Disentangling farmers' preferences for conditional incentives to upscale biodiversity-friendly agroforestry in the Amazon

Although agroforestry is a promising approach to reconcile biodiversity conservation and local development, uptake has proven challenging, justifying the introduction of incentives to promote adoption. We firstly conducted a discrete choice experiment (DCE) over a sample comprised by 223 cacao farme...

Descripción completa

Detalles Bibliográficos
Autores principales: Montoya-Zumaeta, Javier G, Fiestas-Flores, Jerico, Gutiérrez, Lech J., Rojas, Eduardo, Orozco Aguilar, Luis, Ladd, Brenton
Formato: Artículo
Lenguaje:Inglés
Publicado: 2026
Materias:
Acceso en línea:https://repositorio.catie.ac.cr/handle/11554/14226
_version_ 1855416884942340096
author Montoya-Zumaeta, Javier G
Fiestas-Flores, Jerico
Gutiérrez, Lech J.
Rojas, Eduardo
Orozco Aguilar, Luis
Ladd, Brenton
author_browse Fiestas-Flores, Jerico
Gutiérrez, Lech J.
Ladd, Brenton
Montoya-Zumaeta, Javier G
Orozco Aguilar, Luis
Rojas, Eduardo
author_facet Montoya-Zumaeta, Javier G
Fiestas-Flores, Jerico
Gutiérrez, Lech J.
Rojas, Eduardo
Orozco Aguilar, Luis
Ladd, Brenton
author_sort Montoya-Zumaeta, Javier G
collection Repositorio CATIE
description Although agroforestry is a promising approach to reconcile biodiversity conservation and local development, uptake has proven challenging, justifying the introduction of incentives to promote adoption. We firstly conducted a discrete choice experiment (DCE) over a sample comprised by 223 cacao farmers from the province Padre Abad in the Peruvian Amazon to gain insights into their preferences for four attributes of a proposed biodiversity-oriented agroforestry- Payment for Ecosystem Services (PES) scheme: (1) requirement for tree canopy cover in enrolled plots, (2) modalities for a biodiversity connectivity bonus, (3) farmers' participation in monitoring, and (4) the compensatory cash amount. Although we found that a PES scheme would have a wide acceptance among eligible farmers, their preferences are highly heterogeneous regarding assessed attributes. For disentangling such differences, we perform a latent class (LC) model and identify three farmer classes: first, the larger one (56% of the sample) comprised by farmers that are more likely to enroll in the proposed PES as the cash compensation for accepting both high required canopy level and collective bonus rises, and they are allowed to participate in monitoring tasks. Meanwhile, preferences of the second group (34% of the sample) seemed to be less sensitive to changes in levels of the assessed PES attributes. Finally, the third farmers group (10% of the sample) features, in average, a willingness to accept (WTA) lower than the first farmers group for required high canopy level and a larger preference for individual rather than collective connectivity bonus. These findings highlight the necessity of tailoring incentives to address differentiated farmer preferences for increasing scheme effectiveness and equity.
format Artículo
id RepoCATIE14226
institution Centro Agronómico Tropical de Investigación y Enseñanza
language Inglés
publishDate 2026
publishDateRange 2026
publishDateSort 2026
record_format dspace
spelling RepoCATIE142262026-01-23T00:55:40Z Disentangling farmers' preferences for conditional incentives to upscale biodiversity-friendly agroforestry in the Amazon Montoya-Zumaeta, Javier G Fiestas-Flores, Jerico Gutiérrez, Lech J. Rojas, Eduardo Orozco Aguilar, Luis Ladd, Brenton Theobroma cacao||Theobroma cacao||Theobroma cacao||Theobroma cacao Agriculture Cacao Stated preferences methods Biodiversity offsets Trade-off Canopy level Choice experiment Latent class model Sede Central ODS 15 - Vida de ecosistemas terrestres Although agroforestry is a promising approach to reconcile biodiversity conservation and local development, uptake has proven challenging, justifying the introduction of incentives to promote adoption. We firstly conducted a discrete choice experiment (DCE) over a sample comprised by 223 cacao farmers from the province Padre Abad in the Peruvian Amazon to gain insights into their preferences for four attributes of a proposed biodiversity-oriented agroforestry- Payment for Ecosystem Services (PES) scheme: (1) requirement for tree canopy cover in enrolled plots, (2) modalities for a biodiversity connectivity bonus, (3) farmers' participation in monitoring, and (4) the compensatory cash amount. Although we found that a PES scheme would have a wide acceptance among eligible farmers, their preferences are highly heterogeneous regarding assessed attributes. For disentangling such differences, we perform a latent class (LC) model and identify three farmer classes: first, the larger one (56% of the sample) comprised by farmers that are more likely to enroll in the proposed PES as the cash compensation for accepting both high required canopy level and collective bonus rises, and they are allowed to participate in monitoring tasks. Meanwhile, preferences of the second group (34% of the sample) seemed to be less sensitive to changes in levels of the assessed PES attributes. Finally, the third farmers group (10% of the sample) features, in average, a willingness to accept (WTA) lower than the first farmers group for required high canopy level and a larger preference for individual rather than collective connectivity bonus. These findings highlight the necessity of tailoring incentives to address differentiated farmer preferences for increasing scheme effectiveness and equity. 2026-01-21T21:53:01Z 2026-01-21T21:53:01Z 2026-01-20 Artículo https://repositorio.catie.ac.cr/handle/11554/14226 openAccess en Frontiers in Sustainable Food Systems https://doi.org/10.3389/fsufs.2025.1645422 14 páginas application/pdf
spellingShingle Theobroma cacao||Theobroma cacao||Theobroma cacao||Theobroma cacao
Agriculture
Cacao
Stated preferences methods
Biodiversity offsets
Trade-off
Canopy level
Choice experiment
Latent class model
Sede Central
ODS 15 - Vida de ecosistemas terrestres
Montoya-Zumaeta, Javier G
Fiestas-Flores, Jerico
Gutiérrez, Lech J.
Rojas, Eduardo
Orozco Aguilar, Luis
Ladd, Brenton
Disentangling farmers' preferences for conditional incentives to upscale biodiversity-friendly agroforestry in the Amazon
title Disentangling farmers' preferences for conditional incentives to upscale biodiversity-friendly agroforestry in the Amazon
title_full Disentangling farmers' preferences for conditional incentives to upscale biodiversity-friendly agroforestry in the Amazon
title_fullStr Disentangling farmers' preferences for conditional incentives to upscale biodiversity-friendly agroforestry in the Amazon
title_full_unstemmed Disentangling farmers' preferences for conditional incentives to upscale biodiversity-friendly agroforestry in the Amazon
title_short Disentangling farmers' preferences for conditional incentives to upscale biodiversity-friendly agroforestry in the Amazon
title_sort disentangling farmers preferences for conditional incentives to upscale biodiversity friendly agroforestry in the amazon
topic Theobroma cacao||Theobroma cacao||Theobroma cacao||Theobroma cacao
Agriculture
Cacao
Stated preferences methods
Biodiversity offsets
Trade-off
Canopy level
Choice experiment
Latent class model
Sede Central
ODS 15 - Vida de ecosistemas terrestres
url https://repositorio.catie.ac.cr/handle/11554/14226
work_keys_str_mv AT montoyazumaetajavierg disentanglingfarmerspreferencesforconditionalincentivestoupscalebiodiversityfriendlyagroforestryintheamazon
AT fiestasfloresjerico disentanglingfarmerspreferencesforconditionalincentivestoupscalebiodiversityfriendlyagroforestryintheamazon
AT gutierrezlechj disentanglingfarmerspreferencesforconditionalincentivestoupscalebiodiversityfriendlyagroforestryintheamazon
AT rojaseduardo disentanglingfarmerspreferencesforconditionalincentivestoupscalebiodiversityfriendlyagroforestryintheamazon
AT orozcoaguilarluis disentanglingfarmerspreferencesforconditionalincentivestoupscalebiodiversityfriendlyagroforestryintheamazon
AT laddbrenton disentanglingfarmerspreferencesforconditionalincentivestoupscalebiodiversityfriendlyagroforestryintheamazon