Peterson2013707

Référence

Peterson, E.E., Ver Hoef, J.M., Isaak, D.J., Falke, J.A., Fortin, M.-J., Jordan, C.E., McNyset, K., Monestiez, P., Ruesch, A.S., Sengupta, A., Som, N., Steel, E.A., Theobald, D.M., Torgersen, C.E., Wenger, S.J. (2013) Modelling dendritic ecological networks in space: An integrated network perspective. Ecology Letters, 16(5):707-719. (Scopus )

Résumé

Dendritic ecological networks (DENs) are a unique form of ecological networks that exhibit a dendritic network topology (e.g. stream and cave networks or plant architecture). DENs have a dual spatial representation; as points within the network and as points in geographical space. Consequently, some analytical methods used to quantify relationships in other types of ecological networks, or in 2-D space, may be inadequate for studying the influence of structure and connectivity on ecological processes within DENs. We propose a conceptual taxonomy of network analysis methods that account for DEN characteristics to varying degrees and provide a synthesis of the different approaches within the context of stream ecology. Within this context, we summarise the key innovations of a new family of spatial statistical models that describe spatial relationships in DENs. Finally, we discuss how different network analyses may be combined to address more complex and novel research questions. While our main focus is streams, the taxonomy of network analyses is also relevant anywhere spatial patterns in both network and 2-D space can be used to explore the influence of multi-scale processes on biota and their habitat (e.g. plant morphology and pest infestation, or preferential migration along stream or road corridors). © 2013 Blackwell Publishing Ltd/CNRS and Commonwealth of Australia.

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@ARTICLE { Peterson2013707,
    AUTHOR = { Peterson, E.E. and Ver Hoef, J.M. and Isaak, D.J. and Falke, J.A. and Fortin, M.-J. and Jordan, C.E. and McNyset, K. and Monestiez, P. and Ruesch, A.S. and Sengupta, A. and Som, N. and Steel, E.A. and Theobald, D.M. and Torgersen, C.E. and Wenger, S.J. },
    TITLE = { Modelling dendritic ecological networks in space: An integrated network perspective },
    JOURNAL = { Ecology Letters },
    YEAR = { 2013 },
    VOLUME = { 16 },
    NUMBER = { 5 },
    PAGES = { 707-719 },
    NOTE = { cited By 64 },
    ABSTRACT = { Dendritic ecological networks (DENs) are a unique form of ecological networks that exhibit a dendritic network topology (e.g. stream and cave networks or plant architecture). DENs have a dual spatial representation; as points within the network and as points in geographical space. Consequently, some analytical methods used to quantify relationships in other types of ecological networks, or in 2-D space, may be inadequate for studying the influence of structure and connectivity on ecological processes within DENs. We propose a conceptual taxonomy of network analysis methods that account for DEN characteristics to varying degrees and provide a synthesis of the different approaches within the context of stream ecology. Within this context, we summarise the key innovations of a new family of spatial statistical models that describe spatial relationships in DENs. Finally, we discuss how different network analyses may be combined to address more complex and novel research questions. While our main focus is streams, the taxonomy of network analyses is also relevant anywhere spatial patterns in both network and 2-D space can be used to explore the influence of multi-scale processes on biota and their habitat (e.g. plant morphology and pest infestation, or preferential migration along stream or road corridors). © 2013 Blackwell Publishing Ltd/CNRS and Commonwealth of Australia. },
    AFFILIATION = { CSIRO, Division of Mathematics, Informatics and Statistics, Dutton Park, QLD, Australia; NOAA National Marine Mammal Laboratory, Seattle, WA, United States; USDA Forest Service, Rocky Mountain Research Station, Boise, ID, United States; Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States; Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada; NOAA/NMFS/NWFSC, Conservation Biology Division, Seattle, WA, United States; INRA, Unité Biostatistique et Processus Spatiaux, Avignon, France; School of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States; Wisconsin Department of Natural Resources, Madison, WI, United States; Department of Statistics, The Ohio State University, Columbus, OH, United States; Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, United States; U.S. Fish and Wildlife Service, Arcata, CA, United States; USDA Forest Service, Pacific Northwest Research Station, Seattle, WA, United States; Department of Fish, Wildlife and Conservation Biology, Colorado State University, Fort Collins, CO, United States; U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center Cascadia Field Station, School of Environmental and Forest Sciences University of Washington, Seattle, WA, United States; Trout Unlimited, Boise, ID, United States },
    AUTHOR_KEYWORDS = { Connectivity; Dendritic ecological network; Directionality; Network analysis; Scales; Spatial statistics; Stream network; Taxonomy of network analyses },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1111/ele.12084 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876712129&doi=10.1111%2fele.12084&partnerID=40&md5=99c41d8363012f245ebb92a7c5dce448 },
}

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