Christopher Blair

TL;DR: Reconstruct Ancestral State in Phylogenies (RASP), a user-friendly software package for inferring historical biogeography through reconstructing ancestral geographic distributions on phylogenetic trees and generates high-quality exportable graphical results.

TL;DR: RASP as discussed by the authors is a software to reconstruct ancestral states through phylogenetic trees, which can apply generalized statistical ancestral reconstruction methods to phylogenies, explore the phylogenetic signal of characters to particular trees, calculate distances between trees, and cluster trees into groups.

TL;DR: Bayesian clustering methods performed best overall, both in terms of highest success rates and lowest time to barrier detection, with GENELAND showing the highest power.

TL;DR: A large data set of mitochondrial ND4 sequences from horned lizards is compiled to elucidate congruence using four tree‐based (single‐threshold GMYC), multiple‐th threshold GMYC, bPTP, mPTP and one distance‐based species delimitation models, suggesting that the mP TP model may be preferable in empirical data sets with highly uneven sampling or large differences in effective population sizes of species.

TL;DR: It is suggested that traditional methods are inadequate for these highly heterogeneous data sets and that researchers employ newer more sophisticated search algorithms in their analyses.