This article presents a method for identifying the socio-economic determinants of transformations in agroforestry systems (AFS). It is based on the analysis of diachronic data collected on three levels: country, region and farm. It offers a new method of spatio-temporal triangulation, making it possible to identify and classify the main socio-economic determinants of these transformations. It proposes an evaluation grid based on seven categories of socio-economic determinants. These inputs are then used to produce models, which explain the logic of the transformations in AFS and the socio-economic determinants involved. Examples of Cameroonian cocoa-based agroforestry systems serve to illustrate the main steps and modalities for using this method and the results it can provide.
DOI:
https://doi.org/10.1007/s10457-022-00762-7Altmetric score:
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Publication year
2023
Authors
Pédelahore, P.; Bidou, J.; Droy, I.; Freguin-Gresh, S.; Le Coq, J.; Sibelet, N.
Language
English
Keywords
socioeconomics, agroforestry systems, cocoa, spatial data
Geographic
Cameroon
