Predictions of land use/land cover change, drivers, and their implications on water availability for irrigation in the Vea catchment, Ghana
Assessment and prediction of land use/land cover change using spatiotemporal data are of great importance for better environmental monitoring, land use planning, and management. Therefore, the objective of this study is to predict LULC change, its driving factors and impact on water availability for...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10106049.2023.2243093 |
| _version_ | 1797681608851980288 |
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| author | Gemechu Fufa Arfasa Ebenezer Owusu-Sekyere Dzigbodi Adzo Doke |
| author_facet | Gemechu Fufa Arfasa Ebenezer Owusu-Sekyere Dzigbodi Adzo Doke |
| author_sort | Gemechu Fufa Arfasa |
| collection | DOAJ |
| description | Assessment and prediction of land use/land cover change using spatiotemporal data are of great importance for better environmental monitoring, land use planning, and management. Therefore, the objective of this study is to predict LULC change, its driving factors and impact on water availability for irrigation in the Vea catchment, Ghana. CA-Markov model was used to predict land-use changes in 2038 and 2054. Terrset geospatial monitoring and modeling system software was used to run the model. The Relative Importance Index was used to identify major drivers of the LULC change. The results showed an increase in cropland from 181 km2 in 2038 to 183 km2 in 2054 at the expense of grassland and mixed vegetation/forest, which are expected to decrease from 51–50 km2 and 73–71 km2, respectively. Population growth and agricultural expansion are among the leading drivers of LULC change in the Vea catchment. The CA-Markov model shows a continued increase in anthropogenic land uses, negatively affecting irrigation water availability and landscape sustainability. These results provide a foundation for sustainable land use governance through responsible planning and management of land and water resources by considering trade-offs between LULC change and water availability for irrigation in the Vea catchment. |
| first_indexed | 2024-03-11T23:47:24Z |
| format | Article |
| id | doaj.art-cc11b6e27c4a4227b7e2ff6595e77b23 |
| institution | Directory Open Access Journal |
| issn | 1010-6049 1752-0762 |
| language | English |
| last_indexed | 2024-03-11T23:47:24Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj.art-cc11b6e27c4a4227b7e2ff6595e77b232023-09-19T09:13:18ZengTaylor & Francis GroupGeocarto International1010-60491752-07622023-12-0138110.1080/10106049.2023.22430932243093Predictions of land use/land cover change, drivers, and their implications on water availability for irrigation in the Vea catchment, GhanaGemechu Fufa Arfasa0Ebenezer Owusu-Sekyere1Dzigbodi Adzo Doke2Department of Natural Resource Management, Wolaita Sodo UniversityFaculty of Natural Resources and Environment, Department of Environment and Sustainability Sciences, University for Development StudiesFaculty of Natural Resources and Environment, Department of Environment and Sustainability Sciences, University for Development StudiesAssessment and prediction of land use/land cover change using spatiotemporal data are of great importance for better environmental monitoring, land use planning, and management. Therefore, the objective of this study is to predict LULC change, its driving factors and impact on water availability for irrigation in the Vea catchment, Ghana. CA-Markov model was used to predict land-use changes in 2038 and 2054. Terrset geospatial monitoring and modeling system software was used to run the model. The Relative Importance Index was used to identify major drivers of the LULC change. The results showed an increase in cropland from 181 km2 in 2038 to 183 km2 in 2054 at the expense of grassland and mixed vegetation/forest, which are expected to decrease from 51–50 km2 and 73–71 km2, respectively. Population growth and agricultural expansion are among the leading drivers of LULC change in the Vea catchment. The CA-Markov model shows a continued increase in anthropogenic land uses, negatively affecting irrigation water availability and landscape sustainability. These results provide a foundation for sustainable land use governance through responsible planning and management of land and water resources by considering trade-offs between LULC change and water availability for irrigation in the Vea catchment.http://dx.doi.org/10.1080/10106049.2023.2243093ca-markov modelghanaland use/land coverland change modelervea catchment |
| spellingShingle | Gemechu Fufa Arfasa Ebenezer Owusu-Sekyere Dzigbodi Adzo Doke Predictions of land use/land cover change, drivers, and their implications on water availability for irrigation in the Vea catchment, Ghana Geocarto International ca-markov model ghana land use/land cover land change modeler vea catchment |
| title | Predictions of land use/land cover change, drivers, and their implications on water availability for irrigation in the Vea catchment, Ghana |
| title_full | Predictions of land use/land cover change, drivers, and their implications on water availability for irrigation in the Vea catchment, Ghana |
| title_fullStr | Predictions of land use/land cover change, drivers, and their implications on water availability for irrigation in the Vea catchment, Ghana |
| title_full_unstemmed | Predictions of land use/land cover change, drivers, and their implications on water availability for irrigation in the Vea catchment, Ghana |
| title_short | Predictions of land use/land cover change, drivers, and their implications on water availability for irrigation in the Vea catchment, Ghana |
| title_sort | predictions of land use land cover change drivers and their implications on water availability for irrigation in the vea catchment ghana |
| topic | ca-markov model ghana land use/land cover land change modeler vea catchment |
| url | http://dx.doi.org/10.1080/10106049.2023.2243093 |
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