194 D18. Paleontology: Diversity, Extinction, Origination (Posters)

Tuesday, 24 September 2019
9:00 AM - 6:30 PM
Hall AB, North Building


ESTIMATING EVOLUTIONARY VOLATILITY AND PREDICTING EXTINCTION USING A LIKELIHOOD-BASED MODEL

Paper number: 194-4
Program: Technical Sessions
Time: 9:00 AM – 6:30 PM


Authors


Abstract

The emergence of large online databases enables methods of analyzing the fossil record that would previously have been too time-consuming or statistically weak. This study explores the use of a stochastic birth-death model to obtain maximum likelihood estimates of volatility (the combined rate of speciation and extinction).

Estimating evolutionary rates as model parameters allows for projections of future diversity. The use of a continuous-time model eliminates the need for binning and allows projections to be made at any time scale, from tens to millions of years. Projections in the near future can be used to evaluate extinction risk, and projections in geologic time can be used as a null model for events in the fossil record.

Simulations indicate the method can obtain precise rate estimates for fossil data sets of moderate to large size. Initial tests of the method on bivalve data confirm previous studies showing a correlation between speciation and extinction rates.


Geological Society of America Abstracts with Programs. Vol. 51, No. 5

doi: 10.1130/abs/2019AM-335979

© Copyright 2019 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.