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Erin L. Landguth
Researcher at University of Montana
Publications - 98
Citations - 4564
Erin L. Landguth is an academic researcher from University of Montana. The author has contributed to research in topics: Population & Biological dispersal. The author has an hindex of 33, co-authored 88 publications receiving 3784 citations. Previous affiliations of Erin L. Landguth include University of Washington & United States Forest Service.
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Journal ArticleDOI
Quantifying the lag time to detect barriers in landscape genetics
Erin L. Landguth,Samuel A. Cushman,Michael K. Schwartz,Kevin S. McKelvey,Melanie A. Murphy,Gordon Luikart,Gordon Luikart +6 more
TL;DR: The number of generations for new landscape barrier signatures to become detectable and for old signatures to disappear after barrier removal is quantified and suggests that individual‐based landscape genetic approaches can improve the ability to measure effects of existing landscape features on genetic structure and connectivity.
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Spurious correlations and inference in landscape genetics
TL;DR: In this paper, the authors evaluate the power of causal-modeling with partial Mantel tests in individual-based landscape genetic analysis and find that causal modelling is extremely effective at rejecting incorrect explanations and correctly identifying the true causal process.
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Detecting spatial genetic signatures of local adaptation in heterogeneous landscapes
Brenna R. Forester,Matthew R. Jones,Stéphane Joost,Erin L. Landguth,Jesse R. Lasky,Jesse R. Lasky +5 more
TL;DR: The strength of local adaptation increased in spatially aggregated selection regimes, but remained strong in patchy landscapes when selection was moderate to strong, suggesting weak selection resulted in weak local adaptation that was relatively unaffected by landscape heterogeneity.
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cdpop: A spatially explicit cost distance population genetics program.
TL;DR: This model implements individual‐based population modelling with Mendelian inheritance and k‐allele mutation on a resistant landscape and simulates changes in population and genotypes through time as functions of individual based movement, reproduction, mortality and dispersal on a continuous cost surface.
Journal ArticleDOI
Why replication is important in landscape genetics: American black bear in the Rocky Mountains.
R. A. Short Bull,Samuel A. Cushman,R. Mace,T. Chilton,Katherine C. Kendall,Erin L. Landguth,Erin L. Landguth,Michael K. Schwartz,Kevin S. McKelvey,Fred W. Allendorf,Gordon Luikart,Gordon Luikart +11 more
TL;DR: It is found that features were supported in landscape models only when the features were highly variable, suggesting an important cautionary note – that if landscape features are not found to influence gene flow, researchers should not automatically conclude that the features are unimportant to the species’ movement and gene flow.