2010
DOI: 10.1016/j.landurbplan.2009.11.001
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Urban green space network development for biodiversity conservation: Identification based on graph theory and gravity modeling

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Cited by 472 publications
(262 citation statements)
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References 40 publications
(63 reference statements)
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“…In large cities these measures (e.g. the ecological restoration of urban green systems) are usually much more costly and difficult to implement (Kong et al 2010;Yu et al 2012). In small cities such measures may be developed at the earliest stage of city development and include: the exclusion of habitat blocks from development, development of a system of corridors connecting green areas to each other and with rural areas, and statutory protection of the most valuable natural sites.…”
Section: Maintaining Biodiversity During Urban Growthmentioning
confidence: 99%
“…In large cities these measures (e.g. the ecological restoration of urban green systems) are usually much more costly and difficult to implement (Kong et al 2010;Yu et al 2012). In small cities such measures may be developed at the earliest stage of city development and include: the exclusion of habitat blocks from development, development of a system of corridors connecting green areas to each other and with rural areas, and statutory protection of the most valuable natural sites.…”
Section: Maintaining Biodiversity During Urban Growthmentioning
confidence: 99%
“…Most previous research has focused on analysis or simulation of the movements of specific wild species [56][57][58][59][60]. Measuring functional connectivity involves calculating the time and distance over which a specific species searches for a new habitat patch using various techniques, such as random walk modeling [45,61,62], network analysis [55,63], gravity modeling [64], and the least-cost path method [65]. The random walk is a simple model of diffusion processes that has been used to study the movements of wildlife [45].…”
Section: Landscape Functional Connectivitymentioning
confidence: 99%
“…However, this method is unable to visualize the results using GIS. Gravity modeling and network analysis have become established as promising ways to efficiently explore and analyze landscape or habitat connectivity [63,64]. Network analysis emerged as a branch of operational research concerned with network structure and network optimization with the help of graph theory [55].…”
Section: Landscape Functional Connectivitymentioning
confidence: 99%
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