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APA citation
Sapkota, T. B., Dittmer, K. M., Ortiz-Monasterio, I., Mathivanan, G. P., Sonder, K., Leyva, J. C., García, M. A., Monroy, D. Y., Shelton, S., & Wollenberg, E. K. (2022). Quantification of economically feasible mitigation potential from agriculture, forestry and other land uses in Mexico. Carbon Management, 13(1), 594–607. https://doi.org/10.1080/17583004.2022.2151939
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Abstract
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Countries often lack methods for rapidly, but robustly determining greenhouse gas (GHG) mitigation actions and their impacts comprehensively in the land use sector to support commitments to the Paris Agreement. We present rapid assessment methods based on easily available spatial data and adoption costs for mitigation related to crops, livestock and forestry to identify priority locations and actions. Applying the methods for the case of Mexico, we found a national mitigation potential of 87.88 million tons (Mt) CO2eq yr−1, comprising 7.91, 7.66 and 72.31 Mt CO2eq yr−1 from crops, livestock and forestry/agro-forestry, respectively. At the state level, mitigation potentials were highest in Chiapas (13 Mt CO2eq) followed by Campeche (8 Mt CO2eq). Eleven states had a land use mitigation potential between 2.5 to 6.5 Mt CO2eq, while other states had mitigation potentials of less than 2 Mt CO2eq. Mitigation options for crops and livestock could reduce 60% and 6% of the respective emissions. Mitigation options for forestry could reduce emissions by half. If properly implemented, mitigation potentials on cropland can be realized with net benefits, compared to livestock and forestry options, which involve net costs. The method supports science-based priority setting of mitigation actions by location and subsector and should help inform future policy and implementation of countries’ nationally determined contributions.
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Journal
Carbon Management
Journal volume
13
Journal issue
1
Article number
Place of Publication
United Kingdom
Publisher
Taylor and Francis
Donor or Funder
United States Department of Agriculture (USDA)
CGIAR Trust Fund
United States Agency for International Development (USAID)
CGIAR Trust Fund
United States Agency for International Development (USAID)
Related Datasets
CGIAR
Initiative
Low-Emission Food Systems Initiative
Impact Area
Climate adaptation & mitigation
Action Area
Systems Transformation