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Understanding the mechanism of urban material metabolism with ecological network analysis: An experimental study of Wuxi, China

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  • Li, Yanxian
  • Wang, Xinjing
  • Tian, Xin
  • Zhang, Yan

Abstract

Cities are considered to be major consumers of natural resources, creating global resource shortages and environmental challenges. Therefore, understanding the mechanism of material metabolism is crucial for modern cities’ sustainable development. Here we took the city of Wuxi as an example, first constructing a network composed of 8 components. Combining material accounting and ecological network analysis, we analyzed the integrated flow process and components’ weight distributions for 6 years. Additionally, relationships among components were identified, to examine the synergism level of the metabolic system. Our results indicate that Wuxi’s urban system was dependent on its environment, and the integrated material inflow of transportation, household consumption and mining increased to 1.55, 1.36 and 3.36, respectively, during the study period. Environment and household consumption accounted for the largest sectoral weights (20.9% and 20.0%, respectively), while that of manufacturing, and mining changed significantly by 5.1% and 4.4%, respectively. Within the system, the environment supplied resources, agriculture and mining utilized renewable resources, venous industry promoted resource recycling. Mutualism relationships were mainly related to these sectors. However, exploitation and control were the dominant relationships in Wuxi, and the whole system’s synergism level still needed to be improved. This study provides a scientific guidance for the future structural adjustment and resource utilization for Wuxi and the similar medium-sized cities with rapid economic development in China.

Suggested Citation

  • Li, Yanxian & Wang, Xinjing & Tian, Xin & Zhang, Yan, 2018. "Understanding the mechanism of urban material metabolism with ecological network analysis: An experimental study of Wuxi, China," Ecological Modelling, Elsevier, vol. 367(C), pages 58-67.
    • Handle: RePEc:eee:ecomod:v:367:y:2018:i:c:p:58-67
    DOI: 10.1016/j.ecolmodel.2017.09.007
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    References listed on IDEAS

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    1. Sabine Barles, 2010. "Society, energy and materials: the contribution of urban metabolism studies to sustainable urban development issues," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 53(4), pages 439-455.
    2. Liu, G.Y. & Yang, Z.F. & Chen, B. & Zhang, Y., 2011. "Ecological network determination of sectoral linkages, utility relations and structural characteristics on urban ecological economic system," Ecological Modelling, Elsevier, vol. 222(15), pages 2825-2834.
    3. Fath, Brian D. & Killian, Megan C., 2007. "The relevance of ecological pyramids in community assemblages," Ecological Modelling, Elsevier, vol. 208(2), pages 286-294.
    4. Zhang, Yan & Liu, Hong & Chen, Bin, 2013. "Comprehensive evaluation of the structural characteristics of an urban metabolic system: Model development and a case study of Beijing," Ecological Modelling, Elsevier, vol. 252(C), pages 106-113.
    5. Chen, Shaoqing & Chen, Bin, 2015. "Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis," Applied Energy, Elsevier, vol. 138(C), pages 99-107.
    6. Zhang, Yan & Liu, Hong & Fath, Brian D., 2014. "Synergism analysis of an urban metabolic system: Model development and a case study for Beijing, China," Ecological Modelling, Elsevier, vol. 272(C), pages 188-197.
    7. Zhang, Yan & Li, Shengsheng & Fath, Brian D. & Yang, Zhifeng & Yang, Naijin, 2011. "Analysis of an urban energy metabolic system: Comparison of simple and complex model results," Ecological Modelling, Elsevier, vol. 223(1), pages 14-19.
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    Cited by:

    1. Jiulin Li & Jiangang Xu & Jinlong Chu, 2019. "The Construction of a Regional Ecological Security Pattern Based on Circuit Theory," Sustainability, MDPI, vol. 11(22), pages 1-17, November.

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