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Ecosystem health pattern analysis of urban clusters based on emergy synthesis: Results and implication for management

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  • Su, Meirong
  • Fath, Brian D.
  • Yang, Zhifeng
  • Chen, Bin
  • Liu, Gengyuan

Abstract

The evaluation of ecosystem health in urban clusters will help establish effective management that promotes sustainable regional development. To standardize the application of emergy synthesis and set pair analysis (EM–SPA) in ecosystem health assessment, a procedure for using EM–SPA models was established in this paper by combining the ability of emergy synthesis to reflect health status from a biophysical perspective with the ability of set pair analysis to describe extensive relationships among different variables. Based on the EM–SPA model, the relative health levels of selected urban clusters and their related ecosystem health patterns were characterized. The health states of three typical Chinese urban clusters – Jing-Jin-Tang, Yangtze River Delta, and Pearl River Delta – were investigated using the model. The results showed that the health status of the Pearl River Delta was relatively good; the health for the Yangtze River Delta was poor. As for the specific health characteristics, the Pearl River Delta and Yangtze River Delta urban clusters were relatively strong in Vigor, Resilience, and Urban ecosystem service function maintenance, while the Jing-Jin-Tang was relatively strong in organizational structure and environmental impact. Guidelines for managing these different urban clusters were put forward based on the analysis of the results of this study.

Suggested Citation

  • Su, Meirong & Fath, Brian D. & Yang, Zhifeng & Chen, Bin & Liu, Gengyuan, 2013. "Ecosystem health pattern analysis of urban clusters based on emergy synthesis: Results and implication for management," Energy Policy, Elsevier, vol. 59(C), pages 600-613.
    • Handle: RePEc:eee:enepol:v:59:y:2013:i:c:p:600-613
    DOI: 10.1016/j.enpol.2013.04.015
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    References listed on IDEAS

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    1. Liu, G.Y. & Yang, Z.F. & Chen, B. & Ulgiati, S., 2009. "Emergy-based urban health evaluation and development pattern analysis," Ecological Modelling, Elsevier, vol. 220(18), pages 2291-2301.
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    7. Wang, Xueqi & Liu, Gengyuan & Coscieme, Luca & Giannetti, Biagio F. & Hao, Yan & Zhang, Yan & Brown, Mark T., 2019. "Study on the emergy-based thermodynamic geography of the Jing-Jin-Ji region: Combined multivariate statistical data with DMSP-OLS nighttime lights data," Ecological Modelling, Elsevier, vol. 397(C), pages 1-15.

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