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Characteristics Analysis and Prediction of Land Use Evolution in the Source Region of the Yangtze River and Yellow River Based on Improved FLUS Model

Author

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  • Haoyue Gao

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    Hebei Province Key Laboratory of Wisdom Water Conservancy, Hebei University of Engineering, Handan 056038, China)

  • Tianling Qin

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Qinghua Luan

    (Hebei Province Key Laboratory of Wisdom Water Conservancy, Hebei University of Engineering, Handan 056038, China
    State Key Laboratory of Hydrology and Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Jianming Feng

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Xiuyan Zhang

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Yuhui Yang

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Shu Xu

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Jie Lu

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

Abstract

Climate change profoundly alters land use in alpine regions, and delving into the evolutionary characteristics of these changes is crucial for the sustainable development of regional land resources and the gradual enhancement of the ecological environment. Taking the source region of the Yangtze and Yellow River (SRYAYE) as a case study, we integrate permafrost and snowfall data into the Future Land Use Simulation model (FLUS). Analyzing historical land use, we predict and simulate the land use scenarios for 2030, 2035, and 2060 under SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 climates, and conduct a detailed analysis of the scale, composition, and pattern of land use in this area. Scale. The results showed that ① the Kappa coefficient of the improved FLUS model was higher than 0.927, and that the overall accuracy of the simulation was increased by 2.64%; ② the area of forest land and the high-coverage grassland will increase in the future and the center of gravity will migrate to the west, and that the area of moderate and low-coverage grassland will slightly decrease but tend to become green to the west; and ③ the fragmentation degree of the SRYAYE is decreasing, and the influence of human activities on the landscape pattern is weaker than in the past.

Suggested Citation

  • Haoyue Gao & Tianling Qin & Qinghua Luan & Jianming Feng & Xiuyan Zhang & Yuhui Yang & Shu Xu & Jie Lu, 2024. "Characteristics Analysis and Prediction of Land Use Evolution in the Source Region of the Yangtze River and Yellow River Based on Improved FLUS Model," Land, MDPI, vol. 13(3), pages 1-21, March.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:393-:d:1360300
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    References listed on IDEAS

    as
    1. Sai Hu & Longqian Chen & Long Li & Ting Zhang & Lina Yuan & Liang Cheng & Jia Wang & Mingxin Wen, 2020. "Simulation of Land Use Change and Ecosystem Service Value Dynamics under Ecological Constraints in Anhui Province, China," IJERPH, MDPI, vol. 17(12), pages 1-21, June.
    2. Zhouling Shao & Chunyan Chen & Yuanli Liu & Jie Cao & Guitang Liao & Zhengyu Lin, 2023. "Impact of Land Use Change on Carbon Storage Based on FLUS-InVEST Model: A Case Study of Chengdu–Chongqing Urban Agglomeration, China," Land, MDPI, vol. 12(8), pages 1-17, August.
    3. Jin, Hong & Li, Heping & Lee, Jia & Sun, Weitong, 2023. "Simulation analysis of rural land use using rate of change driven by population and economic dynamics - A case study of Huangguashan village in Chongqing, China," Ecological Modelling, Elsevier, vol. 475(C).
    4. Jiahui Li & Xinliang Xu, 2023. "Glacier Change and Its Response to Climate Change in Western China," Land, MDPI, vol. 12(3), pages 1-13, March.
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