Land Suitability Analysis for Potato Crop in the Jucusbamba and Tincas Microwatersheds (Amazonas, NW Peru): AHP and RS–GIS Approach
Agricultural productivity in the Peruvian region of Amazonas is being jeopardized by conflicts and inadequate land use, that are ultimately contributing to environmental degradation. Therefore, our aim is to assess land suitability for potato (<i>Solanum tuberosum</i> L.) farming in the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/10/12/1898 |
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| author | Daniel Iliquín Trigoso Rolando Salas López Nilton B. Rojas Briceño Jhonsy O. Silva López Darwin Gómez Fernández Manuel Oliva Lenin Quiñones Huatangari Renzo E. Terrones Murga Elgar Barboza Castillo Miguel Ángel Barrena Gurbillón |
| author_facet | Daniel Iliquín Trigoso Rolando Salas López Nilton B. Rojas Briceño Jhonsy O. Silva López Darwin Gómez Fernández Manuel Oliva Lenin Quiñones Huatangari Renzo E. Terrones Murga Elgar Barboza Castillo Miguel Ángel Barrena Gurbillón |
| author_sort | Daniel Iliquín Trigoso |
| collection | DOAJ |
| description | Agricultural productivity in the Peruvian region of Amazonas is being jeopardized by conflicts and inadequate land use, that are ultimately contributing to environmental degradation. Therefore, our aim is to assess land suitability for potato (<i>Solanum tuberosum</i> L.) farming in the Jucusbamba and Tincas microwatersheds located in Amazonas, in order to improve land-use planning and enhance the crop productivity of small-scale farmers. The site selection methodology involved a pair-wise comparison matrix (PCM) and a weighted multicriteria analysis using the Analytical Hierarchy Process (AHP) on selected biophysical and socioeconomical drivers. Simultaneously, land cover mapping was conducted using field samples, remote sensing (RS), geostatistics and geographic information systems (GIS). The results indicated that for potato crop farming, the most important criteria are climatological (30.14%), edaphological (29.16%), topographical (25.72%) and socioeconomical (14.98%) in nature. The final output map indicated that 8.2% (22.91 km<sup>2</sup>) was highly suitable, 68.5% (190.37 km<sup>2</sup>) was moderately suitable, 21.6% (60.11 km<sup>2</sup>) was marginally suitable and 0.0% was not suitable for potato farming. Built-up areas (archaeological sites, urban and road networks) and bodies of water were discarded from this study (4.64 km<sup>2</sup>). This study intends to promote and guide sustainable agriculture through agricultural land planning. |
| first_indexed | 2024-03-10T14:24:42Z |
| format | Article |
| id | doaj.art-d3b058c003a347ffa9822c3e37721c04 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T14:24:42Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-d3b058c003a347ffa9822c3e37721c042023-11-20T23:07:27ZengMDPI AGAgronomy2073-43952020-12-011012189810.3390/agronomy10121898Land Suitability Analysis for Potato Crop in the Jucusbamba and Tincas Microwatersheds (Amazonas, NW Peru): AHP and RS–GIS ApproachDaniel Iliquín Trigoso0Rolando Salas López1Nilton B. Rojas Briceño2Jhonsy O. Silva López3Darwin Gómez Fernández4Manuel Oliva5Lenin Quiñones Huatangari6Renzo E. Terrones Murga7Elgar Barboza Castillo8Miguel Ángel Barrena Gurbillón9Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) de la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) de la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) de la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) de la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) de la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) de la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas 01001, PeruInstituto de Ciencia de Datos, Universidad Nacional de Jaén, Jaén 06801, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) de la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) de la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) de la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas 01001, PeruAgricultural productivity in the Peruvian region of Amazonas is being jeopardized by conflicts and inadequate land use, that are ultimately contributing to environmental degradation. Therefore, our aim is to assess land suitability for potato (<i>Solanum tuberosum</i> L.) farming in the Jucusbamba and Tincas microwatersheds located in Amazonas, in order to improve land-use planning and enhance the crop productivity of small-scale farmers. The site selection methodology involved a pair-wise comparison matrix (PCM) and a weighted multicriteria analysis using the Analytical Hierarchy Process (AHP) on selected biophysical and socioeconomical drivers. Simultaneously, land cover mapping was conducted using field samples, remote sensing (RS), geostatistics and geographic information systems (GIS). The results indicated that for potato crop farming, the most important criteria are climatological (30.14%), edaphological (29.16%), topographical (25.72%) and socioeconomical (14.98%) in nature. The final output map indicated that 8.2% (22.91 km<sup>2</sup>) was highly suitable, 68.5% (190.37 km<sup>2</sup>) was moderately suitable, 21.6% (60.11 km<sup>2</sup>) was marginally suitable and 0.0% was not suitable for potato farming. Built-up areas (archaeological sites, urban and road networks) and bodies of water were discarded from this study (4.64 km<sup>2</sup>). This study intends to promote and guide sustainable agriculture through agricultural land planning.https://www.mdpi.com/2073-4395/10/12/1898agricultural zoningAHP-GISEMCGIS modellingkrigingland suitability |
| spellingShingle | Daniel Iliquín Trigoso Rolando Salas López Nilton B. Rojas Briceño Jhonsy O. Silva López Darwin Gómez Fernández Manuel Oliva Lenin Quiñones Huatangari Renzo E. Terrones Murga Elgar Barboza Castillo Miguel Ángel Barrena Gurbillón Land Suitability Analysis for Potato Crop in the Jucusbamba and Tincas Microwatersheds (Amazonas, NW Peru): AHP and RS–GIS Approach Agronomy agricultural zoning AHP-GIS EMC GIS modelling kriging land suitability |
| title | Land Suitability Analysis for Potato Crop in the Jucusbamba and Tincas Microwatersheds (Amazonas, NW Peru): AHP and RS–GIS Approach |
| title_full | Land Suitability Analysis for Potato Crop in the Jucusbamba and Tincas Microwatersheds (Amazonas, NW Peru): AHP and RS–GIS Approach |
| title_fullStr | Land Suitability Analysis for Potato Crop in the Jucusbamba and Tincas Microwatersheds (Amazonas, NW Peru): AHP and RS–GIS Approach |
| title_full_unstemmed | Land Suitability Analysis for Potato Crop in the Jucusbamba and Tincas Microwatersheds (Amazonas, NW Peru): AHP and RS–GIS Approach |
| title_short | Land Suitability Analysis for Potato Crop in the Jucusbamba and Tincas Microwatersheds (Amazonas, NW Peru): AHP and RS–GIS Approach |
| title_sort | land suitability analysis for potato crop in the jucusbamba and tincas microwatersheds amazonas nw peru ahp and rs gis approach |
| topic | agricultural zoning AHP-GIS EMC GIS modelling kriging land suitability |
| url | https://www.mdpi.com/2073-4395/10/12/1898 |
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