Optimizing soil erosion estimates of RUSLE model by analyzing land use/cover dynamics in upper Awash River Basin, Central Ethiopia

AbstractThe Revised Universal Soil Loss Equation (RUSLE) is the most widely used erosion model for decision making on conservation priority. However, interpreting estimates of the mean annual soil loss alone could not accurately depict the spatial variation of soil erosion severity due to its inhere...

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Main Authors: Eyasu Mekonnen, Asfaw Kebede, Solomon Asfaw, Samuel Feyissa
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2023.2257363
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author Eyasu Mekonnen
Asfaw Kebede
Solomon Asfaw
Samuel Feyissa
author_facet Eyasu Mekonnen
Asfaw Kebede
Solomon Asfaw
Samuel Feyissa
author_sort Eyasu Mekonnen
collection DOAJ
description AbstractThe Revised Universal Soil Loss Equation (RUSLE) is the most widely used erosion model for decision making on conservation priority. However, interpreting estimates of the mean annual soil loss alone could not accurately depict the spatial variation of soil erosion severity due to its inherent mathematical errors. This study aims to optimize the model’s outputs through detailed analysis of land use/cover dynamics in Upper Awash River Basin, central Ethiopia (7815.1 km2). The analysis include annual rate of change, net gain or loss, and conversion pathways. Results of the estimated mean annual soil loss in the basin varies between 4.1 t/ha/y and 5.1 t/ha/y during three consecutive decades (1990-2000, 2000-2010, and 2010-2020). The cultivated land cover exhibits slight erosion severity (< 5 t/ha/y), while contributing up to 59% the total annual soil loss (3198.8 Mt/ha). Although the net loss of cultivated land cover outweighing the gain during these decades, it progressively encroaches forests (142.2 km2), shrubs (780.8 km2), and grasslands (274.5 km2). Such net loss of protective land covers will inevitably increase the soil erosion risk. Findings from the study would be useful, enabling conservation practitioners to understand the overall severity of soil erosion and make informed decisions.
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spelling doaj.art-d58dc23f40574e7f8c6b4fa6399913e22023-12-16T08:49:46ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132023-12-0114110.1080/19475705.2023.2257363Optimizing soil erosion estimates of RUSLE model by analyzing land use/cover dynamics in upper Awash River Basin, Central EthiopiaEyasu Mekonnen0Asfaw Kebede1Solomon Asfaw2Samuel Feyissa3Africa Center of Excellence for Climate Smart Agriculture and Biodiversity Conservation, Haramaya University, Dire Dawa, EthiopiaSchool of Hydrology and Water Resource Engineering, Institute of Technology, Haramaya University, Dire Dawa, EthiopiaSchool of Geography and Environmental Studies, Haramaya University, Dire Dawa, EthiopiaSchool of Natural Resource Management and Environmental Sciences, Haramaya University, Dire Dawa, EthiopiaAbstractThe Revised Universal Soil Loss Equation (RUSLE) is the most widely used erosion model for decision making on conservation priority. However, interpreting estimates of the mean annual soil loss alone could not accurately depict the spatial variation of soil erosion severity due to its inherent mathematical errors. This study aims to optimize the model’s outputs through detailed analysis of land use/cover dynamics in Upper Awash River Basin, central Ethiopia (7815.1 km2). The analysis include annual rate of change, net gain or loss, and conversion pathways. Results of the estimated mean annual soil loss in the basin varies between 4.1 t/ha/y and 5.1 t/ha/y during three consecutive decades (1990-2000, 2000-2010, and 2010-2020). The cultivated land cover exhibits slight erosion severity (< 5 t/ha/y), while contributing up to 59% the total annual soil loss (3198.8 Mt/ha). Although the net loss of cultivated land cover outweighing the gain during these decades, it progressively encroaches forests (142.2 km2), shrubs (780.8 km2), and grasslands (274.5 km2). Such net loss of protective land covers will inevitably increase the soil erosion risk. Findings from the study would be useful, enabling conservation practitioners to understand the overall severity of soil erosion and make informed decisions.https://www.tandfonline.com/doi/10.1080/19475705.2023.2257363The RUSLE modeloptimizemean annual soil losserosion severityland use/coverUpper Awash River Basin
spellingShingle Eyasu Mekonnen
Asfaw Kebede
Solomon Asfaw
Samuel Feyissa
Optimizing soil erosion estimates of RUSLE model by analyzing land use/cover dynamics in upper Awash River Basin, Central Ethiopia
Geomatics, Natural Hazards & Risk
The RUSLE model
optimize
mean annual soil loss
erosion severity
land use/cover
Upper Awash River Basin
title Optimizing soil erosion estimates of RUSLE model by analyzing land use/cover dynamics in upper Awash River Basin, Central Ethiopia
title_full Optimizing soil erosion estimates of RUSLE model by analyzing land use/cover dynamics in upper Awash River Basin, Central Ethiopia
title_fullStr Optimizing soil erosion estimates of RUSLE model by analyzing land use/cover dynamics in upper Awash River Basin, Central Ethiopia
title_full_unstemmed Optimizing soil erosion estimates of RUSLE model by analyzing land use/cover dynamics in upper Awash River Basin, Central Ethiopia
title_short Optimizing soil erosion estimates of RUSLE model by analyzing land use/cover dynamics in upper Awash River Basin, Central Ethiopia
title_sort optimizing soil erosion estimates of rusle model by analyzing land use cover dynamics in upper awash river basin central ethiopia
topic The RUSLE model
optimize
mean annual soil loss
erosion severity
land use/cover
Upper Awash River Basin
url https://www.tandfonline.com/doi/10.1080/19475705.2023.2257363
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