title: Investigating the timing of origin and evolutionary processes shaping regional species diversity: Insights from simulated data and neotropical butterfly diversification rates.
abstract: Different diversification scenarios have been proposed to explain the origin of extant biodiversity. However, most existing meta-analyses of time-calibrated phylogenies rely on approaches that do not quantitatively test alternative diversification processes. Here, I highlight the shortcomings of using species divergence ranks, which is a method widely used in meta-analyses. Divergence ranks consist of categorizing cladogenetic events to certain periods of time, typically to either Pleistocene or to pre-Pleistocene ages. This approach has been claimed to shed light on the origin of most extant species and the timing and dynamics of diversification in any biogeographical region. However, interpretations drawn from such method often confound two fundamental questions in macroevolutionary studies, tempo (timing of evolutionary rate shifts) and mode ("how" and "why" of speciation). By using simulated phylogenies under four diversification scenarios, constant-rate, diversity-dependence, high extinction, and high speciation rates in the Pleistocene, I showed that interpretations based on species divergence ranks might have been seriously misleading. Future meta-analyses of dated phylogenies need to be aware of the impacts of incomplete taxonomic sampling, tree topology, and divergence time uncertainties, as well as they might be benefited by including quantitative tests of alternative diversification models that acknowledge extinction and diversity dependence.
authors.affiliation: School of Biological Sciences, University of South Bohemia and Institute of Entomology, Biology Centre CAS, Ceske Budejovice, Czech Republic. pavelm14@gmail.com.
authors.forename: Pável
authors.initials: P
authors.lastname: Matos-Maraví
mesh_terms: D000818:Animals; D044822:Biodiversity; D005075:Biological Evolution; D002080:Butterflies / Q000502:physiology*; D002489:Central America; D003198:Computer Simulation; D053476:Extinction, Biological; D049810:Genetic Speciation; D008800:Mexico; D010802:Phylogeny; D013020:South America
keywords: Amazonia; Neogene; Pleistocene refuges; density-dependence; extinction; museum model