S. Finnegan
Identifying the most surprising victims of mass extinction events: an example using Late Ordovician Brachiopods
Finnegan, S.; Rasmussen, C.M.Ø; Harper, D.A.T.
Abstract
Mass extinction events are recognized by increases in extinction rate and magnitude and, often, by changes in the selectivity of extinction. When considering the selective fingerprint of a particular event, not all taxon extinctions are equally informative: some would be expected even under a ‘background’ selectivity regime, whereas others would not and thus require special explanation. When evaluating possible drivers for the extinction event, the latter group is of particular interest. Here, we introduce a simple method for identifying these most surprising victims of extinction events by training models on background extinction intervals and using these models to make per-taxon assessments of ‘expected’ risk during the extinction interval. As an example, we examine brachiopod genus extinctions during the Late Ordovician Mass Extinction and show that extinction of genera in the deep-water ‘Foliomena fauna’ was particularly unexpected given preceding Late Ordovician extinction patterns.
Citation
Finnegan, S., Rasmussen, C., & Harper, D. (2017). Identifying the most surprising victims of mass extinction events: an example using Late Ordovician Brachiopods. Biology Letters, 13(9), Article 2017400. https://doi.org/10.1098/rsbl.2017.0400
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 6, 2017 |
Online Publication Date | Sep 27, 2017 |
Publication Date | Sep 27, 2017 |
Deposit Date | Sep 22, 2017 |
Publicly Available Date | Oct 2, 2017 |
Journal | Biology Letters |
Print ISSN | 1744-9561 |
Electronic ISSN | 1744-957X |
Publisher | The Royal Society |
Peer Reviewed | Peer Reviewed |
Volume | 13 |
Issue | 9 |
Article Number | 2017400 |
DOI | https://doi.org/10.1098/rsbl.2017.0400 |
Public URL | https://durham-repository.worktribe.com/output/1344503 |
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Copyright Statement
© 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution
License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original
author and source are credited.
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