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Ecological sensitivity and its driving factors in the area along the Sichuan–Tibet Railway

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Listed:
  • Yang Chen

    (Chengdu University of Technology)

  • Tingbin Zhang

    (Chengdu University of Technology
    Chengdu University of Technology)

  • Xiaobing Zhou

    (Montana Technological University)

  • Jingji Li

    (Chengdu University of Technology
    Chengdu University of Technology)

  • Guihua Yi

    (Chengdu University of Technology)

  • Xiaojuan Bie

    (Chengdu University of Technology)

  • Jiao Hu

    (Chengdu University of Technology)

  • Bo Wen

    (Chengdu University of Technology)

Abstract

Understanding spatial and temporal characteristics and driving factors of ecological sensitivity are an essential prerequisite for effectively managing environmental changes and steering the rational use of land resources. This study employed the Analytic Hierarchy Process and Coefficient of Variation methods to calculate the weights of ten indicators from 2000 to 2018. Then, spatiotemporal change patterns of ecological sensitivity along the Sichuan–Tibet Railway were analyzed. At the same time, four individual parameters, including soil erosion, land use status, topographic factors, and climate conditions, were evaluated to create a multi-perspective understanding of the entire ecological sensitivity. The key factors affecting ecological sensitivity were explored through a geographic detector model. The results indicate that the ecological sensitivity along the Sichuan–Tibet Railway is predominantly high or moderate, with higher sensitivity observed in the western regions and lower sensitivity in the eastern regions. From 2000 to 2018, the ecological environment showed a trend of deterioration, and the spatial and temporal distribution patterns of the four parameters are closely related to the extensive ecological sensitivity. Based on the GeoDetector results, the spatial distribution of ecological sensitivity is mainly related to digital elevation model, precipitation, and air temperature. The interaction between different factors can enhance the effect on ecological sensitivity. The interaction between precipitation and Vegetation Coverage (FVC) has the largest effect.

Suggested Citation

  • Yang Chen & Tingbin Zhang & Xiaobing Zhou & Jingji Li & Guihua Yi & Xiaojuan Bie & Jiao Hu & Bo Wen, 2024. "Ecological sensitivity and its driving factors in the area along the Sichuan–Tibet Railway," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 20189-20208, August.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:8:d:10.1007_s10668-023-03462-z
    DOI: 10.1007/s10668-023-03462-z
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    References listed on IDEAS

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    1. Andriantiatsaholiniaina, Luc A. & Kouikoglou, Vassilis S. & Phillis, Yannis A., 2004. "Evaluating strategies for sustainable development: fuzzy logic reasoning and sensitivity analysis," Ecological Economics, Elsevier, vol. 48(2), pages 149-172, February.
    2. Gian-Reto Walther & Eric Post & Peter Convey & Annette Menzel & Camille Parmesan & Trevor J. C. Beebee & Jean-Marc Fromentin & Ove Hoegh-Guldberg & Franz Bairlein, 2002. "Ecological responses to recent climate change," Nature, Nature, vol. 416(6879), pages 389-395, March.
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