A Study on the Spatiotemporal Heterogeneity and Driving Forces of Ecological Resilience in the Economic Belt on the Northern Slope of the Tianshan Mountains

Keqi Li, Qingwu Yan (), Zihao Wu, Guie Li, Minghao Yi and Xiaosong Ma
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Keqi Li: School of Public & Management, China University of Mining and Technology, Xuzhou 221116, China
Qingwu Yan: School of Public & Management, China University of Mining and Technology, Xuzhou 221116, China
Zihao Wu: School of Public & Management, China University of Mining and Technology, Xuzhou 221116, China
Guie Li: School of Public & Management, China University of Mining and Technology, Xuzhou 221116, China
Minghao Yi: School of Public & Management, China University of Mining and Technology, Xuzhou 221116, China
Xiaosong Ma: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

Land, 2025, vol. 14, issue 1, 1-20

Abstract: The assessment of ecological resilience in arid regions is crucial for understanding and mitigating the impacts of climate change and human activities, ensuring the sustainable management of these vulnerable ecosystems. Taking the Economic Belt on the Northern Slope of the Tianshan Mountains (EBNSTM) as the research area, a multi-dimensional evaluation model coupling vulnerability, health, and connectivity was used to explore the spatiotemporal variation and driving forces of ecological resilience. Firstly, a sub-item evaluation of ecological resilience was conducted from three aspects, including ecological vulnerability evaluation based on the CRITIC and AHP models, ecological health evaluation based on the InVEST model, and landscape connectivity evaluation based on the MSPA method. Then, the sequence polygon method was utilized to conduct a comprehensive multi-dimensional assessment of ecological resilience based on the aforementioned three evaluation results. Finally, the geographical detector model was utilized to identify the driving factors behind the spatial heterogeneity of ecological resilience. The results show the following: (1) From 2000 to 2020, the overall ecological resilience showed an upward trend and significant spatial heterogeneity. The overall distribution pattern exhibited a spatial feature of south higher, north lower, where the southern region displayed a clear high-high clustering characteristic, exerting a positive and radiating influence on surrounding areas. (2) The main driving factors of the spatial heterogeneity are DEM, precipitation, NPP, GDP, and PM2.5. And among different factors, the dual-factor enhancement effect is greater than the nonlinear enhancement of a single factor. (3) Human activities are important influencing factor, and the impact of urban expansion and economic growth on ecological resilience is becoming increasingly significant. Therefore, in the process of economic development, full consideration should be given to the self-repairing and adaptive capabilities of the ecosystem.

Keywords: ecological resilience; vulnerability; ecological health; landscape connectivity (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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