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Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model

Author

Listed:
  • Liping Zhang

    (College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Shiwen Zhang

    (College of Earth and Environmental Sciences, Anhui University of Science and Technology, Huainan 232001, China)

  • Yajie Huang

    (College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Meng Cao

    (College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Yuanfang Huang

    (College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Hongyan Zhang

    (College of Science, China Agricultural University, Beijing 100193, China)

Abstract

Understanding abandoned mine land (AML) changes during land reclamation is crucial for reusing damaged land resources and formulating sound ecological restoration policies. This study combines the linear programming (LP) model and the CLUE-S model to simulate land-use dynamics in the Mentougou District (Beijing, China) from 2007 to 2020 under three reclamation scenarios, that is, the planning scenario based on the general land-use plan in study area (scenario 1), maximal comprehensive benefits (scenario 2), and maximal ecosystem service value (scenario 3). Nine landscape-scale graph metrics were then selected to describe the landscape characteristics. The results show that the coupled model presented can simulate the dynamics of AML effectively and the spatially explicit transformations of AML were different. New cultivated land dominates in scenario 1, while construction land and forest land account for major percentages in scenarios 2 and 3, respectively. Scenario 3 has an advantage in most of the selected indices as the patches combined most closely. To conclude, reclaiming AML by transformation into more forest can reduce the variability and maintain the stability of the landscape ecological system in study area. These findings contribute to better mapping AML dynamics and providing policy support for the management of AML.

Suggested Citation

  • Liping Zhang & Shiwen Zhang & Yajie Huang & Meng Cao & Yuanfang Huang & Hongyan Zhang, 2016. "Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model," IJERPH, MDPI, vol. 13(4), pages 1-20, March.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:4:p:354-:d:66383
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    References listed on IDEAS

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    5. Sullivan, Jay & Amacher, Gregory S., 2013. "Optimal hardwood tree planting and forest reclamation policy on reclaimed surface mine lands in the Appalachian coal region," Resources Policy, Elsevier, vol. 38(1), pages 1-7.
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    Cited by:

    1. Fangzhou Ma & Chenbin Wang & Yanjing Zhang & Jing Chen & Rui Xie & Zhanbin Sun, 2022. "Development of Microbial Indicators in Ecological Systems," IJERPH, MDPI, vol. 19(21), pages 1-10, October.

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