IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i21p9595-d1513748.html
   My bibliography  Save this article

Spatiotemporal Variations and Driving Factors of Ecological Sensitivity in the West Qinling Mountains, China, Under the Optimal Scale

Author

Listed:
  • Qiqi Zhao

    (College of Resources and Environment, Gansu Agricultural University, Lanzhou 730070, China)

  • Xuelu Liu

    (College of Resources and Environment, Gansu Agricultural University, Lanzhou 730070, China)

  • Yingying Wu

    (College of Resources and Environment, Gansu Agricultural University, Lanzhou 730070, China)

  • Hongyan Liu

    (College of Resources and Environment, Gansu Agricultural University, Lanzhou 730070, China)

  • Fei Qu

    (College of Resources and Environment, Gansu Agricultural University, Lanzhou 730070, China)

  • Miaomiao Zhang

    (College of Management, Gansu Agricultural University, Lanzhou 730070, China)

  • Xiaodan Li

    (College of Management, Gansu Agricultural University, Lanzhou 730070, China)

Abstract

This study selected the five indicators of soil erosion, climate environment, geological hazards, biodiversity, and human disturbances and uses the entropy weight method to calculate the ecological sensitivity of the West Qinling Mountains from 2000 to 2020. The analysis produced a spatiotemporal distribution of ecological sensitivity over the 20-year period. An equal step size of 500 m was used to progressively increase the spatial scale from 500 m to 6 km. The optimal scale for the spatial differentiation of ecological sensitivity in the West Qinling Mountains was determined by analyzing the characteristics of changes at different scales, response mechanisms, and optimal parameters for geographical detector spatial scale identification. Based on this scale, the change in intensity and pattern and the influencing factors of ecological sensitivity were analyzed. The results show the following: (1) The 5.5 km spatial scale balances the requirements of accuracy, spatial heterogeneity, and data adequacy, making it the optimal scale for analyzing the spatiotemporal variation patterns of ecological sensitivity in the West Qinling Mountains. (2) From 2000 to 2020, the mean ecological sensitivity in the West Qinling Mountains exhibited a decreasing trend, indicating an improvement in the ecological environment. Spatially, the ecological sensitivity of the West Qinling Mountains showed a spatial distribution pattern of “low in the west and high in the east, low in the south and high in the north”. During the study period, the ecological sensitivity in the West Qinling region remained generally stable, with no high-frequency changes observed. (3) Population density is the primary driving factor of spatial differentiation of ecological sensitivity in the West Qinling Mountains, while GDP serves as a secondary factor. Overall, socioeconomic factors have the most significant impact on ecological sensitivity. (4) Over 75% of the ecological sensitivity trends exhibit patterns of perennial unchanged and fluctuating unchanged trends, with areas of fluctuating increase smaller than areas of fluctuating decrease. Regions of perennial high sensitivity are primarily concentrated in the northeastern part of the West Qinling Mountains, while areas with increased fluctuation in ecological sensitivity are mainly located in the western and southern parts of the West Qinling Mountains. Future efforts should focus on these regions.

Suggested Citation

  • Qiqi Zhao & Xuelu Liu & Yingying Wu & Hongyan Liu & Fei Qu & Miaomiao Zhang & Xiaodan Li, 2024. "Spatiotemporal Variations and Driving Factors of Ecological Sensitivity in the West Qinling Mountains, China, Under the Optimal Scale," Sustainability, MDPI, vol. 16(21), pages 1-23, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9595-:d:1513748
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/21/9595/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/21/9595/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xinlei Xu & Siyuan Wang & Gege Yan & Xinyi He, 2023. "Ecological Security Assessment Based on the “Importance–Sensitivity–Connectivity” Index and Pattern Construction: A Case Study of Xiliu Ditch in the Yellow River Basin, China," Land, MDPI, vol. 12(7), pages 1-23, June.
    2. Alessia Pica & Luca Lämmle & Martina Burnelli & Maurizio Del Monte & Carlo Donadio & Francesco Faccini & Maurizio Lazzari & Andrea Mandarino & Laura Melelli & Archimedes Perez Filho & Filippo Russo & , 2024. "Urban Geomorphology Methods and Applications as a Guideline for Understanding the City Environment," Land, MDPI, vol. 13(7), pages 1-27, June.
    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. Yulin Liu & Yi Lu & Dawei Xu & Herui Zhou & Shengnan Zhang, 2024. "Enhancing the MSPA Method to Incorporate Ecological Sensitivity: Construction of Ecological Security Patterns in Harbin City," Sustainability, MDPI, vol. 16(7), pages 1-23, March.
    2. Fengyu Wang & Shuai Tong & Yun Chu & Tianlong Liu & Xiang Ji, 2023. "Spatio-Temporal Evolution of Key Areas of Territorial Ecological Restoration in Resource-Exhausted Cities: A Case Study of Jiawang District, China," Land, MDPI, vol. 12(9), pages 1-25, September.
    3. Asia Bernardi & Michele Licata & Francesco Seitone & Giandomenico Fubelli, 2024. "MAGUS (Model for the Analysis of Geomorphological Urban Systems): From Conception to Validation on the Historic City Center of Turin (Italy)," Land, MDPI, vol. 13(11), pages 1-20, November.

    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:21:p:9595-:d:1513748. 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.