IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i17p7764-d1736743.html
   My bibliography  Save this article

Habitat Quality Assessment Based on Ecological Network Construction: A Case Study of Eremias multiocellata in Xinjiang, China

Author

Listed:
  • Zhengyu Li

    (College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China
    These authors contributed equally to this study and share first authorship.)

  • Junzhe Zhang

    (College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China
    These authors contributed equally to this study and share first authorship.)

  • Jinhu Hai

    (College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China)

  • Wenhan Chen

    (College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China)

  • Chunhua Hai

    (College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China)

  • Zhenkun Pang

    (College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China)

  • Haifan Yan

    (College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China)

  • Luoxue Jiang

    (College of Food and Pharmaceutical Sciences, Ziyang College of Environmental Science and Technology, Ziyang 618400, China)

  • Wei Zhao

    (Gansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, Lanzhou 730030, China)

  • You Li

    (College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China
    Engineering Research Center of Key Technology and Industrialization of Cell-Based Vaccine, Ministry of Education, Northwest Minzu University, Lanzhou 730030, China)

Abstract

Habitat fragmentation represents a significant threat to biodiversity, particularly the survival of wild species. Constructing and optimizing ecological networks are critical for promoting sustainable biodiversity, especially in the conservation of unmanaged wildlife. To address this, this study focused on designing and optimizing an ecological network tailored to the preservation of the Xinjiang desert lacertid lizard ( Eremias multiocellata ). This study integrated a dual-model approach, applying the InVEST model for habitat quality assessment and the MaxEnt model for suitable habitat prediction. An overlay analysis identified 15 core ecological source areas spanning 126,044 km 2 , primarily located in the desert–grassland transition zones of the central and western study areas. A total of 34 ecological corridors were established utilizing the minimum cumulative resistance model, totaling 3764 km in length. These include 11 long corridors, 17 short corridors, and 6 potential corridors. Additionally, 100 strategic points were identified: 41 pinch points, 38 barrier points, and 21 stepping stones. This study identifies priority areas and obstacles affecting the ecological connectivity of the species’ habitats and highlights the importance of small habitat patches for long-term species dispersal and habitat expansion, providing more comprehensive guidance for sustainable development and species conservation. Furthermore, the methodology provides valuable insights into biodiversity conservation and the optimization of the natural habitat spatial layout in desert ecosystems, along with novel methods for managing and conserving other unmonitored animal species in various ecosystems.

Suggested Citation

  • Zhengyu Li & Junzhe Zhang & Jinhu Hai & Wenhan Chen & Chunhua Hai & Zhenkun Pang & Haifan Yan & Luoxue Jiang & Wei Zhao & You Li, 2025. "Habitat Quality Assessment Based on Ecological Network Construction: A Case Study of Eremias multiocellata in Xinjiang, China," Sustainability, MDPI, vol. 17(17), pages 1-26, August.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7764-:d:1736743
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/17/7764/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/17/7764/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:17:y:2025:i:17:p:7764-:d:1736743. 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: 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.