Development of a spatially explicit network model of urban metabolism and analysis of the distribution of ecological relationships: case study of Beijing, China

Zhang Y, Xia L, Fath BD, Yang Z, Yin X, Su M, Liu G, & Li Y (2016). Development of a spatially explicit network model of urban metabolism and analysis of the distribution of ecological relationships: case study of Beijing, China. Journal of Cleaner Production 112 (5): 4304-4317. DOI:10.1016/j.jclepro.2015.06.052.

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Abstract

In this paper, we develop a spatially explicit model of carbon transfers between regions of an urban area. The carbon transfers represent the metabolic processes due to regional landuse changes. We used the model to identify spatial heterogeneity in the carbon metabolic structure, functions, and relationships within the network. Data for Beijing from 1990, 1995, 2000, 2005, and 2010, were combined with empirical coefficients, to construct the network. We used ecological network analysis to analyze the structure and function of the network, and to determine the ecological relationships between the components of the system, their distribution, and their changes over time. The analysis revealed that carbon throughflow of the network decreased and positive relations mostly outweighed negative relations. Exploitation relationships were the dominant type in Beijing during most of the study period, particularly in the northwest before 2000, but moved towards the southeast over time, leaving competition relationships with losses of benefits dominant in the northwest. Mutualism relationships with mainly beneficial carbon flows were dominant in the southeast, increasing in frequency in this region throughout the study period. The results provide a theoretical basis for planning adjustments to the city's structure to achieve low-carbon goals.

Item Type: Article
Uncontrolled Keywords: urban metabolism; carbon emission; carbon sequestration; ecological network analysis; spatial analysis; ecological relationships
Research Programs: Advanced Systems Analysis (ASA)
Bibliographic Reference: Journal of Cleaner Production; 112(5):4304-4317 [January 2016] (Published online 20 June 2015)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:54
Last Modified: 28 Mar 2017 14:52
URI: http://pure.iiasa.ac.at/11716

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