Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia

The impact of land-use land-cover (LULC) change on soil resources is getting global attention. Soil erosion is one of the critical environmental problems worldwide with high severity in developing countries. This study integrates the Revised Universal Soil Loss Equation model with a geographic infor...

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Autores principales:	Mitiku Badasa Moisa, Daniel Assefa Negash, Biratu Bobo Merga, Dessalegn Obsi Gemeda
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	gis lulc remote sensing rusle soil loss Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/aff48d0e47244709891d088c7c6919bc
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spelling	oai:doaj.org-article:aff48d0e47244709891d088c7c6919bc2021-11-10T00:00:09ZImpact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia2040-22442408-935410.2166/wcc.2021.131https://doaj.org/article/aff48d0e47244709891d088c7c6919bc2021-11-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/7/3404https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354The impact of land-use land-cover (LULC) change on soil resources is getting global attention. Soil erosion is one of the critical environmental problems worldwide with high severity in developing countries. This study integrates the Revised Universal Soil Loss Equation model with a geographic information system to estimate the impacts of LULC conversion on the mean annual soil loss in the Temeji watershed. In this study, LULC change of Temeji watershed was assessed from 2000 to 2020 by using 2000 Landsat ETM+ and 2020 Landsat OLI/TIRS images and classified using supervised maximum likelihood classification algorithms. Results indicate that the majority of the LULC in the study area is vulnerable to soil erosion. High soil loss is observed when grassland and forest land were converted into cultivated land with a mean soil loss of 88.8 and 86.9 t/ha/year in 2020. Results revealed that about 6,608.5 ha (42.8%) and 8,391.8 ha (54.4%) were categorized under severe classes in 2000 and 2020, respectively. Accordingly, the soil loss severity class is directly correlated with the over-exploitation of forest resources and grasslands for agricultural purposes. These results can be useful for advocacy to enhance local people and stakeholder's participation toward soil and water conservation practices. HIGHLIGHTS The integration of the Revised Universal Soil Loss Equation model and geographic information system is highly applicable to estimate the impacts of LULC conversion on the mean annual soil loss.; LULC and topography are the main key factors that influence soil erosion in the highland areas.; Agricultural encroachment to forest and grassland is the major factor that aggravates soil erosion.; There is a direct relationship between slope length and erosion rate.;Mitiku Badasa MoisaDaniel Assefa NegashBiratu Bobo MergaDessalegn Obsi GemedaIWA Publishingarticlegislulcremote sensingruslesoil lossEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 7, Pp 3404-3420 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gis lulc remote sensing rusle soil loss Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
spellingShingle	gis lulc remote sensing rusle soil loss Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Mitiku Badasa Moisa Daniel Assefa Negash Biratu Bobo Merga Dessalegn Obsi Gemeda Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia
description	The impact of land-use land-cover (LULC) change on soil resources is getting global attention. Soil erosion is one of the critical environmental problems worldwide with high severity in developing countries. This study integrates the Revised Universal Soil Loss Equation model with a geographic information system to estimate the impacts of LULC conversion on the mean annual soil loss in the Temeji watershed. In this study, LULC change of Temeji watershed was assessed from 2000 to 2020 by using 2000 Landsat ETM+ and 2020 Landsat OLI/TIRS images and classified using supervised maximum likelihood classification algorithms. Results indicate that the majority of the LULC in the study area is vulnerable to soil erosion. High soil loss is observed when grassland and forest land were converted into cultivated land with a mean soil loss of 88.8 and 86.9 t/ha/year in 2020. Results revealed that about 6,608.5 ha (42.8%) and 8,391.8 ha (54.4%) were categorized under severe classes in 2000 and 2020, respectively. Accordingly, the soil loss severity class is directly correlated with the over-exploitation of forest resources and grasslands for agricultural purposes. These results can be useful for advocacy to enhance local people and stakeholder's participation toward soil and water conservation practices. HIGHLIGHTS The integration of the Revised Universal Soil Loss Equation model and geographic information system is highly applicable to estimate the impacts of LULC conversion on the mean annual soil loss.; LULC and topography are the main key factors that influence soil erosion in the highland areas.; Agricultural encroachment to forest and grassland is the major factor that aggravates soil erosion.; There is a direct relationship between slope length and erosion rate.;
format	article
author	Mitiku Badasa Moisa Daniel Assefa Negash Biratu Bobo Merga Dessalegn Obsi Gemeda
author_facet	Mitiku Badasa Moisa Daniel Assefa Negash Biratu Bobo Merga Dessalegn Obsi Gemeda
author_sort	Mitiku Badasa Moisa
title	Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia
title_short	Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia
title_full	Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia
title_fullStr	Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia
title_full_unstemmed	Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia
title_sort	impact of land-use and land-cover change on soil erosion using the rusle model and the geographic information system: a case of temeji watershed, western ethiopia
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/aff48d0e47244709891d088c7c6919bc
work_keys_str_mv	AT mitikubadasamoisa impactoflanduseandlandcoverchangeonsoilerosionusingtheruslemodelandthegeographicinformationsystemacaseoftemejiwatershedwesternethiopia AT danielassefanegash impactoflanduseandlandcoverchangeonsoilerosionusingtheruslemodelandthegeographicinformationsystemacaseoftemejiwatershedwesternethiopia AT biratubobomerga impactoflanduseandlandcoverchangeonsoilerosionusingtheruslemodelandthegeographicinformationsystemacaseoftemejiwatershedwesternethiopia AT dessalegnobsigemeda impactoflanduseandlandcoverchangeonsoilerosionusingtheruslemodelandthegeographicinformationsystemacaseoftemejiwatershedwesternethiopia
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Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia

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