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Research on the coupling coordination of land use and eco-resilience based on entropy weight method: a case study on Dianchi Lake Basin

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Abstract

Recently, rapid urbanization has contributed to an increasingly dominant trend of people congregating around river basins. As a result, significant changes in land use structure occur, leading to alterations in ecosystem structure and gradual degradation of ecological service functions. Using the DLB (Dianchi Lake Basin) in southwestern China as the research area, this essay analyzed its land use structure in 2020 and constructed an urban eco-resilience evaluation system based on the three dimensions of “resistibility, adaptability, and recuperability” derived from the eco-resilience theory. Meanwhile, the physical coupling model was used to calculate the coupling coordination degree of land use and eco-resilience in the area. Research shows: (1) the DLB is a complete and relatively independent ecosystem, with diverse land use types in the watershed, and the land use structure of the watershed is related to altitude and economic development; (2) the overall eco-resilience of the area has significant spatial differences in distribution. The eco-resilience of the lakeside built-up area is the lowest eco-resilience, and the regions with higher resilience are primarily those surrounding the lake or hills. (3) According to the coupling coordination degree model, the calculated coupling degree of land use and eco-resilience is 0.49, and the coordination degree is 0.38, indicating early stages of the coupling coordination progress. This paper developed a comprehensive evaluation model of land use and river basin eco-resilience, and studied the coupling relationship between the two. This holds theoretical and practical significance for ecological protection and sustainable development of DLB.

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Acknowledgements

This research was made possible through the generous support of several grants: National Natural Science Foundation of China (Grant No. 72361035), Open Research Fund of Yangtze River Scientific Research Institute (Grant No. CKWV20221029/KY), Yunnan Province Industry Education Integration Postgraduate Joint Training Base Project (2022), Science and Technology Plan Project of Yunnan Provincial Department of Housing and Urban-Rural Development (Grant No. K00000135), Yunnan University Graduate Ideological and Political Demonstration Course Project (Grant No. KCSZ202301). We are grateful for the support from South Surveying & Mapping Technology Co., Ltd. (SOUTH) in Guangzhou, as well as Kunming Surveying and Mapping Institute for their technological support. We also extend our appreciation to the industry experts and scholars for their assistance in completing this article.

Funding

This research was supported by several grants: National Natural Science Foundation of China (Grant No. 72361035), Open Research Fund of Yangtze River Scientific Research Institute (Grant No. CKWV20221029/KY), Yunnan Province Industry Education Integration Postgraduate Joint Training Base Project (2022), Science and Technology Plan Project of Yunnan Provincial Department of Housing and Urban-Rural Development (Grant No. K00000135), Yunnan University Graduate Ideological and Political Demonstration Course Project (Grant No. KCSZ202301).

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Authors and Affiliations

  1. School of Earth Sciences, Yunnan University, Kunming, 650504, China

    Zhanting Deng, Zhiqiang Xie, Fengshan Jiang & Tong Xu

  2. Institute of International Rivers and Eco-Security, Yunnan University, Kunming, 650504, China

    Jiarui Xu & Shouquan Yang

  3. Kunming Surveying and Mapping Institute, Kunming, 650506, China

    Jianglong He & Zhiqun Hou

  4. Kunming Surveying and Mapping Management Center, Kunming, 650599, China

    Lei Zhao

  5. School of Continuing Education, West Yunnan University of Applied Sciences, Dali, 671000, China

    Yuhan Chen

  6. Spatial Information Branch, Yunnan Institute of Water & Hydropower Engineering lnvestigation, Design and Research, Kunming, 650021, China

    Tong Xu

  7. Chongqing Planning and Natural Resources Survey and Monitoring Institute, Chongqing, 401121, China

    Shouquan Yang

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  1. Zhanting Deng
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  9. Jianglong He
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Contributions

Zhanting wrote the paper and processed the data, Zhiqiang, Yuhan, Jianglong and Zhiqun provided guidance for this paper, Shouquan corrected the chart, Tong Xu revised the language, Fengshan and Jiarui standardized some data, and Lei Zhao provided part of data. All the authors discussed the results and contributed to the final manuscript.

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Correspondence to Zhiqiang Xie.

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Deng, Z., Xie, Z., Jiang, F. et al. Research on the coupling coordination of land use and eco-resilience based on entropy weight method: a case study on Dianchi Lake Basin. Landscape Ecol Eng 20, 129–145 (2024). https://doi.org/10.1007/s11355-023-00585-3

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