Soil Erosion Dynamics and Driving Force Identification in the Yiluo River Basin Under Multiple Future Scenarios

Our study focused on identifying the evolution of soil erosion and its key drivers under multiple future scenarios in the Yiluo River Basin. Integrating the Universal Soil Loss Equation (USLE), future land use and vegetation cover simulation methods, and the Geodetector model, we analyzed historical soil erosion trends (2000–2020), projected future soil erosion risks under multiple Shared Socioeconomic Pathways (SSPs), and quantified the interactive effects of key driving factors. The results showed that soil erosion within the basin exhibited moderate intensity. Over the past 20 years, soil erosion decreased by 28.78%, with 76.29% of the area experiencing reduced erosion intensity. Future projections indicated an overall declining trend in soil erosion, showing reductions of 4.93–35.95% compared to baseline levels. However, heterogeneous patterns emerged across various scenarios, with the highest risk observed under SSP585. Land use type was identified as the core driving factor behind soil erosion (explanatory capacity q-value > 5%). Under diverse future climate scenarios, interactions between land use type and precipitation and temperature exhibited high sensitivity, highlighting the critical regulatory role of climate change in regulating erosion processes. This research provides a scientific foundation for the precise prevention and adaptive management of soil erosion in the Loess Plateau region.

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Publication Details

Journal
Water
Published
2025-07-20
DOI
https://doi.org/10.3390/w17142157
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
0.00

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article

Soil Erosion Dynamics and Driving Force Identification in the Yiluo River Basin Under Multiple Future Scenarios

Yong Ming Hu, Xiaofeng Chen, Jianwei Wang, Jun Hou et al.
Water
Soil erosion and sediment transport
article

Soil Erosion Dynamics and Driving Force Identification in the Yiluo River Basin Under Multiple Future Scenarios

Yong Ming Hu, Xiaofeng Chen, Jianwei Wang, Jun Hou, Guoqiang Dong
article en

Abstract

Our study focused on identifying the evolution of soil erosion and its key drivers under multiple future scenarios in the Yiluo River Basin. Integrating the Universal Soil Loss Equation (USLE), future land use and vegetation cover simulation methods, and the Geodetector model, we analyzed historical soil erosion trends (2000–2020), projected future soil erosion risks under multiple Shared Socioeconomic Pathways (SSPs), and quantified the interactive effects of key driving factors. The results showed that soil erosion within the basin exhibited moderate intensity. Over the past 20 years, soil erosion decreased by 28.78%, with 76.29% of the area experiencing reduced erosion intensity. Future projections indicated an overall declining trend in soil erosion, showing reductions of 4.93–35.95% compared to baseline levels. However, heterogeneous patterns emerged across various scenarios, with the highest risk observed under SSP585. Land use type was identified as the core driving factor behind soil erosion (explanatory capacity q-value > 5%). Under diverse future climate scenarios, interactions between land use type and precipitation and temperature exhibited high sensitivity, highlighting the critical regulatory role of climate change in regulating erosion processes. This research provides a scientific foundation for the precise prevention and adaptive management of soil erosion in the Loess Plateau region.

WaterVol. 17(14)
Anhui and Huaihe River Institute of Hydraulic Research (CN), Yellow River Institute of Hydraulic Research (CN), Anqing Normal University (CN)
Natural Science Foundation of Anhui Province
Openalex Percentile: Top 77%
Soil erosion and sediment transport
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Soil Erosion Dynamics and Driving Force Identification in the Yiluo River Basin Under Multiple Future Scenarios — Yong Ming Hu, Xiaofeng Chen, et al. · Water (2025) | TGRS Research Map | TGRS