T12 Advances in Using Sedimentary Data to Constrain the Timing and Rates of Geologic Events and Processes I
Sunday, 22 September 2019
8:00 AM - 12:00 PM
Room 222BC, North Building
QUANTIFYING BIOSTRATIGRAPHIC UNCERTAINTY FOR BAYESIAN TIMESCALE CALIBRATION
Paper number: T12-2
Program: Technical Sessions
Time: 8:05 AM – 8:20 AM
Authors
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Bradley Cramer Presenting AuthorUniversity of Iowa Dept of Earth & Environmental Sciences, Iowa City, IA
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Nicholas SullivanUniversity of Wisconsin - MadisonGeoscience, Madison, WI
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Alyssa M. BancroftIndiana University, Bloomington, IN
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Neo McAdamsTexas Tech UniversityDepartment of Geosciences, Lubbock, TX
Abstract
Multiple methods for quantitative stratigraphy have been developed in the past 50 years, including powerful computer programs such as CONOP or Horizon Annealing. Each of these is capable of providing methods for determining uncertainty estimates for biostratigraphic data, including the first and last appearances of species in a given stratigraphic section. However, these uncertainties are typically not presented as probability distributions of uncertainty in the same way that we typically see radioisotope data. With the recent progress in Bayesian methods of timescale calibration, the ability to determine probability density as a measure of stratigraphic uncertainty will become an increasingly critical issue and should be a new primary objective of the biostratigraphic community. The ability (or inability) to determine the temporal consequences of paleobiogeographic diachroneity due to origination, distribution, and refugia, has now become the largest uncertainty in the calibration of the geologic timescale and represents a major new objective for the paleontological community going forward.
Geological Society of America Abstracts with Programs. Vol. 51, No. 5
doi: 10.1130/abs/2019AM-338765
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