Graph models of habitat mosaics

Urban, Dean L., Minor, Emily S., Treml, Eric A. and Schick, Robert S. (2009) Graph models of habitat mosaics. Ecology Letters, 12 3: 260-273. doi:10.1111/j.1461-0248.2008.01271.x

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Author Urban, Dean L.
Minor, Emily S.
Treml, Eric A.
Schick, Robert S.
Title Graph models of habitat mosaics
Journal name Ecology Letters   Check publisher's open access policy
ISSN 1461-023X
Publication date 2009-03-01
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1111/j.1461-0248.2008.01271.x
Open Access Status File (Author Post-print)
Volume 12
Issue 3
Start page 260
End page 273
Total pages 14
Place of publication Oxford, United Kingdom
Publisher Wiley-Blackwell Publishing
Language eng
Abstract Graph theory is a body of mathematics dealing with problems of connectivity, flow, and routing in networks ranging from social groups to computer networks. Recently, network applications have erupted in many fields, and graph models are now being applied in landscape ecology and conservation biology, particularly for applications couched in metapopulation theory. In these applications, graph nodes represent habitat patches or local populations and links indicate functional connections among populations (i.e. via dispersal). Graphs are models of more complicated real systems, and so it is appropriate to review these applications from the perspective of modelling in general. Here we review recent applications of network theory to habitat patches in landscape mosaics. We consider (1) the conceptual model underlying these applications; (2) formalization and implementation of the graph model; (3) model parameterization; (4) model testing, insights, and predictions available through graph analyses; and (5) potential implications for conservation biology and related applications. In general, and for a variety of ecological systems, we find the graph model a remarkably robust framework for applications concerned with habitat connectivity. We close with suggestions for further work on the parameterization and validation of graph models, and point to some promising analytic insights. © 2009 Blackwell Publishing Ltd/CNRS.
Keyword Connectivity
Graph theory
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collection: School of Biological Sciences Publications
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Citation counts: TR Web of Science Citation Count  Cited 263 times in Thomson Reuters Web of Science Article | Citations
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Created: Fri, 01 Jul 2011, 00:19:56 EST by Dr Eric Treml on behalf of School of Biological Sciences