<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.7910/DVN/5W7LGW</identifier><creators><creator><creatorName nameType="Personal">Schroth, Götz</creatorName><givenName>Götz</givenName><familyName>Schroth</familyName></creator><creator><creatorName nameType="Personal">Läderach, Peter</creatorName><givenName>Peter</givenName><familyName>Läderach</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0001-8708-6318</nameIdentifier><affiliation>International Center for Tropical Agriculture - CIAT</affiliation></creator><creator><creatorName nameType="Personal">Martinez Valle, Armando</creatorName><givenName>Armando</givenName><familyName>Martinez Valle</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0001-9718-5520</nameIdentifier><affiliation>International Center for Tropical Agriculture - CIAT</affiliation></creator><creator><creatorName nameType="Personal">Bunn, Christian</creatorName><givenName>Christian</givenName><familyName>Bunn</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0003-2175-8745</nameIdentifier><affiliation>International Center for Tropical Agriculture - CIAT</affiliation></creator><creator><creatorName nameType="Personal">Jassogne, Laurence</creatorName><givenName>Laurence</givenName><familyName>Jassogne</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0002-2106-5001</nameIdentifier><affiliation>International Institute of Tropical Agriculture - IITA</affiliation></creator></creators><titles><title>Replication Data for: Vulnerability to climate change of cocoa in West Africa: Patterns, opportunities and limits to adaptation</title></titles><publisher>Harvard Dataverse</publisher><publicationYear>2016</publicationYear><subjects><subject>Agricultural Sciences</subject><subject>Earth and Environmental Sciences</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_1374567058134" subjectScheme="AGROVOC">Climate change adaptation</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_29553" subjectScheme="AGROVOC">Climatic data</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_15590" subjectScheme="AGROVOC">Deforestation</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_24993" subjectScheme="AGROVOC">Drought stress</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_7713" subjectScheme="AGROVOC">Theobroma cacao</subject><subject subjectScheme="CIAT Region">Latin America and the Caribbean</subject><subject subjectScheme="CIAT Research Area">Decision and Policy Analysis - DAPA</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_1374567058134" subjectScheme="AGROVOC">Climate change adaptation</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Organizational">CIAT Data and Research Methods</contributorName><affiliation>International Center for Tropical Agriculture - CIAT</affiliation></contributor><contributor contributorType="Producer"><contributorName nameType="Organizational">International Center for Tropical Agriculture</contributorName></contributor><contributor contributorType="Distributor"><contributorName nameType="Organizational">International Center for Tropical Agriculture</contributorName></contributor></contributors><dates><date dateType="Submitted">2016-03-17</date><date dateType="Updated">2019-07-08</date><date dateType="Collected">2012/2015</date></dates><resourceType resourceTypeGeneral="Dataset">Geospatial Data</resourceType><relatedIdentifiers><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">10.1016/j.scitotenv.2016.03.024</relatedIdentifier></relatedIdentifiers><sizes><size>10214473</size><size>10400998</size><size>4354191</size><size>1726943</size><size>3789154</size><size>3568267</size><size>6925571</size><size>99858</size><size>554842</size><size>9665766</size><size>5134864</size><size>4294141</size><size>525165</size></sizes><formats><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format></formats><version>1.6</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights/></rightsList><descriptions><description descriptionType="Abstract">We use a combination of a statistical model of climatic suitability (Maxent) and the analysis of individual, potentially limiting climate variables. We find that: 1) contrary to expectation, maximum dry season temperatures are projected to become as or more limiting for cocoa as dry season water availability; 2) to reduce the vulnerability of cocoa to excessive dry season temperatures, the systematic use of adaptation strategies like shade trees in cocoa farms will be necessary, in reversal of the current trend of shade reduction; 3) there is a strong differentiation of climate vulnerability within the cocoa belt, with the most vulnerable areas near the forest-savanna transition in Nigeria and eastern Côte d'Ivoire, and the least vulnerable areas in the southern parts of Cameroon, Ghana, Côte d'Ivoire and Liberia; 4) this spatial differentiation of climate vulnerability may lead to future shifts in cocoa production within the region, with the opportunity of partially compensating losses and gains, but also the risk of local production expansion leading to new deforestation.</description></descriptions><geoLocations/><fundingReferences><fundingReference><funderName>International Fund for Agricultural Development - IFAD</funderName></fundingReference><fundingReference><funderName>CGIAR Research Program on Climate Change, Agriculture and Food Security - CCAFS</funderName></fundingReference></fundingReferences></resource>