Simulation study reveals rising rainfall erosivity across a tropical watershed under CMIP6 scenarios, highlighting significant climate model uncertainty in future soil loss risk.
Soil erosion in humid tropical watersheds is strongly influenced by rainfall variability, while uncertainty in future climate projections complicates the assessment of climate-related erosion risk. This study evaluates climate-driven changes in rainfall-derived soil erosion sensitivity in the Hulu Selangor Basin, Malaysia, using a GIS-based Revised Universal Soil Loss Equation (RUSLE) framework coupled with three CMIP6 climate models under SSP2-4.5 and SSP5-8.5. Historical rainfall observations from 2001 to 2020 were used to establish baseline conditions, while future precipitation projections covered 2021–2060. The historical basin exhibited predominantly very low erosion sensitivity, with 89.5% of the area classified as very low, 7.8% as low, 1.2% as moderate, 0.6% as high and 0.9% as very high, with a mean annual soil loss of 15.89 ton/ha/yr. The historical mean rainfall-derived R factor was 17,183.47 MJ·mm/h/ha/yr. Validation results showed that BCC-CSM2-MR provided the lowest rainfall bias and error among the three models. Future projections exhibited substantial inter-model uncertainty: the ensemble mean R increased by 6.0% under SSP2-4.5 during 2021–2040 and by 5.9% during 2041–2060, while SSP5-8.5 produced changes of 0.1% and 6.7%, respectively, relative to the historical mean. MIROC-ES2L generally produced the upper end of the projected erosivity range. These results demonstrate that climate-model uncertainty is an important consideration in assessing future rainfall-driven erosion sensitivity in humid tropical watersheds.
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Chong et al. (2026) studied this question.
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