Data Archived: Dryad doi: 10.5061/dryad.5nt3r
EVOLUTION OF VIVIPARITY: A PHYLOGENETIC TEST OF THE COLD-CLIMATE HYPOTHESIS IN PHRYNOSOMATID LIZARDS
Version of Record online: 8 MAY 2013
© 2013 The Author(s). Evolution © 2013 The Society for the Study of Evolution.
Volume 67, Issue 9, pages 2614–2630, September 2013
How to Cite
Lambert, S. M. and Wiens, J. J. (2013), EVOLUTION OF VIVIPARITY: A PHYLOGENETIC TEST OF THE COLD-CLIMATE HYPOTHESIS IN PHRYNOSOMATID LIZARDS. Evolution, 67: 2614–2630. doi: 10.1111/evo.12130
- Issue online: 3 SEP 2013
- Version of Record online: 8 MAY 2013
- Accepted manuscript online: 22 APR 2013 04:55PM EST
- Manuscript Accepted: 18 MAR 2013
- Manuscript Received: 30 NOV 2012
Disclaimer: Supplementary materials have been peer-reviewed but not copyedited.
|evo12130-sup-0001-Appendix.docx||48K||Appendix S1. List of taxa used in this study with information on reproductive mode (0 = oviparous, 1 = viviparous) and the continuous variables used in comparative analyses.|
|evo12130-sup-0002-TableS2.xlsx||11K||Table S2. Results of likelihood ratio tests for significant phylogenetic signal for all continuous traits used in ancestral reconstructions.|
|evo12130-sup-0003-TableS3.xlsx||10K||Table S3. Results from phylogenetic logistic regression and the threshold model, using the dataset with taxa having uncertain reproductive modes removed.|
|evo12130-sup-0004-TableS4.xlsx||9K||Table S4. ΔAICc scores for all models tested for phylogenetic generalized least squares comparisons of range sizes and temperature niche breadths.|
|evo12130-sup-0005-TableS5.xlsx||12K||Table S5. Full results from phylogenetic generalized least squares comparisons of range sizes and temperature niche breadths, for all models having ΔAICc scores of < 2.|
|evo12130-sup-0006-TableS6.docx||17K||Table S6. Reproductive mode for species not included in the phylogenetic tree (0 = oviparous, 1 = viviparous).|
|evo12130-sup-0007-TableS7.xlsx||12K||Table S7. Pearson product-moment correlations between independent variables at each taxonomic scale, calculated using the “cor.test” function in R.|
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