A method to better identify the socio-economic determinants of transformations in agroforestry systems

被引：3

作者：

Pedelahore, Philippe ^{[1
,2
,3
]}

Bidou, Jean-Etienne ^{[4
]}

Droy, Isabelle ^{[5
]}

Freguin-Gresh, Sandrine ^{[3
,6
]}

Le Coq, Jean-Francois ^{[3
,6
]}

Sibelet, Nicole ^{[1
,3
]}

机构：

[1] CIRAD, UMR Innovat, F-34398 Montpellier, France

[2] ICRAF, SD1, POB 30677-00100, Nairobi, Kenya

[3] Univ Montpellier, Inst Agro, INRAE, CIRAD, Montpellier, France

[4] LAM, F-33607 Pessac, France

[5] IRD, UMI SOURCE, F-78280 Guyancourt, France

[6] Univ Perpignan Via Domitia, Univ Montpellier 3, CNRS, ART DEV,Univ Montpellier,CIRAD, Montpellier, France

来源：

AGROFORESTRY SYSTEMS | 2023年 / 97卷 / 03期

关键词：

Agroforestry systems; Spatial dynamics; Recomposition dynamics; Socioeconomic determinants; Transformations assessment; Cameroon; FARM; REGION; DRIVES;

D O I：

10.1007/s10457-022-00762-7

中图分类号：

S3 [农学（农艺学）];

学科分类号：

0901 ;

摘要：

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.

引用

页码：389 / 400

页数：12

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