Climate-induced soil erosion sensitivity in a humid tropical watershed under multi-model CMIP6 projections

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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Publication Details

Journal
Scientific Reports
Published
2026-09-11
DOI
https://doi.org/10.1038/s41598-026-71514-1
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
0.00

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article

Climate-induced soil erosion sensitivity in a humid tropical watershed under multi-model CMIP6 projections

Ahmed El‐Shafie, Ren Jie Chin, Chai Hoon Koo, Kai Lun Chong et al.
Scientific Reports
Soil erosion and sediment transport
article

Climate-induced soil erosion sensitivity in a humid tropical watershed under multi-model CMIP6 projections

Ahmed El‐Shafie, Ren Jie Chin, Chai Hoon Koo, Kai Lun Chong, Eugene Zhen Xiang Soo, Cia Yik Ng, Ming Han Lim, Long Chen
article en

Abstract

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.

Scientific Reports
INTI International University (MY), Universiti of Malaysia Sabah (MY), United Arab Emirates University (AE), University of Malaya (MY), Changsha University of Science and Technology (CN), Universiti Tunku Abdul Rahman (MY)
Universiti Tunku Abdul Rahman, Ministry of Higher Education, Malaysia
Climate action
Openalex Percentile: Top 14%
Soil erosion and sediment transport
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