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Spatio-Temporal Dynamic Impacts of Land Use/Cover Change on Eco-Environment Quality in Li River Basin, China

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  • Yaming Fan

    (College of Tourism & Landscape Architecture, Guilin University of Technology, Guilin 541004, China)

  • Minghang Wei

    (College of Tourism & Landscape Architecture, Guilin University of Technology, Guilin 541004, China)

  • Minqing Li

    (College of Tourism & Landscape Architecture, Guilin University of Technology, Guilin 541004, China)

  • Zimei Su

    (College of Tourism & Landscape Architecture, Guilin University of Technology, Guilin 541004, China)

  • Hui Liu

    (College of Tourism & Landscape Architecture, Guilin University of Technology, Guilin 541004, China)

Abstract

Clarifying the spatio-temporal evolution characteristics of eco-environment quality (EEQ) under land use/cover change (LUCC) and its coordinated relationship is of great importance for formulating reliable environmental protection strategies and measures to promote regional sustainable development. Most studies have emphasized the importance of LUCC for regional ecological quality. However, deeply unraveling the complex interrelationships between them remains a significant challenge, particularly in ecologically fragile regions like the Li River Basin. Therefore, based on the historical land use data and the remote sensing ecological index (RSEI) of the Li River Basin from 1990 to 2020, we analyzed the spatio-temporal evolution characteristics of EEQ and LUCC, and explored the influences and non-linear effects between them by using the bivariate spatial autocorrelation and XGBoost model. The key findings are as follows: (1) Land use/cover (LUC) in the Li River Basin was predominantly characterized by forestland and cropland, which together accounted for approximately 97% of the region. The interconversion between forestland and cropland represented the primary form of regional LUCC, while built-up land demonstrated a growth trend by encroaching on cropland. (2) The EEQ exhibited a volatile upward trend within the research period, with an average RSEI value of 0.5891, indicating a generally favorable ecological condition. (3) A significant negative spatial correlation was observed between land use intensity (LUI) and the RSEI, characterized by H–L, L–H, and non-significant clusters. (4) There was a distinct non-linear relationship that existed between LUCC and the RSEI, underscoring that appropriately regulating regional land use scale can help maintain ecological balance. These findings provide a scientific basis for optimizing land spatial management models and formulating policies to improve ecological environment quality, while also offering a new framework and reference for further ecological research on EEQ influencing factors and driving mechanisms.

Suggested Citation

  • Yaming Fan & Minghang Wei & Minqing Li & Zimei Su & Hui Liu, 2025. "Spatio-Temporal Dynamic Impacts of Land Use/Cover Change on Eco-Environment Quality in Li River Basin, China," Sustainability, MDPI, vol. 17(3), pages 1-30, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:3:p:1299-:d:1584356
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    References listed on IDEAS

    as
    1. Tianxiang Long & Zhuhui Bai & Bohong Zheng, 2024. "Spatiotemporal Dynamics and Driving Forces of Ecological Environment Quality in Coastal Cities: A Remote Sensing and Land Use Perspective in Changle District, Fuzhou," Land, MDPI, vol. 13(9), pages 1-20, August.
    2. Yilu Zhao & Aidi Huo & Zhixin Zhao & Qi Liu & Xuantao Zhao & Yuanjia Huang & Jialu An, 2024. "Novel Method for Evaluating Wetland Ecological Environment Quality Based on Coupled Remote Sensing Ecological Index and Landscape Pattern Indices: Case Study of Dianchi Lake Wetlands, China," Sustainability, MDPI, vol. 16(22), pages 1-18, November.
    3. Zhongqian Zhang & Huanli Pan & Yaqun Liu & Shuangqing Sheng, 2024. "Ecosystem Services’ Response to Land Use Intensity: A Case Study of the Hilly and Gully Region in China’s Loess Plateau," Land, MDPI, vol. 13(12), pages 1-25, November.
    4. Xinhai Lu & Yuejiao Chen & Xiangyu Fan & Xinpeng Liu, 2024. "Effects of Land Use Transition on Regional Ecological Environment—A Case Study of Zhaosu County, Xinjiang," Land, MDPI, vol. 13(12), pages 1-20, December.
    5. Chenmingyang Jiang & Xinyu Du & Jun Cai & Hao Li & Qibing Chen, 2024. "Study on the Evolution and Prediction of Land Use and Landscape Patterns in the Jianmen Shu Road Heritage Area," Land, MDPI, vol. 13(12), pages 1-22, December.
    6. Huijuan Wang & Zhiguo Qi & Haiming Yan & Huicai Yang, 2024. "Variation Characteristics of Land Use Change Within the Beijing–Tianjin–Hebei Region During 1985–2022," Land, MDPI, vol. 13(12), pages 1-21, November.
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