Ecological relationship analysis of the urban metabolic system of Beijing, China
- 1. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Xinjiekouwai Street No. 19, Beijing 100875 (China)
Description
Cities can be modelled as giant organisms, with their own metabolic processes, and can therefore be studied using the same tools used for biological metabolic systems. The complicated distribution of compartments within these systems and the functional relationships among them define the system's network structure. Taking Beijing as an example, we divided the city's internal system into metabolic compartments, then used ecological network analysis to calculate a comprehensive utility matrix for the flows between compartments within Beijing's metabolic system from 1998 to 2007 and to identify the corresponding functional relationships among the system's compartments. Our results show how ecological network analysis, utility analysis, and relationship analysis can be used to discover the implied ecological relationships within a metabolic system, thereby providing insights into the system's internal metabolic processes. Such analyses provide scientific support for urban ecological management. - Highlights: ► Urban metabolic processes can be analyzed by treating cities as superorganisms. ► We developed an ecological network model for an urban system. ► We studied the system's network relationships using ecological network analysis. ► We developed indices for judging the system's synergism and degree of stability. - Using Beijing as an example of an urban superorganism, we used ecological network analysis to describe the ecological relationships among the urban metabolic system's compartments.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.envpol.2012.07.010Additional details
Identifiers
- DOI
- 10.1016/j.envpol.2012.07.010;
- PII
- S0269-7491(12)00338-7;
Publishing Information
- Journal Title
- Environmental Pollution (1987)
- Journal Volume
- 170
- Journal Page Range
- p. 169-176
- ISSN
- 0269-7491
- CODEN
- ENPOEK
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44023739
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- CHINA; COMPARTMENTS; ECOLOGY; MANAGEMENT; NETWORK ANALYSIS; URBAN AREAS
- Descriptors DEC
- ASIA
Optional Information
- Copyright
- Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.