TY - JOUR
T1 - Climate-crop models to support opportunity crop adaptation in Africa
AU - Yang, Meijian
AU - Guarin, Jose Rafael
AU - Freduah, Bright S.
AU - Wesley, Gershom O.
AU - MacCarthy, Dilys S.
AU - Narh, Stephen
AU - Castellano, Andres
AU - Jägermeyr, Jonas
AU - Karl, Kevin
AU - Mendez Leal, Elena
AU - Asseng, Senthold
AU - Zhao, Chuang
AU - Ruane, Alex C.
AU - Rosenzweig, Cynthia E.
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - In an era marked by climatic uncertainties and burgeoning food security challenges, climate-crop models emerge as important tools for guiding investments in climate-resilient agriculture. Here, we construct climate-crop model applications for 24 crops spanning the African food basket, including cereals, legumes, oilseeds, roots/tubers, and vegetables, in support of the Vision for Adapted Crops & Soils (VACS) program. Notably, we expand the modeling framework for 19 “opportunity” crops that have hitherto been underrepresented or overlooked but hold potential to bolster agricultural resilience across the continent. We calibrate and parameterize our process-based models using field observations and comprehensive literature reviews. We evaluate the model outputs spatially and temporally against national crop statistics across Africa, showing acceptable reproduction of yields and response to reported extreme droughts and heat waves. This work offers a scalable framework for climate-crop modeling and impact assessments related to food security in Africa and beyond.
AB - In an era marked by climatic uncertainties and burgeoning food security challenges, climate-crop models emerge as important tools for guiding investments in climate-resilient agriculture. Here, we construct climate-crop model applications for 24 crops spanning the African food basket, including cereals, legumes, oilseeds, roots/tubers, and vegetables, in support of the Vision for Adapted Crops & Soils (VACS) program. Notably, we expand the modeling framework for 19 “opportunity” crops that have hitherto been underrepresented or overlooked but hold potential to bolster agricultural resilience across the continent. We calibrate and parameterize our process-based models using field observations and comprehensive literature reviews. We evaluate the model outputs spatially and temporally against national crop statistics across Africa, showing acceptable reproduction of yields and response to reported extreme droughts and heat waves. This work offers a scalable framework for climate-crop modeling and impact assessments related to food security in Africa and beyond.
UR - https://www.scopus.com/pages/publications/105025172607
U2 - 10.1038/s41467-025-66180-2
DO - 10.1038/s41467-025-66180-2
M3 - Article
C2 - 41408038
AN - SCOPUS:105025172607
SN - 2041-1723
VL - 16
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 11186
ER -