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Unveiling the underlying drivers of Phanerozoic marine diversification

Abstract:
In investigating global patterns of biodiversity through deep time, many large-scale drivers of diversification have been proposed, both biotic and abiotic. However, few robust conclusions about these hypothesized effectors or their roles have been drawn. Here, we use a linear stochastic differential equation (SDE) framework to test for the presence of underlying drivers of diversification patterns before examining specific hypothesized drivers. Using a global dataset of observations of skeletonized marine fossils, we infer origination, extinction and sampling rates (collectively called fossil time series) throughout the Phanerozoic using a capture–mark–recapture approach. Using linear SDEs, we then compare models including and excluding hidden (i.e. unmeasured) drivers of these fossil time series. We find evidence of large-scale underlying drivers of marine Phanerozoic diversification rates and present quantitative characterizations of these. We then test whether changing global temperature, sea-level, marine sediment area or continental fragmentation could act as drivers of the fossil time series. We show that it is unlikely any of these four abiotic factors are the hidden drivers we identified, though there is evidence for correlative links between sediment area and origination/extinction rates. Our characterization of the hidden drivers of Phanerozoic diversification and sampling will aid in the search for their ultimate identities.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rspb.2024.0165

Authors


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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-9163-0742
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Role:
Author
ORCID:
0000-0003-0793-8731
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Role:
Author
ORCID:
0000-0002-3732-6069


Publisher:
The Royal Society
Journal:
Proceedings of the Royal Society B: Biological Sciences More from this journal
Volume:
291
Issue:
2025
Article number:
20240165
Publication date:
2024-06-19
Acceptance date:
2024-03-26
DOI:
EISSN:
1471-2954
ISSN:
0962-8452


Language:
English
Keywords:
Source identifiers:
2051967
Deposit date:
2024-06-19

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