Eros2012303

Référence

Eros, T., Olden, J.D., Schick, R.S., Schmera, D., Fortin, M.-J. (2012) Characterizing connectivity relationships in freshwaters using patch-based graphs. Landscape Ecology, 27(2):303-317. (Scopus )

Résumé

Spatial graphs in landscape ecology and conservation have emerged recently as a powerful methodology to model patterns in the topology and connectivity of habitat patches (structural connectivity) and the movement of genes, individuals or populations among these patches (potential functional connectivity). Most spatial graph's applications to date have been in the terrestrial realm, whereas the use of spatially explicit graph-based methods in the freshwater sciences has lagged far behind. Although at first patch-based spatial graphs were not considered suitable for representing the branching network of riverine landscapes, here we argue that the application of graphs can be a useful tool for quantifying habitat connectivity of freshwater ecosystems. In this review we provide an overview of the potential of patch-based spatial graphs in freshwater ecology and conservation, and present a conceptual framework for the topological analysis of stream networks (i. e., riverscape graphs) from a hierarchical patch-based context. By highlighting the potential application of graph theory in freshwater sciences we hope to illustrate the generality of spatial network analyses in landscape ecology and conservation. © 2011 Springer Science+Business Media B.V.

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@ARTICLE { Eros2012303,
    AUTHOR = { Eros, T. and Olden, J.D. and Schick, R.S. and Schmera, D. and Fortin, M.-J. },
    TITLE = { Characterizing connectivity relationships in freshwaters using patch-based graphs },
    JOURNAL = { Landscape Ecology },
    YEAR = { 2012 },
    VOLUME = { 27 },
    NUMBER = { 2 },
    PAGES = { 303-317 },
    NOTE = { cited By 46 },
    ABSTRACT = { Spatial graphs in landscape ecology and conservation have emerged recently as a powerful methodology to model patterns in the topology and connectivity of habitat patches (structural connectivity) and the movement of genes, individuals or populations among these patches (potential functional connectivity). Most spatial graph's applications to date have been in the terrestrial realm, whereas the use of spatially explicit graph-based methods in the freshwater sciences has lagged far behind. Although at first patch-based spatial graphs were not considered suitable for representing the branching network of riverine landscapes, here we argue that the application of graphs can be a useful tool for quantifying habitat connectivity of freshwater ecosystems. In this review we provide an overview of the potential of patch-based spatial graphs in freshwater ecology and conservation, and present a conceptual framework for the topological analysis of stream networks (i. e., riverscape graphs) from a hierarchical patch-based context. By highlighting the potential application of graph theory in freshwater sciences we hope to illustrate the generality of spatial network analyses in landscape ecology and conservation. © 2011 Springer Science+Business Media B.V. },
    AFFILIATION = { Balaton Limnological Research Institute of the Hungarian Academy of Sciences, Klebelsberg K. u. 3, Tihany 8237, Hungary; School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98195, United States; Nicholas School of the Environment, Duke University, Durham, NC 27708, United States; Section of Conservation Biology, Department of Environmental Sciences, University of Basel, St. Johanns-Vorstadt 10, 4056 Basel, Switzerland; Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3G5, Canada },
    AUTHOR_KEYWORDS = { Dendritic networks; Ecological networks; Fragmentation; Graph theory; Spatial graphs; Stream network },
    DOCUMENT_TYPE = { Review },
    DOI = { 10.1007/s10980-011-9659-2 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856224017&doi=10.1007%2fs10980-011-9659-2&partnerID=40&md5=5c8d10a93bad9dc41049dfe99cb01f92 },
}

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