Land suitability assessment for maize farming using a GIS-AHP method for a semi- arid region, Iran
The aim of this study was to generate land suitability maps for maize farming in calcareous and saline-sodic soils in the Marvdasht plain, Iran. An analytic hierarchy process (AHP) multi-criteria method integrated with GIS and geostatictic was employed to estimate weighting of soil properties, clima...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-07-01
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| Series: | Journal of the Saudi Society of Agricultural Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1658077X20300217 |
| _version_ | 1819015927348330496 |
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| author | Behnam Tashayo Afshin Honarbakhsh Mohammad Akbari Mobin Eftekhari |
| author_facet | Behnam Tashayo Afshin Honarbakhsh Mohammad Akbari Mobin Eftekhari |
| author_sort | Behnam Tashayo |
| collection | DOAJ |
| description | The aim of this study was to generate land suitability maps for maize farming in calcareous and saline-sodic soils in the Marvdasht plain, Iran. An analytic hierarchy process (AHP) multi-criteria method integrated with GIS and geostatictic was employed to estimate weighting of soil properties, climate and topography data. The results indicated that soil texture showed the highest specific weight (0.20) for maize farming followed by electrical conductivity (0.121), slope (1 2 0) and pH (0.118). The land suitability map showed that 38.72% (76,646.7 ha) of the studied agricultural land were the best soils for the maize production i.e. high suitable class, 26.89% (53,216.0 ha) was for the moderately suitable class and 23.98% (47,473 ha) was for marginally suitable class. The 10.41% (20,586.4) of study region was classified as not-suitable for maize farming. It was concluded that soil property, climate and topography data combined with local expert opinion is a first step in site-specific crop farming. |
| first_indexed | 2024-12-21T02:39:31Z |
| format | Article |
| id | doaj.art-b809956c00ff42e494da88e47509b9a1 |
| institution | Directory Open Access Journal |
| issn | 1658-077X |
| language | English |
| last_indexed | 2024-12-21T02:39:31Z |
| publishDate | 2020-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of the Saudi Society of Agricultural Sciences |
| spelling | doaj.art-b809956c00ff42e494da88e47509b9a12022-12-21T19:18:43ZengElsevierJournal of the Saudi Society of Agricultural Sciences1658-077X2020-07-01195332338Land suitability assessment for maize farming using a GIS-AHP method for a semi- arid region, IranBehnam Tashayo0Afshin Honarbakhsh1Mohammad Akbari2Mobin Eftekhari3Faculty of Civil Engineering and Transportation, University of Isfahan, Azadi Square, Isfahan, IranDepartment of Rangeland and Watershed Engineering, Faculty of Natural Resources and Earth Science, Shahrekord University, Shahrekord, Iran; Corresponding author at: Department of Rangeland and Watershed, Engineering, Faculty of Natural Resources and Earth Science, Shahrekord University, Shahrekord, Iran.Dept. of Civil Engineering, University of Birjand, Birjand, IranCivil Engineering, Water and Hydraulic Structures, Young Researchers and Elite Club, Mashhad Branch, Islamic Azad University, Mashhad, IranThe aim of this study was to generate land suitability maps for maize farming in calcareous and saline-sodic soils in the Marvdasht plain, Iran. An analytic hierarchy process (AHP) multi-criteria method integrated with GIS and geostatictic was employed to estimate weighting of soil properties, climate and topography data. The results indicated that soil texture showed the highest specific weight (0.20) for maize farming followed by electrical conductivity (0.121), slope (1 2 0) and pH (0.118). The land suitability map showed that 38.72% (76,646.7 ha) of the studied agricultural land were the best soils for the maize production i.e. high suitable class, 26.89% (53,216.0 ha) was for the moderately suitable class and 23.98% (47,473 ha) was for marginally suitable class. The 10.41% (20,586.4) of study region was classified as not-suitable for maize farming. It was concluded that soil property, climate and topography data combined with local expert opinion is a first step in site-specific crop farming.http://www.sciencedirect.com/science/article/pii/S1658077X20300217Soil dataModelingTopographyAHP methodGISMarvdasht |
| spellingShingle | Behnam Tashayo Afshin Honarbakhsh Mohammad Akbari Mobin Eftekhari Land suitability assessment for maize farming using a GIS-AHP method for a semi- arid region, Iran Journal of the Saudi Society of Agricultural Sciences Soil data Modeling Topography AHP method GIS Marvdasht |
| title | Land suitability assessment for maize farming using a GIS-AHP method for a semi- arid region, Iran |
| title_full | Land suitability assessment for maize farming using a GIS-AHP method for a semi- arid region, Iran |
| title_fullStr | Land suitability assessment for maize farming using a GIS-AHP method for a semi- arid region, Iran |
| title_full_unstemmed | Land suitability assessment for maize farming using a GIS-AHP method for a semi- arid region, Iran |
| title_short | Land suitability assessment for maize farming using a GIS-AHP method for a semi- arid region, Iran |
| title_sort | land suitability assessment for maize farming using a gis ahp method for a semi arid region iran |
| topic | Soil data Modeling Topography AHP method GIS Marvdasht |
| url | http://www.sciencedirect.com/science/article/pii/S1658077X20300217 |
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