2014
DOI: 10.1007/s10592-014-0640-x
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Differential dispersal shapes population structure and patterns of genetic differentiation in two sympatric pond breeding salamanders

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Cited by 39 publications
(57 citation statements)
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“…Due to their low dispersal abilities (Bowne & Bowers, ; Graeter, Rothermel, & Gibbons, ), small effective population sizes (Funk, Tallmon, & Allendorf, ) and the discontinuous distribution of their preferred breeding habitats (Jehle, Burke, & Arntzen, ), they tend to form “patchy” breeding assemblages. Dispersal and the maintenance of gene flow between breeding ponds depends on the composition and configuration of the landscape (Coster et al., ), and studies focusing on functional connectivity have described different species responses to landscape features such as differences in soil moisture, clear‐cut habitats, agriculture lands, riparian network, as well as differences in metamorphosis, philopatry, dispersal, selection of breeding sites and post‐breeding behaviour (Coster et al., ; Goldberg & Waits, ; Peterman et al., ; Richardson, ; Steele et al., ). Identification of the factors promoting or reducing gene flow is key to prevent local and regional extinctions in the long‐term and to inform conservation management.…”
Section: Introductionmentioning
confidence: 99%
“…Due to their low dispersal abilities (Bowne & Bowers, ; Graeter, Rothermel, & Gibbons, ), small effective population sizes (Funk, Tallmon, & Allendorf, ) and the discontinuous distribution of their preferred breeding habitats (Jehle, Burke, & Arntzen, ), they tend to form “patchy” breeding assemblages. Dispersal and the maintenance of gene flow between breeding ponds depends on the composition and configuration of the landscape (Coster et al., ), and studies focusing on functional connectivity have described different species responses to landscape features such as differences in soil moisture, clear‐cut habitats, agriculture lands, riparian network, as well as differences in metamorphosis, philopatry, dispersal, selection of breeding sites and post‐breeding behaviour (Coster et al., ; Goldberg & Waits, ; Peterman et al., ; Richardson, ; Steele et al., ). Identification of the factors promoting or reducing gene flow is key to prevent local and regional extinctions in the long‐term and to inform conservation management.…”
Section: Introductionmentioning
confidence: 99%
“…These regions are dominated by temperate broadleaf and mixed forests (Ouachita Ecoregional Assessment Team, 2003;Ozarks Ecoregional Assessment Team, 2003). salamanders shows that effective population size and genetic diversity does not significantly differ among life stages (Peterman, Brocato, Semlitsch, & Eggert, 2016) and genetic inference is largely concordant among breeding seasons across the same landscape (Burkhart et al, 2017;Peterman et al, 2015). In total, we in Ambystoma spp.…”
Section: Study Area and Sample Collectionmentioning
confidence: 86%
“…More recent studies using microsatellite loci observed two genetic clusters over an approximately 7,000 ha landscape (Burkhart et al, 2017;Peterman et al, 2015), which indicates the potential for dispersal limitation over more ecological time frames.…”
Section: Introductionmentioning
confidence: 92%
“…We therefore relied on Gamble et al () to guide our estimate of a plausible distribution for this parameter, setting the mean to 0.85 ± 0.10 (truncating the upper limit at 1.0). Because previous research in this system reported minimal influence of the landscape matrix on genetic connectivity of ringed salamanders (Peterman et al , ; Burkhart et al ), we modeled dispersal and connectivity as an exponential decay of distance. We drew mean dispersal distance from a normal distribution with a mean of 1,700 m (±500 m SD) derived from genetic‐based dispersal estimates for ringed salamanders at FLW (Peterman et al ).…”
Section: Methodsmentioning
confidence: 99%
“…Because previous research in this system reported minimal influence of the landscape matrix on genetic connectivity of ringed salamanders (Peterman et al , ; Burkhart et al ), we modeled dispersal and connectivity as an exponential decay of distance. We drew mean dispersal distance from a normal distribution with a mean of 1,700 m (±500 m SD) derived from genetic‐based dispersal estimates for ringed salamanders at FLW (Peterman et al ). We calculated the probability of successful dispersal from population i to population j as mij=true{centercenterexptrue(normalαnormaldnormalinormaljtrue)if ijcenter0 if i=j where d ij is the distance between populations and α controls the dispersal range, with 1 /α being the average dispersal distance.…”
Section: Methodsmentioning
confidence: 99%