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Policy-Driven Mine Ecological Restoration Projects in China

Author

Listed:
  • Ruifeng Zhu

    (College of Life and Environment Science, Central South University of Forestry and Technology, Changsha 410004, China
    Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China)

  • Zexin He

    (Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China)

  • Shunhong Huang

    (College of Life and Environment Science, Central South University of Forestry and Technology, Changsha 410004, China)

  • Huading Shi

    (Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China)

  • Xiaolin Liu

    (Mineral Resources Survey Institute of Hunan Province, Chenzhou 423000, China)

  • Junke Wang

    (Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
    Current affiliation: School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China.)

  • Jinbin Liu

    (Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
    Current affiliation: School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China.)

Abstract

Vegetation serves as a crucial indicator for monitoring ecosystems and plays a vital role. This paper employs remote sensing techniques to monitor vegetation in Taojiang County, aiming to explore the effects of ecological restoration projects on vegetation in mining areas. The study uses the Theil–Sen median slope and Mann–Kendall tests to analyze the trend of fractional vegetation coverage (FVC) changes in mining areas, the CASA model to estimate net primary productivity (NPP) in mining areas, and random forest models to assess the importance of influencing factors. Overall, FVC in the study area has slightly increased from 0.729 to 0.847. The FVC in mining areas reached its lowest point at 0.423 in 2011 and recovered to 0.718 in 2023 due to artificial restoration. From 2004 to 2011, FVC in mining areas showed an overall downward trend, while from 2013 to 2023, it showed an overall upward trend. The trend of NPP in mining areas is similar to that of FVC, with NPP being 939.8 g/m 2 y in 2004, 2011, and 2020, 788.3 g/m 2 y in 2011, and 855.7 g/m 2 y in 2020. Results from the random forest simulation indicate that the primary factor affecting FVC in mining areas is distance from roads, followed by elevation. This study finds that ecological restoration projects play a significant role in achieving ecological recovery and sustainable development in mining areas.

Suggested Citation

  • Ruifeng Zhu & Zexin He & Shunhong Huang & Huading Shi & Xiaolin Liu & Junke Wang & Jinbin Liu, 2025. "Policy-Driven Mine Ecological Restoration Projects in China," Land, MDPI, vol. 14(9), pages 1-19, September.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:9:p:1831-:d:1744594
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