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Simulating the Spatial Mismatch between Ecosystem Services’ (ESs’) Supply and Demand Based on Their Spatial Transfer in Urban Agglomeration Area, China

Author

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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)

  • Jianpeng Fan

    (School of Economics Management, Pingdingshan University, Pingdingshan 467000, China)

  • Yuanzheng Li

    (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)

  • Linan Sun

    (College of Resource and Environment, Henan University of Economics and Law, Zhengzhou 450046, China)

Abstract

Ecosystem service spatial transfer is considered a feature that can deliver ecosystem services at a distance to meet the demands in areas with uneven spatial distribution of natural and social economic development. The natural ES spatial transfer distance and intensity were simulated by using the modified breaking point model in the Central Plains urban agglomeration (CPUA) with the cities of Luoyang, Zhengzhou, Shangqiu, and Huaibei stretching across. It is shown that there is a spatial mismatch between ES supply from ecospace and its demands from cities; relying only on natural spatial transfer, none of the ESs of the ecospace can be transported to corresponding population centers; and a spatial gap between ES supply and demand is illustrated in urban agglomeration areas. Intercity cooperation in ecosystem management and landscape planning based on ES spatial transfer would be good choices for cities, giving full play to comparative advantages to achieve sustainable development for the entire CPUA.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1192-:d:875730
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    References listed on IDEAS

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    1. Luo, Xiangyu & Jiang, Peng & Yang, Jingyi & Jin, Jing & Yang, Jun, 2021. "Simulating PM2.5 removal in an urban ecosystem based on the social-ecological model framework," Ecosystem Services, Elsevier, vol. 47(C).
    2. Wenbo Cai & Tong Wu & Wei Jiang & Wanting Peng & Yongli Cai, 2020. "Integrating Ecosystem Services Supply–Demand and Spatial Relationships for Intercity Cooperation: A Case Study of the Yangtze River Delta," Sustainability, MDPI, vol. 12(10), pages 1-24, May.
    3. 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.
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    Cited by:

    1. Lei Gao & Jingran Zhang & Yu Tian & Xinyu Liu & Shuxin Guan & Yuhong Wu, 2023. "Study on the Impact of Collaborative Agglomeration of Manufacturing and Producer Services on PM 2.5 Pollution: Evidence from Urban Agglomerations in the Middle Reaches of the Yangtze River in China," IJERPH, MDPI, vol. 20(4), pages 1-18, February.

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