Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru
Descripción del Articulo
Soil is a vital nonrenewable resource characterized by rapid degradation and slow regeneration processes. In this study, soil degradation in Jaén and San Ignacio was assessed via a multicriteria evaluation approach combined with remote sensing (RS) data. Nine factors were analyzed classified three c...
Autores: | , , , , , , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2024 |
Institución: | Instituto Nacional de Innovación Agraria |
Repositorio: | INIA-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:null:20.500.12955/2625 |
Enlace del recurso: | http://hdl.handle.net/20.500.12955/2625 https://doi.org/10.1080/10106049.2024.2443235 |
Nivel de acceso: | acceso abierto |
Materia: | Soil degradation GIS RS AHP Evaluation https://purl.org/pe-repo/ocde/ford#4.01.06 |
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dc.title.none.fl_str_mv |
Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru |
title |
Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru |
spellingShingle |
Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru Arce Inga, Marielita Soil degradation GIS RS AHP Evaluation https://purl.org/pe-repo/ocde/ford#4.01.06 Soil degradation |
title_short |
Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru |
title_full |
Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru |
title_fullStr |
Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru |
title_full_unstemmed |
Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru |
title_sort |
Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru |
author |
Arce Inga, Marielita |
author_facet |
Arce Inga, Marielita Atalaya Marin, Nilton Barboza Castillo, Elgar Tarrillo Julca, Ever Chuquibala Checan, Beimer Tineo Flores, Daniel Fernandez Zarate, Franklin Hitler Cruz Luis, Juancarlos Alejandro Goñas Goñas, Malluri Gómez Fernández, Darwin |
author_role |
author |
author2 |
Atalaya Marin, Nilton Barboza Castillo, Elgar Tarrillo Julca, Ever Chuquibala Checan, Beimer Tineo Flores, Daniel Fernandez Zarate, Franklin Hitler Cruz Luis, Juancarlos Alejandro Goñas Goñas, Malluri Gómez Fernández, Darwin |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Arce Inga, Marielita Atalaya Marin, Nilton Barboza Castillo, Elgar Tarrillo Julca, Ever Chuquibala Checan, Beimer Tineo Flores, Daniel Fernandez Zarate, Franklin Hitler Cruz Luis, Juancarlos Alejandro Goñas Goñas, Malluri Gómez Fernández, Darwin |
dc.subject.none.fl_str_mv |
Soil degradation GIS RS AHP Evaluation |
topic |
Soil degradation GIS RS AHP Evaluation https://purl.org/pe-repo/ocde/ford#4.01.06 Soil degradation |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#4.01.06 |
dc.subject.agrovoc.none.fl_str_mv |
Soil degradation |
description |
Soil is a vital nonrenewable resource characterized by rapid degradation and slow regeneration processes. In this study, soil degradation in Jaén and San Ignacio was assessed via a multicriteria evaluation approach combined with remote sensing (RS) data. Nine factors were analyzed classified three categories: environmental, topographic, and edaphological factors. The results revealed that the slope (59.07%) was the main influencing factor, followed by land use and land cover (LULC) (56.36%). The degradation map revealed that 83.48% of the area exhibited moderate degradation, 14.49% low degradation, and 1.56% high degradation. The districts of Pomahuaca and San José de Lourdes demonstrated the largest areas of moderate degradation, accounting for 13.71% and 22.54%, respectively. Bellavista and Huarango exhibited the largest areas of very high degradation, accounting for 0.27% and 0.08%, respectively. The (AHP) method and RS data were employed to assess soil degradation, highlighting the need for sustainable soil restoration and conservation strategies. |
publishDate |
2024 |
dc.date.accessioned.none.fl_str_mv |
2024-12-26T05:00:25Z |
dc.date.available.none.fl_str_mv |
2024-12-26T05:00:25Z |
dc.date.issued.fl_str_mv |
2024-12-23 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.citation.none.fl_str_mv |
Arce-Inga, M.; Atalaya-Marin, N.; Barboza, E.; Tarrillo, E.; Chuquibala-Checan, B.; Tineo, D.; Fernandez-Zarte, F.; Cruz-Luis, J.; Goñas, M.; & Gómez-Fernández, D. (2024). Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru. Geocarto International, 40(1). doi: 10.1080/10106049.2024.2443235 |
dc.identifier.issn.none.fl_str_mv |
1752-0762 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12955/2625 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1080/10106049.2024.2443235 |
identifier_str_mv |
Arce-Inga, M.; Atalaya-Marin, N.; Barboza, E.; Tarrillo, E.; Chuquibala-Checan, B.; Tineo, D.; Fernandez-Zarte, F.; Cruz-Luis, J.; Goñas, M.; & Gómez-Fernández, D. (2024). Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru. Geocarto International, 40(1). doi: 10.1080/10106049.2024.2443235 1752-0762 |
url |
http://hdl.handle.net/20.500.12955/2625 https://doi.org/10.1080/10106049.2024.2443235 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
urn:issn:1752-0762 |
dc.relation.ispartofseries.none.fl_str_mv |
Geocarto International |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Taylor & Francis Group |
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GB |
publisher.none.fl_str_mv |
Taylor & Francis Group |
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Instituto Nacional de Innovación Agraria reponame:INIA-Institucional instname:Instituto Nacional de Innovación Agraria instacron:INIA |
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INIA |
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INIA-Institucional |
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Repositorio Institucional - INIA |
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Arce Inga, MarielitaAtalaya Marin, NiltonBarboza Castillo, ElgarTarrillo Julca, EverChuquibala Checan, BeimerTineo Flores, DanielFernandez Zarate, Franklin HitlerCruz Luis, Juancarlos AlejandroGoñas Goñas, MalluriGómez Fernández, Darwin2024-12-26T05:00:25Z2024-12-26T05:00:25Z2024-12-23Arce-Inga, M.; Atalaya-Marin, N.; Barboza, E.; Tarrillo, E.; Chuquibala-Checan, B.; Tineo, D.; Fernandez-Zarte, F.; Cruz-Luis, J.; Goñas, M.; & Gómez-Fernández, D. (2024). Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru. Geocarto International, 40(1). doi: 10.1080/10106049.2024.24432351752-0762http://hdl.handle.net/20.500.12955/2625https://doi.org/10.1080/10106049.2024.2443235Soil is a vital nonrenewable resource characterized by rapid degradation and slow regeneration processes. In this study, soil degradation in Jaén and San Ignacio was assessed via a multicriteria evaluation approach combined with remote sensing (RS) data. Nine factors were analyzed classified three categories: environmental, topographic, and edaphological factors. The results revealed that the slope (59.07%) was the main influencing factor, followed by land use and land cover (LULC) (56.36%). The degradation map revealed that 83.48% of the area exhibited moderate degradation, 14.49% low degradation, and 1.56% high degradation. The districts of Pomahuaca and San José de Lourdes demonstrated the largest areas of moderate degradation, accounting for 13.71% and 22.54%, respectively. Bellavista and Huarango exhibited the largest areas of very high degradation, accounting for 0.27% and 0.08%, respectively. The (AHP) method and RS data were employed to assess soil degradation, highlighting the need for sustainable soil restoration and conservation strategies.his research was financed by the Instituto Nacional de Innovación Agraria INIA through an Investment Project with CUI N° 2472675 called: Mejoramiento de los Servicios de Investigación y Transferencia de Tecnología Agraria en la Estación Experimental Agraria Baños del Inca Baños del Inca, located in the district of Baños del Inca, province of Cajamarca, department of Cajamarca.application/pdfengTaylor & Francis GroupGBurn:issn:1752-0762Geocarto Internationalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Instituto Nacional de Innovación Agrariareponame:INIA-Institucionalinstname:Instituto Nacional de Innovación Agrariainstacron:INIARepositorio Institucional - INIASoil degradationGISRSAHPEvaluationhttps://purl.org/pe-repo/ocde/ford#4.01.06Soil degradationMulticriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peruinfo:eu-repo/semantics/articleORIGINALArce_et-al_2024_soil_degradation.pdfArce_et-al_2024_soil_degradation.pdfapplication/pdf3409215https://repositorio.inia.gob.pe/bitstreams/cb537189-a62a-42db-9923-92f416db7bc2/download2275e3e9a9e161a56a9c9628653af162MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81792https://repositorio.inia.gob.pe/bitstreams/6aba19f0-e155-4d46-b752-fb167a669808/downloada1dff3722e05e29dac20fa1a97a12ccfMD5220.500.12955/2625oai:repositorio.inia.gob.pe:20.500.12955/26252024-12-26 00:00:26.217https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.inia.gob.peRepositorio Institucional INIArepositorio@inia.gob.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 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).