Fortin199943

Référence

Fortin, M.-J. (1999) Effects of quadrat size and data measurement on the detection of boundaries. Journal of Vegetation Science, 10(1):43-50. (Scopus )

Résumé

With sampled field data, the accuracy of delineation of ecotones is directly related to the resolution of the data (i.e. spatial and measurement type) and to the edge detection algorithm used. In the present study the reliability is investigated of an edge detection algorithm (lattice-wombling) to delimit vegetation boundaries when different spatial resolutions (quadrat sizes) are used. To quantify whether the edge detection algorithm is robust, it was applied to data from woody species in a second-growth woodland measured at different spatial resolutions with different data types. Boundaries were found at similar locations using any reasonable quadrat size (ca. 200 m2) but there were some slight differences when using different vegetation measures (density versus presence/absence data).

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@ARTICLE { Fortin199943,
    AUTHOR = { Fortin, M.-J. },
    TITLE = { Effects of quadrat size and data measurement on the detection of boundaries },
    JOURNAL = { Journal of Vegetation Science },
    YEAR = { 1999 },
    VOLUME = { 10 },
    NUMBER = { 1 },
    PAGES = { 43-50 },
    NOTE = { cited By 23 },
    ABSTRACT = { With sampled field data, the accuracy of delineation of ecotones is directly related to the resolution of the data (i.e. spatial and measurement type) and to the edge detection algorithm used. In the present study the reliability is investigated of an edge detection algorithm (lattice-wombling) to delimit vegetation boundaries when different spatial resolutions (quadrat sizes) are used. To quantify whether the edge detection algorithm is robust, it was applied to data from woody species in a second-growth woodland measured at different spatial resolutions with different data types. Boundaries were found at similar locations using any reasonable quadrat size (ca. 200 m2) but there were some slight differences when using different vegetation measures (density versus presence/absence data). },
    AFFILIATION = { Department of Ecology and Evolution, State University of New York, Stony Brook, NY 11794-5245, United States; Dept. de Géographie, Université de Montréal, C.P. 6128, Succ. Centre-ville, Montréal, Que. H3C 3J7, Canada },
    AUTHOR_KEYWORDS = { Correction test for spatial autocorrelation; Ecotone; Edge detection; Scale; Spatial autocorrelation },
    DOCUMENT_TYPE = { Article },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-0033083628&partnerID=40&md5=8c3be07afba946aa0d32dea504d49648 },
}

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