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Conference object . 2022
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Probabilistic Modeling of Bursts and Gradual Changes of Diversification Rates in Bird Evolution

Authors: Senderov, Viktor; Kudlicka, Jan; Lartillot, Nicolas; Lundén, Daniel; Quintero, Ignacio; Morlon, Hélène; Broman, David; +1 Authors

Probabilistic Modeling of Bursts and Gradual Changes of Diversification Rates in Bird Evolution

Abstract

In our previous work, the PhyPPL concept paper [1], we used the sequential Monte-Carlo algorithm in a probabilistic programming language framework to do a Bayes factor comparison for the diversification models CRBD, TDBD, BAMM, LSBDS (not shown, a weaker variation of BAMM), and the novel ClaDS on the 40 bird clades having more than 50 species, taken from https://birdtree.org/. We identified four patterns: ● Group 1 (small trees such as Alcedinidae): simple models are adequate (CRBD as good as the others); ● Group 2 (e.g. Muscicapidae-+): evidence for slowing down of diversification (TDBD outperforms others); ● Group 3 (e.g. Accipitridae): cladogenetic changes in diversification (ClaDS outperforms others); ● Group 4 (e.g. Anatinae): cladogenetic and punctuated anagenetic lineage-specific changes. (ClaDS and BAMM/ LSBDS best). We introduce two new models (AnaDS-GBM and AnaDS-GBM+LS) to investigate the effect of gradual and punctuated anagenetic changes in speciation rates. For this poster we tested AnaDS-GBM on one tree per group.

Keywords

phylogenetics, diversification, geometric Brownian motion, bird evolution, probabilistic programming languages, C++

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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