4.7 Article

Ecological network analysis of an urban metabolic system based on input-output tables: Model development and case study for Beijing

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 468, 期 -, 页码 642-653

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2013.08.047

关键词

Beijing; Ecological network; Physical input-output table; Urban ecology; Urban metabolism

资金

  1. Program for New Century Excellent Talents in University [NCET-12-0059]
  2. National Natural Science Foundation of China [41171068, 40701004]
  3. National Science Foundation for Innovative Research Group [51121003]
  4. Program for Changjiang Scholars and Innovative Research Team in University [IRT0809]
  5. Special Fund of State Key Joint Laboratory of Environment Simulation and Pollution Control of China [12Y04ESPCN, 10Z02ESPCN]
  6. Fundamental Research Funds for the Central Universities

向作者/读者索取更多资源

If cities are considered as superorganisms, then disorders of their metabolic processes cause something analogous to an urban disease. It is therefore helpful to identify the causes of such disorders by analyzing the inner mechanisms that control urban metabolic processes. Combining input-output analysis with ecological network analysis lets researchers study the functional relationships and hierarchy of the urban metabolic processes, thereby providing direct support for the analysis of urban disease. In this paper, using Beijing as an example, we develop a model of an urban metabolic system that accounts for the intensity of the embodied ecological elements using monetary input-output tables from 1997, 2000, 2002, 2005, and 2007, and use this data to compile the corresponding physical input-output tables. This approach described the various flows of ecological elements through urban metabolic processes and let us build an ecological network model with 32 components. Then, using two methods from ecological network analysis (flow analysis and utility analysis), we quantitatively analyzed the physical input-output relationships among urban components, determined the ecological hierarchy of the components of the metabolic system, and determined the distribution of advantage-dominated and disadvantage-dominated relationships, thereby providing scientific support to guide restructuring of the urban metabolic system in an effort to prevent or cure urban diseases. (C) 2013 Elsevier B.V. All rights reserved.

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