Literature DB >> 30544232

How Well Can We Estimate Diversity Dynamics for Clades in Diversity Decline?

Gustavo Burin1, Laura R V Alencar1, Jonathan Chang2, Michael E Alfaro2, Tiago B Quental1.   

Abstract

The fossil record shows that the vast majority of all species that ever existed are extinct and that most lineages go through an expansion and decline in diversity. However, macroevolutionary analyses based upon molecular phylogenies have difficulty inferring extinction dynamics, raising questions about whether the neontological record can contribute to an understanding of the decline phenomenon. Two recently developed diversification methods for molecular phylogenies (RPANDA and BAMM) incorporate models that theoretically have the capacity to capture decline dynamics by allowing extinction to be higher than speciation. However, the performance of these frameworks over a wide range of decline scenarios has not been studied. Here, we investigate the behavior of these methods under decline scenarios caused by decreasing speciation and increasing extinction through time on simulated trees at fixed intervals over diversity trajectories with expansion and decline phases. We also compared method performance over a comprehensive data set of 214 empirical trees. Our results show that both methods perform equally well when varying speciation rates control decline. When decline was only caused by an increase in extinction rates both methods wrongly assign the variation in net diversification to a drop in speciation, even though the positive gamma values of those trees would suggest otherwise. We also found a tendency for RPANDA to favor increasing extinction and BAMM to favor decreasing speciation as the most common cause of decline in empirical trees. Overall our results shed light on the limitations of both methods, encouraging researchers to carefully interpret the results from diversification studies.

Mesh:

Year:  2019        PMID: 30544232     DOI: 10.1093/sysbio/syy037

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  4 in total

1.  Diversification rates, clade ages, and macroevolutionary methods.

Authors:  John J Wiens; Joshua P Scholl
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-12       Impact factor: 11.205

2.  Pulled Diversification Rates, Lineages-Through-Time Plots, and Modern Macroevolutionary Modeling.

Authors:  Andrew J Helmstetter; Sylvain Glemin; Jos Käfer; Rosana Zenil-Ferguson; Hervé Sauquet; Hugo de Boer; Léo-Paul M J Dagallier; Nathan Mazet; Eliette L Reboud; Thomas L P Couvreur; Fabien L Condamine
Journal:  Syst Biol       Date:  2022-04-19       Impact factor: 9.160

3.  A phylogenetic study to assess the link between biome specialization and diversification in swallowtail butterflies.

Authors:  Sara Gamboa; Fabien L Condamine; Juan L Cantalapiedra; Sara Varela; Jonathan S Pelegrín; Iris Menéndez; Fernando Blanco; Manuel Hernández Fernández
Journal:  Glob Chang Biol       Date:  2022-07-23       Impact factor: 13.211

4.  Molecules and fossils tell distinct yet complementary stories of mammal diversification.

Authors:  Nathan S Upham; Jacob A Esselstyn; Walter Jetz
Journal:  Curr Biol       Date:  2021-07-29       Impact factor: 10.900

  4 in total

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