T180 Linking Biological Questions to Paleontological Data: Statistical Models, Technological Advancements and Conceptual Improvements I
Thursday, 29 October 2020
10:00 AM - 12:00 PM
Meeting Rooms
TOTAL-EVIDENCE BAYESIAN INFERENCE OF PAST DIVERSITY: THE OCCURRENCE BIRTH-DEATH PROCESS
Paper number: T180-3
Program: Technical Sessions
Time: 10:30 AM – 10:45 AM
Authors
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Antoine ZwaansETH Zurich, Basel
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Rachel C.M. WarnockFriedrich-Alexander Universität Erlangen-Nürnberg, Erlangen
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Gabriel Aguirre FernandezUniversity of Zurich, Zürich
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Joëlle Barido-SottaniIowa State University, Ames, IA
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Ankit GuptaETH Zurich, Basel
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Tanja StadlerETH Zurich, Basel
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Marc ManceauETH Zurich, Basel
Abstract
Here, we build on recent methodological developments around the Fossilized Birth-Death Process enabling us to (i) efficiently incorporate occurrence data while remaining computationally tractable and scalable; (ii) consider piecewise-constant birth, death and sampling rates; and (iii) reconstruct past population sizes, with or without knowledge of the underlying tree. We implement our method in the RevBayes software environment, enabling its use along with a large set of models of molecular and morphological evolution, and validate the inference workflow using simulations under a wide range of conditions.
We finally illustrate the method on an empirical case study of cetaceans, inferring the diversity trajectory using molecular and morphological data from extant taxa, morphological data from fossils, as well as numerous fossil occurrences. Our results highlight the benefit of using a model-based phylodynamic framework to jointly integrate all available data and explicitly take into account key features of clades' macroevolutionary history.
Geological Society of America Abstracts with Programs. Vol. 52, No. 6
doi: 10.1130/abs/2020AM-353644
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