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Spatiotemporal Dynamics of Water Yield Service and Its Response to Urbanisation in the Beiyun River Basin, Beijing

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  • Jingwei Xu

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Shiliang Liu

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Shuang Zhao

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Xue Wu

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Xiaoyun Hou

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Yi An

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Zhenyao Shen

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

Abstract

Water-related ecosystem services are vitally important for growing mega-cities. However, accelerating urbanisation has brought many associated issues, such as rapid population growth, extensive land occupation and landscape pattern changes, which affect both the functions and services of regional ecosystems. To achieve sustainable urban ecological development, it is necessary to determine the impacts of urbanisation on water yield. In this study, the water yield ecosystem service of the Beiyun River Basin in Beijing was simulated by the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model and the Geographical Detector method (Geo-detector) was applied to obtain the contributions and temporal regularity of urbanisation impacts on water yield. The results indicated the following: (1) the water yield of the Beiyun River Basin increased from 9.52 × 10 8 m 3 in 2000 to 12.84 × 10 8 m 3 in 2010, with a growth rate of 34.9%; (2) the urbanisation level of the Beiyun River Basin increased from 2000 to 2010, and the selected five landscape indexes varied greatly with the continuously increasing patch density (PD), splitting index (SPLIT) and Shannon’s diversity index (SHDI); (3) during this decade, patch richness density (PRD), SHDI, aggregation index (AI), portion of construction land (CL) and average annual precipitation (AP) were the influencing factors that continuously contributed more than 30% of the spatial variability of water yield in the Beiyun River Basin; and (4) the explanatory power of the interaction between any two driving forces was greater than any single factor. Our results could provide scientific references and constructive advice for city water resource operation from a landscape perspective.

Suggested Citation

  • Jingwei Xu & Shiliang Liu & Shuang Zhao & Xue Wu & Xiaoyun Hou & Yi An & Zhenyao Shen, 2019. "Spatiotemporal Dynamics of Water Yield Service and Its Response to Urbanisation in the Beiyun River Basin, Beijing," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4361-:d:256953
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    References listed on IDEAS

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    1. Meirong Deng & Dehua Mao & Yeye Li & Ting Wang & Zui Hu, 2023. "Spatiotemporal Variation in Water-Related Ecosystem Services during 2000–2020 and Ecological Management Zoning in the Xiangjiang River Basin, China," Sustainability, MDPI, vol. 15(22), pages 1-23, November.
    2. Min Zong & Yuanman Hu & Miao Liu & Chunlin Li & Cong Wang & Xiaoying Ping, 2020. "Effects of Landscape Pattern Change on Water Yield and Nonpoint Source Pollution in the Hun-Taizi River Watershed, China," IJERPH, MDPI, vol. 17(9), pages 1-18, April.
    3. Jiamin Liu & Hao Wang & Butian Tang & Le Hui & Weijuan Zhang & Liwei Zhang & Lei Jiao, 2023. "Analysis of Temporal and Spatial Dynamics of Ecosystem Services and Trade-Offs/Synergies during Urbanization in the Loess Plateau, China," Land, MDPI, vol. 12(12), pages 1-19, December.
    4. Guoyi Cui & Yan Zhang & Feihang Shi & Wenxia Jia & Bohua Pan & Changkun Han & Zhengze Liu & Min Li & Haohao Zhou, 2022. "Study of Spatiotemporal Changes and Driving Factors of Habitat Quality: A Case Study of the Agro-Pastoral Ecotone in Northern Shaanxi, China," Sustainability, MDPI, vol. 14(9), pages 1-23, April.

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