Dynamics of soil conservation service supply-demand coordination and its driving factors in China

Soil conservation service (SCS) is critical for maintaining ecological security and achieving sustainable development goals. As China implements ambitious national soil conservation policies, including the “Overall Plan for Major Projects of National Important Ecosystem Protection and Restoration (2021–2035)”, scientifically evaluating the coordination between SCS supply and demand is essential for optimizing resource allocation across diverse landscapes. This study applied an evaluation framework integrating the revised universal soil loss equation (RUSLE), a coupling coordination degree (CCD) model, and an elasticity coefficient method to analyze supply-demand relationships across China from 1990 to 2019, and constructed a coupling patterns indicator to classify the spatiotemporal dynamics of SCS supply and CCD. Results show that national SCS supply increased by 16.1% while demand rose by 22.6% from the 1990s to the 2010s. Approximately 32% of China's area, identified as hotspot regions (HRs), contributed 94.1% of the national supply increase and 82.1% of the demand increase. Within HRs, average CCD improved from 0.55 to 0.58, with “moderate balance” areas expanding from 30.8% to 39.4%. Coupling patterns analysis revealed that 61.5% of HRs exhibited simultaneous increases in both SCS supply and CCD, while 15.5% displayed increased supply but decreased CCD. Elasticity coefficient analysis identified that rainfall erosivity dominated CCD changes in 66.3% of HRs, whereas vegetation cover and management dominated in 33.7%. These findings provide a scientific foundation for implementing China's differentiated soil conservation policies, demonstrating that supply-side improvements alone are insufficient without integrated demand management, and offering region-specific guidance for prioritizing vegetation restoration in C-factor-dominated areas and climate adaptation in R-factor-dominated regions. • Integrated RUSLE-CCD framework assesses soil conservation coordination across China. • Coupling patterns reveal supply increases don't guarantee coordination improvement. • Elasticity method quantifies rainfall vs. human contributions to coordination shifts. • Rainfall and vegetation drive coordination changes in 66.3% and 33.7% of hotspot regions.

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Publication Details

Journal
Ecological Indicators
Published
2026-03-28
DOI
https://doi.org/10.1016/j.ecolind.2026.114811
Primary Topic
Water Resources and Sustainability
Type
article
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article

Dynamics of soil conservation service supply-demand coordination and its driving factors in China

Jialei Li, Muqi Xiong, Ranhao Sun, Youcun Qi
Ecological Indicators
Water Resources and Sustainability
article

Dynamics of soil conservation service supply-demand coordination and its driving factors in China

Jialei Li, Muqi Xiong, Ranhao Sun, Youcun Qi
article en

Abstract

Soil conservation service (SCS) is critical for maintaining ecological security and achieving sustainable development goals. As China implements ambitious national soil conservation policies, including the “Overall Plan for Major Projects of National Important Ecosystem Protection and Restoration (2021–2035)”, scientifically evaluating the coordination between SCS supply and demand is essential for optimizing resource allocation across diverse landscapes. This study applied an evaluation framework integrating the revised universal soil loss equation (RUSLE), a coupling coordination degree (CCD) model, and an elasticity coefficient method to analyze supply-demand relationships across China from 1990 to 2019, and constructed a coupling patterns indicator to classify the spatiotemporal dynamics of SCS supply and CCD. Results show that national SCS supply increased by 16.1% while demand rose by 22.6% from the 1990s to the 2010s. Approximately 32% of China's area, identified as hotspot regions (HRs), contributed 94.1% of the national supply increase and 82.1% of the demand increase. Within HRs, average CCD improved from 0.55 to 0.58, with “moderate balance” areas expanding from 30.8% to 39.4%. Coupling patterns analysis revealed that 61.5% of HRs exhibited simultaneous increases in both SCS supply and CCD, while 15.5% displayed increased supply but decreased CCD. Elasticity coefficient analysis identified that rainfall erosivity dominated CCD changes in 66.3% of HRs, whereas vegetation cover and management dominated in 33.7%. These findings provide a scientific foundation for implementing China's differentiated soil conservation policies, demonstrating that supply-side improvements alone are insufficient without integrated demand management, and offering region-specific guidance for prioritizing vegetation restoration in C-factor-dominated areas and climate adaptation in R-factor-dominated regions. • Integrated RUSLE-CCD framework assesses soil conservation coordination across China. • Coupling patterns reveal supply increases don't guarantee coordination improvement. • Elasticity method quantifies rainfall vs. human contributions to coordination shifts. • Rainfall and vegetation drive coordination changes in 66.3% and 33.7% of hotspot regions.

Ecological IndicatorsVol. 185
Chinese Academy of Sciences (CN), Ministry of Ecology and Environment (CN), Research Center for Eco-Environmental Sciences (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN)
Life in Land
Openalex Percentile: Top 5%
Water Resources and Sustainability
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