IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i20p8977-d1500322.html
   My bibliography  Save this article

Assessing the Effectiveness of Turf Transplantation and Artificial Replanting in Restoring Abandoned Mining Areas

Author

Listed:
  • Amannisa Kuerban

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Xinjiang Comprehensive Land Consolidation and Rehabilitation Center, Urumqi 830002, China)

  • Guankui Gao

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Abdul Waheed

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Hailiang Xu

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Shuyu Wang

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Zewen Tong

    (Xukuang Group Hami Energy Company, Hami 839000, China)

Abstract

Long-term and extensive mineral mining in the Kuermutu mine section of the Two Rivers Nature Reserve in the Altai region has disrupted the ecological balance between soil and vegetation. To assess the effectiveness of various restoration measures in this abandoned mine area, we compared two restoration approaches—natural turf transplantation (NTT) and replanted economic crop grassland (ARGC)—against an unaltered control (original grassland). We employed 11 evaluation indices to conduct soil and vegetation surveys. We developed a comprehensive evaluation model using the Analytic Hierarchy Process (AHP) to assess restoration outcomes for each grassland type. Our findings indicate that both NTT and ARGC significantly improved ecological conditions, such as reducing soil fine particulate matter loss and restoring vegetation cover. This brought these areas closer to their original grassland state. The species composition and community structure of the NTT and ARGC vegetation communities improved relative to the original grassland. This was due to a noticeable increase in dominant species’ importance value. Vegetation cover averaged higher scores in NTT, while the average height was greater in ARGC. The soil water content and soil organic carbon (SOC) varied significantly with depth ( p < 0.05), following a general ‘V’ pattern. NTT positively impacted soil moisture content (SMC) at the surface, whereas ARGC influenced SMC in deeper layers, with the 40–50 cm soil layer achieving 48.13% of the original grassland’s SMC. SOC levels were highest in the control (original grassland), followed by ARGC and NTT, with ARGC showing the greatest organic carbon content at 20–30 cm depths. A comprehensive AHP ecological-economic evaluation revealed that restoration effectiveness scores were 0.594 for NTT and 0.669 for ARGC, translating to 59.4% and 66.9%, respectively. ARGC restoration was found to be more effective than NTT. These results provide valuable insights into ecological restoration practices for abandoned mines in Xinjiang and can guide future effectiveness evaluations.

Suggested Citation

  • Amannisa Kuerban & Guankui Gao & Abdul Waheed & Hailiang Xu & Shuyu Wang & Zewen Tong, 2024. "Assessing the Effectiveness of Turf Transplantation and Artificial Replanting in Restoring Abandoned Mining Areas," Sustainability, MDPI, vol. 16(20), pages 1-13, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:8977-:d:1500322
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/20/8977/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/20/8977/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qiao Xu & Hailiang Xu & Yan Wei & Aishajiang Aili, 2023. "Restoration Effects of Supplementary Planting Measures on the Abandoned Mining Areas in the Altay Mountain, Northwest China," Sustainability, MDPI, vol. 15(20), pages 1-12, October.
    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. Tianyu Zhu & Chengzhi Li & Xiaocao Liu & Xiaobing Zhao, 2024. "Assessing Ecological Restoration in Arid Mining Regions: A Progressive Evaluation System," Sustainability, MDPI, vol. 16(6), pages 1-16, March.

    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:jsusta:v:16:y:2024:i:20:p:8977-:d:1500322. 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.