Bird, J., Sibanda, L., & Smith, J. (2017). Sustainable intensification of agriculture for human prosperity and global sustainability. Ambio, 46(1), 4–17. https://doi.org/10.1007/s13280-016-0793-6

Rurinda, J., Zingore, S., Jibrin, J. M., Balemi, T., Masuki, K., Andersson, J. A., Pampolino, M. F., Mohammed, I., Mutegi, J., Kamara, A. Y., Vanlauwe, B., & Craufurd, P. Q. (2020). Science-based decision support for formulating crop fertilizer recommendations in sub-Saharan Africa. Agricultural Systems, 180, 102790. https://doi.org/10.1016/j.agsy.2020.102790

Scavia, D., David Allan, J., Arend, K. K., Bartell, S., Beletsky, D., Bosch, N. S., Brandt, S. B., Briland, R. D., Daloğlu, I., DePinto, J. V., Dolan, D. M., Evans, M. A., Farmer, T. M., Goto, D., Han, H., Höök, T. O., Knight, R., Ludsin, S. A., Mason, D., … Zhou, Y. (2014). Assessing and addressing the re-eutrophication of Lake Erie: Central basin hypoxia. Journal of Great Lakes Research, 40(2), 226–246. https://doi.org/10.1016/j.jglr.2014.02.004

Selim, M. M. (2020). Introduction to the integrated nutrient management strategies and their contribution to yield and soil properties. International Journal of Agronomy, 2020(1), 2821678. https://doi.org/10.1155/2020/2821678

Shcherbak, I., Millar, N., & Robertson, G. P. (2014). Global metaanalysis of the nonlinear response of soil nitrous oxide (nitrous oxide) emissions to fertilizer nitrogen. Proceedings of the National Academy of Sciences, 111(25), 9199–9204. https://doi.org/10.1073/pnas.1322434111

Shindell, D. T., Faluvegi, G., Koch, D. M., Schmidt, G. A., Unger, N., & Bauer, S. E. (2009). Improved attribution of climate forcing to emissions. Science, 326(5953), 716–718. https://doi.org/10.1126/science.1174760

Sobota, D. J., Compton, J. E., McCrackin, M. L., & Singh, S. (2015). Cost of reactive nitrogen release from human activities to the environment in the United States. Environmental Research Letters, 10(2), 025006. https://doi.org/10.1088/1748-9326/10/2/025006

Tian, H., Xu, R., Canadell, J. G., Thompson, R. L., Winiwarter, W., Suntharalingam, P., Davidson, E. A., Ciais, P., Jackson, R. B., Janssens-Maenhout, G., Prather, M. J., Regnier, P., Pan, N., Pan, S., Peters, G. P., Shi, H., Tubiello, F. N., Zaehle, S., Zhou, F., … Yao, Y. (2020). A comprehensive quantification of global nitrous oxide sources and sinks. Nature, 586(7828), 248–256. https://doi.org/10.1038/s41586-020-2780-0

van Grinsven, H. J. M., Bouwman, L., Cassman, K. G., van Es, H. M., McCrackin, M. L., & Beusen, A. H. W. (2015). Losses of ammonia and nitrate from agriculture and their effect on nitrogen recovery in the European Union and the United States between 1900 and 2050. Journal of Environmental Quality, 44(2), 356–367. https://doi.org/10.2134/jeq2014.03.0102

Vanlauwe, B., Descheemaeker, K., Giller, K. E., Huising, J., Merckx, R., Nziguheba, G., Wendt, J., & Zingore, S. (2015). Integrated soil fertility management in sub-Saharan Africa: Unravelling local adaptation. SOIL, 1(1), 491–508. https://doi.org/10.5194/soil-1-491-2015

Wang, C., Shen, Y., Fang, X., Xiao, S., Liu, G., Wang, L., Gu, B., Zhou, F., Chen, D., Tian, H., Ciais, P., Zou, J., & Liu, S. (2024). Reducing soil nitrogen losses from fertilizer use in global maize and wheat production. Nature Geoscience, 17(10), 1008–1015. https://doi.org/10.1038/s41561-024-01542-x

Wang, Y., Li, C., Li, Y., Zhu, L., Liu, S., Yan, L., Feng, G., & Gao, Q. (2020). Agronomic and environmental benefits of Nutrient Expert on maize and rice in Northeast China. Environmental Science and Pollution Research, 27(22), 28053–28065. https://doi.org/10.1007/s11356-020-09153-w

Ward, M. H., Jones, R. R., Brender, J. D., de Kok, T. M., Weyer, P. J., Nolan, B. T., Villanueva, C. M., & van Breda, S. G. (2018). Drinking water nitrate and human health: an updated review. International Journal of Environmental Research and Public Health, 15(7), 1557. https://doi.org/10.3390/ijerph15071557

Withers, P. J. A., Neal, C., Jarvie, H. P., & Doody, D. G. (2014). Agriculture and eutrophication: where do we go from here? Sustainability, 6(9), Article 9. https://doi.org/10.3390/su6095853

You, L., Ros, G. H., Chen, Y., Shao, Q., Young, M. D., Zhang, F., & de Vries, W. (2023). Global mean nitrogen recovery efficiency in croplands can be enhanced by optimal nutrient, crop and soil management practices. Nature Communications, 14(1), 5747. https://doi.org/10.1038/s41467-023-41504-2

Zaehle, S., Ciais, P., Friend, A. D., & Prieur, V. (2011). Carbon benefits of anthropogenic reactive nitrogen offset by nitrous oxide emissions. Nature Geoscience, 4(9), 601–605. https://doi.org/10.1038/ngeo1207

Zhang, X., Fang, Q., Zhang, T., Ma, W., Velthof, G. L., Hou, Y., Oenema, O., & Zhang, F. (2020). Benefits and trade-offs of replacing synthetic fertilizers by animal manures in crop production in China: A meta-analysis. Global Change Biology, 26(2), 888–900. https://doi.org/10.1111/gcb.14826

Credits

Lead Fellow

  • Avery Driscoll, Ph.D.

Contributors

  • Ruthie Burrows, Ph.D.

  • James Gerber, Ph.D.

  • Yusuf Jameel, Ph.D.

  • Daniel Jasper

  • Alex Sweeney

  • Eric Toensmeier

Internal Reviewers

  • Aiyana Bodi

  • Hannah Henkin

  • Ted Otte

Effectiveness

We relied on the 2019 IPCC emissions factors to calculate the emissions impacts of improved nutrient management. These are disaggregated by climate zone (“wet” vs. “dry”) and by fertilizer type (“organic” vs. “synthetic”). Nitrogen use reductions in wet climates, which include ~65% of the cropland area represented in this analysis (see Appendix for details), have the largest impact. In these areas, a 1 t reduction in nitrogen use reduces emissions by 8.7 t CO₂‑eq on average for synthetic fertilizers and by 5.0 t CO₂‑eq for organic fertilizers. Emissions savings are lower in dry climates, where a 1 t reduction in nitrogen use reduces emissions by 2.4 t CO₂‑eq for synthetic fertilizers and by 2.6 t CO₂‑eq for organic fertilizers. While these values reflect the median emissions reduction for each climate zone and fertilizer type, they are associated with large uncertainties because emissions are highly variable depending on climate, soil, and management conditions. 

Based on our analysis of the adoption ceiling for each climate zone and fertilizer type (see Appendix), we estimated that a 1 t reduction in nitrogen use reduces emissions by 6.0 t CO₂‑eq at the global average (Table 1). This suggests that ~1.4% of the applied nitrogen is emitted as nitrous oxide at the global average, which is consistent with existing estimates (IPCC, 2019). 

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Table 1. Effectiveness at reducing emissions.

Unit: t CO₂‑eq /tN, 100-yr basis

25th percentile 4.2
median (50th percentile) 6.0
75th percentile 7.7
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Cost

Improving nutrient management typically reduces fertilizer costs while maintaining or increasing yields, resulting in a net financial benefit to the producer. Gu et al. (2023) found that a 21% reduction in global nitrogen use would be economically beneficial, notably after accounting for increased fertilizer use in places that do not currently have adequate access. Using data from their study, we evaluated the average cost of reduced nitrogen application considering the following nutrient management practices: increased use of high-efficiency fertilizers, organic fertilizers, and/or legumes; optimizing fertilizer rates; altering the timing and/or placement of fertilizer applications; and use of buffer zones. Implementation costs depend on the strategy used to improve nutrient management. For example, optimizing fertilizer rates requires soil testing and the ability to apply different fertilizer rates to different parts of a field. Improving timing can involve applying fertilizers at two different times during the season, increasing labor and equipment operation costs. Furthermore, planting legumes incurs seed purchase and planting costs. 

Gu et al. (2023) estimated that annual reductions of 42 Mt of nitrogen were achievable globally using these practices, providing total fertilizer savings of US$37.2 billion and requiring implementation costs of US$15.9 billion, adjusted for inflation to 2023. A 1 t reduction in excess nitrogen application, therefore, was estimated to provide an average of US$507.80 of net cost savings, corresponding to a savings of US$85.21 per t CO₂‑eq of emissions reductions (Table 2).

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Table 2. Cost per unit of climate impact, 100-yr basis.

Unit: 2023 US$/t CO₂‑eq

mean -85.21
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Methods and Supporting Data

Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018). TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015. Scientific Data, 5(1), 170191. https://doi.org/10.1038/sdata.2017.191

Adalibieke, W., Cui, X., Cai, H., You, L., & Zhou, F. (2023). Global crop-specific nitrogen fertilization dataset in 1961–2020. Scientific Data, 10(1), 617. https://doi.org/10.1038/s41597-023-02526-z

Gerber, J. S., Ray, D. K., Makowski, D., Butler, E. E., Mueller, N. D., West, P. C., Johnson, J. A., Polasky, S., Samberg, L. H., & Siebert, S. (2024). Global spatially explicit yield gap time trends reveal regions at risk of future crop yield stagnation. Nature Food, 5(2), 125–135. https://doi.org/10.1038/s43016-023-00913-8 

IPCC, 2019: Summary for Policymakers. In: 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 [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.)].

Mehta, P., Siebert, S., Kummu, M., Deng, Q., Ali, T., Marston, L., Xie, W., & Davis, K. F. (2024). Half of twenty-first century global irrigation expansion has been in water-stressed regions. Nature Water, 2(3), 254–261. https://doi.org/10.1038/s44221-024-00206-9

Learning Curve

The improved nutrient management strategies considered for this solution are already well-established and widely deployed (Fixen, 2020). Large nitrogen excesses are relatively easy to mitigate through simple management changes with low implementation costs. As nitrogen use efficiency increases, further reductions may require increasingly complex mitigation practices and increasing marginal costs. Therefore, a learning curve was not quantified 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.

Improve Nutrient Management is a GRADUAL climate solution. It has a steady, linear impact on the atmosphere. The cumulative effect over time builds as a straight line.

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Caveats

Emissions reductions from improved nutrient management are permanent, though they may not be additional in all cases.

Permanence

As this solution reduces emissions rather than enhancing sequestration, permanence is not applicable.

Additionality

Additionality requires that the emissions benefits of the practice are attributable to climate-related incentives and would not have occurred in the absence of incentives (Michaelowa et al., 2019). If they are not contingent on external incentives, fertilizer use reductions implemented solely to maximize profits do not meet the threshold for additionality. However, fertilizer reductions may be additional if incentives are required to provide access to the technical knowledge and soil testing required to identify optimal rates. Other forms of nutrient management (e.g., applying nitrification inhibitors, using extended-release or organic fertilizers, or splitting applications between two time points) may involve additional costs, substantial practice change, and technical expertise. Thus, these practices are likely to be additional.

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Current Adoption

Given that improved nutrient management takes a variety of forms and data on the adoption of individual practices are very limited, we leveraged several global datasets related to nitrogen use and yields to directly assess improvements in nitrogen use efficiency (see Appendix for details).

First, we calculated nitrogen use per t of crop produced using global maps of nitrogen fertilizer use (Adalibieke et al., 2023) and global maps of crop yields (Gerber et al., 2024) for 17 major crops (see Appendix). Next, we determined a target nitrogen use rate (t N/t crop) for each crop, corresponding to the 20th percentile of nitrogen use rates observed in croplands with yield gaps at or below the 20th percentile, meaning that actual yields were close to an attainable yield ceiling (Gerber et al., 2024). Areas with large yield gaps were excluded from the calculation of target nutrient use efficiency because insufficient nitrogen supply may be compromising yields (Mueller et al., 2012). Yield data were not available for a small number of crops; for these, we assumed reductions in nitrogen use to be proportional to those of other crops.

We considered croplands that had achieved the target rate and had yield gaps lower than the global median to have adopted the solution. We calculated the amount of excess nitrogen use avoided from these croplands as the difference in total nitrogen use under current fertilization rates relative to median fertilizer application rates. As of 2020, croplands that had achieved the adoption threshold for improved nutrient management avoided 10.45 Mt of nitrogen annually relative to the median nitrogen use rate (Table 3), equivalent to 11% of the adoption ceiling.

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Table 3. Current (2020) adoption level.

Unit: tN/yr

estimate 10,450,000
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Adoption Trend

Global average nitrogen use efficiency increased from 47.7% to 54.6% between 2000 and 2020, a rate of approximately 0.43%/yr (Ludemann et al., 2024). This increase accelerated somewhat in the latter decade, from an average rate of 0.38%/yr to 0.53%/yr. Underlying this increase were increases in both the amount of nitrogen used and the amount of excess nitrogen. Total nitrogen additions increased by approximately 2.64 Mt/yr, with the amount of nitrogen used increasing more rapidly (1.99 Mt/yr) than the amount of excess nitrogen (0.65 Mt/yr) between 2000 and 2020 (Ludemann et al., 2024). Although nitrogen use increased between 2000 and 2020 as yields increased, the increase in nitrogen use efficiency suggests uptake of this solution.

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Adoption Ceiling

We estimated the adoption ceiling of improved nutrient management to be 95.13 Mt avoided excess nitrogen use/year (Table 4), including current adoption. This value reflects our estimate of the maximum potential reduction in nitrogen application while avoiding large yield losses and consists of the potential to avoid 62.25 Mt of synthetic nitrogen use and 32.88 Mt of manure and other organic nitrogen use, in addition to current adoption. In total, this is equivalent to an additional 68% reduction in global nitrogen use. The adoption ceiling was calculated as the difference between total nitrogen use at the current rate and total nitrogen use at the target rate (as described in Current Adoption), assuming no change in crop yields. For nitrogen applied to crops for which yield data were not available, the potential reduction in nitrogen use was assumed to be proportional to that of crops for which full data were available.

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Table 4. Adoption ceiling.

Unit: tN/yr

estimate 105,580,000
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Achievable Adoption

We estimated that fertilizer use reductions of 69.85–91.06 Mt of nitrogen are achievable, reflecting current adoption plus nitrogen savings due to the achievement of nitrogen application rates equal to the median and 30th percentile of nitrogen application rates occurring in locations where yield gaps are small (Table 5).

This range is more ambitious than a comparable recent estimate by Gu et al. (2023), who found that reductions of approximately 42 Mt of nitrogen are avoidable via cost-effective implementation of similar practices. Differences in target nitrogen use efficiencies underlie differences between our estimates and those of Gu et al., whose findings correspond to an increase in global average cropland nitrogen use efficiency from 42% to 52%. Our estimates reflect higher target nitrogen use efficiencies. Nitrogen use efficiencies greater than 52% have been widely achieved through basic practice modification without compromising yields or requiring prohibitively expensive additional inputs. For instance, You et al. (2023) estimated that the global average nitrogen use efficiency could be increased to 78%. Similarly, cropland nitrogen use efficiency in the United States in 2020 was estimated to be 71%, and substantial opportunities for improved nitrogen use efficiency are still available within the United States (Ludemann et al., 2024), though Lu et al. (2019) and Swaney et al. (2018) report slightly lower estimates. These findings support our slightly more ambitious range of achievable nitrogen use reductions for this solution.

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Table 5. Range of achievable adoption levels.

Unit: tN/yr

Current Adoption 10,450,000
Achievable – Low 69,850,000
Achievable – High 91,060,000
Adoption Ceiling 105,580,000
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We estimated that improved nutrient management has the potential to reduce emissions by 0.63 Gt CO₂‑eq/yr, with achievable emissions reductions of 0.42–0.54 Gt CO₂‑eq/yr (Table 6). This is equivalent to an additional 56–76% reduction in total nitrous oxide emissions from fertilizer use, based on the croplands represented in our analysis.

We estimated avoidable emissions by multiplying our estimates of adoption ceiling and achievable adoption by the relevant IPCC 2019 emissions factors, disaggregated by climate zone and fertilizer type. Under the adoption ceiling scenario, approximately 70% of emissions reductions occurred in wet climates, where emissions per t of applied fertilizer are higher. Reductions in synthetic fertilizer use, which are larger than reductions in organic fertilizer use, contributed about 76% of the potential avoidable emissions. We estimated that the current implementation of improved nutrient management was associated with 0.06 Gt CO₂‑eq/yr of avoided emissions. 

Our estimates are slightly more optimistic but well within the range of the IPCC 2021 estimates, which found that improved nutrient management could reduce nitrous oxide emissions by 0.06–0.7 Gt CO₂‑eq/yr.

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Table 6. Climate impact at different levels of adoption.

Unit: Gt CO₂-eq/yr, 100-yr basis

Current Adoption 0.06
Achievable – Low 0.42
Achievable – High 0.54
Adoption Ceiling 0.63
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Additional Benefits

Food Security

While excessive nutrients cause environmental problems in some parts of the world, insufficient nutrients are a significant problem in others, resulting in lower agricultural yields (Foley et al., 2011). Targeted, site-specific, efficient use of fertilizers can improve crop productivity (Mueller et al., 2012; Vanlauwe et al., 2015), improving food security globally. 

Health

Domingo et al. (2021) estimated about 16,000 premature deaths annually in the United States are due to air pollution from the food sector and found that more than 3,500 premature deaths per year could be avoided through reduced use of ammonia fertilizer, a secondary particulate matter precursor. Better agriculture practices overall can reduce particulate matter-related premature deaths from the agriculture sector by 50% (Domingo et al., 2021). Nitrogen oxides from fertilized croplands is another source of agriculture-based air pollution, and improved management can lead to decreased respiratory and cardiovascular disease (Almarez et al., 2018; Sobota et al., 2015). 

Nitrate contamination of drinking water due to excessive runoff from agriculture fields has been linked to several health disorders, including methemoglobinemia and cancer (Patel et al., 2022; Ward et al., 2018). Reducing nutrient runoff through better management is critical to minimize these risks (Ward et al., 2018). 

Income and Work

Better nutrient management reduces farmers' input costs and increases profitability (Rurinda et al., 2020; Wang et al., 2020). It is especially beneficial to smallholder farmers in sub-Saharan Africa, where site-specific nutrient management programs have demonstrated a significant increase in yield (Chivenge et al., 2021). A review of 61 studies across 11 countries showed that site-specific nutrient management resulted in an average increase in yield by 12% and increased farmer’s’ income by 15% while improving nitrogen use efficiency (Chivenge et al., 2021). 

Nature protection

Nutrient runoff from agricultural systems is a major driver of water pollution globally, leading to eutrophication and hypoxic zones in aquatic ecosystems (Bijay-Singh & Craswell, 2021). Nitrogen pollution also harms terrestrial biodiversity through soil acidification and increases productivity of fast-growing species, including invasives, which can outcompete native species (Porter et al., 2013). Improved nutrient management is necessary to reduce nitrogen and phosphorus loads to water bodies (Withers et al., 2014; van Grinsven et al., 2019) and terrestrial ecosystems (Porter et al., 2013). These practices have been effective in reducing harmful algal blooms and preserving biodiversity in sensitive water systems (Scavia et al., 2014). 

Resilience to Drought

Balanced nutrient concentration contributes to long-term soil fertility and improved soil health by enhancing organic matter content, microbial diversity, and nutrient cycling (Antil & Raj, 2020; Selim, 2020). Healthy soil experiences reduced erosion and has higher water content, which increases its resilience to droughts and extreme heat (Rockström et al., 2017).

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Risks

Although substantial reductions in nitrogen use can be achieved in many places with no or minimal impacts on yields, reducing nitrogen application by too much can lead to yield declines, which in turn can boost demand for cropland, causing GHG-producing land use change. Reductions in only excess nitrogen application will prevent substantial yield losses.

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Some nutrient management practices are associated with additional emissions. For example, nitrification inhibitors reduce direct nitrous oxide emissions (Qiao et al., 2014) but can increase ammonia volatilization and subsequent indirect nitrous oxide emissions (Lam et al., 2016). Additionally, in wet climates, nitrous oxide emissions may be reduced through the use of manure instead of synthetic fertilizers (Hergoualc’h et al., 2019), though impacts vary across sites and studies (Zhang et al., 2020). Increased demand for manure could increase livestock production, which has high associated GHG emissions. Emissions also arise from transporting manure to the site of use (Qin et al., 2021).

Although nitrous oxide has a strong direct climate-warming effect, fertilizer use can cool the climate through emissions of other reactive nitrogen-containing compounds (Gong et al., 2024). First, aerosols from fertilizers scatter heat from the sun and cool the climate (Shindell et al., 2009; Gong et al., 2024). Moreover, other reactive nitrogen compounds from fertilizers shorten the lifespan of methane in the atmosphere, reducing its warming effects (Pinder et al., 2012). Finally, nitrogen fertilizers that leave farm fields through volatilization or runoff are ultimately deposited elsewhere, enhancing photosynthesis and sequestering additional carbon in plants and soils (Zaehle et al., 2011; Gong et al., 2024). Improved nutrient management would reduce these cooling effects.

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Interactions with Other Solutions

Reinforcing

Improved nutrient management will reduce emissions from the production phase of biomass crops, increasing their benefit.

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Competing

Improved nutrient management will reduce the GHG production associated with each calorie and, therefore, the impacts of the Improve Diets and Reduce Food Loss and Waste solutions will be reduced

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Each of these solutions could decrease emissions associated with fertilizer production, but improved nutrient management will reduce total demand for fertilizers.

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Dashboard

Solution Basics

t avoided excess nitrogen application/yr

tCO2-eq/unit
6
units
Current 1.05×10⁷6.99×10⁷9.11×10⁷
Achievable (Low to High)

Climate Impact

GtCO2-eq/yr
Current 0.06 0.420.54
US$ per tCO2-eq
-85
Gradual

N₂O

tCO2-eq/ha
01

The Problem — Emissions of Nitrous Oxide Coming from Over-fertilized Soils

The world’s agricultural lands can emit high levels of nitrous oxide (N2O), the third most powerful greenhouse gas. These emissions stem from overusing nitrogen-based fertilizers, especially in regions in China, India, Western Europe, and central North America (in red). While crops absorb some of the nitrogen fertilizer we apply, much of what remains is lost to the atmosphere as nitrous oxide pollution or to local waterways as nitrate pollution. Using fertilizers more wisely can dramatically reduce greenhouse gas emissions and water pollution while maintaining high levels of crop production.

Analysis: Project Drawdown; Driscoll et al, In prep.

tCO2-eq/ha
01

The Problem — Emissions of Nitrous Oxide Coming from Over-fertilized Soils

The world’s agricultural lands can emit high levels of nitrous oxide (N2O), the third most powerful greenhouse gas. These emissions stem from overusing nitrogen-based fertilizers, especially in regions in China, India, Western Europe, and central North America (in red). While crops absorb some of the nitrogen fertilizer we apply, much of what remains is lost to the atmosphere as nitrous oxide pollution or to local waterways as nitrate pollution. Using fertilizers more wisely can dramatically reduce greenhouse gas emissions and water pollution while maintaining high levels of crop production.

Analysis: Project Drawdown; Driscoll et al, In prep.

Geographic Guidance Introduction

Improved nutrient management will have the greatest emissions reduction if it is targeted at areas with the largest excesses of nitrogen fertilizer use. In 2020, China, India, and the United States alone accounted for 52% of global excess nitrogen application (Ludemann et al., 2024). Improved nutrient management could be particularly beneficial in China and India, where nutrient use efficiency is currently lower than average (Ludemann et al., 2024). You et al. (2023) also found potential for large increases in nitrogen use efficiency in parts of China, India, Australia, Northern Europe, the United States Midwest, Mexico, and Brazil under standard best management practices. Gu et al. (2024) found that nitrogen input reductions are economically feasible in most of Southern Asia, Northern and Western Europe, parts of the Middle East, North America, and Oceania.

In addition to regional patterns in the adoption ceiling, greater nitrous oxide emissions reductions are possible in wet climates or on irrigated croplands compared to dry climates. Nitrous oxide emissions tend to peak when nitrogen availability is high and soil moisture is in the ~70–90% range (Betterbach-Bahl et al., 2013; Elberling et al., 2023; Hao et al., 2025; Lawrence et al., 2021), though untangling the drivers of nitrous oxide emissions is complex (Lawrence et al., 2021). Water management to avoid prolonged periods of soil moisture in this range is an important complement to nutrient management in wet climates and on irrigated croplands (Deng et al., 2018).

Importantly, improved nutrient management, as defined here, is not appropriate for implementation in areas with nitrogen deficits or negligible nitrogen surpluses, including much of Africa. In these areas, crop yields are constrained by nitrogen availability, and an increase in nutrient inputs may be needed to achieve target yields. Additionally, nutrient management in paddy (flooded) rice systems is not included in this solution but rather in the Improve Rice Production solution.

Action Word
Improve
Solution Title
Nutrient Management
Classification
Highly Recommended
Lawmakers and Policymakers
  • Focus policies and regulations on the four nutrient management principles – right rate, type, time, and place.
  • Create dynamic nutrient management policies that account for varying practices, environments, drainage, historical land use, and other factors that may require adjusting nutrient regulations.
  • Offer financial assistance responsive to local soil and weather conditions, such as grants and subsidies, insurance programs, and tax breaks, to encourage farmers to comply with regulations.
  • Mandate insurance schemes that allow farmers to reduce fertilizer use.
  • Mandate nutrient budgets or ceilings that are responsive to local yield, weather, and soil conditions.
  • Require farmers to formulate nutrient management and fertilizer plans.
  • Mandate efficiency rates for manure-spreading equipment.
  • Ensure access to and require soil tests to inform fertilizer application.
  • Invest in research on alternative organic nutrient sources.
  • Create and expand education programs and extension services that highlight the problems that arise from the overuse of fertilizers, benefits of soil management such as cost-savings, and penalties for non-compliance
  • Create ongoing support groups among farmers.

Further information:

Practitioners
  • Use the four nutrient management principles – right rate, type, time, and place – to guide fertilizer application.
  • Utilize or advocate for financial assistance and tax breaks for farmers to improve nutrient management techniques.
  • Create and adhere to nutrient and fertilizer management plans.
  • Conduct soil tests to inform fertilizer application.
  • Use winter cover crops, crop rotations, residue retention, and split applications for fertilizer.
  • Improve the efficiency of, and regularly calibrate, manure-spreading equipment.
  • Leverage agroecological practices such as nutrient recycling and biological nitrogen fixation.
  • Join, create, or participate in partnerships or certification programs dedicated to improving nutrient management.
  • Take advantage of education programs, support groups, and extension services focused on improved nutrient management.

Further information:

Business Leaders
  • Provide incentives for farmers in primary sourcing regions to adopt best management practices for reducing nitrogen application.
  • Invest in companies that use improved nutrient management techniques or produce equipment or research for fertilizer application and testing.
  • Advocate to policymakers for improved nutrient management techniques, incentives, and regulations.
  • Join, create, or participate in partnerships or certification programs dedicated to improving nutrient management practices.
  • Promote products produced with improved nutrient management techniques and educate consumers about the importance of the practice.
  • Create or support education programs and extension services that highlight the problems that arise from the overuse of fertilizers, benefits of soil management such as cost-savings, and penalties for non-compliance.
  • Create ongoing support groups among farmers.

Further information:

Nonprofit Leaders
  • Start model farms to demonstrate improved nutrient management techniques, conduct experiments, and educate local farmers.
  • Conduct and share research on improved nutrient management techniques, alternative organic fertilizers, or local policy options.
  • Advocate to policymakers for improved nutrient management techniques, incentives, and regulations.
  • Engage with businesses to encourage corporate responsibility and/or monitor water quality and soil health.
  • Join, create, or participate in partnerships or certification programs dedicated to improving nutrient management practices.
  • Create or support education programs and extension services that highlight the problems that arise from the overuse of fertilizers, benefits of soil management such as cost-savings, and penalties for non-compliance.
  • Create ongoing support groups among farmers.

Further information:

Investors
  • Invest in companies developing technologies that support improved nutrient management such as precision fertilizer applicators, alternative fertilizers, soil management equipment, and software.
  • Invest in ETFs and ESG funds that hold companies committed to improved nutrient management techniques in their portfolios.
  • Encourage companies in your investment portfolio to adopt improved nutrient management.
  • Provide access to capital at reduced rates for farmers adhering to improved nutrient management.

Further information:

Philanthropists and International Aid Agencies
  • Provide financing for farmers to improve nutrient management.
  • Start model farms to demonstrate nutrient management techniques, conduct experiments, and educate local farmers.
  • Conduct and share research on improved nutrient management, alternative organic fertilizers, or local policy options.
  • Advocate to policymakers for improved nutrient management techniques, incentives, and regulations.
  • Engage with businesses to encourage corporate responsibility and/or monitor water quality and soil health.
  • Join, create, or participate in partnerships or certification programs dedicated to improving nutrient management practices.
  • Create or support education programs and extension services that highlight the problems that arise from the overuse of fertilizers, benefits of soil management such as cost-savings, and penalties for non-compliance.
  • Create ongoing support groups among farmers.

Further information:

Thought Leaders
  • Start model farms to demonstrate techniques, conduct experiments, and educate local farmers.
  • Conduct and share research on improved nutrient management, alternative organic fertilizers, or local policy options.
  • Advocate to policymakers for improved nutrient management techniques, incentives, and regulations.
  • Engage with businesses to encourage corporate responsibility and/or monitor water quality and soil health.
  • Join, create, or participate in partnerships dedicated to improving nutrient management practices.
  • Create or support education programs and extension services that highlight the problems that arise from the overuse of fertilizers, benefits of soil management such as cost-savings, and penalties for non-compliance.
  • Create ongoing support groups among farmers.

Further information:

Technologists and Researchers
  • Improve technology and cost-effectiveness of precision fertilizer application, slow-release fertilizer, alternative organic fertilizers, nutrient recycling, and monitoring equipment.
  • Create tracking and monitoring software to support farmers' decision-making.
  • Research and develop the application of AI and robotics for precise fertilizer application.
  • Improve data and analytics to monitor soil and water quality, assist farmers, support policymaking, and assess the impacts of policies.
  • Develop education and training applications to promote improved nutrient management and provide real-time feedback.

Further information:

Communities, Households, and Individuals
  • Create or join community-supported agriculture programs that source from farmers who used improved nutrient management practices.
  • Conduct soil tests on your lawn and garden and reduce fertilizer use if you are over-fertilizing.
  • Volunteer for soil and water quality monitoring and restoration projects.
  • Start model farms to demonstrate techniques, conduct experiments, and educate local farmers.
  • Advocate to policymakers for improved nutrient management techniques, incentives, and regulations.
  • Engage with businesses to encourage corporate responsibility and/or monitor water quality and soil health.
  • Join, create, or participate in partnerships dedicated to improving nutrient management.
  • Create or support education programs and extension services that highlight the problems that arise from the overuse of fertilizers, benefits of soil management such as cost-savings, and penalties for non-compliance.
  • Create ongoing support groups among farmers.

Further information:

Sources
Evidence Base

There is high scientific consensus that reducing nitrogen surpluses through improved nutrient management reduces nitrous oxide emissions from croplands. 

Nutrient additions to croplands produce an estimated 0.9 Gt CO₂‑eq/yr (range 0.7–1.1 Gt CO₂ -e/yr) of direct nitrous oxide emissions from fields, plus approximately 0.3 Gt CO₂‑eq/yr of indirect emissions from fertilizers that runoff into waterways or erode (Tian et al., 2020). Nitrous oxide emissions from croplands are directly linked to the amount of nitrogen applied. Furthermore, the amount of nitrous oxide emitted per unit of applied nitrogen is well quantified for a range of different nitrogen sources and field conditions (Reay et al., 2012; Shcherbak et al., 2014; Gerber et al., 2016; Intergovernmental Panel on Climate Change [IPCC], 2019; Hergoualc’h et al., 2021). Tools to improve nutrient management have been extensively studied, and practices that improve nitrogen use efficiency through right rate, time, place, and type principles have been implemented in some places for several decades (Fixen, 2020; Ludemann et al., 2024).

Recently, Gao & Cabrera Serrenho (2023) estimated that fertilizer-related emissions could be reduced up to 80% by 2050 relative to current levels using a combination of nutrient management and new fertilizer production methods. You et al. (2023) found that adopting improved nutrient management practices would increase nitrogen use efficiency from a global average of 48% to 78%, substantially reducing excess nitrogen. Wang et al. (2024) estimated that the use of enhanced-efficiency fertilizers could reduce nitrogen losses to the environment 70–75% for maize and wheat systems. Chivenge et al. (2021) found comparable results in smallholder systems in Africa and Asia.

The results presented in this document were produced through analysis of 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 calculated the potential for reducing crop nitrogen inputs and associated nitrous oxide emissions by integrating spatially explicit, crop-specific data on nitrogen inputs, crop yields, attainable yields, irrigated extent, and climate. Broadly, we calculated a “target” yield-scaled nitrogen input rate based on pixels with low yield gaps and calculated the difference between nitrous oxide emissions under the current rate and under the hypothetical target emissions rate, using nitrous oxide emissions factors disaggregated by fertilizer type and climate. 

Emissions factors

We used Tier 1 emissions factors from the IPCC 2019 Refinement to the 2006 Guidelines for National Greenhouse Gas Inventories, including direct emissions factors as well as indirect emissions from volatilization and leaching pathways. Direct emissions factors represent the proportion of applied nitrogen emitted as nitrous oxide, while we calculated volatilization and leaching emissions factors by multiplying the proportion of applied nitrogen lost through these pathways by the proportion of volatilized or leached nitrogen ultimately emitted as nitrous oxide. Including both direct and indirect emissions, organic and synthetic fertilizers emit 4.97 kg CO₂‑eq/kg nitrogen and 8.66 kg CO₂‑eq/kg nitrogen, respectively, in wet climates, and 2.59 kg CO₂‑eq/kg nitrogen and 2.38 kg CO₂‑eq/kg nitrogen in dry climates. We included uncertainty bounds (2.5th and 97.5th percentiles) for all emissions factors. 

We classified each pixel as “wet” or “dry” using an aridity index (AI) threshold of 0.65, calculated as the ratio of annual precipitation to potential evapotranspiration (PET) from TerraClimate data (1991–2020), based on a threshold of 0.65. For pixels in dry climates that contained irrigation, we took the weighted average of wet and dry emissions factors based on the fraction of cropland that was irrigated (Mehta et al., 2024). We excluded irrigated rice from this analysis due to large differences in nitrous oxide dynamics in flooded rice systems.

Current, target, and avoidable nitrogen inputs and emissions

Using highly disaggregated data on nitrogen inputsfrom Adalibieke et al. (2024) for 21 crop groups (Table S1), we calculated total crop-specific inputs of synthetic and organic nitrogen. We then averaged over 2016–2020 to reduce the influence of interannual variability in factors like fertilizer prices. These values are subsequently referred to as “current” nitrogen inputs. We calculated nitrous oxide emissions under current nitrogen inputs as the sum of the products of nitrogen inputs and the climatically relevant emissions factors for each fertilizer type.

Next, we calculated target nitrogen application rates in terms of kg nitrogen per ton of crop yield using data on actual and attainable yields for 17 crops from Gerber et al., 2024 (Table S1). For each crop, we first identified pixels in which the ratio of actual to attainable yields was above the 80th percentile globally. The target nitrogen application rate was then calculated as the 20th percentile of nitrogen application rates across low-yield-gap pixels. Finally, we calculated total target nitrogen inputs as the product of actual yields and target nitrogen input rates. We calculated hypothetical nitrous oxide emissions from target nitrogen inputs as the product of nitrogen inputs and the climatically relevant emissions factor for each fertilizer type.

The difference between current and target nitrogen inputs represents the amount by which nitrogen inputs could hypothetically be reduced without compromising crop productivity (i.e., “avoidable” nitrogen inputs). We calculated avoidable nitrous oxide emissions as the difference between nitrous oxide emissions with current nitrogen inputs and those with target nitrogen inputs. For crops for which no yield or attainable yield data were available, we applied the average percent reduction in nitrogen inputs under the target scenario from available crops to the nitrogen input data for missing crops to calculate the avoidable nitrogen inputs and emissions. 

This simple and empirically driven method aimed to identify realistically low but nutritionally adequate nitrogen application rates by including only pixels with low yield gaps, which are unlikely to be substantially nutrient-constrained. We did not control for other factors affecting nitrogen availability, such as historical nutrient application rates or depletion, rotation with nitrogen fixing crops, or tillage and residue retention practices.

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Table S1. Crops represented by the source data on nitrogen inputs (Adalibieke et al., 2024) and estimated and attainable yields (Gerber et al., 2024). Crop groups included consistently in both datasets are marked as “both,” and crop groups represented in the nitrogen input data but not in the yield datasets are marked as “nitrogen only.”

Crop Dataset(s)
BarleyBoth
CassavaBoth
CottonBoth
MaizeBoth
MilletBoth
Oil PalmBoth
PotatoBoth
RiceBoth
RyeBoth
RapeseedBoth
SorghumBoth
SoybeanBoth
SugarbeetBoth
SugarcaneBoth
SunflowerBoth
Sweet PotatoBoth
WheatBoth
GroundnutNitrogen only
FruitsNitrogen only
VegetablesNitrogen only
OtherNitrogen only
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Updated Date

Protect Forests

Submitted by Drawdown Admin on
Sector
Food, Agriculture, Land & Ocean
Mode
Cut Emissions
Cluster
Protect & Manage Ecosystems
Image
Fog sitting among trees of a dense forest canopy
Coming Soon
Off
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
Food security,Health,Equality
Nature protection,Water quality
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 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 current PA effectiveness 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 an Appendix (coming soon). 

References

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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. doi: 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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

Heilmayr, R., Rausch, L. L., Munger, J., & Gibbs, H. K. (2020). Brazil’s Amazon Soy Moratorium reduced deforestation. Nature Food, 1(12), 801–810. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. doi: 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. 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. 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. 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. 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. 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]. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. https://doi.org/10.1016/j.biocon.2017.05.014

Credits

Lead Fellow

  • Avery Driscoll, Ph.D.

Contributors

  • Ruthie Burrows, Ph.D.

  • James Gerber, Ph.D.

  • Yusuf Jameel, Ph.D. 

  • Daniel Jasper

  • Alex Sweeney

Internal Reviewers

  • Hannah Henkin

  • Ted Otte

  • Tina Swanson, Ph.D.

  • Paul West, Ph.D.

Effectiveness

We estimated that one hectare of forest protection provides total carbon benefits of 0.299–2.204 t CO₂‑eq/yr depending on the biome (Table 1; 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). 

Equation 1.

Effectiveness= (Forest lossbaseline- Forest lossprotected)* (Carbonstock + Carbonsequestration) 

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 avoiding emissions and sequestering carbon (t CO₂‑eq /ha/yr, 100-yr basis), 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

Avoided emissions 0.207
Sequestration 0.091
Total effectiveness 0.299

Unit: t CO₂‑eq/ha/yr

Avoided emissions 0.832
Sequestration 0.572
Total effectiveness 1.403

Unit: t CO₂‑eq/ha/yr

Avoided emissions 1.860
Sequestration 0.344
Total effectiveness 2.204

Unit: t CO₂‑eq/ha/yr

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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Methods and Supporting 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 

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 gradual, emergency brake, or delayed.

Protect Forests 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

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 3; 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 additional details). 

Based on our calculations, tropical forests make up the majority of forested PAs, with approximately 936 Mha under protection, followed by boreal forests (467 Mha), temperate forests (159 Mha), and subtropical forests (112 Mha). 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 4; 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
mean 19
median (50th percentile) 13
75th percentile 25
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Adoption Ceiling

We estimated an adoption ceiling of 3,370 Mha of forests globally (Table 5), defined as all existing forest areas, excluding peatlands and mangroves. Of the calculated adoption ceiling, 469 Mha of boreal forests, 282 Mha of temperate forests, 211 Mha of subtropical forests, and 734 Mha of tropical forests 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. 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 6). 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 7). 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

Boreal 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

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. 

Biodiversity

Forests are home to a wide range of species and habitats and are essential for safeguarding biodiversity. Forests have high above- and belowground 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). 

Resilience to 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).

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 to ensure 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).

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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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Reducing the demand for agricultural land will reduce barriers to forest protection.

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Competing

Forest protection will decrease the availability and increase the prices of wood feedstocks for other applications.

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Dashboard

Solution Basics

1 hectare of forest protected

tCO2-eq/unit/yr
0.3
units
Current 4.67×10⁸8.47×10⁸8.61×10⁸
Achievable (Low to High)

Climate Impact

GtCO2-eq/yr
Current 0.14 0.250.26
US$ per tCO2-eq
2
Emergency Brake

CO₂

Solution Basics

1 hectare of forest protected

tCO2-eq/unit/yr
1.4
units
Current 1.59×10⁸2.04×10⁸3.77×10⁸
Achievable (Low to High)

Climate Impact

GtCO2-eq/yr
Current 0.22 0.290.53
US$ per tCO2-eq
2
Emergency Brake

CO₂

Solution Basics

1 hectare of forest protected

tCO2-eq/unit/yr
2.2
units
Current 1.12×10⁸1.26×10⁸2.19×10⁸
Achievable (Low to High)

Climate Impact

GtCO2-eq/yr
Current 0.25 0.280.48
US$ per tCO2-eq
2
Emergency Brake

CO₂

Solution Basics

1 hectare of forest protected

tCO2-eq/unit/yr
1.49
units
Current 9.36×10⁸1.12×10⁹1.58×10⁹
Achievable (Low to High)

Climate Impact

GtCO2-eq/yr
Current 1.39 1.672.35
US$ per tCO2-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 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. 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 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. 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

Geographic Guidance 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 don’t 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 don’t 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

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.

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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 (EPA), 2024a].

Food security,Health
Air quality
Overview

CMM is released from coal mines before, during, and after active coal mining and from coal being transported (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: 

  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.

References

Assan, S., & Whittle, E. (2023). In the dark: Underreporting of coal mine methane is a major climate risk. Ember. 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. 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. 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. 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. 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. 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. https://doi.org/10.3390/en17102396 

Global Energy Monitor (n.d.). Global coal mine tracker. Retrieved February 27, 2025 from https://globalenergymonitor.org/projects/global-coal-mine-tracker/ 

Global Methane Initiative. (2015). Coal mine methane country profiles. https://www.globalmethane.org/documents/toolsres_coal_overview_fullreport.pdf 

Global Methane Initiative (2018). Expert dialogue on ventilation air methane (VAM). 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. https://www.epa.gov/system/files/documents/2024-12/epa430r24009-fy23-accomplishments-report.pdf 

Global Methane Initiative (2024b). International coal mine methane project list. 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. 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 https://www.ipcc.ch/report/ar6/syr/ 

International Energy Agency. (2021). Global methane tracker 2021: Methane abatement and regulation. 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. 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. 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. https://www.iea.org/reports/the-imperative-of-cutting-methane-from-fossil-fuels 

International Energy Agency. (2023d). Global methane tracker 2023: Overview. https://www.iea.org/reports/global-methane-tracker-2023/overview 

International Energy Agency. (2024a). Global methane tracker documentation 2024 version. https://iea.blob.core.windows.net/assets/d42fc095-f706-422a-9008-6b9e4e1ee616/GlobalMethaneTracker_Documentation.pdf 

International Energy Agency. (2024b). Methane tracker: Data tools. https://www.iea.org/data-and-statistics/data-tools/methane-tracker 

International Energy Agency. (2024c). World energy outlook 2024. https://www.iea.org/reports/world-energy-outlook-2024 

International Energy Agency. (2025). Global methane tracker documentation 2025 version. 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. 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 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). 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. https://doi.org/10.1016/j.envsci.2022.03.027 

MethaneSAT. (2024). Solving a crucial climate challenge. Retrieved September 2, 2024 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. 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). 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. 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. 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. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4298409

Rystad Energy. (2023, October 18). Methane tracking technologies study [PowerPoint slides]. Environmental Defense Fund. 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. https://doi.org/10.1007/s10640-022-00750-6 

Setiawan, D. & Wright, C. (2024). The risks of ignoring methane emissions in coal mining. Ember. 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. 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. 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). 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. 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. https://doi.org/10.1002/ese3.358

Tate, R. D., (2022). Bigger than oil or gas? Sizing up coal mine methane. Global Energy Monitor. 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. 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. 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. 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. 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. 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. https://www.epa.gov/cmop/about-coal-mine-methane 

U.S. Environmental Protection Agency (2024b). Coalbed methane outreach program accomplishments. https://www.epa.gov/cmop/coalbed-methane-outreach-program-accomplishments 

U.S. Environmental Protection Agency (2024c). GHGRP underground coal mines. Retrieved November 5, 2024. https://www.epa.gov/ghgreporting/ghgrp-underground-coal-mines 

U.S. Environmental Protection Agency (2024d). Sources of coal mine methane. Retrieved November 5, 2024. 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. 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. 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 Smith, Ph.D.

  • Paul West, Ph.D.

Effectiveness

Each 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 the methane is converted into CO₂ through burning the contribution to global climate change will still be less than if the methane 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 (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 gradual, emergency brake, or delayed.

Manage Coal Mine Methane 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

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 EPA (2022), and 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 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.), over 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 little 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 from 2016 to 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 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 almost 2.0 Mt of methane was emitted in 2023 by the United States coal industry, 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 (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

Air quality and health

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).

Food security 

Methane reacts with chemicals like VOCs to form tropospheric, or ground-level ozone (Fiore et al., 2002). Ground-level ozone has been linked to reduced crop growth and yields (Mills et al., 2018; Samperdo et al., 2023; Tai et al., 2021). Mitigating methane emissions from coal mines could improve food security by reducing ground-level ozone and its harmful impacts on agricultural productivity (Tai et al., 2014; Ramya et al., 2023)

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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

1 Mt of methane abated

tCO2-eq/unit
2.79×10⁷
units/yr
Current 0.592.834.4
Achievable (Low to High)

Climate Impact

GtCO2-eq/yr
Current 0.02 0.080.12
US$ per tCO2-eq
-3
Emergency Brake

CH₄

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
< 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 347 Mt of anthropogenic methane emissions in 2023. This is equivalent to 1,080 Mt CO2–eq based on a 100-year 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 https://climatetrace.org

International Energy Agency. (2024). Methane tracker: Data tools. https://www.iea.org/data-and-statistics/data-tools/methane-tracker

Mt CO2–eq
< 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 347 Mt of anthropogenic methane emissions in 2023. This is equivalent to 1,080 Mt CO2–eq based on a 100-year 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 https://climatetrace.org

International Energy Agency. (2024). Methane tracker: Data tools. https://www.iea.org/data-and-statistics/data-tools/methane-tracker

Geographic Guidance 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
  • Utilize 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 R&D to improve extraction, capture, storage, transportation, and utilization technologies.
  • Join, support, or create public initiatives such as the Global Methane Initiative, Global Methane Pledge, or Global Methane Hub.
  • Utilize educational resources to industry leaders, including potential reduction options, 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:

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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