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Graph models of habitat mosaics

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Graph models of habitat mosaics. / Urban, Dean L.; Minor, Emily S.; Treml, Eric A.; Schick, Robert S.

In: Ecology Letters, Vol. 12, No. 3, 03.2009, p. 260-273.

Research output: Contribution to journalReview article

Harvard

Urban, DL, Minor, ES, Treml, EA & Schick, RS 2009, 'Graph models of habitat mosaics', Ecology Letters, vol. 12, no. 3, pp. 260-273. https://doi.org/10.1111/j.1461-0248.2008.01271.x

APA

Urban, D. L., Minor, E. S., Treml, E. A., & Schick, R. S. (2009). Graph models of habitat mosaics. Ecology Letters, 12(3), 260-273. https://doi.org/10.1111/j.1461-0248.2008.01271.x

Vancouver

Urban DL, Minor ES, Treml EA, Schick RS. Graph models of habitat mosaics. Ecology Letters. 2009 Mar;12(3):260-273. https://doi.org/10.1111/j.1461-0248.2008.01271.x

Author

Urban, Dean L. ; Minor, Emily S. ; Treml, Eric A. ; Schick, Robert S. / Graph models of habitat mosaics. In: Ecology Letters. 2009 ; Vol. 12, No. 3. pp. 260-273.

Bibtex - Download

@article{53b66c0940b7432ea2115fca9130e77e,
title = "Graph models of habitat mosaics",
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.",
keywords = "Connectivity, conservation, graph theory, habitat, landscape, metapopulation, network analysis, EXPLICIT POPULATION-MODELS, LANDSCAPE CONNECTIVITY, METAPOPULATION DYNAMICS, FRAGMENTED LANDSCAPE, FORESTED LANDSCAPE, COMPLEX NETWORKS, CIRCUIT-THEORY, GENE FLOW, CONSERVATION, DISPERSAL",
author = "Urban, {Dean L.} and Minor, {Emily S.} and Treml, {Eric A.} and Schick, {Robert S.}",
year = "2009",
month = "3",
doi = "10.1111/j.1461-0248.2008.01271.x",
language = "English",
volume = "12",
pages = "260--273",
journal = "Ecology Letters",
issn = "1461-023X",
publisher = "John Wiley & Sons, Ltd (10.1111)",
number = "3",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Graph models of habitat mosaics

AU - Urban, Dean L.

AU - Minor, Emily S.

AU - Treml, Eric A.

AU - Schick, Robert S.

PY - 2009/3

Y1 - 2009/3

N2 - 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.

AB - 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.

KW - Connectivity

KW - conservation

KW - graph theory

KW - habitat

KW - landscape

KW - metapopulation

KW - network analysis

KW - EXPLICIT POPULATION-MODELS

KW - LANDSCAPE CONNECTIVITY

KW - METAPOPULATION DYNAMICS

KW - FRAGMENTED LANDSCAPE

KW - FORESTED LANDSCAPE

KW - COMPLEX NETWORKS

KW - CIRCUIT-THEORY

KW - GENE FLOW

KW - CONSERVATION

KW - DISPERSAL

U2 - 10.1111/j.1461-0248.2008.01271.x

DO - 10.1111/j.1461-0248.2008.01271.x

M3 - Review article

VL - 12

SP - 260

EP - 273

JO - Ecology Letters

JF - Ecology Letters

SN - 1461-023X

IS - 3

ER -

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