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Article

Spatiotemporal Evolution and Driving Mechanisms of Composite Ecological Sensitivity in the Western Sichuan Plateau, China Based on Multi-Process Coupling Mechanisms

1
College of Geography and Resources Science, Sichuan Normal University, Chengdu 610000, China
2
Key Laboratory of Southwest Land Resources Evaluation and Monitoring, Ministry of Education, Sichuan Normal University, Chengdu 610000, China
*
Author to whom correspondence should be addressed.
Sustainability 2025, 17(11), 4941; https://doi.org/10.3390/su17114941
Submission received: 30 April 2025 / Revised: 15 May 2025 / Accepted: 16 May 2025 / Published: 28 May 2025

Abstract

The Western Sichuan Plateau, an ecologically critical transition zone between the Qinghai–Tibet Plateau and the Sichuan Basin, is also a typical fragile and sensitive area in China’s ecological security. This study established a multi-process evaluation model using the Spatial Distance Index Method, integrating cluster analysis, Sen–Mann–Kendall trend detection, and OWA-based scenario simulations to assess composite ecological sensitivity dynamics. The optimal geodetector was further applied to quantitatively determine the driving mechanisms underlying these sensitivity dynamics. The research showed the following findings: (1) From 2000 to 2020, the ecological environment of the Western Sichuan Plateau exhibited a phased pattern characterized by significant improvement, partial rebound, and overall stabilization. The composite ecological sensitivity grading index showed a declining trend, indicating a gradual reduction in ecological vulnerability. The effectiveness of ecological restoration projects became evident after 2010, with the area of medium- to high-sensitivity zones decreasing by 24.29% at the regional scale compared to the 2010 baseline. (2) The spatial pattern exhibited a gradient-decreasing characteristic from west to east. Scenario simulations under varying decision-making behaviors prioritized Jiuzhaigou, Xiaojin, Jinchuan, Danba, and Yajiang counties as ecologically critical. (3) Driving force analysis revealed a marked increase in the explanatory power of freeze-thaw erosion, with its q-value rising from 0.49 to 0.80. Moreover, its synergistic effect with landslide disasters spans 74.19% of county-level units. Dominant drivers ranked: annual temperature range (q = 0.32) > distance to faults (q = 0.17) > slope gradient (q = 0.16), revealing a geomorphic-climatic-tectonic interactive mechanism. This study provided methodological innovations and decision-making support for sustainable environmental development in plateau transitional zones.
Keywords: Western Sichuan Plateau; spatiotemporal evolution; multi-scenario simulation; optimal geographic detector Western Sichuan Plateau; spatiotemporal evolution; multi-scenario simulation; optimal geographic detector

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MDPI and ACS Style

Chen, D.; Zou, Y.; Zhu, J.; Wei, W.; Liang, D.; Zhang, W.; Cheng, W. Spatiotemporal Evolution and Driving Mechanisms of Composite Ecological Sensitivity in the Western Sichuan Plateau, China Based on Multi-Process Coupling Mechanisms. Sustainability 2025, 17, 4941. https://doi.org/10.3390/su17114941

AMA Style

Chen D, Zou Y, Zhu J, Wei W, Liang D, Zhang W, Cheng W. Spatiotemporal Evolution and Driving Mechanisms of Composite Ecological Sensitivity in the Western Sichuan Plateau, China Based on Multi-Process Coupling Mechanisms. Sustainability. 2025; 17(11):4941. https://doi.org/10.3390/su17114941

Chicago/Turabian Style

Chen, Defen, Yuchi Zou, Junjie Zhu, Wen Wei, Dan Liang, Weilai Zhang, and Wuxue Cheng. 2025. "Spatiotemporal Evolution and Driving Mechanisms of Composite Ecological Sensitivity in the Western Sichuan Plateau, China Based on Multi-Process Coupling Mechanisms" Sustainability 17, no. 11: 4941. https://doi.org/10.3390/su17114941

APA Style

Chen, D., Zou, Y., Zhu, J., Wei, W., Liang, D., Zhang, W., & Cheng, W. (2025). Spatiotemporal Evolution and Driving Mechanisms of Composite Ecological Sensitivity in the Western Sichuan Plateau, China Based on Multi-Process Coupling Mechanisms. Sustainability, 17(11), 4941. https://doi.org/10.3390/su17114941

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