Data from: Song evolution, speciation, and vocal learning in passerine birds

Phenotypic divergence can promote reproductive isolation and speciation, suggesting a possible link between rates of phenotypic evolution and the tempo of speciation at multiple evolutionary scales. To date, most macroevolutionary studies of diversification have focused on morphological traits, whereas behavioral traitsࣧincluding vocal signalsࣧare rarely considered. Thus, although behavioral traits often mediate mate choice and gene flow, we have a limited understanding of how behavioral evolution contributes to diversification. Furthermore, the developmental mode by which behavioral traits are acquired may affect the rates of behavioral evolution, although this hypothesis is seldom tested in a phylogenetic framework. Here, we examine evidence for rate shifts in vocal evolution and speciation across two major radiations of codistributed passerines: one oscine clade with learned songs (Thraupidae) and one suboscine clade with innate songs (Furnariidae). We find that evolutionary bursts in rates of speciation and song evolution are coincident in both thraupids and furnariids. Further, overall rates of vocal evolution are higher among taxa with learned rather than innate songs. Taken together, these findings suggest an association between macroevolutionary bursts in speciation and vocal evolution, and that the tempo of behavioral evolution can be influenced by variation in developmental modes among lineages.Appendix1_ThraupidFurnariid_SongMassAppendix of phenotypic data used in this study. This is referenced by the R Scripts also included in this Dryad submission.Thraupidae and Furnariidae SupertreeThis phylogeny is a supertree that combines the MCC trees presented in Burns et al. (2014) and Derryberry et al. (2011). The Jetz et al. (2012) phylogeny is used to calibrate the age of the node that unites these two families. This phylogeny is referenced in the R scripts also included in this Dryad submission.mcctrim.treExampleBAMMInputfile_NoteCountThis is an example input file for BAMM using the character "Note Count".BAMMsetup_v3This R script generates input files for the BAMM analyses conducted in this study.BAMMOutput_v7This R script analyzes the BAMM output generated by this study and includes code for generating the figures presented here.SongRates_AdamsThis R script includes the code that was used to estimate and compare multivariate rates of trait evolution between Thraupids and Furnariids using the method developed by Adams (2014).Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: DEB-135400