IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i6p856-d832778.html
   My bibliography  Save this article

Vegetation Disturbance and Recovery Dynamics of Different Surface Mining Sites via the LandTrendr Algorithm: Case Study in Inner Mongolia, China

Author

Listed:
  • Yunxuan Liu

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

  • Miaomiao Xie

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Land Consolidation, Ministry of Natural Resources of the PRC, Guanying Yuan West 37, Beijing 100035, China)

  • Jinying Liu

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

  • Huihui Wang

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Bin Chen

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

Abstract

Mining sites are areas where mining and restoration coexist and are constantly changing. The vegetation condition can reflect the process of surface mining and restoration, while quantifying the impacts of different mining patterns and surrounding environments on vegetation is the key to balancing mining activities and ecological restoration. In this study, long-term monitoring from 1986 to 2020 was implemented by the LandTrendr algorithm to reveal the ecological impacts of two concentrated and contiguous surface mining sites with different mining patterns (scattered and aggregated mining) and surrounding environments in Inner Mongolia, China. The results show that it is reasonable to use the LandTrendr algorithm for long-term monitoring of surface mining sites, and that the ecological impacts of different surface mining sites in ecologically fragile areas have the same regularity. As the duration increases, the magnitude of disturbance decreases, and the magnitude of recovery first decreases and then reaches a natural fluctuation state after 20 years of recovery. Different mining patterns and surrounding environments bring different ecological impacts. Scattered mining areas are more likely to produce natural recovery while the restored ecosystem is more stable. The performance of mining development disturbance is more obvious in places with better ecological environment, while the effect of ecological restoration is also more significant. This study can provide guidance for the rational planning of mining and restoration activities in ecologically fragile areas.

Suggested Citation

  • Yunxuan Liu & Miaomiao Xie & Jinying Liu & Huihui Wang & Bin Chen, 2022. "Vegetation Disturbance and Recovery Dynamics of Different Surface Mining Sites via the LandTrendr Algorithm: Case Study in Inner Mongolia, China," Land, MDPI, vol. 11(6), pages 1-20, June.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:856-:d:832778
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/6/856/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/6/856/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Franks, Daniel M. & Brereton, David & Moran, Chris J., 2013. "The cumulative dimensions of impact in resource regions," Resources Policy, Elsevier, vol. 38(4), pages 640-647.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. R. G. van der Vegt, 2018. "Risk Assessment and Risk Governance of Liquefied Natural Gas Development in Gladstone, Australia," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1830-1846, September.
    2. Suopajärvi, Leena & Poelzer, Gregory A. & Ejdemo, Thomas & Klyuchnikova, Elena & Korchak, Elena & Nygaard, Vigdis, 2016. "Social sustainability in northern mining communities: A study of the European North and Northwest Russia," Resources Policy, Elsevier, vol. 47(C), pages 61-68.
    3. Ottone Scammacca & Rasool Mehdizadeh & Yann Gunzburger, 2022. "Territorial Mining Scenarios for Sustainable Land-Planning: A Risk-Based Comparison on the Example of Gold Mining in French Guiana," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    4. Worden, Sandy & Svobodova, Kamila & Côte, Claire & Bolz, Pascal, 2024. "Regional post-mining land use assessment: An interdisciplinary and multi-stakeholder approach," Resources Policy, Elsevier, vol. 89(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:856-:d:832778. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.