MARATTO

dataset · Zenodo (CERN European Organization for Nuclear Research)

Raw survey and floristic inventory data on cocoa-based agroforestry systems in Côte d'Ivoire (three cocoa-growing "loops", 2013-2016): anonymized version

In plain language

This dataset provides raw socio-economic survey and floristic inventory records gathered from 474 cocoa farms across 103 villages in Côte d'Ivoire. Collected between 2013 and 2016 within three historical cocoa-producing regions, the information supports ecological evaluations, diversity analyses, and statistical modelling of agroforestry systems. The records are organised into four components: an agronomic and socio-economic questionnaire detailing 34 variables per farmer, an inventory of associated tree species grouped by locality, a taxonomic master reference list, and plot-level structural measurements covering vertical stratification. The records have been anonymised by substituting farmer names with unique code identifiers, leaving all other observational variables unchanged to support subsequent agroforestry research.

Key takeaways

  • The dataset details socio-economic and floristic measurements gathered from 474 cocoa farms across 103 villages in Côte d'Ivoire.
  • Data collection spanned three historical cocoa-producing regions between 2013 and 2016.
  • Information is organised across farmer questionnaires, associated tree inventories, taxonomic lists, and stratified plot structures.
  • Farmer identities are protected through anonymised identifiers without altering the remaining survey variables.

Why it matters

Cocoa agroforestry systems combine crop cultivation with forest tree diversity, influencing both rural livelihoods and regional ecosystems. Providing structured, farm-level baseline data across multiple growing zones enables analysts and organisations to examine tree diversity, vegetation structure, and agricultural practices across the world's leading cocoa-producing nation.

Commercialisation angle

The abstract does not indicate an application pathway.

AI-generated from the published abstract. Always read the original work before citing.

Abstract

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.

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.5281/zenodo.22016382

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