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Spatial–Temporal Heterogeneity of Urbanization and Ecosystem Services in the Yellow River Basin

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  • Zhongwu Zhang

    (College of Geographic Science, Shanxi Normal University, Taiyuan 030031, China
    Institute of Human Geography, Shanxi Normal University, Taiyuan 030031, China
    Institute of Ecology and Environment of Yellow River Basin, Taiyuan 030031, China)

  • Jinyuan Zhang

    (College of Geographic Science, Shanxi Normal University, Taiyuan 030031, China)

  • Liping Liu

    (College of Geographic Science, Shanxi Normal University, Taiyuan 030031, China)

  • Jian Gong

    (College of Geographic Science, Shanxi Normal University, Taiyuan 030031, China)

  • Jinqiang Li

    (College of Geographic Science, Shanxi Normal University, Taiyuan 030031, China)

  • Lei Kang

    (College of Geographic Science, Shanxi Normal University, Taiyuan 030031, China
    Institute of Human Geography, Shanxi Normal University, Taiyuan 030031, China
    Institute of Ecology and Environment of Yellow River Basin, Taiyuan 030031, China)

Abstract

Taking 736 counties in the Yellow River Basin of China as the research area, the comprehensive urbanization development level and ecosystem service capacity from 2000 to 2020 were measured. Combined with spatial autocorrelation, the spatial pattern evolution characteristics of the two systems in the Yellow River Basin were revealed. The spatio–temporal geographically weighted regression (GTWR) model was used to analyze the spatio–temporal heterogeneity of the impact of various elements of the system on urbanization and ecosystem service capacity. The results showed that (1) the urbanization level and ecosystem service capacity of the Yellow River Basin were on the rise but the urbanization level and ecosystem service capacity were low, while the spatial and temporal heterogeneity was significant. (2) The two systems are positively correlated in space, and the agglomeration characteristics are significant. The evolution trend of urbanization from an L–L agglomeration area to an H–H agglomeration area is occurring gradually. The spatial change in the ecosystem service agglomeration area is small, and the stability is strong. (3) The impact of ecosystem services on comprehensive urbanization is enhanced by time, and the spatial ‘center–periphery’ diffusion characteristics are significant. (4) The influence of urbanization on the comprehensive ecosystem service capacity is enhanced and shows the law of east–west differentiation in space. There are obvious transition zones in the spatial heterogeneity interval of the interaction between the two systems.

Suggested Citation

  • Zhongwu Zhang & Jinyuan Zhang & Liping Liu & Jian Gong & Jinqiang Li & Lei Kang, 2023. "Spatial–Temporal Heterogeneity of Urbanization and Ecosystem Services in the Yellow River Basin," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3113-:d:1062152
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    1. Zhe Cheng & Anni Tang & Jianming Cai & Tao Song, 2022. "Exploring the High-Quality County-Level Development and Governance Response for Farming–Pastoral Ecotone in China: A Case Study of Kulun," Agriculture, MDPI, vol. 12(12), pages 1-18, November.
    2. Yingtao Wu & Maogang Tang & Zhonghao Zhang & Baijun Wu, 2019. "Whether Urban Development and Ecological Protection Can Achieve a Win-Win Situation—The Nonlinear Relationship between Urbanization and Ecosystem Service Value in China," Sustainability, MDPI, vol. 11(12), pages 1-15, June.
    3. Weiwei Xie & Hongbing Deng & Zhaohui Chong, 2019. "The Spatial and Heterogeneity Impacts of Population Urbanization on Fine Particulate (PM 2.5 ) in the Yangtze River Economic Belt, China," IJERPH, MDPI, vol. 16(6), pages 1-17, March.
    4. Zhongwu Zhang & Yuanfang Liu, 2022. "Spatial Expansion and Correlation of Urban Agglomeration in the Yellow River Basin Based on Multi-Source Nighttime Light Data," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    5. Tong Liu & Yufei Gao & Hui Li & Liping Zhang & Jiangjie Sun, 2022. "Analysis of the Operational Efficiency of Basic Medical Insurance for Urban and Rural Residents: Based on a Three-Stage DEA Model," IJERPH, MDPI, vol. 19(21), pages 1-20, October.
    6. Xiaoyan Li & Yaxin Tan & Kang Tian, 2022. "The Impact of Environmental Regulation, Industrial Structure, and Interaction on the High-Quality Development Efficiency of the Yellow River Basin in China from the Perspective of the Threshold Effect," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    7. Pao, Hsiao-Tien & Chen, Haipeng (Allan) & Li, Yi-Ying, 2015. "Competitive dynamics of energy, environment, and economy in the U.S," Energy, Elsevier, vol. 89(C), pages 449-460.
    8. Can Yang & Tianxing Wei & Yiran Li, 2022. "Simulation and Spatio-Temporal Variation Characteristics of LULC in the Context of Urbanization Construction and Ecological Restoration in the Yellow River Basin," Sustainability, MDPI, vol. 14(2), pages 1-19, January.
    9. Dan Wu & Changxin Zou & Wei Cao & Lulu Liu, 2018. "Analysis of the Ecosystem Soil Conservation Function Based on the Major Function-Oriented Zones across the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 10(10), pages 1-15, September.
    10. Zhongwu Zhang & Tianying Chang & Xuning Qiao & Yongju Yang & Jing Guo & Han Zhang, 2021. "Eco-Economic Coordination Analysis of the Yellow River Basin in China: Insights from Major Function-Oriented Zoning," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    11. Yangcheng Hu & Yi Liu & Zhongyue Yan, 2022. "Research Regarding the Coupling and Coordination Relationship between New Urbanization and Ecosystem Services in Nanchang," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
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    Cited by:

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