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This study aims to analyze the dynamics of soil erosion and identify driving factors on the Loess Plateau from 1990 to 2024.

June 20, 2026Remote SensingOpen Access

Coupling RUSLE with Spatial Econometrics: A 35-Year Assessment of Soil Erosion Dynamics and Driving Factors on the Loess Plateau, China (1990–2024)

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Randomized trial explores soil erosion dynamics in the Loess Plateau, indicating the need for targeted conservation strategies.

This study aims to analyze the dynamics of soil erosion and identify driving factors on the Loess Plateau from 1990 to 2024.
Coupled the Revised Universal Soil Loss Equation (RUSLE) with the Spatial Durbin Model (SDM) for analysis.
Investigated spatiotemporal dynamics and spatial dependence mechanisms of soil erosion at the county level.
Analyzed data over a 35-year period (1990-2024)
Annual average erosion rate decreased by 15.5% since 2001.
Land cover (C) was identified as the strongest erosion-reducing factor, while annual precipitation (PRE) enhanced erosion.
Significant positive spatial dependence was observed, indicating localized effects of human interventions.

Liang et al. (2026) studied this question.

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