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Key Factors Affecting Carbon-Saving Intensity and Efficiency Based on the Structure of Green Space

Author

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  • Guohao Zhang

    (School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China)

  • Chenyu Du

    (College of Landscape Architecture and Art and International Union Laboratory of Landscape Architecture, Henan Agricultural University, Zhengzhou 450002, China
    Department of Landscape Planning and Regional Development, Institute of Landscape Architecture, Urban Planning and Garden Art, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary)

  • Shidong Ge

    (College of Landscape Architecture and Art and International Union Laboratory of Landscape Architecture, Henan Agricultural University, Zhengzhou 450002, China)

Abstract

Urban green spaces (UGSs) play a critical role in regulating global carbon cycling and mitigating the increase in atmospheric CO 2 concentrations. Research increasingly demonstrates that UGSs not only sequester carbon through photosynthesis but also effectively save carbon emissions by mitigating the urban heat island (UHI) effect. However, understanding the carbon-saving capacity (CSC) and the role of landscape patterns of UGSs in warming cities remains limited. Therefore, we have evaluated the carbon-saving capacity of UGSs in the main urban area of Shangqiu City by utilizing high-resolution remote sensing data and machine learning techniques. The study has focused on green patches larger than 10,000 m 2 and has analyzed the influence of landscape patterns of UGSs on carbon saving intensity (CSI) and carbon saving efficiency (CSE). The results reveal that the total CSI and the average CSE of UGSs are 7716 t CO 2 and 2.9 t CO 2 ha −1 in Shangqiu, respectively. Landscape patterns of UGSs can explain 82% and 64% of the variability in CSI and CSE variance, respectively. Specifically, green space area is the critical determinant of CSI and CSE, followed by the perimeter–area ratio, shape index, and fractal dimension of UGSs. Therefore, this study advocates for the strategic integration of UGSs into city planning, emphasizing their spatial distribution and configuration to maximize their cooling and carbon-saving capacity.

Suggested Citation

  • Guohao Zhang & Chenyu Du & Shidong Ge, 2024. "Key Factors Affecting Carbon-Saving Intensity and Efficiency Based on the Structure of Green Space," Land, MDPI, vol. 13(8), pages 1-19, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1297-:d:1457635
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    References listed on IDEAS

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    1. Gabriele Manoli & Simone Fatichi & Markus Schläpfer & Kailiang Yu & Thomas W. Crowther & Naika Meili & Paolo Burlando & Gabriel G. Katul & Elie Bou-Zeid, 2019. "Magnitude of urban heat islands largely explained by climate and population," Nature, Nature, vol. 573(7772), pages 55-60, September.
    2. Jianwei Gao & Haiting Han & Shidong Ge, 2023. "Carbon-Saving Potential of Urban Parks in the Central Plains City: A High Spatial Resolution Study Using a Forest City, Shangqiu, China, as a Lens," Land, MDPI, vol. 12(7), pages 1-19, July.
    3. Jamei, Elmira & Rajagopalan, Priyadarsini & Seyedmahmoudian, Mohammadmehdi & Jamei, Yashar, 2016. "Review on the impact of urban geometry and pedestrian level greening on outdoor thermal comfort," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1002-1017.
    4. Kong, Fanhua & Sun, Changfeng & Liu, Fengfeng & Yin, Haiwei & Jiang, Fei & Pu, Yingxia & Cavan, Gina & Skelhorn, Cynthia & Middel, Ariane & Dronova, Iryna, 2016. "Energy saving potential of fragmented green spaces due to their temperature regulating ecosystem services in the summer," Applied Energy, Elsevier, vol. 183(C), pages 1428-1440.
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