2014
DOI: 10.1111/mec.12747
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Ecological resistance surfaces predict fine‐scale genetic differentiation in a terrestrial woodland salamander

Abstract: Landscape genetics has seen tremendous advances since its introduction, but parameterization and optimization of resistance surfaces still poses significant challenges. Despite increased availability and resolution of spatial data, few studies have integrated empirical data to directly represent ecological processes as genetic resistance surfaces. In our study, we determine the landscape and ecological factors affecting gene flow in the western slimy salamander (Plethodon albagula). We used field data to deriv… Show more

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Cited by 185 publications
(242 citation statements)
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“…However, we suspect that physiological differences along the elevational gradient are due to acclimatization because suitable habitats are continuous across the elevational range (but see Peterman et al 2014). However, the variation of R along elevational gradients has important implications for modeling activity.…”
Section: Discussionmentioning
confidence: 99%
“…However, we suspect that physiological differences along the elevational gradient are due to acclimatization because suitable habitats are continuous across the elevational range (but see Peterman et al 2014). However, the variation of R along elevational gradients has important implications for modeling activity.…”
Section: Discussionmentioning
confidence: 99%
“…This suggests that there is not necessarily a correspondence between habitat use patterns and dispersal movements. Conditions providing suitable habitat for permanent establishment and local resource may often be different than the conditions facilitating dispersal movements (Cushman et al 2013a, Peterman et al 2014. Since suitability models are based on occurrence data that usually represent locations within home ranges, habitat suitability models may not adequately reflect how environments affect animals during movements outside of their usual home ranges, such as dispersal or mating excursions (Cushman et al 2013a).…”
Section: Comparison Of Least Cost-path and Circuit Theory Predictionsmentioning
confidence: 99%
“…The novelty of our approach is to relax the need for expert opinion and to rely fully on the genetic distance for an evidence-based mapping of landscape connectivity and for the identification of the most likely dispersal paths. We subsequently combined the genetics-based analysis of friction with a tsetse distribution model built using a fully different dataset, thus considering that habitat suitability and connectivity might not be influenced by the same environmental factors (14). The end result is a reproducible methodology that enabled us to locate potentially isolated tsetse populations that might be considered as targets in eradication programs.…”
Section: The Challenges Of Tsetse Eliminationmentioning
confidence: 99%
“…Landscape friction has been studied in a number of species, with insects only represented in fewer than 10% of the studies (13). For example, studying friction allowed researchers to demonstrate that the rate of water loss plays a key role in the movement of a terrestrial woodland salamander, but also that models of habitat suitability or abundance may not be adequate proxies for gene flow (14).…”
Section: The Challenges Of Tsetse Eliminationmentioning
confidence: 99%