JamesRayfieldFortinEtAl2005

Référence

James, P.M.A., Rayfield, B., Fortin, M.-J., Fall, A. and Farley, G. (2005) Reserve network design combining spatial graph theory and species' spatial requirements. Geomatica, 59(3):323-333. (Scopus )

Résumé

Management decisions regarding conservation reserve design are dependent on our ability characterize landscape spatial heterogeneity and its effects on species biodiversity and persistence. Understanding species' spatial habitat requirements in fragmented forested landscapes can increase our ability to maintain species biodiversity at the landscape scale. We combine spatial graph theory and species' spatial requirements to identify networks of patches that maximize habitat connectivity in multi-use forested landscapes with a fixed conservation area. A case study is presented to illustrate the utility of spatial graph and geomatics approaches to reserve design using boreal forest data from Quebec. This research demonstrates that spatial graph based connectivity analysis can help support well-informed landscape level management decisions.

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@ARTICLE { JamesRayfieldFortinEtAl2005,
    AUTHOR = { James, P.M.A. and Rayfield, B. and Fortin, M.-J. and Fall, A. and Farley, G. },
    TITLE = { Reserve network design combining spatial graph theory and species' spatial requirements },
    JOURNAL = { Geomatica },
    YEAR = { 2005 },
    VOLUME = { 59 },
    PAGES = { 323-333 },
    NUMBER = { 3 },
    ABSTRACT = { Management decisions regarding conservation reserve design are dependent on our ability characterize landscape spatial heterogeneity and its effects on species biodiversity and persistence. Understanding species' spatial habitat requirements in fragmented forested landscapes can increase our ability to maintain species biodiversity at the landscape scale. We combine spatial graph theory and species' spatial requirements to identify networks of patches that maximize habitat connectivity in multi-use forested landscapes with a fixed conservation area. A case study is presented to illustrate the utility of spatial graph and geomatics approaches to reserve design using boreal forest data from Quebec. This research demonstrates that spatial graph based connectivity analysis can help support well-informed landscape level management decisions. },
    COMMENT = { Cited By (since 1996): 4 Export Date: 15 May 2012 Source: Scopus },
    ISSN = { 11951036 (ISSN) },
    KEYWORDS = { Algorithms, Biodiversity, Conservation, Decision theory, Ecology, Forestry, Graph theory, Management, Conservation reserve design, Reserve network design, Spatial graph theory, Spatial requirements, Geographic information systems, biodiversity, conservation management, decision support system, habitat management, reserve design },
    OWNER = { Luc },
    TIMESTAMP = { 2012.05.15 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-28544441149&partnerID=40&md5=60d52033285e67a42d6ee013e7b65e00 },
}

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