IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i2p914-d1841705.html

Landscape Pattern Evolution in the Source Region of the Chishui River

Author

Listed:
  • Yanzhao Gong

    (School of Geographical Sciences and Tourism, Zhaotong University, Zhaotong 657000, China)

  • Xiaotao Huang

    (School of Geographical Sciences and Tourism, Zhaotong University, Zhaotong 657000, China)

  • Jiaojiao Li

    (School of Geographical Sciences and Tourism, Zhaotong University, Zhaotong 657000, China)

  • Ju Zhao

    (School of Geographical Sciences and Tourism, Zhaotong University, Zhaotong 657000, China)

  • Dianji Fu

    (School of Geographical Sciences and Tourism, Zhaotong University, Zhaotong 657000, China)

  • Geping Luo

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

Abstract

Recognizing the evolution of landscape patterns in the Chishui River source region is essential for protecting ecosystems and sustainable growth in the Yangtze River Basin and other similar areas. However, knowledge of landscape pattern evolution within the primary channel zone remains insufficient. To address this gap, the current study used 2000–2020 land-use, geography, and socio-economic data, integrating landscape pattern indices, land-use transfer matrices, dynamic degree, the GeoDetector model, and the PLUS model. Results revealed that forest and cropland remained the prevailing land-use types throughout 2000–2020, comprising over 85% of the landscape. Grassland had the highest dynamic degree (1.58%), and landscape evolution during the study period was characterized by increased fragmentation, enhanced diversity, and stable dominance of major forms of land use. Anthropogenic influence on different landscape types followed the order: construction land > cropland > grassland > forest > water bodies. Land-use change in this region is a complex process governed by the interrelationships among various factors. Scenario-based predictions demonstrate pronounced variability in various land types. These findings provided a more comprehensive understanding of landscape patterns in karst river source regions, provided evidence-based support for regional planning, and offered guidance for ecological management of similar global river sources.

Suggested Citation

  • Yanzhao Gong & Xiaotao Huang & Jiaojiao Li & Ju Zhao & Dianji Fu & Geping Luo, 2026. "Landscape Pattern Evolution in the Source Region of the Chishui River," Sustainability, MDPI, vol. 18(2), pages 1-20, January.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:2:p:914-:d:1841705
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/2/914/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/2/914/
    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:18:y:2026:i:2:p:914-:d:1841705. 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.