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Gray Forecast of Ecosystem Services Value and Its Driving Forces in Karst Areas of China: A Case Study in Guizhou Province, China

Author

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  • Sipei Pan

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Jiale Liang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Wanxu Chen

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
    Research Center for Spatial Planning and Human-Environmental System Simulation, China University of Geosciences, Wuhan 430078, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China)

  • Jiangfeng Li

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Ziqi Liu

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

Abstract

A sound ecosystem is the prerequisite for the sustainable development of human society, and the karst ecosystem is a key component of the global ecosystem, which is essential to human welfare and livelihood. However, there remains a gap in the literature on the changing trend and driving factors of ecosystem services value ( ESV ) in karst areas. In this study, Guizhou Province, a representative region of karst mountainous areas, was taken as a case to bridge the gap. ESV in the karst areas was predicted, based on the land use change data in 2009–2018, and the driving mechanisms were explored through the gray correlation analysis method. Results show that a total loss of CNY 21.47 billion ESV from 2009 to 2018 is due to the conversion of a total of 22.566% of the land in Guizhou, with forest land as the main cause of ESV change. By 2025 and 2030, the areas of garden land, water area, and construction land in Guizhou Province will continue to increase, whereas the areas of cultivated land, forest land, and garden land will decline. The total ESV shows a downward trend and will decrease to CNY 218.71 billion by 2030. Gray correlation analysis results illuminate that the total population and tertiary industry proportion are the uppermost, among all the driving factors that affect ESV change. The findings in this study have important implications for optimizing and adjusting the land use structure ecological protection and will enrich the literature on ESV in ecologically fragile areas.

Suggested Citation

  • Sipei Pan & Jiale Liang & Wanxu Chen & Jiangfeng Li & Ziqi Liu, 2021. "Gray Forecast of Ecosystem Services Value and Its Driving Forces in Karst Areas of China: A Case Study in Guizhou Province, China," IJERPH, MDPI, vol. 18(23), pages 1-20, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12404-:d:687990
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    References listed on IDEAS

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    Cited by:

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    3. Liu Yang & Mengmeng Suo & Shunqian Gao & Hongzan Jiao, 2022. "Construction of an Ecological Network Based on an Integrated Approach and Circuit Theory: A Case Study of Panzhou in Guizhou Province," Sustainability, MDPI, vol. 14(15), pages 1-29, July.
    4. Jiaju Cao & Xingping Wen & Meimei Zhang & Dayou Luo & Yinlong Tan, 2022. "Information Extraction and Prediction of Rocky Desertification Based on Remote Sensing Data," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    5. Ziwei Luo & Xijun Hu & Yezi Wang & Cunyou Chen, 2023. "Simulation and Prediction of Territorial Spatial Layout at the Lake-Type Basin Scale: A Case Study of the Dongting Lake Basin in China from 2000 to 2050," Sustainability, MDPI, vol. 15(6), pages 1-20, March.

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