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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Keqi Li & Qingwu Yan & Zihao Wu & Guie Li & Minghao Yi & Xiaosong Ma, 2025. "A Study on the Spatiotemporal Heterogeneity and Driving Forces of Ecological Resilience in the Economic Belt on the Northern Slope of the Tianshan Mountains," Land, MDPI, vol. 14(1), pages 1-20, January.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:1:p:196-:d:1570576
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    References listed on IDEAS

    as
    1. Ron Boschma, 2015. "Towards an Evolutionary Perspective on Regional Resilience," Regional Studies, Taylor & Francis Journals, vol. 49(5), pages 733-751, May.
    2. Raj, Alok & Sharma, Laxmi Kant, 2023. "Spatial E-PSR modelling for ecological sensitivity assessment for arid rangeland resilience and management," Ecological Modelling, Elsevier, vol. 478(C).
    3. Minghao Yi & Qingwu Yan & Keqi Li & Xiaosong Ma & Guie Li & Zihao Wu & Qinke Pan & Xingshan Chen, 2024. "The Ecological Environmental Effects and Topographic Gradient Analysis of Transformation in the Production–Living–Ecological Spaces in the Northern Slope of the Tianshan Mountains," Land, MDPI, vol. 13(8), pages 1-20, July.
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