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

Abstract

The 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.

Keywords:

• The RUSLE model
• optimize
• mean annual soil loss
• erosion severity
• land use/cover
• Upper Awash River Basin

Data availability statement

The datasets and materials supporting the results or analyses presented in this paper are available upon request.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study was funded by the World Bank Group, through Africa Center of Excellence for Climate Smart Agriculture and Biodiversity Conservation, Haramaya University (Ethiopia).