dataset · Zenodo (CERN European Organization for Nuclear Research)
This dataset provides socio-economic and floristic survey data collected from 474 cocoa farms across 103 villages and hamlets in Côte d'Ivoire between 2013 and 2016. Covering the three historical cocoa-producing regions of the country, specifically the East and South-East, Centre and Centre-West, and South and South-West loops, the records support statistical and ecological analyses of cocoa-based agroforestry systems. The information is structured into four main sheets detailing agronomic practices, socio-economic variables across 34 parameters, inventories of associated tree species, taxonomic reference lists, and structural plot measurements that include vertical stratification. To protect personal identities, the names of 451 participating farmers have been anonymised using coded identifiers, leaving all other recorded variables unaltered. The dataset serves as a primary foundation for assessing diversity, farm structure, and farming systems across the surveyed landscapes.
Understanding the composition and management of cocoa-based agroforestry systems requires detailed baseline field data. By combining socio-economic surveys with floristic inventories across historical cocoa regions in Côte d'Ivoire, this dataset offers empirical records for examining farmer practices, tree diversity, and farm vegetation structures, providing an accessible resource for researchers investigating agricultural sustainability and land management.
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Raw socio-economic survey and floristic inventory data from 474 cocoa farms across 103 villages and hamlets in the three historical cocoa-producing zones of Côte d'Ivoire (the East/South-East, Centre/Centre-West, and South/South-West "loops"), collected between 2013 and 2016 as part of Adji et al.'s (2016) Master's thesis fieldwork. This dataset underpins an ecological and statistical reanalysis (Hill diversity numbers, PERMANOVA, data-driven hierarchical typology, linear mixed models). The workbook contains 4 sheets: (1) a socio-economic and agronomic questionnaire per farmer (34 variables); (2) a floristic inventory of associated tree species by locality; (3) a master species list used as a taxonomic reference; (4) a structural plot-level inventory with vertical stratification. Full column-by-column documentation is provided in the accompanying README.md. Anonymization: the real names of the 451 surveyed farmers were replaced with coded identifiers (PL-001 to PL-451) prior to deposit, to protect their identity. No other variable was altered. See README.md for details of the procedure and its limitations.
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DOI: 10.5281/zenodo.22016383
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