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Estimation and Differential Analysis of the Carbon Sink Service Radius of Urban Green Spaces in the Beijing Plain Area

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  • Shurui Gao

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Peiyuan Tao

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Zhiming Zhao

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Xinyue Dong

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Jiayan Li

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Peng Yao

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

Abstract

Enhancing the carbon sink capacity of urban green spaces is considered an effective means of reducing carbon dioxide concentration. This study, employing xCO 2 as a key indicator and utilizing buffer analysis, estimated the carbon sink service radius of urban green spaces. Using spatial zoning and multifactor analysis, this research statistically analyzed 15 indicators, exploring the differences in carbon sink service radius from both the dimensions of urban green spaces and urban zones. The findings indicate that the carbon sink service radius is a result of the combined effect of urban green spaces and adjacent urban areas. Urban green space area, the NPP (net primary productivity) of urban zones, forest proportion, and grassland proportion are positively correlated with the carbon sink service radius, and the correlation degree is 0.12, 0.095, 0.121, and 0.125, respectively. The proportion of grassland and the proportion of impervious area in the city have a significant negative correlation with the carbon sink service radius, and the correlation degree is −0.074 and −0.081, respectively. This research holds significant implications for enhancing the carbon sink capacity of urban green spaces, adjusting land use patterns, and promoting the sustainable development of cities.

Suggested Citation

  • Shurui Gao & Peiyuan Tao & Zhiming Zhao & Xinyue Dong & Jiayan Li & Peng Yao, 2024. "Estimation and Differential Analysis of the Carbon Sink Service Radius of Urban Green Spaces in the Beijing Plain Area," Sustainability, MDPI, vol. 16(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:4:p:1406-:d:1335209
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    References listed on IDEAS

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    1. Zhao, Jincai & Ji, Guangxing & Yue, YanLin & Lai, Zhizhu & Chen, Yulong & Yang, Dongyang & Yang, Xu & Wang, Zheng, 2019. "Spatio-temporal dynamics of urban residential CO2 emissions and their driving forces in China using the integrated two nighttime light datasets," Applied Energy, Elsevier, vol. 235(C), pages 612-624.
    2. Ren, Fang-rong & Tian, Ze & Liu, Jingjing & Shen, Yu-ting, 2020. "Analysis of CO2 emission reduction contribution and efficiency of China’s solar photovoltaic industry: Based on Input-output perspective," Energy, Elsevier, vol. 199(C).
    3. Peiyuan Tao & Ye Lin & Xing Wang & Jiayan Li & Chao Ma & Zhenkun Wang & Xinyue Dong & Peng Yao & Ming Shao, 2023. "Optimization of Green Spaces in Plain Urban Areas to Enhance Carbon Sequestration," Land, MDPI, vol. 12(6), pages 1-25, June.
    4. Lige Xu & Kailun Fang & Yu Huang & Shuangyu Xu, 2023. "Demand Priority of Green Space from the Perspective of Carbon Emissions and Storage," Sustainability, MDPI, vol. 15(14), pages 1-16, July.
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    Cited by:

    1. Yao Xiong & Yiyan Sun & Yunfeng Yang, 2025. "Impact of Urban Green Space Patterns on Carbon Emissions: A Gray BP Neural Network and Geo-Detector Analysis," Sustainability, MDPI, vol. 17(16), pages 1-34, August.

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