IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i23p13290-d692393.html
   My bibliography  Save this article

Comprehensive Analysis of Ecological Restoration Technologies in Typical Ecologically Vulnerable Regions around the World

Author

Listed:
  • Shuang Wang

    (Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Lin Zhen

    (Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Qi Luo

    (China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China)

  • Yun-Jie Wei

    (School of Economics, Beijing Technology and Business University, Beijing 100049, China)

  • Yu Xiao

    (Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Ecosystem degradation is a key issue facing the world. Rapid economic development has been achieved at the cost of degradation and environmental pollution, which has affected human well-being, particularly in fragile ecosystems. To achieve the United Nations sustainable development goals, it is essential to develop technologies to control degradation and restore ecosystems. However, a comprehensive assessment of the different types of degradation, of the methods used in different regions, and of the differences between regions has not been carried out. In this study, we examined databases of international organizations, interviewed experts to evaluate existing methods based on five dimensions, identified restoration technologies (hereinafter referred to as RTs) suitable for different types of degradation, and summarized the restoration effectiveness in different regions. We found 101 RTs around the world and found that the same technology can be applied in different regions. The RTs were dominated by engineering and biological RTs, accounting for 19.2–26.7% and 33.4–34.7% of the total, respectively. 45, 30, and 26 RTs were suitable for controlling soil erosion, sandy desertification, and degraded ecosystem, respectively. The average evaluation index of RTs for controlling these degradation problems are 0.81, 0.78, and 0.73, respectively meaning RTs used to fight soil erosion are more effective. The potential to transfer a technology to other regions and the readiness of the technologies were low for degraded ecosystems, and the ease of use was high for sandy desertification RTs. Although a given technology could be applied to different regions or degradation types, results varied. Our study will help ecosystem managers to deal with specific degradation issues, phases, and severities, and will support the transfer of RTs among regions.

Suggested Citation

  • Shuang Wang & Lin Zhen & Qi Luo & Yun-Jie Wei & Yu Xiao, 2021. "Comprehensive Analysis of Ecological Restoration Technologies in Typical Ecologically Vulnerable Regions around the World," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13290-:d:692393
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/23/13290/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/23/13290/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Zhen & Li, Qiuming & Lan, Jing & Abu Hatab, Assem, 2020. "Does participation in the sloping land conversion program reduce the sensitivity of Chinese farmers to climate change?," Land Use Policy, Elsevier, vol. 99(C).
    2. Tian Wang & Jingming Hou & Peng Li & Jiaheng Zhao & Zhanbin Li & Elena Matta & Liping Ma & Reinhard Hinkelmann, 2021. "Quantitative assessment of check dam system impacts on catchment flood characteristics – a case in hilly and gully area of the Loess Plateau, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 3059-3077, February.
    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. Yuanhe Yu & Liang Wang & Jinkuo Lin & Zijun Li, 2022. "Optimizing Agricultural Input and Production for Different Types of at-Risk Peasant Households: An Empirical Study of Typical Counties in the Yimeng Mountain Area of Northern China," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
    2. Lingqi Li & Kai Wu & Enhui Jiang & Huijuan Yin & Yuanjian Wang & Shimin Tian & Suzhen Dang, 2021. "Evaluating Runoff-Sediment Relationship Variations Using Generalized Additive Models That Incorporate Reservoir Indices for Check Dams," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3845-3860, September.
    3. Ullah, Ayat & Zeb, Alam & Saqib, Shahab E. & Kächele, Harald, 2022. "Landscape co-management and livelihood sustainability: Lessons learned from the billion trees afforestation project in Pakistan," Land Use Policy, Elsevier, vol. 115(C).
    4. Yihui Chen & Minjie Li & Assem Abu Hatab, 2020. "A spatiotemporal analysis of comparative advantage in tea production in China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(12), pages 550-561.
    5. Giefer, Madeline M. & An, Li, 2022. "Divergent impacts of the grain to green program, landholdings, and demographic factors on livelihood diversification in rural China," World Development, Elsevier, vol. 156(C).
    6. Qiang Zhang & Yanlong Li & Shu Yu & Lin Wang & Zuyu Chen & Jiawei Zhou, 2023. "Rapid quantitative study of check dam breach floods under extreme rainstorm," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 2011-2031, March.
    7. Wei Liu & Jing Gao & Jie Xu & Cong Li, 2023. "Estimating Livelihood Vulnerability and Its Impact on Adaptation Strategies in the Context of Disaster Avoidance Resettlement in Southern Shaanxi, China," Agriculture, MDPI, vol. 13(8), pages 1-15, July.

    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:13:y:2021:i:23:p:13290-:d:692393. 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.