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Agroforestry enhances biological activity, diversity and soil-based ecosystem functions in mountain agroecosystems of Latin America: A meta-analysis
Indexado
WoS WOS:001151213000050
Scopus SCOPUS_ID:85179371586
DOI 10.1111/GCB.17036
Año 2024
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Mountain agroecosystems in Latin America provide multiple ecosystem functions (EFs) and products from global to local scales, particularly for the rural communities who depend on them. Agroforestry has been proposed as a climate-smart farming strategy throughout much of the region to help conserve biodiversity and enhance multiple EFs, especially in mountainous regions. However, large-scale synthesis on the potential of agroforestry across Latin America is lacking. To understand the potential impacts of agroforestry at the continental level, we conducted a meta-analysis examining the effects of agroforestry on biological activity and diversity (BIAD) and multiple EFs across mountain agroecosystems of Latin America. A total of 78 studies were selected based on a formalized literature search in the Web of Science. We analysed differences between (i) silvoarable systems versus cropland, (ii) silvopastoral systems versus pastureland, and (iii) agroforestry versus forest systems, based on response ratios. Response ratios were further used to understand how climate type, precipitation and soil properties (texture) influence key EFs (carbon sequestration, nutrient provision, erosion control, yield production) and BIAD in agroforestry systems. Results revealed that BIAD and EFs related to carbon sequestration and nutrient provisioning were generally higher in agroforestry systems (silvopastoral and silvoarable) compared to croplands and pasturelands without trees. However, the impacts of agroforestry systems on crop yields varied depending on the system considered (i.e., coffee vs. cereals), while forest systems generally provided greater levels of BIAD and EFs than agroforestry systems. Further analysis demonstrated that the impacts of agroforestry systems on BIAD and EFs depend greatly on climate type, soil, and precipitation. For example, silvoarable systems appear to generate the greatest benefits in arid or tropical climates, on sandier soils, and under lower precipitation regimes. Overall, our findings highlight the widespread potential of agroforestry systems to BIAD and multiple EFs across montane regions of Latin America.

Revista



Revista ISSN
Global Change Biology 1354-1013

Métricas Externas



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Disciplinas de Investigación



WOS
Biodiversity Conservation
Ecology
Environmental Sciences
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Visscher, Anna M. - Free University of Bozen-Bolzano - Italia
Free Univ Bozen Bolzano - Italia
2 Meli, Paula Mujer Universidad de La Frontera - Chile
Universidad de Concepción - Chile
3 Fonte, Steven J. Hombre Colorado State University - Estados Unidos
COLORADO STATE UNIV - Estados Unidos
4 Bonari, Gianmaria Hombre Free University of Bozen-Bolzano - Italia
Free Univ Bozen Bolzano - Italia
5 Zerbe, Stefan Hombre Free University of Bozen-Bolzano - Italia
Free Univ Bozen Bolzano - Italia
6 Wellstein, Camilla Mujer Free University of Bozen-Bolzano - Italia
Free Univ Bozen Bolzano - Italia

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Financiamiento



Fuente
CONICYT FONDECYT
Libera Università di Bolzano
Colorado State University
University of California, Davis
Agencia Nacional de Investigación y Desarrollo
Chilean National Agency of Research and Development
Wageningen University and Research
ESALQ-USP
Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo
Chilean National Agency of Research and Development, ANID/CONICYT FONDECYT iniciacion
Free University of Bozen-Bolzano, Italy

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
We thank Dr. Ann Hess from Colorado State University for advice on statistical methods during the development of this meta‐analysis. We further appreciate the constructive help of Dr. Camerron Pittelkow from the University of California, Davis for reading R‐scripts and providing further technical advice. We specially thank PhD student Jorge Tadeu Fim Rosas from Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ‐USP) for his help and guidance in developing figures for this manuscript using the QGIS software. Finally, we are grateful for the support of Dr. Mirjam Pulleman from Wagenignen University (WUR) for her knowledge and inputs to the development of the theorical framework presented in this study. Dr. Anna M. Visscher was supported by a PhD grant of the Free University of Bozen‐Bolzano, Italy. This study was partially supported by the Chilean National Agency of Research and Development, ANID/CONICYT FONDECYT iniciación (Project 11191021). We further thank three anonymous reviewers for their valuable suggestions during the revision of this manuscript.
We thank Dr. Ann Hess from Colorado State University for advice on statistical methods during the development of this meta‐analysis. We further appreciate the constructive help of Dr. Camerron Pittelkow from the University of California, Davis for reading R‐scripts and providing further technical advice. We specially thank PhD student Jorge Tadeu Fim Rosas from Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ‐USP) for his help and guidance in developing figures for this manuscript using the QGIS software. Finally, we are grateful for the support of Dr. Mirjam Pulleman from Wagenignen University (WUR) for her knowledge and inputs to the development of the theorical framework presented in this study. Dr. Anna M. Visscher was supported by a PhD grant of the Free University of Bozen‐Bolzano, Italy. This study was partially supported by the Chilean National Agency of Research and Development, ANID/CONICYT FONDECYT iniciación (Project 11191021). We further thank three anonymous reviewers for their valuable suggestions during the revision of this manuscript.
We thank Dr. Ann Hess from Colorado State University for advice on statistical methods during the development of this meta-analysis. We further appreciate the constructive help of Dr. Camerron Pittelkow from the University of California, Davis for reading R-scripts and providing further technical advice. We specially thank PhD student Jorge Tadeu Fim Rosas from Luiz de Queiroz College of Agriculture, University of SAo Paulo (ESALQ-USP) for his help and guidance in developing figures for this manuscript using the QGIS software. Finally, we are grateful for the support of Dr. Mirjam Pulleman from Wagenignen University (WUR) for her knowledge and inputs to the development of the theorical framework presented in this study. Dr. Anna M. Visscher was supported by a PhD grant of the Free University of Bozen-Bolzano, Italy. This study was partially supported by the Chilean National Agency of Research and Development, ANID/CONICYT FONDECYT iniciacion (Project 11191021). We further thank three anonymous reviewers for their valuable suggestions during the revision of this manuscript.

Muestra la fuente de financiamiento declarada en la publicación.