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Study on Ecosystem Service Value (ESV) Spatial Transfer in the Central Plains Urban Agglomeration in the Yellow River Basin, China

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  • Min Liu

    (College of Resource and Environment, Henan University of Economics and Law, Zhengzhou 450046, China
    Academician Laboratory for Urban and Rural Spatial Data Mining of Henan Province, Henan University of Economics and Law, Zhengzhou 450046, China
    Research Center for Coordinated Economic Development of the Yellow River Basin, Henan University of Economics and Law, Zhengzhou 450046, China)

  • Jianpeng Fan

    (College of Business Administration, Henan University of Animal Husbandry and Economy, Zhengzhou 450046, China)

  • Yating Wang

    (Chengdu Academy of Environmental Sciences, Chengdu 610000, China)

  • Chanjuan Hu

    (Institute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou 450052, China)

Abstract

Urban agglomeration is the key area to realizing regional sustainable development. Timely and accurate assessment of its ESV spatial transfer can provide a scientific basis for intercity environmental cooperation to solve transboundary environmental problems. The ESV and its spatial transfer characteristics in the Central Plains Urban Agglomeration in 2000 and 2018 were quantified by introducing the breaking point model. The findings were as follows: Firstly, taking the central city of Zhengzhou as the transferred-in area, ESV spatial transfer distributions and changes presented a trend of hinterland > metropolitan area. Secondly, the ESV spatial transfer intensity from the metropolitan area to the central city presented an increase trend, with an increase of RMB 498,400–1,053,000/km 2 , and the ESV spatial transfer intensity from the hinterland to the central city presented a decrease trend, with a decrease of RMB 15,200–814,000/km 2 in contrast. Thirdly, a total of RMB 294.763–331.471 billion worth of ESV has been transferred, and only that worth RMB 0.534–1.716 billion reached the central city, accounting for 0.181–0.518% of the total ESV transferred and 2.760–17.482% of the central city’s ESV. Fourthly, the ESV spatial transfer radius of each city was 25.47–214.17 km, but the ESV spatial transfer range of a few cities could reach the central city. Lastly, there was inefficiency in the ESV spatial transfer only in the natural driving spatial transfer pattern due to the spatial heterogeneity of ESV distribution, and there was potential for strengthening the ecological interactions based on space guidance provided by ESV spatial transfer.

Suggested Citation

  • Min Liu & Jianpeng Fan & Yating Wang & Chanjuan Hu, 2021. "Study on Ecosystem Service Value (ESV) Spatial Transfer in the Central Plains Urban Agglomeration in the Yellow River Basin, China," IJERPH, MDPI, vol. 18(18), pages 1-27, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:18:p:9751-:d:636857
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    References listed on IDEAS

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    Cited by:

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    2. Jing Zhuge & Jie Zeng & Wanxu Chen & Chi Zhang, 2023. "Impacts of Land-Use Change on Ecosystem Services Value in the South-to-North Water Diversion Project, China," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
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    4. Min Liu & Jianpeng Fan & Yuanzheng Li & Qizheng Mao, 2023. "Ecosystem Service Optimisation in the Central Plains Urban Agglomeration Based on Land Use Structure Adjustment," Land, MDPI, vol. 12(7), pages 1-27, July.
    5. Min Liu & Jianpeng Fan & Yuanzheng Li & Linan Sun, 2022. "Simulating the Spatial Mismatch between Ecosystem Services’ (ESs’) Supply and Demand Based on Their Spatial Transfer in Urban Agglomeration Area, China," Land, MDPI, vol. 11(8), pages 1-19, July.
    6. Lin Ji & Yuanjing Qi & Qun’ou Jiang & Chunhong Zhao, 2024. "Spatial–Temporal Variations of the Gross Ecosystem Product under the Influence of the Spatial Spillover Effect of Urbanization and Ecological Construction in the Yangtze River Delta Region of China," Land, MDPI, vol. 13(6), pages 1-21, May.
    7. Ruijie Zhang & Kanhua Yu & Pingping Luo, 2024. "Spatio-Temporal Relationship between Land Use Carbon Emissions and Ecosystem Service Value in Guanzhong, China," Land, MDPI, vol. 13(1), pages 1-21, January.
    8. Jizhe Zhou & Yanhong Jiang & Shaolin Niu & Lan Li & Weijia Li & Yahui Zhang & Dongyang Liu, 2023. "Spatial Optimization of Rural Settlements in a Small Watershed Based on Social Network Analysis," Networks and Spatial Economics, Springer, vol. 23(3), pages 799-823, September.

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