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

Yang Chen (), Tingbin Zhang (), Xiaobing Zhou (), Jingji Li (), Guihua Yi (), Xiaojuan Bie (), Jiao Hu () and Bo Wen ()
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Yang Chen: Chengdu University of Technology
Tingbin Zhang: Chengdu University of Technology
Xiaobing Zhou: Montana Technological University
Jingji Li: 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

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 8, No 42, 20189-20208

Abstract: 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.

Keywords: Ecological sensitivity; Spatiotemporal heterogeneity; Driving factors; Geographic detector model; Sichuan–Tibet railway (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03462-z

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