IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i5p923-d1641049.html
   My bibliography  Save this article

Research on an Ecological Sensitivity Evaluation of Mountain-Type National Parks Under Multi-Modal Optimization: A Case Study of Shennongjia, China

Author

Listed:
  • Xingyu Zhou

    (Wuhan Planning and Design Institute (Wuhan Transportation Development Strategy Institute), Wuhan 430010, China)

  • Huan Huang

    (Wuhan Planning and Design Institute (Wuhan Transportation Development Strategy Institute), Wuhan 430010, China)

  • Shi Dai

    (Wuhan Planning and Design Institute (Wuhan Transportation Development Strategy Institute), Wuhan 430010, China)

  • Duanya Zheng

    (Wuhan Institute of Landscape Architectural Design, Wuhan 430022, China)

  • Jie Zhao

    (Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China)

Abstract

As ecologically sensitive zones within natural ecosystems, national parks demand more precise evaluation models for ecological sensitivity assessment. This study takes Shennongjia Forestry District, a pioneer among China’s first-batch national parks, as an study object to optimize the ecological sensitivity evaluation framework. In this study, we developed an integrated methodology incorporating high-precision ASTER GDEM elevation data, Landsat8 TM vegetation density inversion, SWAT-based flash flood simulation, and SVM-LSM landslide prediction while introducing dynamic protection elements including species migration corridors and human activity risks. The results demonstrate that the refined data structure enhances terrain coupling accuracy by transitioning from “Vegetation Type—Runoff Coefficient” to “Vegetation Density—Runoff Coefficient” conversions, with the optimized model exhibiting superior sensitivity in spatial element identification. This approach provides scientifically grounded technical support for balancing ecological conservation and visitor management in protected areas.

Suggested Citation

  • Xingyu Zhou & Huan Huang & Shi Dai & Duanya Zheng & Jie Zhao, 2025. "Research on an Ecological Sensitivity Evaluation of Mountain-Type National Parks Under Multi-Modal Optimization: A Case Study of Shennongjia, China," Land, MDPI, vol. 14(5), pages 1-23, April.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:5:p:923-:d:1641049
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/5/923/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/5/923/
    Download Restriction: no
    ---><---

    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:14:y:2025:i:5:p:923-:d:1641049. 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.