T170 Stratigraphic Paleobiology: Working with the Nature of the Stratigraphic Record to Address Paleobiological Questions (Posters)

Tuesday, 11 October 2022
9:00 AM - 1:00 PM
Exhibit Hall F


CONFIDENCE INTERVALS FOR THE DURATION OF A MASS EXTINCTION

Paper number: T170-1
Program: Technical Sessions
Time: 9:00 AM – 1:00 PM


Authors


Abstract

There are several statistical methods for distinguishing whether a mass extinction is sudden or gradual, based on the stratigraphic positions of fossil taxa. This distinction, however, is in some sense a false dichotomy. A “gradual” mass extinction can encompass a wide range of scenarios, from nearly simultaneous to very protracted. Moreover, a dataset of stratigraphic positions can be consistent with both sudden and gradual scenarios. Here, instead of asking whether an extinction event was sudden or gradual, we reframe the question as “how gradual was it?” To do so, we calculate a confidence interval for the duration of the extinction, defined as the difference between the ages or stratigraphic positions of the first and last taxa to go extinct. In this framework, an interval that includes zero indicates that the data are consistent with a simultaneous extinction (although they may also be consistent with a range of gradual scenarios). Our approach follows that of Wang et al 2012 (Paleobiology). However, their approach assumes uniform recovery and preservation of fossils, a strong and typically unrealistic assumption. Here, we relax this assumption by incorporating the approach of Wang et al 2016 (Paleobiology), which used the Reflected Beta distribution to model fossil recovery potential. We describe a Monte Carlo (simulation-based) methodology to compute confidence intervals, which relies on inverting a series of hypothesis tests, and demonstrate the method on an illustrative dataset.

Geological Society of America Abstracts with Programs. Vol. 54, No. 6

doi: 10.1130/abs/2022AM-380395

© Copyright 2022 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.