Document of bibliographic reference 354713

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Machine learning identifies ecological selectivity patterns across the end-Permian mass extinction
Abstract
The end-Permian mass extinction occurred alongside a large swath of environmental changes that are often invoked as extinction mechanisms, even when a direct link is lacking. One way to elucidate the cause(s) of a mass extinction is to investigate extinction selectivity, as it can reveal critical information on organismic traits as key determinants of extinction and survival. Here we show that machine learning algorithms, specifically gradient boosted decision trees, can be used to identify determinants of extinction as well as to predict extinction risk. To understand which factors led to the end-Permian mass extinction during an extreme global warming event, we quantified the ecological selectivity of marine extinctions in the well-studied South China region. We find that extinction selectivity varies between different groups of organisms and that a synergy of multiple environmental stressors best explains the overall end-Permian extinction selectivity pattern. Extinction risk was greater for genera that had a low species richness, narrow bathymetric ranges limited to deep-water habitats, a stationary mode of life, a siliceous skeleton, or, less critically, calcitic skeletons. These selective losses directly link the extinctions to the environmental effects of rapid injections of carbon dioxide into the ocean–atmosphere system, specifically the combined effects of expanded oxygen minimum zones, rapid warming, and potentially ocean acidification.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000762536400001
Bibliographic citation
Foster, W.J.; Ayzel, G.; Münchmeyer, J.; Rettelbach, T.; Kitzmann, N.H.; Isson, T.T.; Mutti, M.; Aberhan, M. (2022). Machine learning identifies ecological selectivity patterns across the end-Permian mass extinction. Paleobiology 48(3): 357-371. https://dx.doi.org/10.1017/pab.2022.1
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
William Foster
author
Name
Georgy Ayzel
author
Name
Jannes Münchmeyer
author
Name
Tabea Rettelbach
author
Name
Niklas Kitzmann
author
Name
Terry Isson
author
Name
Maria Mutti
author
Name
Martin Aberhan

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1017/pab.2022.1

Document metadata

date created
2022-08-08
date modified
2022-08-08