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Resumen
Soil fertility in agricultural landscapes is driven by complex interactions between natural and anthropogenic processes, with organic matter (OM) inputs playing a critical role. Asymmetric allocation patterns of these resources among communities and within individual farms can lead to soil fertility gradients. However, the drivers and consequences of such patterns in different socioecological contexts remains poorly documented and understood. The [ver mas...]
dc.contributor.authorCaulfield, Mark E.
dc.contributor.authorFonte, Steven J.
dc.contributor.authorTittonell, Pablo Adrian
dc.contributor.authorVanek, Steven J.
dc.contributor.authorSherwood, Stephen
dc.contributor.authorOyarzun, Pedro
dc.contributor.authorBorja, Ross Mary
dc.contributor.authorDumble, Sam
dc.contributor.authorGroot, Jeroen C.J.
dc.date.accessioned2023-08-22T10:24:30Z
dc.date.available2023-08-22T10:24:30Z
dc.date.issued2020-12
dc.identifier.issn1099-145X
dc.identifier.issn1085-3278
dc.identifier.otherhttps://doi.org/10.1002/ldr.3635
dc.identifier.urihttp://hdl.handle.net/20.500.12123/14967
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/10.1002/ldr.3635
dc.description.abstractSoil fertility in agricultural landscapes is driven by complex interactions between natural and anthropogenic processes, with organic matter (OM) inputs playing a critical role. Asymmetric allocation patterns of these resources among communities and within individual farms can lead to soil fertility gradients. However, the drivers and consequences of such patterns in different socioecological contexts remains poorly documented and understood. The objective of this study was to address this gap by assessing asymmetric OM allocation patterns and the associated consequences for soil fertility management in three indigenous communities located in the Central Ecuadorian Andes. We found that both distance from homestead and perception of fertility were associated with asymmetric OM allocation patterns to fields as well as with soil fertility gradients within farms. For example, soil organic carbon (SOC), total nitrogen (N), available phosphorus (P), and exchangeable potassium (K) all decreased with distance from the homestead, while SOC, total N, and available P were positively correlated with a farmer's perception of soil fertility. We note that these fertility gradients remained even in the case of increased farm-level OM inputs. Overall OM allocation patterns differed significantly among communities and were associated with significant differences in soil fertility, with the highest levels of available P and exchangeable K found in the community with the highest OM inputs. The results of this study indicate the importance of asymmetric OM allocation patterns encountered at different scales, both within farms and among neighboring communities, in rural Andean landscapes and their significant interactions with soil fertility gradients.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherWileyes_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceLand Degradation & Development 31 (18) : 2973-2985 (December 2020)es_AR
dc.subjectEcuadores_AR
dc.subjectOrdenación de Recursos Naturaleses_AR
dc.subjectNatural Resources Managementeng
dc.subjectCarbón Orgánico del Sueloes_AR
dc.subjectSoil Organic Carboneng
dc.subjectPaisaje Agrícolaes_AR
dc.subjectAgricultural Landscapeeng
dc.subjectFertilidad del Sueloes_AR
dc.subjectSoil Fertilityeng
dc.titleInter-community and on-farm asymmetric organic matter allocation patterns drive soil fertility gradients in a rural Andean landscape.es_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Barilochees_AR
dc.description.filFil: Caulfield, Mark E. Wageningen University & Research. Farming Systems Ecology; Países Bajoses_AR
dc.description.filFil: Caulfield, Mark E. Fundación EkoRural; Ecuadores_AR
dc.description.filFil: Caulfield, Mark E. Colorado State University. Department of Soil and Crop Sciences; Estados Unidoses_AR
dc.description.filFil: Fonte, Steven J. Colorado State University. Department of Soil and Crop Sciences; Estados Unidoses_AR
dc.description.filFil: Tittonell, Pablo Adrian. Wageningen University & Research. Farming Systems Ecology; Países Bajoses_AR
dc.description.filFil: Tittonell, Pablo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. Grupo Interdisciplinario de Agroecología, Ambiente y Sistemas de Producción; Argentinaes_AR
dc.description.filFil: Tittonell, Pablo Adrian. Université de Montpellier. Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD). Agroécologie et Intensification Durable (AïDA); Franciaes_AR
dc.description.filFil: Tittonell, Pablo Adrian. Groningen University. Institute of Evolutionary Life Science; Países Bajoses_AR
dc.description.filFil: Sherwood, Stephen. Wageningen University & Research. Knowledge Technology and Innovation; Países Bajoses_AR
dc.description.filFil: Oyarzun, Pedro. Fundacion EkoRural; Ecuadores_AR
dc.description.filFil: Borja, Ross Mary. Fundacion EkoRural; Ecuadores_AR
dc.description.filFil: Dumble, Sam. Statistics for Sustainable Development; Reino Unidoes_AR
dc.description.filFil: Groot, Jeroen C. J. Wageningen University & Research. Farming Systems Ecology Group, Plant Sciences; Países Bajoses_AR
dc.subtypecientifico


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