IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i5p1894-d1597913.html
   My bibliography  Save this article

Spatiotemporal Evolution and Driving Mechanisms of Land Use in Regions with Frequent Human–Land Interactions: A Case Study in the Dongting Lake Area

Author

Listed:
  • Xiang Gao

    (Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yonghong Xie

    (Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Technology Innovation Center for Ecological Conservation and Restoration in Dongting Lake Basin, Ministry of Natural Resources, Changsha 410000, China)

  • Yeai Zou

    (Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Technology Innovation Center for Ecological Conservation and Restoration in Dongting Lake Basin, Ministry of Natural Resources, Changsha 410000, China)

  • Feng Li

    (Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Technology Innovation Center for Ecological Conservation and Restoration in Dongting Lake Basin, Ministry of Natural Resources, Changsha 410000, China)

  • Zhengmiao Deng

    (Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Technology Innovation Center for Ecological Conservation and Restoration in Dongting Lake Basin, Ministry of Natural Resources, Changsha 410000, China)

  • Mingming Geng

    (Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Technology Innovation Center for Ecological Conservation and Restoration in Dongting Lake Basin, Ministry of Natural Resources, Changsha 410000, China)

  • Pingyang Zhang

    (Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
    Technology Innovation Center for Ecological Conservation and Restoration in Dongting Lake Basin, Ministry of Natural Resources, Changsha 410000, China)

Abstract

Irrational land use has triggered many serious ecological problems worldwide, especially in regions where human–land conflicts are prominent. However, the driving mechanisms at different spatiotemporal scales vary and have not been addressed in detail. This study explored the variations of land use and landscape patterns from 1990 to 2020 in the Dongting Lake Ecological Economic Zone (DLEEZ) by land-use transfer matrix, landscape pattern indices methods, etc. We also combined the geographical detector and geographically and temporally weighted regression (GTWR) methods to analyze the spatiotemporal changes in driving forces of land-use changes. The results indicated that forest land, cropland, and wetland were the predominant land-use types, accounting for nearly 90% of the total. Cropland decreased by a total of 1787.55 km 2 during the 30-year period, and land-use changes mainly involved the conversion of cropland to other land-use types. The overall fragmentation of the regional landscape increased, with the fragmentation of forest land and cropland increasing. Land-use changes were mainly influenced by human activities like socio-economic and policy factors. Notably, the development of agriculture and aquaculture poses a threat to the maintenance of the area of wetland in the DLEEZ. This study provides a reliable scientific basis for mitigating land-use conflicts and rationally planning land use to formulate a sustainable development strategy for land resources in the DLEEZ.

Suggested Citation

  • Xiang Gao & Yonghong Xie & Yeai Zou & Feng Li & Zhengmiao Deng & Mingming Geng & Pingyang Zhang, 2025. "Spatiotemporal Evolution and Driving Mechanisms of Land Use in Regions with Frequent Human–Land Interactions: A Case Study in the Dongting Lake Area," Sustainability, MDPI, vol. 17(5), pages 1-19, February.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:1894-:d:1597913
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/5/1894/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/5/1894/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ren, Yang & Li, Zehong & Li, Jingnan & Dashtseren, A. & Li, Yu & Altanbagana, M., 2022. "Comparative analysis of driving forces of land use/cover change in the upper, middle and lower reaches of the Selenga River Basin," Land Use Policy, Elsevier, vol. 117(C).
    2. Jiahui Zhou & Peng Gao & Changxue Wu & Xingmin Mu, 2023. "Analysis of Land Use Change Characteristics and Its Driving Forces in the Loess Plateau: A Case Study in the Yan River Basin," Land, MDPI, vol. 12(9), pages 1-20, August.
    3. Yanhua Xie & Mitch Hunter & Ann Sorensen & Theresa Nogeire-McRae & Ryan Murphy & Justin P. Suraci & Stacy Lischka & Tyler J. Lark, 2023. "U.S. Farmland under Threat of Urbanization: Future Development Scenarios to 2040," Land, MDPI, vol. 12(3), pages 1-19, February.
    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. Yuanhe Yu & Liang Wang & Jinkuo Lin & Zijun Li, 2022. "Optimizing Agricultural Input and Production for Different Types of at-Risk Peasant Households: An Empirical Study of Typical Counties in the Yimeng Mountain Area of Northern China," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
    2. Kurt Smith & Frederick Cubbage, 2024. "Land Fragmentation and Heirs Property: Current Issues and Policy Responses," Land, MDPI, vol. 13(4), pages 1-18, April.
    3. Xuebin Zhang & Litang Yao & Jun Luo & Wenjuan Liang, 2022. "Exploring Changes in Land Use and Landscape Ecological Risk in Key Regions of the Belt and Road Initiative Countries," Land, MDPI, vol. 11(6), pages 1-22, June.
    4. Johnson, Kelsey K. & Parton, Lee & Nolte, Christoph & Williamson, Matt & Nogeire-McRae, Theresa & Paudel, Jayash & Brandt, Jodi, 2023. "Moving to the country: Understanding the effects of Covid-19 on property values and farmland development risk," Journal of Housing Economics, Elsevier, vol. 62(C).
    5. Dakota B. Walker & Alican Mertan & Joshua Farley & Donna Rizzo & Travis Reynolds, 2024. "Land Stewardship and Development Behaviors Under an Ecological-Impact-Weighted Land Value Tax Scheme: A Proof-of-Concept Agent-Based Model," Land, MDPI, vol. 13(11), pages 1-25, October.
    6. Tingyu Sun & Mingxia Ni & Yinuo Yang & Yu Fang & Jianxin Xia, 2024. "Spatiotemporal Changes and Driving Factors of Land Use/Land Cover (LULC) in the Wuding River Basin, China: Impacts of Ecological Restoration," Sustainability, MDPI, vol. 16(23), pages 1-22, November.
    7. Yongyu Zhao & Alimujiang Kasimu & Pengwen Gao & Hongwu Liang, 2022. "Spatiotemporal Changes in The Urban Landscape Pattern and Driving Forces of LUCC Characteristics in The Urban Agglomeration on The Northern Slope of The Tianshan Mountains from 1995 to 2018," Land, MDPI, vol. 11(10), pages 1-18, October.
    8. Zabel, Jeffrey & Phaneuf, Daniel J. & Krause, Andy, 2023. "Introduction to the Special Issue Property Value Analysis using ZTRAX: Applications under the Approaching Sunset," Journal of Housing Economics, Elsevier, vol. 62(C).
    9. Yajuan Wang & Yongheng Rao & Hongbo Zhu, 2022. "Revealing the Impact of Protected Areas on Land Cover Volatility in China," Land, MDPI, vol. 11(8), pages 1-16, August.

    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:5:p:1894-:d:1597913. 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.