Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration

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Land degradation is a permanent global threat that requires an interdisciplinary approach to addressing solutions in a given territory. This study, therefore, analyses environmentally sensitive areas to land degradation using the Mediterranean Desertification and Land Use (MEDALUS) and Geographic In...

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Detalles Bibliográficos
Autores: Meza Mori, Gerson, Torres Guzmán, Cristóbal, Oliva Cruz, Manuel, Salas López, Rolando, Marlo, Gladys, Barboza Castillo, Elgar
Formato: artículo
Fecha de Publicación:2022
Institución:Instituto Nacional de Innovación Agraria
Repositorio:INIA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.inia.gob.pe:20.500.12955/2042
Enlace del recurso:https://hdl.handle.net/20.500.12955/2042
https://doi.org/10.3390/su142214866
Nivel de acceso:acceso abierto
Materia:Land degradation
Quality indicators
Spatial analysis
ESAI
Sustainability
https://purl.org/pe-repo/ocde/ford#4.01.04
Indicators
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dc.title.en.fl_str_mv Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration
title Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration
spellingShingle Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration
Meza Mori, Gerson
Land degradation
Quality indicators
Spatial analysis
ESAI
Sustainability
https://purl.org/pe-repo/ocde/ford#4.01.04
Land degradation
Indicators
Spatial analysis
Sustainability
title_short Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration
title_full Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration
title_fullStr Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration
title_full_unstemmed Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration
title_sort Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration
author Meza Mori, Gerson
author_facet Meza Mori, Gerson
Torres Guzmán, Cristóbal
Oliva Cruz, Manuel
Salas López, Rolando
Marlo, Gladys
Barboza Castillo, Elgar
author_role author
author2 Torres Guzmán, Cristóbal
Oliva Cruz, Manuel
Salas López, Rolando
Marlo, Gladys
Barboza Castillo, Elgar
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Meza Mori, Gerson
Torres Guzmán, Cristóbal
Oliva Cruz, Manuel
Salas López, Rolando
Marlo, Gladys
Barboza Castillo, Elgar
dc.subject.en.fl_str_mv Land degradation
Quality indicators
Spatial analysis
ESAI
Sustainability
topic Land degradation
Quality indicators
Spatial analysis
ESAI
Sustainability
https://purl.org/pe-repo/ocde/ford#4.01.04
Land degradation
Indicators
Spatial analysis
Sustainability
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#4.01.04
dc.subject.agrovoc.en.fl_str_mv Land degradation
Indicators
Spatial analysis
Sustainability
description Land degradation is a permanent global threat that requires an interdisciplinary approach to addressing solutions in a given territory. This study, therefore, analyses environmentally sensitive areas to land degradation using the Mediterranean Desertification and Land Use (MEDALUS) and Geographic Information System (GIS) method through a multi-criteria approach in the district of Florida (Peru). For the method, we considered the main quality indicators such as: Climate Quality Index (CQI), Soil Quality Index (SQI), Vegetation Quality Index (VQI), and Management Quality Index (MQI). There were also identified groups of parameters for each of the quality indicators analyzed. The results showed that 2.96% of the study area is classified as critical; 48.85% of the surface is classified as fragile; 15.48% of the areas are potentially endangered, and 30.46% are not threatened by degradation processes. Furthermore, SQI, VQI, and MQI induced degradation processes in the area. Based on the results, five restoration proposals were made in the study area: (i) organic manure production, (ii) cultivated and improved pastures and livestock improvement, (iii) native forest restoration, (iv) construction of reservoirs in the top hills and (v) uses of new technologies. The findings and proposals can be a basic support and further improved by decision-makers when implemented in situ to mitigate degradation for a sustainable use of the territory.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-12-23T17:35:47Z
dc.date.available.none.fl_str_mv 2022-12-23T17:35:47Z
dc.date.issued.fl_str_mv 2022-11-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.en.fl_str_mv Meza, G.; Torres, C.; Oliva, M.; Salas, R.; Marlo, G. & Barboza, E. (2022). Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration. Sustainabilit,, 14(22), 14866. doi: 10.3390/su142214866
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12955/2042
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/su142214866
identifier_str_mv Meza, G.; Torres, C.; Oliva, M.; Salas, R.; Marlo, G. & Barboza, E. (2022). Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration. Sustainabilit,, 14(22), 14866. doi: 10.3390/su142214866
url https://hdl.handle.net/20.500.12955/2042
https://doi.org/10.3390/su142214866
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.en.fl_str_mv Sustainability
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.en.fl_str_mv MDPI
dc.publisher.country.none.fl_str_mv CH
dc.source.es_PE.fl_str_mv Instituto Nacional de Innovación Agraria
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instname_str Instituto Nacional de Innovación Agraria
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spelling Meza Mori, GersonTorres Guzmán, CristóbalOliva Cruz, ManuelSalas López, RolandoMarlo, GladysBarboza Castillo, Elgar2022-12-23T17:35:47Z2022-12-23T17:35:47Z2022-11-10Meza, G.; Torres, C.; Oliva, M.; Salas, R.; Marlo, G. & Barboza, E. (2022). Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration. Sustainabilit,, 14(22), 14866. doi: 10.3390/su142214866https://hdl.handle.net/20.500.12955/2042https://doi.org/10.3390/su142214866Land degradation is a permanent global threat that requires an interdisciplinary approach to addressing solutions in a given territory. This study, therefore, analyses environmentally sensitive areas to land degradation using the Mediterranean Desertification and Land Use (MEDALUS) and Geographic Information System (GIS) method through a multi-criteria approach in the district of Florida (Peru). For the method, we considered the main quality indicators such as: Climate Quality Index (CQI), Soil Quality Index (SQI), Vegetation Quality Index (VQI), and Management Quality Index (MQI). There were also identified groups of parameters for each of the quality indicators analyzed. The results showed that 2.96% of the study area is classified as critical; 48.85% of the surface is classified as fragile; 15.48% of the areas are potentially endangered, and 30.46% are not threatened by degradation processes. Furthermore, SQI, VQI, and MQI induced degradation processes in the area. Based on the results, five restoration proposals were made in the study area: (i) organic manure production, (ii) cultivated and improved pastures and livestock improvement, (iii) native forest restoration, (iv) construction of reservoirs in the top hills and (v) uses of new technologies. 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