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Replication Data for: From site-level to regional adaptation planning for tropical commodities: cocoa in West Africa

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: From site-level to regional adaptation planning for tropical commodities: cocoa in West Africa
 
Identifier https://doi.org/10.7910/DVN/1JMXC6
 
Creator Schroth, Götz
Läderach, Peter
Martinez Valle, Armando
Bunn, Christian
 
Publisher Harvard Dataverse
 
Description We discuss here such a regional approach for cocoa in West Africa, where 70 % of global cocoa supply originates. On the basis of a statistical model of relative climatic suitability calibrated on West African cocoa farming areas and average climate projections for the 2030s and 2050s of, respectively, 15 and 19 Global Circulation Models, we divide the region into three adaptation zones: (i) a little affected zone permitting intensification and/or expansion of cocoa farming; (ii) a moderately affected zone requiring diversification and agronomic adjustments of farming practices; and (iii) a severely affected zone with need for progressive crop change. We argue that for tropical agricultural commodities, larger-scale adaptation planning that attempts to balance production trends across countries and regions could help reduce negative impacts of climate change on regional economies and global commodity supplies, despite the institutional challenges that this integration may pose
 
Subject Agricultural Sciences
Earth and Environmental Sciences
Atmospheric Sciences
Climate change adaptation
Environmental management
Latin America and the Caribbean
Decision and Policy Analysis - DAPA
 
Language English
 
Contributor Martinez Valle, Armando
 
Type Geospatial Data
Climate Data
GIS Data
Tiff files
Shapefiles