Scale-dependent effects of landscape variables on gene flow and population structure in bats
Article first published online: 4 APR 2014
© 2014 John Wiley & Sons Ltd
Diversity and Distributions
Volume 20, Issue 10, pages 1173–1185, October 2014
How to Cite
Razgour, O., Rebelo, H., Puechmaille, S. J., Juste, J., Ibáñez, C., Kiefer, A., Burke, T., Dawson, D. A., Jones, G. (2014), Scale-dependent effects of landscape variables on gene flow and population structure in bats. Diversity and Distributions, 20: 1173–1185. doi: 10.1111/ddi.12200
- Issue published online: 8 SEP 2014
- Article first published online: 4 APR 2014
- Bat Conservation Trust
- NERC Facility
- University of Sheffield. Grant Number: NBAF548
- Fundação para Ciência Tecnologia
- IRCSET-Marie Curie Fellowship
Appendix S1 Supplementary methods
Figure S1 The location of samples included in the analysis of gene flow rates across the three geographical barriers.
Figure S2 Geneland maps of probability of assignment to the nine genetic clusters.
Figure S3 Variables included in the fine-scale SDM (UK) and their relative contribution to the model.
Figure S4 Variables included in the broad-scale SDM (Europe) and their relative contribution to the model.
Figure S5 The location of genetic barriers identified in the Monmonier's algorithm analysis.
Table S1 The geographical location of the 259 Plecotus austriacus genetic samples included in the study.
Table S2 Population genetic analysis of Plecotus austriacus colonies.
Table S3 Genetic differentiations between pairs of Plecotus austriacus colonies.
Table S4 Genetic differentiations between pairs of Plecotus austriacus population clusters.
Table S5 Contemporary gene flow rates across geographical barriers.
Table S6 Mantel test results for the broad, European scale colony analysis.
Table S7 Mantel test results for the broad, European scale genetic cluster analysis.
Table S8 Mantel test results for fine, England-Channel Isles scale colony analysis.
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