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Trend analysis, past dynamics and future prediction of land use and land cover change in upper Wabe-Shebele river basin

A growing population has led to extensive farming at the expense of a natural environment. Changes in land use and cover have caused land degradation, and problematic groundwater recharge. The objective of this study was to evaluate the historical trend, simulations, and predictions of land use land...

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Autores principales: Beshir, Siraj, Moges, Awdenegest, Dananto, Mihret
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472002/
https://www.ncbi.nlm.nih.gov/pubmed/37662774
http://dx.doi.org/10.1016/j.heliyon.2023.e19128
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author Beshir, Siraj
Moges, Awdenegest
Dananto, Mihret
author_facet Beshir, Siraj
Moges, Awdenegest
Dananto, Mihret
author_sort Beshir, Siraj
collection PubMed
description A growing population has led to extensive farming at the expense of a natural environment. Changes in land use and cover have caused land degradation, and problematic groundwater recharge. The objective of this study was to evaluate the historical trend, simulations, and predictions of land use land cover change in the Upper Wabe-Shebele River Basin. The study accounted for 1992, 2007 and 2022 as well as it will predict the change for 2037 and 2052. Landsat TM for 1992, ETM + for 2007, and Landsat-8 OLI for 2022 were used. In QGIS 3.16, the maximum likelihood method was utilized for supervised image classification. Using CA-Markov and the Land Change Modeler land use and land cover change for 2037 and 2052 were predicted. Validity and accuracy of the model was evaluated using actual and predicted land use and land cover changes of 2022. Topography, proximity to a town, stream, roads, and population density were used as input for the model. The results showed that between 1992 and 2007, cultivated land increased by 17.07% on average at a rate of 1.05%, while settlement increased by 17.51% at a rate of 1.08% per year. Agricultural and settlement land increased by 22.97% and 30.12%, respectively. Between 1992 and 2022, the transition area matrix showed 2,330.25 and 1,145.77 km(2) of forest and grazing land were changed to settlement and cultivated land, respectively. Meanwhile, from 2022 to 2037, the quantity of land used for cultivated, grazing, and settlement is predicted to increase by 0.19, 3.66, and 23.8% in order. For 2037 and 2052, settlement and cultivated land were increased by 1.3 and 7.32% respectively. Finally, since natural ecosystem had been significantly disturbed by change in the study area, comprehensive rehabilitation and management is demanded.
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spelling pubmed-104720022023-09-02 Trend analysis, past dynamics and future prediction of land use and land cover change in upper Wabe-Shebele river basin Beshir, Siraj Moges, Awdenegest Dananto, Mihret Heliyon Research Article A growing population has led to extensive farming at the expense of a natural environment. Changes in land use and cover have caused land degradation, and problematic groundwater recharge. The objective of this study was to evaluate the historical trend, simulations, and predictions of land use land cover change in the Upper Wabe-Shebele River Basin. The study accounted for 1992, 2007 and 2022 as well as it will predict the change for 2037 and 2052. Landsat TM for 1992, ETM + for 2007, and Landsat-8 OLI for 2022 were used. In QGIS 3.16, the maximum likelihood method was utilized for supervised image classification. Using CA-Markov and the Land Change Modeler land use and land cover change for 2037 and 2052 were predicted. Validity and accuracy of the model was evaluated using actual and predicted land use and land cover changes of 2022. Topography, proximity to a town, stream, roads, and population density were used as input for the model. The results showed that between 1992 and 2007, cultivated land increased by 17.07% on average at a rate of 1.05%, while settlement increased by 17.51% at a rate of 1.08% per year. Agricultural and settlement land increased by 22.97% and 30.12%, respectively. Between 1992 and 2022, the transition area matrix showed 2,330.25 and 1,145.77 km(2) of forest and grazing land were changed to settlement and cultivated land, respectively. Meanwhile, from 2022 to 2037, the quantity of land used for cultivated, grazing, and settlement is predicted to increase by 0.19, 3.66, and 23.8% in order. For 2037 and 2052, settlement and cultivated land were increased by 1.3 and 7.32% respectively. Finally, since natural ecosystem had been significantly disturbed by change in the study area, comprehensive rehabilitation and management is demanded. Elsevier 2023-08-19 /pmc/articles/PMC10472002/ /pubmed/37662774 http://dx.doi.org/10.1016/j.heliyon.2023.e19128 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Beshir, Siraj
Moges, Awdenegest
Dananto, Mihret
Trend analysis, past dynamics and future prediction of land use and land cover change in upper Wabe-Shebele river basin
title Trend analysis, past dynamics and future prediction of land use and land cover change in upper Wabe-Shebele river basin
title_full Trend analysis, past dynamics and future prediction of land use and land cover change in upper Wabe-Shebele river basin
title_fullStr Trend analysis, past dynamics and future prediction of land use and land cover change in upper Wabe-Shebele river basin
title_full_unstemmed Trend analysis, past dynamics and future prediction of land use and land cover change in upper Wabe-Shebele river basin
title_short Trend analysis, past dynamics and future prediction of land use and land cover change in upper Wabe-Shebele river basin
title_sort trend analysis, past dynamics and future prediction of land use and land cover change in upper wabe-shebele river basin
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472002/
https://www.ncbi.nlm.nih.gov/pubmed/37662774
http://dx.doi.org/10.1016/j.heliyon.2023.e19128
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