Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022)

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The Peruvian Amazon faces an increasing threat of soil erosion, driven by unsustainable agricultural practices and accelerated deforestation. In Neshuya (Ucayali region), agricultural activity has intensified since 2014, but the effect on soil erosion is unknown. The present study aimed to evaluate...

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Detalles Bibliográficos
Autores: Asencio Sanchez, Moises Leonardo, Padilla Castro, Cesar, Riveros Lizana, Chistian Alonso, Hermoza Espezúa, Rosa María, Solórzano Acosta, Richard
Formato: artículo
Fecha de Publicación:2025
Institución:Instituto Nacional de Innovación Agraria
Repositorio:INIA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.inia.gob.pe:20.500.12955/2644
Enlace del recurso:http://hdl.handle.net/20.500.12955/2644
https://doi.org/10.3390/geosciences15010015
Nivel de acceso:acceso abierto
Materia:Degraded tropical soils
Amazonian biome
Remote sensing
PISCO SENAMHI
MapBiomass Peru
https://purl.org/pe-repo/ocde/ford#4.01.04
Agricultura
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dc.title.none.fl_str_mv Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022)
title Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022)
spellingShingle Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022)
Asencio Sanchez, Moises Leonardo
Degraded tropical soils
Amazonian biome
Remote sensing
PISCO SENAMHI
MapBiomass Peru
https://purl.org/pe-repo/ocde/ford#4.01.04
Agricultura
title_short Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022)
title_full Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022)
title_fullStr Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022)
title_full_unstemmed Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022)
title_sort Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022)
author Asencio Sanchez, Moises Leonardo
author_facet Asencio Sanchez, Moises Leonardo
Padilla Castro, Cesar
Riveros Lizana, Chistian Alonso
Hermoza Espezúa, Rosa María
Solórzano Acosta, Richard
author_role author
author2 Padilla Castro, Cesar
Riveros Lizana, Chistian Alonso
Hermoza Espezúa, Rosa María
Solórzano Acosta, Richard
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Asencio Sanchez, Moises Leonardo
Padilla Castro, Cesar
Riveros Lizana, Chistian Alonso
Hermoza Espezúa, Rosa María
Solórzano Acosta, Richard
dc.subject.none.fl_str_mv Degraded tropical soils
Amazonian biome
Remote sensing
PISCO SENAMHI
MapBiomass Peru
topic Degraded tropical soils
Amazonian biome
Remote sensing
PISCO SENAMHI
MapBiomass Peru
https://purl.org/pe-repo/ocde/ford#4.01.04
Agricultura
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#4.01.04
dc.subject.agrovoc.none.fl_str_mv Agricultura
description The Peruvian Amazon faces an increasing threat of soil erosion, driven by unsustainable agricultural practices and accelerated deforestation. In Neshuya (Ucayali region), agricultural activity has intensified since 2014, but the effect on soil erosion is unknown. The present study aimed to evaluate the increase in erosion levels, at a subbasin of the central–eastern Amazon of Peru, in a Geographic Information System (GIS) environment. The revised universal soil loss equation (RUSLE) model was used for assessing the effect of vegetation cover change from 2016 to 2022. In the Neshuya sub-basin (973.4 km2 ), the average erosion increased from 3.87 to 4.55 t ha−1 year−1 , on average. In addition, there is great spatial variability in the values. In addition, 7.65% of the study area (74.52 km2 ) exceeds the soil loss tolerance limit (15 t ha−1 year−1 ). The deforestation rate was 17.99 km2 year−1 and by 2022 the forested area reached 237.65 km2 . In conclusion, the transition from forest to farmland was related to the most critical erosion values. Unsustainable soil management practices can be the underlying explanation of changes in soil chemical and physical properties. Also, social dynamic changes and differences in landscape patterns play a role.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-02-28T05:14:22Z
dc.date.available.none.fl_str_mv 2025-02-28T05:14:22Z
dc.date.issued.fl_str_mv 2025-01-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv Ascencio-Sanchez, M.; Padilla-Castro, C.; Riveros-Lizana, C.; Hermoza-Espezúa, R. M.; Atalluz-Ganoza, D.; & Solórzano-Acosta, R. (2025). Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022). Geosciences, 15(1), 15. doi: 10.3390/geosciences15010015
dc.identifier.issn.none.fl_str_mv 2076-3263
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12955/2644
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/geosciences15010015
identifier_str_mv Ascencio-Sanchez, M.; Padilla-Castro, C.; Riveros-Lizana, C.; Hermoza-Espezúa, R. M.; Atalluz-Ganoza, D.; & Solórzano-Acosta, R. (2025). Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022). Geosciences, 15(1), 15. doi: 10.3390/geosciences15010015
2076-3263
url http://hdl.handle.net/20.500.12955/2644
https://doi.org/10.3390/geosciences15010015
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv uri:issn:2076-3263
dc.relation.ispartofseries.none.fl_str_mv Geosciences
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 MDPI
dc.publisher.country.none.fl_str_mv CH
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Instituto Nacional de Innovación Agraria
reponame:INIA-Institucional
instname:Instituto Nacional de Innovación Agraria
instacron:INIA
instname_str Instituto Nacional de Innovación Agraria
instacron_str INIA
institution INIA
reponame_str INIA-Institucional
collection INIA-Institucional
dc.source.uri.none.fl_str_mv Repositorio Institucional - INIA
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spelling Asencio Sanchez, Moises LeonardoPadilla Castro, CesarRiveros Lizana, Chistian AlonsoHermoza Espezúa, Rosa MaríaSolórzano Acosta, Richard2025-02-28T05:14:22Z2025-02-28T05:14:22Z2025-01-06Ascencio-Sanchez, M.; Padilla-Castro, C.; Riveros-Lizana, C.; Hermoza-Espezúa, R. M.; Atalluz-Ganoza, D.; & Solórzano-Acosta, R. (2025). Impacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022). Geosciences, 15(1), 15. doi: 10.3390/geosciences150100152076-3263http://hdl.handle.net/20.500.12955/2644https://doi.org/10.3390/geosciences15010015The Peruvian Amazon faces an increasing threat of soil erosion, driven by unsustainable agricultural practices and accelerated deforestation. In Neshuya (Ucayali region), agricultural activity has intensified since 2014, but the effect on soil erosion is unknown. The present study aimed to evaluate the increase in erosion levels, at a subbasin of the central–eastern Amazon of Peru, in a Geographic Information System (GIS) environment. The revised universal soil loss equation (RUSLE) model was used for assessing the effect of vegetation cover change from 2016 to 2022. In the Neshuya sub-basin (973.4 km2 ), the average erosion increased from 3.87 to 4.55 t ha−1 year−1 , on average. In addition, there is great spatial variability in the values. In addition, 7.65% of the study area (74.52 km2 ) exceeds the soil loss tolerance limit (15 t ha−1 year−1 ). The deforestation rate was 17.99 km2 year−1 and by 2022 the forested area reached 237.65 km2 . In conclusion, the transition from forest to farmland was related to the most critical erosion values. Unsustainable soil management practices can be the underlying explanation of changes in soil chemical and physical properties. Also, social dynamic changes and differences in landscape patterns play a role.This research was funded by the INIA project “Mejoramiento de los servicios de investigación y transferencia tecnológica en el manejo y recuperación de suelos agrícolas degradados y aguas para riego en la pequeña y mediana agricultura en los departamentos de Lima, Áncash, San Martín, Cajamarca, Lambayeque, Junín, Ayacucho, Arequipa, Puno y Ucayali” CUI 2487112. Acknowledgments: We would like to acknowledge the collaborators of the EEA Pucallpa for giving us the necessary help to finish this workapplication/pdfengMDPICHuri:issn:2076-3263Geosciencesinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Instituto Nacional de Innovación Agrariareponame:INIA-Institucionalinstname:Instituto Nacional de Innovación Agrariainstacron:INIARepositorio Institucional - INIADegraded tropical soilsAmazonian biomeRemote sensingPISCO SENAMHIMapBiomass Peruhttps://purl.org/pe-repo/ocde/ford#4.01.04AgriculturaImpacts of land use on soil erosion: RUSLE analysis in a sub-basin of the Peruvian Amazon (2016–2022)info:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81792https://repositorio.inia.gob.pe/bitstreams/3f341b56-c055-478d-92d2-15a389dbda2f/downloada1dff3722e05e29dac20fa1a97a12ccfMD52ORIGINALAsencio_et-al_2025_soil_erosion.pdfAsencio_et-al_2025_soil_erosion.pdfapplication/pdf10127274https://repositorio.inia.gob.pe/bitstreams/2bd88336-445f-4a1f-8873-0e9d3972ee8a/downloadf85388b0e29cbc5290801459c13c5462MD5320.500.12955/2644oai:repositorio.inia.gob.pe:20.500.12955/26442025-02-28 00:14:23.626https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.inia.gob.peRepositorio Institucional INIArepositorio@inia.gob.peTk9UQTogQ09MT1FVRSBTVSBQUk9QSUEgTElDRU5DSUEgQVFVw40KRXN0YSBsaWNlbmNpYSBkZSBtdWVzdHJhIHNlIHByb3BvcmNpb25hIMO6bmljYW1lbnRlIGNvbiBmaW5lcyBpbmZvcm1hdGl2b3MuCgpMSUNFTkNJQSBERSBESVNUUklCVUNJw5NOIE5PIEVYQ0xVU0lWQQpBbCBmaXJtYXIgeSBlbnZpYXIgZXN0YSBsaWNlbmNpYSwgdXN0ZWQgKGVsIGF1dG9yIG8gcHJvcGlldGFyaW8gZGUgbG9zIGRlcmVjaG9zIGRlIGF1dG9yKSBvdG9yZ2EgYSBEU3BhY2UgVW5pdmVyc2l0eSAoRFNVKSBlbCBkZXJlY2hvIG5vIGV4Y2x1c2l2byBkZSByZXByb2R1Y2lyLCB0cmFkdWNpciAoY29tbyBzZSBkZWZpbmUgYSBjb250aW51YWNpw7NuKSB5L28gZGlzdHJpYnVpciBzdSBlbnbDrW8gKGluY2x1aWRvIGVsIHJlc3VtZW4pLiApIGVuIHRvZG8gZWwgbXVuZG8gZW4gZm9ybWF0byBpbXByZXNvIHkgZWxlY3Ryw7NuaWNvIHkgZW4gY3VhbHF1aWVyIG1lZGlvLCBpbmNsdWlkb3MsIGVudHJlIG90cm9zLCBhdWRpbyBvIHbDrWRlby4KClVzdGVkIGFjZXB0YSBxdWUgRFNVIHB1ZWRlLCBzaW4gY2FtYmlhciBlbCBjb250ZW5pZG8sIHRyYWR1Y2lyIGVsIGVudsOtbyBhIGN1YWxxdWllciBtZWRpbyBvIGZvcm1hdG8gY29uIGVsIGZpbiBkZSBwcmVzZXJ2YXJsby4KClRhbWJpw6luIGFjZXB0YSBxdWUgRFNVIHB1ZWRlIGNvbnNlcnZhciBtw6FzIGRlIHVuYSBjb3BpYSBkZSBlc3RlIGVudsOtbyBwb3IgbW90aXZvcyBkZSBzZWd1cmlkYWQsIHJlc3BhbGRvIHkgcHJlc2VydmFjacOzbi4KClVzdGVkIGRlY2xhcmEgcXVlIGVsIGVudsOtbyBlcyBzdSB0cmFiYWpvIG9yaWdpbmFsIHkgcXVlIHRpZW5lIGRlcmVjaG8gYSBvdG9yZ2FyIGxvcyBkZXJlY2hvcyBjb250ZW5pZG9zIGVuIGVzdGEgbGljZW5jaWEuIFRhbWJpw6luIGRlY2xhcmEgcXVlIHN1IGVudsOtbywgYSBzdSBsZWFsIHNhYmVyIHkgZW50ZW5kZXIsIG5vIGluZnJpbmdlIGxvcyBkZXJlY2hvcyBkZSBhdXRvciBkZSBuYWRpZS4KClNpIGVsIGVudsOtbyBjb250aWVuZSBtYXRlcmlhbCBzb2JyZSBlbCBjdWFsIHVzdGVkIG5vIHBvc2VlIGRlcmVjaG9zIGRlIGF1dG9yLCBkZWNsYXJhIHF1ZSBoYSBvYnRlbmlkbyBlbCBwZXJtaXNvIGlsaW1pdGFkbyBkZWwgcHJvcGlldGFyaW8gZGUgbG9zIGRlcmVjaG9zIGRlIGF1dG9yIHBhcmEgb3RvcmdhciBhIERTVSBsb3MgZGVyZWNob3MgcmVxdWVyaWRvcyBwb3IgZXN0YSBsaWNlbmNpYSwgeSBxdWUgZGljaG8gbWF0ZXJpYWwgcHJvcGllZGFkIGRlIHRlcmNlcm9zIGVzdMOhIGNsYXJhbWVudGUgaWRlbnRpZmljYWRvIHkgcmVjb25vY2lkbyBkZW50cm8gZGUgZWwgdGV4dG8gbyBjb250ZW5pZG8gZGUgbGEgcHJlc2VudGFjacOzbi4KClNJIEVMIEVOVsONTyBTRSBCQVNBIEVOIFVOIFRSQUJBSk8gUVVFIEhBIFNJRE8gUEFUUk9DSU5BRE8gTyBBUE9ZQURPIFBPUiBVTkEgQUdFTkNJQSBVIE9SR0FOSVpBQ0nDk04gRElTVElOVEEgREUgRFNVLCBVU1RFRCBERUNMQVJBIFFVRSBIQSBDVU1QTElETyBDVUFMUVVJRVIgREVSRUNITyBERSBSRVZJU0nDk04gVSBPVFJBUyBPQkxJR0FDSU9ORVMgUkVRVUVSSURBUyBQT1IgRElDSE8gQ09OVFJBVE8gTyBBQ1VFUkRPLgoKRFNVIGlkZW50aWZpY2Fyw6EgY2xhcmFtZW50ZSBzdShzKSBub21icmUocykgY29tbyBhdXRvcihlcykgbyBwcm9waWV0YXJpbyhzKSBkZWwgZW52w61vIHkgbm8gcmVhbGl6YXLDoSBuaW5ndW5hIGFsdGVyYWNpw7NuIGVuIHN1IGVudsOtbywgc2Fsdm8gbGFzIHBlcm1pdGlkYXMgcG9yIGVzdGEgbGljZW5jaWEuCg==
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