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| Indexado |
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| 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
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.
| 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 |
| 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 |
| 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. |