Author
Listed:
- Nikolay Khabarov
(Exploratory Modeling of Human-Natural Systems Research Group (EM), Advancing Systems Analysis Program (ASA), International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria)
- Christian Folberth
(Agriculture, Forestry, and Ecosystem Services Research Group (AFE), Biodiversity and Natural Resources Program (BNR), International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria)
- Soeren Lindner
(Exploratory Modeling of Human-Natural Systems Research Group (EM), Advancing Systems Analysis Program (ASA), International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria)
- Rastislav Skalský
(Agriculture, Forestry, and Ecosystem Services Research Group (AFE), Biodiversity and Natural Resources Program (BNR), International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria)
- Charlotte E. Gonzalez-Abraham
(Exploratory Modeling of Human-Natural Systems Research Group (EM), Advancing Systems Analysis Program (ASA), International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria)
- Valeria Javalera-Rincón
(Exploratory Modeling of Human-Natural Systems Research Group (EM), Advancing Systems Analysis Program (ASA), International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria)
Abstract
Shaded Arabica coffee production in agroforestry systems, as opposed to full-sun production, is a nature-based solution improving soil water balance, reducing heat exposure of coffee plants, and supporting sustainable forest management as opposed to deforestation. For this coffee production system in Mexico, which is dominated by smallholders as the largest group of coffee producers, we herein analyze current and estimate future yields. For the first time, to our best knowledge, this is done with a process-based coffee agroforestry model CAF2014 that we adapted for geo-spatial applications and named CAF2014-Rhaobi. Modeling of smallholders’ representative management is based on tree thinning, pruning frequency, and nitrogen supply through fertilizer and litter from nitrogen-fixing shade trees. Modeled historical yields generally agree with the reported numbers; however, there are discrepancies explained by modeling assumptions and simplifications. While shade trees help sustain coffee production, the projected drop in yields under present management is about 30% at the end of the century compared to the present as estimated using an ensemble of CMIP6 SSP5-8.5 climate projections. Economic analysis for three typologies of Mexican small coffee producers (conventional low, high-efficiency, and organic) reveals the major role of farmer associations and organic coffee price premiums in making production economically sustainable. This emphasizes the need for innovative marketing approaches and policies supporting farmers opting for certified production.
Suggested Citation
Nikolay Khabarov & Christian Folberth & Soeren Lindner & Rastislav Skalský & Charlotte E. Gonzalez-Abraham & Valeria Javalera-Rincón, 2026.
"Modeling Climate Impacts on Agroforestry-Based Coffee Production of Smallholder Farmers in Mexico,"
Sustainability, MDPI, vol. 18(13), pages 1-17, June.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:13:p:6544-:d:1977171
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