What question did this study set out to answer?

This study aims to assess soil loss and sediment yield distribution while identifying erosion-prone areas in a semi-arid mountainous region.

RUSLE/SDR-based identification of critical erosion zones and sediment yield in semi-arid dam reservoirs: a case study from the high Atlas Mountains, Morocco

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Randomized trial evaluates critical erosion zones and sediment yield in semi-arid reservoirs, suggesting effective soil management strategies.

This study aims to assess soil loss and sediment yield distribution while identifying erosion-prone areas in a semi-arid mountainous region.
Applied Revised Universal Soil Loss Equation (RUSLE) combined with Sediment Delivery Ratio (SDR).
Utilized Google Earth Engine (GEE) and Geographic Information System (GIS) for spatial analysis.
Validated model performance using ROC analysis based on field observations and bathymetric survey data.
R and LS factors, followed by the C factor, were found to significantly contribute to soil erosion.
Critical erosion-prone areas represented 66.35% and 67.96% of total surface areas in the N’fis and Assif el-Mal watersheds, respectively.
Soil loss rates in identified high-risk zones exceeded 10 t/ha/yr, demonstrating the RUSLE model's reliability in this context.

Abidare et al. (2026) studied this question.

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Randomized trial evaluates critical erosion zones and sediment yield in semi-arid reservoirs, suggesting effective soil management strategies.