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Suitability analysis for rice growing sites using a multicriteria evaluation and GIS approach in great Mwea region, Kenya
Land suitability analysis is a prerequisite to achieving optimum utilization of the available land resources. Lack of knowledge on best combination of factors that suit production of rice has contributed to the low production. The aim of this study was to develop a suitability map for rice crop base...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3717158/ https://www.ncbi.nlm.nih.gov/pubmed/23888264 http://dx.doi.org/10.1186/2193-1801-2-265 |
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author | Kihoro, Joseph Bosco, Njoroge J Murage, Hunja |
author_facet | Kihoro, Joseph Bosco, Njoroge J Murage, Hunja |
author_sort | Kihoro, Joseph |
collection | PubMed |
description | Land suitability analysis is a prerequisite to achieving optimum utilization of the available land resources. Lack of knowledge on best combination of factors that suit production of rice has contributed to the low production. The aim of this study was to develop a suitability map for rice crop based on physical and climatic factors of production using a Multi-Criteria Evaluation (MCE) & GIS approach. The study was carried out in Kirinyaga, Embu and Mberee counties in Kenya. Biophysical variables of soil, climate and topography were considered for suitability analysis. All data were stored in ArcGIS 9.3 environment and the factor maps were generated. For MCE, Pairwise Comparison Matrix was applied and the suitable areas for rice crop were generated and graduated. The current land cover map of the area was developed from a scanned survey map of the rice growing areas. According to the present land cover map, the rice cultivated area was 13,369 ha. Finally, we overlaid the land cover map with the suitability map to identify variances between the present and potential land use. The crop-land evaluation results of the present study showed that, 75% of total area currently being used was under highly suitable areas and 25% was under moderately suitable areas. The results showed that the potential area for rice growing is 86,364 ha and out of this only 12% is under rice cultivation. This research provided information at local level that could be used by farmers to select cropping patterns and suitability. |
format | Online Article Text |
id | pubmed-3717158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-37171582013-07-23 Suitability analysis for rice growing sites using a multicriteria evaluation and GIS approach in great Mwea region, Kenya Kihoro, Joseph Bosco, Njoroge J Murage, Hunja Springerplus Research Land suitability analysis is a prerequisite to achieving optimum utilization of the available land resources. Lack of knowledge on best combination of factors that suit production of rice has contributed to the low production. The aim of this study was to develop a suitability map for rice crop based on physical and climatic factors of production using a Multi-Criteria Evaluation (MCE) & GIS approach. The study was carried out in Kirinyaga, Embu and Mberee counties in Kenya. Biophysical variables of soil, climate and topography were considered for suitability analysis. All data were stored in ArcGIS 9.3 environment and the factor maps were generated. For MCE, Pairwise Comparison Matrix was applied and the suitable areas for rice crop were generated and graduated. The current land cover map of the area was developed from a scanned survey map of the rice growing areas. According to the present land cover map, the rice cultivated area was 13,369 ha. Finally, we overlaid the land cover map with the suitability map to identify variances between the present and potential land use. The crop-land evaluation results of the present study showed that, 75% of total area currently being used was under highly suitable areas and 25% was under moderately suitable areas. The results showed that the potential area for rice growing is 86,364 ha and out of this only 12% is under rice cultivation. This research provided information at local level that could be used by farmers to select cropping patterns and suitability. Springer International Publishing 2013-06-17 /pmc/articles/PMC3717158/ /pubmed/23888264 http://dx.doi.org/10.1186/2193-1801-2-265 Text en © Kihoro et al.; licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Kihoro, Joseph Bosco, Njoroge J Murage, Hunja Suitability analysis for rice growing sites using a multicriteria evaluation and GIS approach in great Mwea region, Kenya |
title | Suitability analysis for rice growing sites using a multicriteria evaluation and GIS approach in great Mwea region, Kenya |
title_full | Suitability analysis for rice growing sites using a multicriteria evaluation and GIS approach in great Mwea region, Kenya |
title_fullStr | Suitability analysis for rice growing sites using a multicriteria evaluation and GIS approach in great Mwea region, Kenya |
title_full_unstemmed | Suitability analysis for rice growing sites using a multicriteria evaluation and GIS approach in great Mwea region, Kenya |
title_short | Suitability analysis for rice growing sites using a multicriteria evaluation and GIS approach in great Mwea region, Kenya |
title_sort | suitability analysis for rice growing sites using a multicriteria evaluation and gis approach in great mwea region, kenya |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3717158/ https://www.ncbi.nlm.nih.gov/pubmed/23888264 http://dx.doi.org/10.1186/2193-1801-2-265 |
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