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Journal Article

How predictable are mass extinction events?

Authors

Foster,  William J.
External Organizations;

Allen,  Bethany J.
External Organizations;

/persons/resource/Niklas.Kitzmann

Kitzmann,  Niklas
Potsdam Institute for Climate Impact Research;

Münchmeyer,  Jannes
External Organizations;

Rettelbach,  Tabea
External Organizations;

Witts,  James D.
External Organizations;

Whittle,  Rowan J.
External Organizations;

Larina,  Ekaterina
External Organizations;

Clapham,  Matthew E.
External Organizations;

Dunhill,  Alexander M.
External Organizations;

External Ressource

https://doi.org/10.5281/zenodo.7646020
(Supplementary material)

Fulltext (public)

28249oa.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Foster, W. J., Allen, B. J., Kitzmann, N., Münchmeyer, J., Rettelbach, T., Witts, J. D., Whittle, R. J., Larina, E., Clapham, M. E., Dunhill, A. M. (2023): How predictable are mass extinction events? - Royal Society Open Science, 10, 3, 221507.
https://doi.org/10.1098/rsos.221507


Cite as: https://publications.pik-potsdam.de/pubman/item/item_28249
Abstract
Many modern extinction drivers are shared with past mass extinction events, such as rapid climate warming, habitat loss, pollution and invasive species. This commonality presents a key question: can the extinction risk of species during past mass extinction events inform our predictions for a modern biodiversity crisis? To investigate if it is possible to establish which species were more likely to go extinct during mass extinctions, we applied a functional trait-based model of extinction risk using a machine learning algorithm to datasets of marine fossils for the end-Permian, end-Triassic and end-Cretaceous mass extinctions. Extinction selectivity was inferred across each individual mass extinction event, before testing whether the selectivity patterns obtained could be used to ‘predict’ the extinction selectivity exhibited during the other mass extinctions. Our analyses show that, despite some similarities in extinction selectivity patterns between ancient crises, the selectivity of mass extinction events is inconsistent, which leads to a poor predictive performance. This lack of predictability is attributed to evolution in marine ecosystems, particularly during the Mesozoic Marine Revolution, associated with shifts in community structure alongside coincident Earth system changes. Our results suggest that past extinctions are unlikely to be informative for predicting extinction risk during a projected mass extinction.