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Replication Data for: Vulnerability of cocoa-based agroforestry systems to climate change in West Africa

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

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Title Replication Data for: Vulnerability of cocoa-based agroforestry systems to climate change in West Africa
 
Identifier https://doi.org/10.7910/DVN/JLQXXV
 
Creator Ariza Salamanca, Antonio Jesús
 
Publisher Harvard Dataverse
 
Description Previous research indicates that some important cocoa cultivated areas in West Africa will become unsuitable for growing cocoa in the next decades. However, it is not clear if this change will be mirrored by the shade tree species that could be used in cocoa-based agroforestry systems (C-AFS). We characterized current and future patterns of habitat suitability for 38 tree species (including cocoa), using a consensus method for species distribution modelling (SDM) considering for the first time climatic and soil variables. The models projected an increase of up to 6% of the potential suitable area for cocoa by 2060 compared to its current suitable area in West Africa. Furthermore, the suitable area was highly reduced once considering only available land-use not contributing to deforestation. Regarding shade trees, the distribution range of 49% of the shade tree species will become unsuitable by 2040 in West Africa, and 60% by 2060. Hotspots of species richness overlap the current core cocoa production areas in Ghana and Côte d’Ivoire, suggesting a potential mismatch for the outer areas in West Africa. Our results highlight the importance of transforming cocoa-based agroforestry systems by changing shade tree species composition to adapt this production systems for future climate conditions. For the full project replication workflow please visit our GitHub repository (https://github.com/Ariza123/WP5_C-AFSsuitability).
 
Subject Agricultural Sciences
Earth and Environmental Sciences
Engineering
Other
HABITAT SUITABILITY
SPECIES RICHNESS
CLIMATE CHANGE ADAPTATION
SPECIES DISTRIBUTION MODELS
SHADE MANAGEMENT
 
Contributor Ariza Salamanca, Antonio Jesús