Euclidean distances versus effective pathways: a GIS approach for testing the effects of dispersal constraints on spatial genetic structure of Black grouse (Tetrao tetrix Aves, Tetraoninae) populations - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2007

Euclidean distances versus effective pathways: a GIS approach for testing the effects of dispersal constraints on spatial genetic structure of Black grouse (Tetrao tetrix Aves, Tetraoninae) populations

Résumé

Radio-tracking of juveniles and genetic studies have previously suggested that mountain ridges may represent barrier to dispersal for the Black grouse. In the present study, we assessed the potential of a more straighforward approach to test the effect of these topological features on Black grouse dispersal. We simply compared correlations between genetic distances and geographic distances assuming that if mountain ridges truly represent barriers to dispersal for the Black grouse, correlation coefficients should improve when using pairwise distances taking into account dispersal barriers (or effective pathways) instead of straight-line (Euclidean) distances. We computed effective pathways using the Geographic Information System (GIS) package ARCVIEW 3.2 and its extension PATHMATRIX especially designed to determine least-cost pathways from a landscape matrix in which all habitat types are given a specific cost. Whatever the type of distance used (Euclidean distances versus effective pathways) a highly significant isolation-by-distance effect was observed. The correlation between geographic and genetic distances slightly improved when the effective pathways instead of Euclidean distances were used. However, these improvements were very small suggesting either that mountain ridges are “permeable” barriers to dispersal or that the prerequisite for using the GIS approach efficiently were not fully satisfied.
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hal-03986417 , version 1 (13-02-2023)

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Paternité - Pas d'utilisation commerciale - Pas de modification

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  • HAL Id : hal-03986417 , version 1

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Julie Pierson, Ariane Bernard Laurent, Yann Magnani, Stéphane Marin, Sonia Said, et al.. Euclidean distances versus effective pathways: a GIS approach for testing the effects of dispersal constraints on spatial genetic structure of Black grouse (Tetrao tetrix Aves, Tetraoninae) populations. 2007. ⟨hal-03986417⟩
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