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Identification of Priority Areas for Improving Urban Ecological Carrying Capacity: Based on Supply–Demand Matching of Ecosystem Services

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  • Xueqi Wang

    (CMA Public Meteorological Service Centre, Beijing 100081, China
    CMA Wind and Solar Energy Centre, Beijing 100081, China
    State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Shuo Wang

    (Development Research Center of Surveying and Mapping, Ministry of Natural Resources of the People’s Republic of China, Beijing 100830, China)

  • Gengyuan Liu

    (State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
    Beijing Engineering Research Center for Watershed Environmental Restoration & Integrated Ecological Regulation, Beijing 100875, China)

  • Ningyu Yan

    (State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Qing Yang

    (Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China)

  • Bin Chen

    (State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
    Beijing Engineering Research Center for Watershed Environmental Restoration & Integrated Ecological Regulation, Beijing 100875, China)

  • Junhong Bai

    (State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
    Beijing Engineering Research Center for Watershed Environmental Restoration & Integrated Ecological Regulation, Beijing 100875, China)

  • Yan Zhang

    (State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
    Beijing Engineering Research Center for Watershed Environmental Restoration & Integrated Ecological Regulation, Beijing 100875, China)

  • Ginevra Virginia Lombardi

    (Department of Economics and Management, University of Florence Via delle Pandette 9, 50121 Florence, Italy)

Abstract

As the most concentrated area of human activities, cities consume many natural resources and discharge a large amount of waste into the natural environment, which has a huge environmental impact. Most of the ecological and environmental problems, such as environmental pollution, global climate change, and loss of biodiversity, are related to urban systems. How to coordinate urban development with the urban ecological carrying capacity is related to the destiny of the city itself, and also to whether its surrounding areas can successfully achieve the goal of high environmental quality and sustainable development. At present, the theory and methods of urban ecological carrying capacity research are relatively new, which has caused problems for policy makers in practical applications. This paper proposes a theoretical framework for urban ecological carrying capacity assessment based on the analysis of ecosystem services supply and demand. Combined with multi-source spatial data and spatial model methods, the supply and demand of ecosystem services were spatially quantified. The capital city of China, Beijing, was the case study area for this research. The spatial differentiation of the supply–demand relationship of ecosystem services is formed. The priority areas for ecological carrying capacity improvement at pixel scale and at the administrative level are obtained, respectively. The results show that the first priority area is concentrated in the center of the urban area, accounting for 31.11% of the total area of Beijing. According to the secondary zone and the specific ecosystem service type, the ecological carrying capacity improvement strategy of different zones is proposed. This study provides a new perspective for investigating urban ecological carrying capacity and for identifying the priority areas for ecological carrying capacity improvement, and helps the policy-makers to design tailored policy actions.

Suggested Citation

  • Xueqi Wang & Shuo Wang & Gengyuan Liu & Ningyu Yan & Qing Yang & Bin Chen & Junhong Bai & Yan Zhang & Ginevra Virginia Lombardi, 2022. "Identification of Priority Areas for Improving Urban Ecological Carrying Capacity: Based on Supply–Demand Matching of Ecosystem Services," Land, MDPI, vol. 11(5), pages 1-24, May.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:5:p:698-:d:810505
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    References listed on IDEAS

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    1. Irmi Seidl & Clem A. Tisdell, 2003. "Carrying capacity reconsidered: from Malthus' population theory to cultural carrying capacity," Chapters, in: Ecological and Environmental Economics, chapter 13, pages 192-206, Edward Elgar Publishing.
    2. Larondelle, Neele & Lauf, Steffen, 2016. "Balancing demand and supply of multiple urban ecosystem services on different spatial scales," Ecosystem Services, Elsevier, vol. 22(PA), pages 18-31.
    3. Jinpei Ou & Xiaoping Liu & Xia Li & Meifang Li & Wenkai Li, 2015. "Evaluation of NPP-VIIRS Nighttime Light Data for Mapping Global Fossil Fuel Combustion CO2 Emissions: A Comparison with DMSP-OLS Nighttime Light Data," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-20, September.
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    Cited by:

    1. Manshadi, Zahra Dehghan & Parivar, Parastoo & Sotoudeh, Ahad & Morovati Sharifabadi, Ali, 2024. "Modeling urban growth effects on carrying capacity in arid and semi-arid regions using system dynamics," Ecological Modelling, Elsevier, vol. 487(C).
    2. Zhiyuan Zhu & Zhikun Mei & Shilin Li & Guangxin Ren & Yongzhong Feng, 2022. "Evaluation of Ecological Carrying Capacity and Identification of Its Influencing Factors Based on Remote Sensing and Geographic Information System: A Case Study of the Yellow River Basin in Shaanxi," Land, MDPI, vol. 11(7), pages 1-17, July.

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