IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v510y2025ics0304380025002777.html

Multi-scenario spatial optimization for future development in arid and semi-arid regions based on early warning of ecological risk

Author

Listed:
  • Hu, Yuxia
  • Gong, Jirui
  • Zhang, Siqi
  • Zhang, Weiyuan
  • Dong, Xuede
  • Yang, Guisen
  • Yan, Chenyi
  • Wang, Ruijing
  • Zhang, Shangpeng
  • Wang, Tong

Abstract

Human activities have significantly transformed land use, resulting in increasing ecological risks, especially in ecologically fragile arid and semi-arid regions. We developed a new early warning of ecological risk framework and predicted ecological risk under different scenarios, aimed at ensuring ecological security and enhancing ecosystem service delivery in regions such as China’s West Liao River Basin. From 2000 to 2020, the areas of forest and grassland space increased, which improved the overall environmental quality of the basin and decreased the ecological risk. However, from 2030 to 2050 under the current development trend scenario, the expansion of living space will increase the ecological risk. The ecological priority scenario offers enhanced environmental protection, suggesting that regions with high population density and fragile ecosystems where maximizing ecological benefits is critical. The economic development scenario, while more appropriate for regions that are ecologically stable and economically prosperous, can stimulate local economic growth. Both the ecological priority and economic development scenarios demonstrate superior control over ecological risk compared to the current development trend. The selection of appropriate strategies should be tailored to the unique characteristics of each region. Our results provide a new perspective for optimizing space and scientifically managing ecological risks.

Suggested Citation

  • Hu, Yuxia & Gong, Jirui & Zhang, Siqi & Zhang, Weiyuan & Dong, Xuede & Yang, Guisen & Yan, Chenyi & Wang, Ruijing & Zhang, Shangpeng & Wang, Tong, 2025. "Multi-scenario spatial optimization for future development in arid and semi-arid regions based on early warning of ecological risk," Ecological Modelling, Elsevier, vol. 510(C).
  • Handle: RePEc:eee:ecomod:v:510:y:2025:i:c:s0304380025002777
    DOI: 10.1016/j.ecolmodel.2025.111291
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380025002777
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2025.111291?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:ecomod:v:510:y:2025:i:c:s0304380025002777. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.