Literature DB >> 21261764

Why replication is important in landscape genetics: American black bear in the Rocky Mountains.

R A Short Bull1, S A Cushman, R Mace, T Chilton, K C Kendall, E L Landguth, M K Schwartz, K McKelvey, Fred W Allendorf, G Luikart.   

Abstract

We investigated how landscape features influence gene flow of black bears by testing the relative support for 36 alternative landscape resistance hypotheses, including isolation by distance (IBD) in each of 12 study areas in the north central U.S. Rocky Mountains. The study areas all contained the same basic elements, but differed in extent of forest fragmentation, altitude, variation in elevation and road coverage. In all but one of the study areas, isolation by landscape resistance was more supported than IBD suggesting gene flow is likely influenced by elevation, forest cover, and roads. However, the landscape features influencing gene flow varied among study areas. Using subsets of loci usually gave models with the very similar landscape features influencing gene flow as with all loci, suggesting the landscape features influencing gene flow were correctly identified. To test if the cause of the variability of supported landscape features in study areas resulted from landscape differences among study areas, we conducted a limiting factor analysis. We found that features were supported in landscape models only when the features were highly variable. This is perhaps not surprising but suggests 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. Failure to investigate multiple study areas that have a range of variability in landscape features could cause misleading inferences about which landscape features generally limit gene flow. This could lead to potentially erroneous identification of corridors and barriers if models are transferred between areas with different landscape characteristics.
© 2011 Blackwell Publishing Ltd.

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Year:  2011        PMID: 21261764     DOI: 10.1111/j.1365-294X.2010.04944.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  31 in total

1.  Landscape models for nuclear genetic diversity and genetic structure in white-footed mice (Peromyscus leucopus).

Authors:  Z S Taylor; S M G Hoffman
Journal:  Heredity (Edinb)       Date:  2014-01-22       Impact factor: 3.821

Review 2.  Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions.

Authors:  Sean Hoban; Joanna L Kelley; Katie E Lotterhos; Michael F Antolin; Gideon Bradburd; David B Lowry; Mary L Poss; Laura K Reed; Andrew Storfer; Michael C Whitlock
Journal:  Am Nat       Date:  2016-08-15       Impact factor: 3.926

3.  Fine-scale landscape genetics of the American badger (Taxidea taxus): disentangling landscape effects and sampling artifacts in a poorly understood species.

Authors:  E M Kierepka; E K Latch
Journal:  Heredity (Edinb)       Date:  2015-08-05       Impact factor: 3.821

4.  Predicting landscape-genetic consequences of habitat loss, fragmentation and mobility for multiple species of woodland birds.

Authors:  J Nevil Amos; Andrew F Bennett; Ralph Mac Nally; Graeme Newell; Alexandra Pavlova; James Q Radford; James R Thomson; Matt White; Paul Sunnucks
Journal:  PLoS One       Date:  2012-02-17       Impact factor: 3.240

5.  Current and historical drivers of landscape genetic structure differ in core and peripheral salamander populations.

Authors:  Rachael Y Dudaniec; Stephen F Spear; John S Richardson; Andrew Storfer
Journal:  PLoS One       Date:  2012-05-10       Impact factor: 3.240

6.  Precision and bias of spatial capture-recapture estimates: A multi-site, multi-year Utah black bear case study.

Authors:  Greta M Schmidt; Tabitha A Graves; Jordan C Pederson; Sarah L Carroll
Journal:  Ecol Appl       Date:  2022-05-17       Impact factor: 6.105

7.  Landscape characteristics influencing the genetic structure of greater sage-grouse within the stronghold of their range: a holistic modeling approach.

Authors:  Jeffrey R Row; Sara J Oyler-McCance; Jennifer A Fike; Michael S O'Donnell; Kevin E Doherty; Cameron L Aldridge; Zachary H Bowen; Bradley C Fedy
Journal:  Ecol Evol       Date:  2015-05-01       Impact factor: 2.912

8.  Multiscale patterns of isolation by ecology and fine-scale population structure in Texas bobcats.

Authors:  Imogene A Cancellare; Elizabeth M Kierepka; Jan Janecka; Byron Weckworth; Richard T Kazmaier; Rocky Ward
Journal:  PeerJ       Date:  2021-06-03       Impact factor: 2.984

9.  Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer.

Authors:  Tyler K Chafin; Zachery D Zbinden; Marlis R Douglas; Bradley T Martin; Christopher R Middaugh; M Cory Gray; Jennifer R Ballard; Michael E Douglas
Journal:  Evol Appl       Date:  2021-05-04       Impact factor: 5.183

10.  Scale-dependent effects of a heterogeneous landscape on genetic differentiation in the Central American squirrel monkey (Saimiri oerstedii).

Authors:  Mary E Blair; Don J Melnick
Journal:  PLoS One       Date:  2012-08-15       Impact factor: 3.240

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