Spatial analysis of environmentally sensitive areas to soil degradation using MEDALUS model and GIS in Amazonas (Peru): an alternative for ecological restoration
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...
| Autores principales: | , , , , , |
|---|---|
| Formato: | info:eu-repo/semantics/article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.12955/2042 https://doi.org/10.3390/su142214866 |
| _version_ | 1855028421802852352 |
|---|---|
| author | Meza Mori, Gerson Torres Guzmán, Cristóbal Oliva Cruz, Manuel Salas López, Rolando Marlo, Gladys Barboza Castillo, Elgar |
| author_browse | Barboza Castillo, Elgar Marlo, Gladys Meza Mori, Gerson Oliva Cruz, Manuel Salas López, Rolando Torres Guzmán, Cristóbal |
| author_facet | Meza Mori, Gerson Torres Guzmán, Cristóbal Oliva Cruz, Manuel Salas López, Rolando Marlo, Gladys Barboza Castillo, Elgar |
| author_sort | Meza Mori, Gerson |
| collection | Repositorio INIA |
| 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. |
| format | info:eu-repo/semantics/article |
| id | INIA2042 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | INIA20422024-02-05T17:55:01Z 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 Torres Guzmán, Cristóbal Oliva Cruz, Manuel Salas López, Rolando Marlo, Gladys Barboza Castillo, Elgar Land degradation Quality indicators Spatial analysis ESAI Sustainability https://purl.org/pe-repo/ocde/ford#4.01.04 Land degradation Indicators Spatial analysis Sustainability 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. 2022-12-23T17:35:47Z 2022-12-23T17:35:47Z 2022-11-10 info:eu-repo/semantics/article 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 https://hdl.handle.net/20.500.12955/2042 https://doi.org/10.3390/su142214866 eng Sustainability info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf MDPI CH Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Land degradation Quality indicators Spatial analysis ESAI Sustainability https://purl.org/pe-repo/ocde/ford#4.01.04 Land degradation Indicators Spatial analysis Sustainability Meza Mori, Gerson Torres Guzmán, Cristóbal Oliva Cruz, Manuel Salas López, Rolando Marlo, Gladys Barboza Castillo, Elgar 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 |
| 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_short | 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 |
| 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 |
| url | https://hdl.handle.net/20.500.12955/2042 https://doi.org/10.3390/su142214866 |
| work_keys_str_mv | AT mezamorigerson spatialanalysisofenvironmentallysensitiveareastosoildegradationusingmedalusmodelandgisinamazonasperuanalternativeforecologicalrestoration AT torresguzmancristobal spatialanalysisofenvironmentallysensitiveareastosoildegradationusingmedalusmodelandgisinamazonasperuanalternativeforecologicalrestoration AT olivacruzmanuel spatialanalysisofenvironmentallysensitiveareastosoildegradationusingmedalusmodelandgisinamazonasperuanalternativeforecologicalrestoration AT salaslopezrolando spatialanalysisofenvironmentallysensitiveareastosoildegradationusingmedalusmodelandgisinamazonasperuanalternativeforecologicalrestoration AT marlogladys spatialanalysisofenvironmentallysensitiveareastosoildegradationusingmedalusmodelandgisinamazonasperuanalternativeforecologicalrestoration AT barbozacastilloelgar spatialanalysisofenvironmentallysensitiveareastosoildegradationusingmedalusmodelandgisinamazonasperuanalternativeforecologicalrestoration |