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Construction of an ecological resistance surface model and its application in urban expansion simulations 被引量:15

Construction of an ecological resistance surface model and its application in urban expansion simulations
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摘要 Urban expansion models are useful tools to understand urbanization process and have been given much attention. However, urban expansion is a complicated socio-economic phenomenon that is affected by complex and volatile factors involving in great uncertainties. Therefore, the accurate simulation of the urban expansion process remains challenging. In this paper, we make an attempt to solve such uncertainty through a reversal process and view urban expansion as a process wherein the urban landscape overcomes resistance from other landscapes. We developed an innovative approach derived from the minimum cumulative resistance (MCR) model that involved the introduction of a relative resistance factor for dif- ferent source levels and the consideration of rigid constraints on urban expansion caused by ecological barriers. Using this approach, the urban expansion ecological resistance (UEER) model was created to describe ecological resistance surfaces suitable for simulating urban expansion and used to simulate urban expansion in Guangzhou. The study results demon- strate that the ecological resistance surface generated by the UEER model comprehensively reflects ecological resistance to urban expansion and indicates the spatial trends in urban expansion. The simulation results from the UEEIR-based model were more realistic and more accurately reflected ecological protection requirements than the conventional MCR-based model. These findings can enhance urban expansion simulation methods. Urban expansion models are useful tools to understand urbanization process and have been given much attention. However, urban expansion is a complicated socio-economic phenomenon that is affected by complex and volatile factors involving in great uncertainties. Therefore, the accurate simulation of the urban expansion process remains challenging. In this paper, we make an attempt to solve such uncertainty through a reversal process and view urban expansion as a process wherein the urban landscape overcomes resistance from other landscapes. We developed an innovative approach derived from the minimum cumulative resistance (MCR) model that involved the introduction of a relative resistance factor for dif- ferent source levels and the consideration of rigid constraints on urban expansion caused by ecological barriers. Using this approach, the urban expansion ecological resistance (UEER) model was created to describe ecological resistance surfaces suitable for simulating urban expansion and used to simulate urban expansion in Guangzhou. The study results demon- strate that the ecological resistance surface generated by the UEER model comprehensively reflects ecological resistance to urban expansion and indicates the spatial trends in urban expansion. The simulation results from the UEEIR-based model were more realistic and more accurately reflected ecological protection requirements than the conventional MCR-based model. These findings can enhance urban expansion simulation methods.
出处 《Journal of Geographical Sciences》 SCIE CSCD 2015年第2期211-224,共14页 地理学报(英文版)
基金 National Natural Science Foundation of China, No.41001385 12th Five-year National Science Supported Planning Project, No.2012BAJ 15B02
关键词 urban expansion SIMULATION ecological resistance surface MODEL urban expansion simulation ecological resistance surface model
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  • 1Adriaensen F, Chardon J P, De Blust G et al., 2003. The application of ‘least-cost' modelling as a functional landscape model. Landscape and Urban Planning, 64: 233-247.
  • 2Al-Ahmadi K, See L, Heppenstall A et al., 2009. Calibration of a fuzzy cellular automata model of urban dynamics in Saudi Arabia. Ecological Complexity, 6: 80-101.
  • 3Barredo J I, Kasanko M, McCormick N et al., 2003. Modelling dynamic spatial processes: Simulation of urban future scenarios through cellular automata. Landscape and Urban Planning, 64: 145-160.
  • 4Berling-Wolff S, Wu J, 2004. Modeling urban landscape dynamics: A case study in Phoenix, USA. Urban Ecosystems, 7(3): 215-240.
  • 5Chardon J P, Adriaensen F, Matthysen E, 2003. Incorporating landscape elements into a connectivity measure: A case study of speckled wood butterfly. Landscape Ecology, 18: 561-573.
  • 6Cheng J, Masser I, 2003. Modelling urban growth patterns: A multiscale perspective. Environment and Planning A, 35: 679-704.
  • 7Costanza R, Ruth M, 1998. Using dynamic modeling to scope environmental problems and build consensus. Environmental Management, 22: 183-195.
  • 8Couclelis H, 1987. Cellular dynamics: How individual decisions lead to global urban change. European Journal of Operational Research, 30(3): 344-346.
  • 9Clarke K C, Hoppen S, Gaydos L, 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design, 24: 247-261.
  • 10Foltête J C, Berthier K, Cosson J F, 2008. Cost distance defined by a topological function of landscape. Ecological Modelling, 210(1/2): 104-114.

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