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Carbon Metabolism in Urban “Production–Living–Ecological” Space Based on Ecological Network Analysis

Author

Listed:
  • Xinhui Feng

    (School of Public Affairs, Institute of Land Science and Property Management, Zhejiang University, Hangzhou 310058, China)

  • Yan Li

    (School of Public Affairs, Institute of Land Science and Property Management, Zhejiang University, Hangzhou 310058, China)

  • Lu Zhang

    (Eco-Environmental Science Research & Design Institute of Zhejiang Province, Hangzhou 310007, China)

  • Chuyu Xia

    (Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Er Yu

    (School of Public Affairs, Institute of Land Science and Property Management, Zhejiang University, Hangzhou 310058, China)

  • Jiayu Yang

    (School of Public Affairs, Institute of Land Science and Property Management, Zhejiang University, Hangzhou 310058, China)

Abstract

To understand the changing pattern of urban carbon metabolism from the perspective of urban “production–living–ecological” (PLE) space, taking Suzhou City as an example, this study constructed a carbon metabolic network model in urban PLE space, analyzed the changes of horizontal carbon flow, and evaluated the comprehensive effect of the PLE space changes using the ecological network analysis method. The results showed that the total carbon sequestration showed a fluctuating change of increasing and then decreasing, while the total carbon emissions grew dramatically. Production spaces were the key nodes for the generation of horizontal carbon flow. The exploitation relationship was the dominant ecological relationship in the network, the mutualism relationship was abundant from 2005 to 2010 and gradually decreased from 2010 to 2018, and the frequency of competition relationship appeared gradually increased. The ecological network hierarchy evolved from an irregular shape dominated by primary consumers in 2000–2005 to a pyramidal shape dominated by producers in 2010–2018 at the driving weight end, and the pull weight showed a declining trend, with pull weight of producers increasing from 1.72% to 24.33%. The results can provide a theoretical basis for planning adjustments to the city’s PLE space structure to achieve low-carbon goals.

Suggested Citation

  • Xinhui Feng & Yan Li & Lu Zhang & Chuyu Xia & Er Yu & Jiayu Yang, 2022. "Carbon Metabolism in Urban “Production–Living–Ecological” Space Based on Ecological Network Analysis," Land, MDPI, vol. 11(9), pages 1-22, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1445-:d:903395
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    as
    1. Chen, Shaoqing & Xu, Bing & Chen, Bin, 2018. "Unfolding the interplay between carbon flows and socioeconomic development in a city: What can network analysis offer?," Applied Energy, Elsevier, vol. 211(C), pages 403-412.
    2. Cortés-Borda, D. & Ruiz-Hernández, A. & Guillén-Gosálbez, G. & Llop, M. & Guimerà, R. & Sales-Pardo, M., 2015. "Identifying strategies for mitigating the global warming impact of the EU-25 economy using a multi-objective input–output approach," Energy Policy, Elsevier, vol. 77(C), pages 21-30.
    3. Fath, Brian D., 2007. "Network mutualism: Positive community-level relations in ecosystems," Ecological Modelling, Elsevier, vol. 208(1), pages 56-67.
    4. Yanqiong Zhao & Jinhua Cheng & Yongguang Zhu & Yanpu Zhao, 2021. "Spatiotemporal Evolution and Regional Differences in the Production-Living-Ecological Space of the Urban Agglomeration in the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 18(23), pages 1-19, November.
    5. Kennedy, Christopher & Steinberger, Julia & Gasson, Barrie & Hansen, Yvonne & Hillman, Timothy & Havránek, Miroslav & Pataki, Diane & Phdungsilp, Aumnad & Ramaswami, Anu & Mendez, Gara Villalba, 2010. "Methodology for inventorying greenhouse gas emissions from global cities," Energy Policy, Elsevier, vol. 38(9), pages 4828-4837, September.
    6. Yingxian Deng & Ren Yang, 2021. "Influence Mechanism of Production-Living-Ecological Space Changes in the Urbanization Process of Guangdong Province, China," Land, MDPI, vol. 10(12), pages 1-20, December.
    7. Lanyi Wei & Yanjun Zhang & Lingzhi Wang & Xiaoyuan Mi & Xuying Wu & Zilang Cheng, 2021. "Spatiotemporal Evolution Patterns of “Production-Living-Ecological” Spaces and the Coordination Level and Optimization of the Functions in Jilin Province," Sustainability, MDPI, vol. 13(23), pages 1-24, November.
    8. Xia, Chuyu & Chen, Bin, 2020. "Urban land-carbon nexus based on ecological network analysis," Applied Energy, Elsevier, vol. 276(C).
    9. Zhang, Yan & Zheng, Hongmei & Yang, Zhifeng & Su, Meirong & Liu, Gengyuan & Li, Yanxian, 2015. "Multi-regional input–output model and ecological network analysis for regional embodied energy accounting in China," Energy Policy, Elsevier, vol. 86(C), pages 651-663.
    10. Qiaowen Lin & Lu Zhang & Bingkui Qiu & Yi Zhao & Chao Wei, 2021. "Spatiotemporal Analysis of Land Use Patterns on Carbon Emissions in China," Land, MDPI, vol. 10(2), pages 1-13, February.
    11. Mohajeri, Nahid & Perera, A.T.D. & Coccolo, Silvia & Mosca, Lucas & Le Guen, Morgane & Scartezzini, Jean-Louis, 2019. "Integrating urban form and distributed energy systems: Assessment of sustainable development scenarios for a Swiss village to 2050," Renewable Energy, Elsevier, vol. 143(C), pages 810-826.
    12. Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.
    13. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    14. Forkes, Jennifer, 2007. "Nitrogen balance for the urban food metabolism of Toronto, Canada," Resources, Conservation & Recycling, Elsevier, vol. 52(1), pages 74-94.
    15. Li, Jizhe & Huang, Guohe & Liu, Lirong, 2018. "Ecological network analysis for urban metabolism and carbon emissions based on input-output tables: A case study of Guangdong province," Ecological Modelling, Elsevier, vol. 383(C), pages 118-126.
    16. Zhang, Yan & Zheng, Hongmei & Fath, Brian D., 2014. "Analysis of the energy metabolism of urban socioeconomic sectors and the associated carbon footprints: Model development and a case study for Beijing," Energy Policy, Elsevier, vol. 73(C), pages 540-551.
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    Cited by:

    1. Jie He & Jun Yang, 2023. "Spatial–Temporal Characteristics and Influencing Factors of Land-Use Carbon Emissions: An Empirical Analysis Based on the GTWR Model," Land, MDPI, vol. 12(8), pages 1-23, July.
    2. Rong Guo & Xiaochen Wu & Tong Wu & Chao Dai, 2023. "Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, China," Land, MDPI, vol. 12(6), pages 1-19, May.

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