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Characterizing and attributing the vegetation coverage changes in North Shanxi coal base of China from 1987 to 2020

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  • Li, Sijia
  • Wang, Jinman
  • Zhang, Min
  • Tang, Qian

Abstract

Coal mining activities can lead to large-scale and high-intensity ecological disturbances, which not only destroy a large amount of land resources, but also cause ecological disturbances and environmental pollution problems, such as regional surface erosion and vegetation destruction. As one of the fourteen large coal bases in China, the North Shanxi coal base is in the ecologically fragile Loess Plateau. Under the influence of coal mining and urbanization, the ecosystem has been seriously affected. Vegetation is a direct or indirect driver of ecosystem change. In this study, Sen's slope analysis and Mann-Kendall trend test were carried out to characterize the trend and significance of vegetation coverage change from 1987 to 2020 based on remote sensing images, and the future tendency was predicted using the Hurst index method. Moreover, the effects of natural and human factors on vegetation coverage were explored. From 1987 to 2001, the vegetation coverage showed a downward trend, and it continued to rise from 2001 to 2020. The overall vegetation coverage showed an upward trend from 1987 to 2020, and the improvement areas are mainly concentrated in the southwest and southeast mountains. Future vegetation coverage in the North Shanxi coal base showed strong randomness. Regional vegetation coverage changes were closely related to climate factors, and the policy of “grain for green” have also played an important role, while coal mining didn't present great impact on vegetation coverage changes. Therefore, relevant land use policy recommendations are put forward.

Suggested Citation

  • Li, Sijia & Wang, Jinman & Zhang, Min & Tang, Qian, 2021. "Characterizing and attributing the vegetation coverage changes in North Shanxi coal base of China from 1987 to 2020," Resources Policy, Elsevier, vol. 74(C).
    • Handle: RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420721003408
    DOI: 10.1016/j.resourpol.2021.102331
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    References listed on IDEAS

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    Cited by:

    1. Shaobo Liu & Li Liu & Jiang Li & Qingping Zhou & Yifeng Ji & Wenbo Lai & Cui Long, 2022. "Spatiotemporal Variability of Human Disturbance Impacts on Ecosystem Services in Mining Areas," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    2. Yuanjie Deng & Lei Jia & Yajun Guo & Hua Li & Shunbo Yao & Liqi Chu & Weinan Lu & Mengyang Hou & Binbin Mo & Yameng Wang & Haiyu Yang & Tongyue Zhang, 2022. "Evaluation of the Ecological Effects of Ecological Restoration Programs: A Case Study of the Sloping Land Conversion Program on the Loess Plateau, China," IJERPH, MDPI, vol. 19(13), pages 1-20, June.
    3. Jiameng Hu & Baoying Ye & Zhongke Bai & Jiawei Hui, 2022. "Comparison of the Vegetation Index of Reclamation Mining Areas Calculated by Multi-Source Remote Sensing Data," Land, MDPI, vol. 11(3), pages 1-16, February.
    4. Huijuan Zhang & Wenkai Liu & Qingfeng Hu & Xiaodong Huang, 2023. "Multi-Scale Integration and Distribution of Soil Organic Matter Spatial Variation in a Coal–Grain Compound Area," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    5. Lijia Zhang & Zhenqi Hu & Dazhi Yang & Huanhuan Li & Bo Liu & He Gao & Congjie Cao & Yan Zhou & Junfang Li & Shuchang Li, 2022. "Land Use Dynamic Evolution and Driving Factors of Typical Open-Pit Coal Mines in Inner Mongolia," IJERPH, MDPI, vol. 19(15), pages 1-14, August.
    6. Jiaxin Mi & Huping Hou & Zhifeng Jin & Xiaoyan Yang & Yifei Hua, 2023. "Long-Term Impact of Ground Deformation on Vegetation in an Underground Mining Area: Its Mechanism and Suggestions for Revegetation," Land, MDPI, vol. 12(6), pages 1-18, June.

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