Replication Data for: From site-level to regional adaptation planning for tropical commodities: cocoa in West Africadoi:10.7910/DVN/1JMXC6Harvard Dataverse2016-03-231Schroth, Götz; Läderach, Peter; Martinez Valle, Armando; Bunn, Christian, 2016, "Replication Data for: From site-level to regional adaptation planning for tropical commodities: cocoa in West Africa", https://doi.org/10.7910/DVN/1JMXC6, Harvard Dataverse, V1Replication Data for: From site-level to regional adaptation planning for tropical commodities: cocoa in West Africadoi:10.7910/DVN/1JMXC6Schroth, GötzLäderach, PeterMartinez Valle, ArmandoBunn, ChristianInternational Center for Tropical AgricultureHarvard DataverseInternational Center for Tropical AgricultureCIAT Data and Research MethodsMartinez Valle, Armando2016-03-15Agricultural SciencesEarth and Environmental SciencesAtmospheric SciencesClimate change adaptationEnvironmental managementLatin America and the CaribbeanDecision and Policy Analysis - DAPAClimate change adaptationWe 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 pose20122015West AfricaGeospatial DataClimate DataGIS DataTiff filesShapefilesWhilst utmost care has been taken CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.<a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.Schroth, G., Läderach, P., Martinez-Valle, A. and Bunn, C. 2016. “From site-level to regional adaptation planning for tropical commodities: cocoa in West Africa”. Mitigation and Adaptation Strategies for Global Change (Springer).10.1007/s11027-016-9707-ySchroth, G., Läderach, P., Martinez-Valle, A. and Bunn, C. 2016. “From site-level to regional adaptation planning for tropical commodities: cocoa in West Africa”. Mitigation and Adaptation Strategies for Global Change (Springer).01. CURRENT_SUITABILITY.ZIPCurrent climatic suitability for cocoa in West Africa.application/zip02. 2030S_SUITABILITY.ZIP2030s [2020 – 2049] climatic suitability for cocoaapplication/zip03. 2050S_SUITABILITY.ZIP2050s [2040 – 2069] climatic suitability for cocoaapplication/zip04. CHG_2030S.ZIPChanges in suitability for 2030s application/zip05. CHG_2050S.ZIPChanges in suitability for 2050sapplication/zip06. LOWEST_QUAR_2030S.ZIPFirst quartile of relative climatic suitability projection for cocoa of 15 GCMs (Global Circulation Models) as modelled with MaxEntapplication/zip07. HIGHEST_QUAR_2030S.ZIPThird quartile of relative climatic suitability projection for cocoa of 15 GCMs as modelled with MaxEntapplication/zip08. LOWEST_QUAR_2050S.ZIPFirst quartile of relative climatic suitability projection for cocoa of 19 GCMs as modelled with MaxEntapplication/zip09. HIGHEST_QUAR_2050S.ZIPThird quartile of relative climatic suitability projection for cocoa of 19 GCMs as modelled with MaxEntapplication/zip10. CHG_2030S_LOWQUART.ZIPPessimistic (1st quartile) climate change scenario and corresponding suitability changes relative to the current climate. 15 GCMs.application/zip11. CHG_2030S_HIGHQUART.ZIPOptimistic (3rd quartile) climate change scenario and corresponding suitability changes relative to the current climate. 15 GCMs.application/zip12. CHG_2050S_LOWQUART.ZIPPessimistic (1st quartile) climate change scenario and corresponding suitability changes relative to the current climate. 19 GCMs.application/zip13. CHG_2050S_HIGHQUART.ZIPOptimistic (3rd quartile) climate change scenario and corresponding suitability changes relative to the current climate. 19 GCMs.application/zip14. cocoa_area_westafrica.zipDistribution area for cocoaapplication/zipped-shapefile