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Coupling Coordination Relationship and Driving Mechanism between Urbanization and Ecosystem Service Value in Large Regions: A Case Study of Urban Agglomeration in Yellow River Basin, China

Author

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  • Kaili Zhang

    (College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China)

  • Tan Liu

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

  • Rongrong Feng

    (College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China)

  • Zhicheng Zhang

    (College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China)

  • Kang Liu

    (College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
    National Forestry and Grassland Administration Urban Forest Ecosystem Research Station, Xi’an 710127, China)

Abstract

Mastering the coupling and coordination relationship and driving mechanism of urbanization and ecosystem service value (ESV) is of great significance to ecological protection and regional sustainable development. In this paper, the coupling coordination model, geographic detector and GWR model are used to analyze the spatio-temporal coupling interaction between urbanization and ESV and the spatial differentiation characteristics of influencing factors from 1995 to 2018. The results of the study are as follows: (1) During the study period, cities in the Yellow River Basin experienced accelerated urban expansion, and the ESV of forests, water and wetlands increased, which offset the reduction in ESV due to the expansion of construction land and farmland and grassland. (2) The degree of coupling and coordination between the two gradually improved, but the overall situation showed a low-level coupling and coordination process. Mild coupling coordination gradually increased, reaching an increase of 38.10%; severe imbalance types tended to disappear, decreasing by 52.38%, and coupling subtypes developed from lagging urbanization to ESV backward types. The high-value areas of the coupling coordination degree are distributed in the high-value areas of ESV in the north of the upper reaches, and the low-value areas are distributed in the cities of Henan and Shandong with high urbanization levels in the downstream and most resource-based cities in the middle reaches. (3) In addition, the spatial intensity of the effect of each dominant factor on the degree of coupling coordination is different. Economic growth, technological development, environmental regulations and the proportion of forest land have positive and belt-shaped alienation characteristics for the coupling and coordination of the two, and infrastructure and temperature show negative driving characteristics. Therefore, the coupling and coordination relationship between ESV and urbanization should be clarified to help future urban planning. On the basis of determining the regional environmental carrying capacity and the adjustment direction of the rational planning of land resources, the impact of urban barriers formed by administrative boundaries and natural geographical conditions on the development of urban agglomerations should be broken to achieve the overall high-quality and coordinated development of the basin.

Suggested Citation

  • Kaili Zhang & Tan Liu & Rongrong Feng & Zhicheng Zhang & Kang Liu, 2021. "Coupling Coordination Relationship and Driving Mechanism between Urbanization and Ecosystem Service Value in Large Regions: A Case Study of Urban Agglomeration in Yellow River Basin, China," IJERPH, MDPI, vol. 18(15), pages 1-26, July.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:7836-:d:600277
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    References listed on IDEAS

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    Cited by:

    1. Yudan Zhang & Yuanqing Li & Yanan Chen & Shirao Liu & Qingyuan Yang, 2022. "Spatiotemporal Heterogeneity of Urban Land Expansion and Urban Population Growth under New Urbanization: A Case Study of Chongqing," IJERPH, MDPI, vol. 19(13), pages 1-25, June.
    2. Liang Geng & Xinyue Zhao & Yu An & Lingtong Peng & Dan Ye, 2022. "Study on the Spatial Interaction between Urban Economic and Ecological Environment—A Case Study of Wuhan City," IJERPH, MDPI, vol. 19(16), pages 1-17, August.
    3. Kaili Zhang & Rongrong Feng & Zhicheng Zhang & Chun Deng & Hongjuan Zhang & Kang Liu, 2022. "Exploring the Driving Factors of Remote Sensing Ecological Index Changes from the Perspective of Geospatial Differentiation: A Case Study of the Weihe River Basin, China," IJERPH, MDPI, vol. 19(17), pages 1-25, September.
    4. Hui Yang & Liang Zheng & Ying Wang & Jiangfeng Li & Bowen Zhang & Yuzhe Bi, 2022. "Quantifying the Relationship between Land Use Intensity and Ecosystem Services’ Value in the Hanjiang River Basin: A Case Study of the Hubei Section," IJERPH, MDPI, vol. 19(17), pages 1-22, September.
    5. Tongning Li & Daozheng Li & Diling Liang & Simin Huang, 2022. "Coupling Coordination Degree of Ecological-Economic and Its Influencing Factors in the Counties of Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(22), pages 1-21, November.

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