An evaluation of new parsimony-based versus parametric inference methods in biogeography: a case study using the globally distributed plant family Sapindaceae
Article first published online: 3 DEC 2010
© 2010 Blackwell Publishing Ltd
Journal of Biogeography
Volume 38, Issue 3, pages 531–550, March 2011
How to Cite
Buerki, S., Forest, F., Alvarez, N., Nylander, J. A. A., Arrigo, N. and Sanmartín, I. (2011), An evaluation of new parsimony-based versus parametric inference methods in biogeography: a case study using the globally distributed plant family Sapindaceae. Journal of Biogeography, 38: 531–550. doi: 10.1111/j.1365-2699.2010.02432.x
- Issue published online: 3 FEB 2011
- Article first published online: 3 DEC 2010
Appendix S1 Expanded material and methods. (a) List of fossils (and associated references) used in the phylogenetic dating analysis. (b) Description of the palaeogeographical model used in the Lagrange Str analysis.
Appendix S2 Supplementary tables. Tables S1–S3: contingency tables showing number and type of biogeographical events inferred by Bayes-DIVA, Lagrange M1 and Lagrange Str, respectively. Table S4 shows for each method the frequency of dispersal events between areas, sorted by time slices.
Figure S1 The location of nodes in the Sapindaceae phylogeny.
Figure S2 The biogeographical scenario – ancestral ranges and biogeographical events – inferred by Lagrange M1 analysis.
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