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Driving Mechanisms of Spatial Differentiation in Ecosystem Service Value in Opencast Coal Mines in Arid Areas: A Case Study in the Zhundong Economic and Technological Development Zone

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  • Adila Akbar

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China)

  • Abudukeyimu Abulizi

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China
    MNR Technology Innovation Center for Central Asia Geo-Information Exploitation and Utilization, Urumqi 830046, China)

  • Reyilan Erken

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China)

  • Tingting Yu

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China)

Abstract

The valuation of ecosystem services (ESs) is crucial for preserving ecosystems, assessing natural resources, and making decisions regarding compensation. In this study, we employed the InVEST model’s habitat quality (HQ) module to calculate the HQ and degradation levels in the study area using land use/land cover (LULC) data from 2000 to 2020. Our analysis utilized quantitative methods, including spatial correlation, hotspot analysis, and geo-probing, to determine the value of ESs and identify trends. Furthermore, we examined the spatial and temporal variation in the significance of ESs and their driving factors. The results show the following. (1) The primary LULC types in the Zhundong coalfield from 2000 to 2020 are grassland and barren areas. (2) The average value of the HQ index in the study area exhibited a generally decreasing trend. Between 2000 and 2010, HQ significantly declined, particularly in the region’s large barren industrial and mining zones. However, over time, the proportion of sites with minimal degradation improved steadily, resulting in better overall HQ in the study area by 2020. This pertains to the measures put in place by the local government to safeguard and rehabilitate the ecosystem. (3) The spatial distribution of the ecosystem service value (ESV) aligns with changes in HQ and LULC, with significant hotspots primarily observed in forest and grassland areas, nature reserves, and areas around water sources. (4) LULC, temperature, annual precipitation, and elevation are the main drivers of spatial variation in the ESV in the Zhundong area; the spatial variation in the ESV in the Zhundong coalfield is primarily influenced by the interaction between human factors and natural factors, in which LULC plays a dominant role. This study’s findings can guide the development of rational ecological planning, integrating resource conservation mining with effective zoning management.

Suggested Citation

  • Adila Akbar & Abudukeyimu Abulizi & Reyilan Erken & Tingting Yu, 2024. "Driving Mechanisms of Spatial Differentiation in Ecosystem Service Value in Opencast Coal Mines in Arid Areas: A Case Study in the Zhundong Economic and Technological Development Zone," Land, MDPI, vol. 13(5), pages 1-24, May.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:623-:d:1389191
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    References listed on IDEAS

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    3. Xiao, Wu & Fu, Yanhua & Wang, Tao & Lv, Xuejiao, 2018. "Effects of land use transitions due to underground coal mining on ecosystem services in high groundwater table areas: A case study in the Yanzhou coalfield," Land Use Policy, Elsevier, vol. 71(C), pages 213-221.
    4. Marcell K. Peters & Andreas Hemp & Tim Appelhans & Joscha N. Becker & Christina Behler & Alice Classen & Florian Detsch & Andreas Ensslin & Stefan W. Ferger & Sara B. Frederiksen & Friederike Gebert &, 2019. "Climate–land-use interactions shape tropical mountain biodiversity and ecosystem functions," Nature, Nature, vol. 568(7750), pages 88-92, April.
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    1. Jixuan Yan & Gengxin Zhang & Wenning Wang & Zichen Guo & Jie Li & Xiangdong Yao & Pengcheng Gao & Qiang Li & Meihua Zhang & Miao Song, 2025. "Analysis of Factors Influencing the Ecosystem Service Value in Yuzhong County and Multi-Scenario Predictions," Land, MDPI, vol. 14(4), pages 1-17, April.

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