Anita Koralewicz, Jan Vlcek, Imma Oliveras Menor, Mark Hirons, Akinyemi Akinyugha, Olalekan Sikiru Olowoyo, Mercy Ajayi-Ebenezer, Oliver Owen
{"title":"Mapping the extent and exploring the drivers of cocoa agroforestry in Nigeria, insights into trends for climate change adaptation","authors":"Anita Koralewicz, Jan Vlcek, Imma Oliveras Menor, Mark Hirons, Akinyemi Akinyugha, Olalekan Sikiru Olowoyo, Mercy Ajayi-Ebenezer, Oliver Owen","doi":"10.1007/s10457-024-01126-z","DOIUrl":null,"url":null,"abstract":"<div><p>Climate change threatens West Africa’s cocoa sector due to rising temperatures and unpredictable rainfall, exacerbating concerns for environmental degradation and socio-economic challenges. In Nigeria, modernization efforts promoting full-sun cocoa have been linked to deforestation and biodiversity loss. The promotion of traditional cocoa agroforestry methods are regaining interest as an approach to climate adaptation and forest restoration. This case study on Ekiti State, Nigeria, aims to understand the physical extent to which full-sun and agroforestry cocoa practices have been employed, while exploring the complex and interlinked dynamics informing land use decision-making in the area. Remote sensing leveraging tasseled cap indices for Sentinel 2 data were used to delineate cocoa agroforestry from full-sun systems. Interviews with policymakers and local cocoa producers across 15 out of 16 local government areas were analyzed through thematic analysis and descriptive statistics. Agroforestry constituted 18% of Ekiti land while full-sun cocoa covered 13%. Thus, 57% of cocoa cover in Ekiti State was agroforestry. The classification had overall spatial differentiation accuracy of 73.1% with a kappa statistic of 68% indicating substantial agreement strength between the classification and the collected validation data. Interviews were similarly aligned, with 74% of respondents using agroforestry or mixed methods. The continued use, despite government promotion of full-sun methods, suggests limited policy uptake and the enduring value of agroforestry for farmers. This research can contribute to improved monitoring of cocoa-driven tree loss and provide important context for policy and program design to enhance climate change adaptation in similar cocoa producing regions.</p></div>","PeriodicalId":7610,"journal":{"name":"Agroforestry Systems","volume":"99 2","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10457-024-01126-z.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agroforestry Systems","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s10457-024-01126-z","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
Climate change threatens West Africa’s cocoa sector due to rising temperatures and unpredictable rainfall, exacerbating concerns for environmental degradation and socio-economic challenges. In Nigeria, modernization efforts promoting full-sun cocoa have been linked to deforestation and biodiversity loss. The promotion of traditional cocoa agroforestry methods are regaining interest as an approach to climate adaptation and forest restoration. This case study on Ekiti State, Nigeria, aims to understand the physical extent to which full-sun and agroforestry cocoa practices have been employed, while exploring the complex and interlinked dynamics informing land use decision-making in the area. Remote sensing leveraging tasseled cap indices for Sentinel 2 data were used to delineate cocoa agroforestry from full-sun systems. Interviews with policymakers and local cocoa producers across 15 out of 16 local government areas were analyzed through thematic analysis and descriptive statistics. Agroforestry constituted 18% of Ekiti land while full-sun cocoa covered 13%. Thus, 57% of cocoa cover in Ekiti State was agroforestry. The classification had overall spatial differentiation accuracy of 73.1% with a kappa statistic of 68% indicating substantial agreement strength between the classification and the collected validation data. Interviews were similarly aligned, with 74% of respondents using agroforestry or mixed methods. The continued use, despite government promotion of full-sun methods, suggests limited policy uptake and the enduring value of agroforestry for farmers. This research can contribute to improved monitoring of cocoa-driven tree loss and provide important context for policy and program design to enhance climate change adaptation in similar cocoa producing regions.
期刊介绍:
Agroforestry Systems is an international scientific journal that publishes results of novel, high impact original research, critical reviews and short communications on any aspect of agroforestry. The journal particularly encourages contributions that demonstrate the role of agroforestry in providing commodity as well non-commodity benefits such as ecosystem services. Papers dealing with both biophysical and socioeconomic aspects are welcome. These include results of investigations of a fundamental or applied nature dealing with integrated systems involving trees and crops and/or livestock. Manuscripts that are purely descriptive in nature or confirmatory in nature of well-established findings, and with limited international scope are discouraged. To be acceptable for publication, the information presented must be relevant to a context wider than the specific location where the study was undertaken, and provide new insight or make a significant contribution to the agroforestry knowledge base