Biogeography. Группа авторов

E., Adrian, K., Raftery, E. (1995). Bayes factors. J. Am. Stat. Assoc., 90, 773–795.

      Ronquist, F. (1997). Dispersal-vicariance analysis: A new approach to the quantification of historical biogeography. Syst. Biol., 46, 195–203.

      Ronquist, F. (2003). Parsimony analysis of coevolving associations. In Tangled Trees: Phylogeny, Cospeciation, and Coevolution, RDM, 22–64. University of Chicago Press, Chicago, IL.

      Ronquist, F. (2004). Bayesian inference of character evolution. Trends Ecol. Evol., 19, 475–481.

      Ronquist, F. and Sanmartín, I. (2011). Phylogenetic methods in biogeography. Annu. Rev. Ecol., Evol., and Syst., 42, 441–464.

      Ronquist, F., Kudlicka, J., Senderov, V., Borgström, J., Lartillot, N., Lundén, D., Murray, L., Schön, T.B., Broman, D. (2020). Universal probabilistic programming: A powerful new approach to statistical phylogenetics [Online]. Available at: bioRxiv preprint doi: https://doi.org/10.1101/2020.06.16.154443, June 18, 2020.

      Sanmartín, I. (2012). Historical biogeography: Evolution in time and space. Evo. Edu. Outreach, 5, 555–568.

      Sanmartín, I. (2020). Breaking the chains of parsimony: The development of parametric methods in historical biogeography. In Biogeography: An Ecological and Evolutionary Approach, 10th edition, Cox, B.C., Moore, P.D., Ladle, R. (eds). Wiley, Hoboken, NJ.

      Sanmartín, I. and Ronquist, F. (2004). Southern hemisphere biogeography inferred by event-based models: Plant versus animal patterns. Syst. Biol., 53, 216–243.

Sanmartín, I., Enghoff, H., Ronquist, F. (2001). Patterns of animal dispersal, vicariance and diversification in the Holarctic. Biol. J. Linn. Soc., 73, 345–390.

      Sanmartín, I., Wanntorp, L., Winkworth, R. (2007). West wind drift revisited: Testing for directional dispersal in the southern hemisphere using event-based tree fitting. J. Biogeogr., 34, 398–416.

      Sanmartín, I., Van Der Mark, P., Ronquist, F. (2008). Inferring dispersal: A Bayesian approach to phylogeny-based island biogeography, with special reference to the Canary Islands. J. Biogeogr., 35, 428–449.

      Sanmartín, I., Anderson, C.L., Alarcon, M., Ronquist, F., Aldasoro, J.A. (2010). Bayesian island biogeography in a continental setting: The Rand Flora case. Biol. Lett., 6, 703–707.

      Smith, S.A. and Donoghue, M.J. (2010). Combining historical biogeography with niche modeling in the Caprifolium clade of Lonicera (Caprifoliaceae, Dipsacales). Syst. Biol., 59, 322–341.

      Sukumaran, J., Economo, E.P., Knowles, L. (2016). Machine learning biogeographic processes from biotic patterns: A new trait-dependent dispersal and diversification model with model choice by simulation-trained discriminant analysis. Syst. Biol., 65, 525–545.

      Tagliacollo, V.A., Duke-Sylvester, S.M., Matamoros, W.A., Chakrabarty, P., Albert, J.S. (2015). Coordinated dispersal and pre-Isthmian assembly of the Central American ichthyofauna. Syst. Biol., 66, 183–196.

      Wojciki, M. and Brooks, D.R. (2005). PACT: An efficient and powerful algorithm for generating area cladograms. J. Biogeogr., 32, 755–774.

      Yu, Y., Harris, A.J., Blair C., He, X. (2010). RASP (Reconstruct Ancestral State in Phylogenies): A tool for historical biogeography. Mol. Phylogen. Evol., 87, 46–49.