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Conservation Genetics

, Volume 15, Issue 6, pp 1371–1379 | Cite as

Correlates of dispersal extent predict the degree of population genetic structuring in bats

  • Lynne E. BurnsEmail author
  • Hugh G. Broders
Research Article

Abstract

Dispersal is essential for maintaining demographic and genetic connectivity. For bats, correlates of dispersal extent such as morphology and movement dynamics are reported as having an influence on population genetic structure although these traits exhibit co-variance which has not been previously examined. We used a principal components framework with phylogenetically independent contrasts to compare five dispersal extent predictors (wing loading, aspect ratio, geographic range size, migratory status and median latitude) with population genetic structure among bats. We found that high wing loading values and migration negatively correlate with genetic structure after accounting for co-variance. These findings suggest that bats that can achieve higher flight speeds and migrate seasonally have higher gene flow and resultant genetic connectivity relative to bats that fly slower and do not migrate. These results represent a step towards understanding factors that shaped the genetic structure of bat populations.

Keywords

Bats Dispersal Migration Wing loading Population genetic structure 

Notes

Acknowledgments

We thank H. Whitehead, M. Leonard, A. Pinder, T. Frasier and two anonymous reviewers for thoughtful discussion and comments that greatly improved this manuscript. G. Baker and C. Garroway provided assistance with the GIS and R analysis, respectively. This research was funded by an NSERC post-graduate scholarship (LEB) and NSERC Discovery Grant (HGB).

Supplementary material

10592_2014_623_MOESM1_ESM.docx (135 kb)
Supplementary material 1 (DOCX 134 kb)
10592_2014_623_MOESM2_ESM.docx (25 kb)
Supplementary material 2 (DOCX 24 kb)

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Department of BiologyDalhousie University, Life Sciences CentreHalifaxCanada
  2. 2.Department of BiologySaint Mary’s UniversityHalifaxCanada

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