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Do landscape processes predict phylogeographic patterns in the wood frog?

LEE‐YAW, JULIE A., DAVIDSON, ANDREW, MCRAE, BRAD H., GREEN, DAVID M.·2009·Molecular Ecology
DOI 10.1111/j.1365-294x.2009.04152.x
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Abstract

Understanding factors that influence population connectivity and the spatial distribution of genetic variation is a major goal in molecular ecology. Improvements in the availability of high‐resolution geographic data have made it increasingly possible to quantify the effects of landscape features on dispersal and genetic structure. However, most studies examining such landscape effects have been conducted at very fine (e.g. landscape genetics) or broad (e.g. phylogeography) spatial scales. Thus, the extent to which processes operating at fine spatial scales are linked to patterns at larger scales remains unclear. Here, we test whether factors impacting wood frog dispersal at fine spatial scales are correlated with genetic structure at regional scales. Using recently developed methods borrowed from electrical circuit theory, we generated landscape resistance matrices among wood frog populations in eastern North America based on slope, a wetness index, land cover and absolute barriers to wood frog dispersal. We then determined whether these matrices are correlated with genetic structure based on six microsatellite markers and whether such correlations outperform a landscape‐free model of isolation by resistance. We observed significant genetic structure at regional spatial scales. However, topography and landscape variables associated with the intervening habitat between sites provide little explanation for patterns of genetic structure. Instead, absolute dispersal barriers appear to be the best predictor of regional genetic structure in this species. Our results suggest that landscape variables that influence dispersal, microhabitat selection and population structure at fine spatial scales do not necessarily explain patterns of genetic structure at broader scales.

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  • Several authors have alluded to the idea that artificial boundaries might influence the results of least cost path and landscape resistance models, but no one has directly addressed the issue.

    “Several authors have alluded to the idea that artificial boundaries might influence the results of least cost path and landscape resistance models [2], [11], [15]–[18], but to our knowledge, no one has directly addressed the issue.”

    From The effect of map boundary on estimates of landscape resistance to animal movement (2010) · cites this paper as [18]

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Metadata

Authors
LEE‐YAW, J. A., DAVIDSON, A., MCRAE, B. H., & GREEN, D. M.
Venue
Molecular Ecology
Publisher
Wiley
Published
2009-04-17
Volume
18
Issue
9
Pages
1863-1874
ISSN
  • 0962-1083
  • 1365-294X
DOI
10.1111/j.1365-294x.2009.04152.x
Cited by
69
References
1
Language
en
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)

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