Ecosystem services from coffee agroforestry in Central America: estimation using the CAF2021 model

The goal of sustainable coffee production requires multiple functions from agroforestry systems. Many are difficult to quantify and data are lacking, hampering the choice of shade tree species and agronomic management. Process-based modelling may help quantify ecosystem services and disservices. We...

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Autores principales: Barrios Aguirre, Mirna, Cerda, Rolando, Virginio Filho, Elias de Melo, Ospina, Alejandra, y otros 5 autores más
Formato: Artículo
Lenguaje:Inglés
Publicado: Springer Nature 2022
Materias:
Acceso en línea:https://repositorio.catie.ac.cr/handle/11554/11873
https://doi.org/10.1007/s10457-022-00755-6
id RepoCATIE11873
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spelling RepoCATIE118732023-11-16T16:20:01Z Ecosystem services from coffee agroforestry in Central America: estimation using the CAF2021 model Barrios Aguirre, Mirna Cerda, Rolando Virginio Filho, Elias de Melo Ospina, Alejandra y otros 5 autores más SISTEMAS AGROFORESTALES AGROFORESTRY SYSTEMS COFFEA ARABICA SERVICIOS DE LOS ECOSISTEMAS ECOSYSTEM SERVICES APLICACION DE ABONOS FERTILIZER APPLICATIO FERTILIZACION FERTILISATION PROCESS- BASED MODELLING SHADING Sede Central The goal of sustainable coffee production requires multiple functions from agroforestry systems. Many are difficult to quantify and data are lacking, hampering the choice of shade tree species and agronomic management. Process-based modelling may help quantify ecosystem services and disservices. We introduce and apply coffee agroforestry model CAF2021. The model allows for complex systems with up to three shade tree species. It simulates coffee yield, timber and fruit production by shade trees, soil loss in erosion, C-sequestration, N-fixation, -emission and -leaching. To calibrate the model, we used multivariate data from 32 different treatments applied in two long-term coffee agroforestry experiments in Costa Rica and Nicaragua. Without any further calibration, the model was then applied to agroforestry systems on 89 farms in Costa Rica and 79 in Guatemala where yields had been reported previously in farmer interviews. Despite wide variation in environmental and agronomic conditions, the model explained 36% of yield variation in Costa Rica but only 15% in Guatemala. Model analysis quantified trade-offs between yield and other ecosystem services as a function of fertilisation and shading. 2022-07-27T16:53:47Z 2022-07-27T16:53:47Z 2022 Artículo https://repositorio.catie.ac.cr/handle/11554/11873 https://doi.org/10.1007/s10457-022-00755-6 openAccess en Agroforestry Systems 13 páginas application/pdf Springer Nature
institution Centro Agronómico Tropical de Investigación y Enseñanza
collection Repositorio CATIE
language Inglés
topic SISTEMAS AGROFORESTALES
AGROFORESTRY SYSTEMS
COFFEA ARABICA
SERVICIOS DE LOS ECOSISTEMAS
ECOSYSTEM SERVICES
APLICACION DE ABONOS
FERTILIZER APPLICATIO
FERTILIZACION
FERTILISATION
PROCESS- BASED MODELLING
SHADING
Sede Central
spellingShingle SISTEMAS AGROFORESTALES
AGROFORESTRY SYSTEMS
COFFEA ARABICA
SERVICIOS DE LOS ECOSISTEMAS
ECOSYSTEM SERVICES
APLICACION DE ABONOS
FERTILIZER APPLICATIO
FERTILIZACION
FERTILISATION
PROCESS- BASED MODELLING
SHADING
Sede Central
Barrios Aguirre, Mirna
Cerda, Rolando
Virginio Filho, Elias de Melo
Ospina, Alejandra
y otros 5 autores más
Ecosystem services from coffee agroforestry in Central America: estimation using the CAF2021 model
description The goal of sustainable coffee production requires multiple functions from agroforestry systems. Many are difficult to quantify and data are lacking, hampering the choice of shade tree species and agronomic management. Process-based modelling may help quantify ecosystem services and disservices. We introduce and apply coffee agroforestry model CAF2021. The model allows for complex systems with up to three shade tree species. It simulates coffee yield, timber and fruit production by shade trees, soil loss in erosion, C-sequestration, N-fixation, -emission and -leaching. To calibrate the model, we used multivariate data from 32 different treatments applied in two long-term coffee agroforestry experiments in Costa Rica and Nicaragua. Without any further calibration, the model was then applied to agroforestry systems on 89 farms in Costa Rica and 79 in Guatemala where yields had been reported previously in farmer interviews. Despite wide variation in environmental and agronomic conditions, the model explained 36% of yield variation in Costa Rica but only 15% in Guatemala. Model analysis quantified trade-offs between yield and other ecosystem services as a function of fertilisation and shading.
format Artículo
author Barrios Aguirre, Mirna
Cerda, Rolando
Virginio Filho, Elias de Melo
Ospina, Alejandra
y otros 5 autores más
author_facet Barrios Aguirre, Mirna
Cerda, Rolando
Virginio Filho, Elias de Melo
Ospina, Alejandra
y otros 5 autores más
author_sort Barrios Aguirre, Mirna
title Ecosystem services from coffee agroforestry in Central America: estimation using the CAF2021 model
title_short Ecosystem services from coffee agroforestry in Central America: estimation using the CAF2021 model
title_full Ecosystem services from coffee agroforestry in Central America: estimation using the CAF2021 model
title_fullStr Ecosystem services from coffee agroforestry in Central America: estimation using the CAF2021 model
title_full_unstemmed Ecosystem services from coffee agroforestry in Central America: estimation using the CAF2021 model
title_sort ecosystem services from coffee agroforestry in central america: estimation using the caf2021 model
publisher Springer Nature
publishDate 2022
url https://repositorio.catie.ac.cr/handle/11554/11873
https://doi.org/10.1007/s10457-022-00755-6
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AT ospinaalejandra ecosystemservicesfromcoffeeagroforestryincentralamericaestimationusingthecaf2021model
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