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Cultivated Land Change, Driving Forces and Its Impact on Landscape Pattern Changes in the Dongting Lake Basin

Author

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  • Junhan Li

    (College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, Hunan, China)

  • Kaichun Zhou

    (College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, Hunan, China)

  • Huimin Dong

    (College of Resources and Environment, Shandong Agricultural University, Taian 271018, China)

  • Binggeng Xie

    (College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, Hunan, China)

Abstract

Comprehending the dynamic change characteristics of land use/cover and the driving factors causing the change are prerequisites for protecting land resources. This paper analyzes changes in cultivated land, the driving factors that cause them, and their tremendous impact on landscape pattern changes in the Dongting Lake Basin. For this purpose, we used mathematical statistics, buffer analysis, trend analysis, landscape pattern index, and logistic regression model to analyze the land use data of the study area from 1980 to 2018. The results show that the cultivated land showed a decreasing trend, with the total area decreased by 4.76% (or 716.13 km 2 ) from 1980 to 2018, and the activity of mutual transformation with other land use types decreased. The spatial distribution pattern of cultivated land and landscape shows the change characteristics gradually from Dongting Lake to the surroundings. Among the driving factors of cultivated land changes, the influence of human activities was gradually increasing, while the natural factors were decreasing. The cultivated land landscape pattern index and the overall landscape pattern index have a significant positive correlation, showing relatively consistent change trend and spatial distribution characteristics. We believe that the decrease of cultivated land area has a certain relationship with the increase of landscape fragmentation in the Dongting Lake Basin. Our research is expected to provide a reference for strengthening regional cultivated land management and rational development and utilization of regional land resources.

Suggested Citation

  • Junhan Li & Kaichun Zhou & Huimin Dong & Binggeng Xie, 2020. "Cultivated Land Change, Driving Forces and Its Impact on Landscape Pattern Changes in the Dongting Lake Basin," IJERPH, MDPI, vol. 17(21), pages 1-25, October.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:7988-:d:437653
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    References listed on IDEAS

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    Cited by:

    1. Yifang Wang & Linlin Cheng & Yang Zheng, 2023. "An Adjusted Landscape Ecological Security of Cultivated Land Evaluation Method Based on the Interaction between Cultivated Land and Surrounding Land Types," Land, MDPI, vol. 12(4), pages 1-20, April.
    2. Ning He & Wenxian Guo & Hongxiang Wang & Long Yu & Siyuan Cheng & Lintong Huang & Xuyang Jiao & Wenxiong Chen & Haotong Zhou, 2023. "Temporal and Spatial Variations in Landscape Habitat Quality under Multiple Land-Use/Land-Cover Scenarios Based on the PLUS-InVEST Model in the Yangtze River Basin, China," Land, MDPI, vol. 12(7), pages 1-19, July.
    3. Junjun Zhi & Xinyue Cao & Wangbing Liu & Yang Sun & Da Xu & Caiwei Da & Lei Jin & Jin Wang & Zihao Zheng & Shuyuan Lai & YongJiao Liu & Guohai Zhu, 2023. "Remote Sensing Monitoring and Spatial Pattern Analysis of Non-Grain Production of Cultivated Land in Anhui Province, China," Land, MDPI, vol. 12(8), pages 1-21, July.
    4. Xigui Li & Pengnan Xiao & Yong Zhou & Jie Xu & Qing Wu, 2022. "The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains," IJERPH, MDPI, vol. 19(22), pages 1-34, November.
    5. Xiaofu Lin & Hui Fu, 2022. "Spatial-Temporal Evolution and Driving Forces of Cultivated Land Based on the PLUS Model: A Case Study of Haikou City, 1980–2020," Sustainability, MDPI, vol. 14(21), pages 1-16, November.
    6. Guoming Du & Xiaoyang Wang & Jieyong Wang & Yaqun Liu & Haonan Zhang, 2023. "Analysis of the Spatial–Temporal Pattern of the Newly Increased Cultivated Land and Its Vulnerability in Northeast China," Land, MDPI, vol. 12(4), pages 1-17, March.

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