Identifying investment priority areas for soil conservation in the Winike watershed, upper Omo Gibe Basin of Ethiopia

• AHP modeling and InVEST modeling were used to analyze the data. • The eastern part of the watershed is more vulnerable to soil erosion. • A very high vulnerability to soil erosion accounted for 9.91% • Rainfall (26%) is significantly affected the vulnerability of soil erosion. • Insignificant variation of soil erosion vulnerability between AHP and InVEST models. Sustainable land management is necessary for soil erosion control, vegetation recovery, and land restoration. This study was conducted to identify the soil erosion susceptibility areas in the Winike watershed, upper Omo Gibe Basin of Ethiopia. Analytic Hierarchy Process (AHP) and InVEST modeling combined with GIS were used to generate primary data on soil erosion severity. Land use types, slope, elevation, NDVI, rainfall, drainage density, and soil types were important variables analyzed for soil erosion rate determination. The result shows a significant variation in soil erosion vulnerability among sub-watersheds ranging from low to very high vulnerability. The watershed’s very highly vulnerable eastern part accounts for 108.23 km 2 (9.91 %) due to lacks vegetation cover, while the less vulnerable to the western part covers 179.66 km 2 (16.46 %). Analysis of the Geo-environmental parameters shows that rainfall (26 %) is the most significant influencing factor, followed by vegetation cover (i.e., land use types), explaining about 23 % of the erosion severity. Comparing soil erosion vulnerability using the AHP and InVEST SDR models was 14.01 % and 16 %, respectively, suggesting insignificant variation between the erosion vulnerability analysis models. The study emphasizes the usefulness of erosion vulnerability modeling for identifying investment priority areas based on soil erosion status for soil conservation intervention, offering a range of decision-making options for land management.

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Publication Details

Journal
Watershed Ecology and the Environment
Published
2025-01-01
DOI
https://doi.org/10.1016/j.wsee.2025.05.008
Citations
1
Primary Topic
Rangeland Management and Livestock Ecology
Type
article
Field-Weighted Citation Impact
2.42
Controls
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article

Identifying investment priority areas for soil conservation in the Winike watershed, upper Omo Gibe Basin of Ethiopia

Eyasu Elias, Abreham Berta Aneseyee, Teshome Sorromessa
1 citations
Watershed Ecology and the Environment
Rangeland Management and Livestock Ecology
2.42
article

Identifying investment priority areas for soil conservation in the Winike watershed, upper Omo Gibe Basin of Ethiopia

Eyasu Elias, Abreham Berta Aneseyee, Teshome Sorromessa
article en
1 citations

Abstract

• AHP modeling and InVEST modeling were used to analyze the data. • The eastern part of the watershed is more vulnerable to soil erosion. • A very high vulnerability to soil erosion accounted for 9.91% • Rainfall (26%) is significantly affected the vulnerability of soil erosion. • Insignificant variation of soil erosion vulnerability between AHP and InVEST models. Sustainable land management is necessary for soil erosion control, vegetation recovery, and land restoration. This study was conducted to identify the soil erosion susceptibility areas in the Winike watershed, upper Omo Gibe Basin of Ethiopia. Analytic Hierarchy Process (AHP) and InVEST modeling combined with GIS were used to generate primary data on soil erosion severity. Land use types, slope, elevation, NDVI, rainfall, drainage density, and soil types were important variables analyzed for soil erosion rate determination. The result shows a significant variation in soil erosion vulnerability among sub-watersheds ranging from low to very high vulnerability. The watershed’s very highly vulnerable eastern part accounts for 108.23 km 2 (9.91 %) due to lacks vegetation cover, while the less vulnerable to the western part covers 179.66 km 2 (16.46 %). Analysis of the Geo-environmental parameters shows that rainfall (26 %) is the most significant influencing factor, followed by vegetation cover (i.e., land use types), explaining about 23 % of the erosion severity. Comparing soil erosion vulnerability using the AHP and InVEST SDR models was 14.01 % and 16 %, respectively, suggesting insignificant variation between the erosion vulnerability analysis models. The study emphasizes the usefulness of erosion vulnerability modeling for identifying investment priority areas based on soil erosion status for soil conservation intervention, offering a range of decision-making options for land management.

Watershed Ecology and the EnvironmentVol. 7
Wolkite University (ET), Addis Ababa University (ET)
Life in Land
Openalex Percentile: Top 12%
Rangeland Management and Livestock Ecology
2.42
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