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Spatial–Temporal Multivariate Correlation Analysis of Ecosystem Services and Ecological Risk in Areas of Overlapped Cropland and Coal Resources in the Eastern Plains, China

Author

Listed:
  • Xueqing Wang

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Zhongyi Ding

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
    Research Center for Transformation Development and Rural Revitalization of Resource-Based Cities in China, China University of Mining and Technology, Xuzhou 221116, China)

  • Shaoliang Zhang

    (School of Environment and Geoinformatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Huping Hou

    (School of Environment and Geoinformatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Zanxu Chen

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Qinyu Wu

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

The overlapped areas of cropland and coal resources play a fundamental role in promoting economic and social progress. However, intensive mining operations in high water-level areas have brought significant spatial–temporal heterogeneity and ecological problems. From the dual dimensions of the ecosystem service value (ESV) and ecological risk (ER), it is of great significance to explore the influence characteristics of underground mining on the landscape, such as above-ground cultivated land, which is valuable to achieving regional governance and coordinated development. In this study, taking Peixian as the research area, a multiple-dimensional correlation framework was constructed based on the revised ESV and ER, integrating the grey relational degree, spatial–temporal heterogeneity, disequilibrium, and inconsistency index to explore the ESV and ER assessment and correlation characteristics from 2010 to 2020. The results show that (1) the ESV showed a high agglomerated distribution pattern in the east, with a net decrease of 13.61%. (2) The ER decreased by 78.18 and was concentrated in the western and southern regions, with overall contiguous and local agglomeration characteristics. This indicates that the ecological security of the region has improved. (3) The comprehensive grey correlation between the cultural service value and the ecological risk index was the highest. Furthermore, the spatial–temporal heterogeneity of the ESV and ER weakened, and the disequilibrium rose and then fell, indicating that the ecosystem gradually tended to be stable. The study is crucial for overlapped cropland and coal resource areas to maintain stability and sustainable development. The multivariate correlation framework provides practical value for ecosystem management and risk control.

Suggested Citation

  • Xueqing Wang & Zhongyi Ding & Shaoliang Zhang & Huping Hou & Zanxu Chen & Qinyu Wu, 2022. "Spatial–Temporal Multivariate Correlation Analysis of Ecosystem Services and Ecological Risk in Areas of Overlapped Cropland and Coal Resources in the Eastern Plains, China," Land, MDPI, vol. 12(1), pages 1-16, December.
    • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:74-:d:1015665
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    References listed on IDEAS

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