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Abstract Detail



Systematics

Song, Mick [1], Tribble, Carrie [2], Martinez-Gomez, Jesus [3], Freyman, William [4], Hohna, Sebastian [5], Specht, Chelsea [3], Rothfels, Carl [6].

Diversification rates across lineages: how does biological meaning differ across model-based approaches?

Recent methodological advances have greatly improved our ability to study the variation in diversification rates across lineages. However, to date, no study has systematically compared the results of different model-based approaches for estimating branch specific diversification rates on empirical datasets. Here, we present preliminary data on our reanalysis of 20 recent studies to determine if theoretical and statistical differences in these models result in meaningful differences in the biological interpretation of results. We compare BAMM, the Lineage-Specific Birth-Death-Shift Process implemented in RevBayes, the Missing State-dependent Speciation and Extinction model (MiSSE), and a Multi-State Birth-Death model implemented in BEAST2 to probe possible biases across methods that attempt to†reliably estimate diversification rate variation.


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1 - UC Berkeley
2 - University Of California, Berkeley, Rothfels Lab, UC Jepson Herbarium, 1001 Valley Life Sciences Building, Berkeley, CA, 94720, United States
3 - Cornell University
4 - 1815 JFK Blvd Apt 834, Philadelphia, PA, 19103, United States
5 - Ludwig-Maximilians-Universitšt
6 - University Of California Berkeley, University Herbarium And Departmenty Of Integrative Biology, 1001 Valley Life Science Building, Berkeley, CA, 94720, United States

Keywords:
bamm
revbayes
diversification
SSE
branch specific diversification rates.

Presentation Type: Poster
Session: P, Systematics Posters
Location: Arizona Ballroom/Starr Pass
Date: Monday, July 29th, 2019
Time: 5:30 PM This poster will be presented at 5:30 pm. The Poster Session runs from 5:30 pm to 7:00 pm. Posters with odd poster numbers are presented at 5:30 pm, and posters with even poster numbers are presented at 6:15 pm.
Number: PSY009
Abstract ID:312
Candidate for Awards:None


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