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Reliable biogeography requires fossils: insights from a new species-level phylogeny of extinct and living carnivores

Abstract:
A central objective of historical biogeography is to understand where clades originated and how they moved across space and over time. However, given the dynamic history of ecosystem changes in response to climate change and geological events, the manifold long-distance dispersals over evolutionary timescales, and regional and global extinctions, it remains uncertain how reliable inferences based solely on extant taxa can be achieved. Using a novel species-level phylogeny of all known extant and extinct species of the mammalian order Carnivora and related extinct groups, we show that far more precise and accurate ancestral areas can be estimated by fully integrating extinct species into the analyses, rather than solely relying on extant species or identifying ancestral areas only based on the geography of the oldest fossils. Through a series of simulations, we further show that this conclusion is robust under realistic scenarios in which the unknown extinct taxa represent a biased subset of all extinct species. Our results highlight the importance of integrating fossil taxa into a phylogenetic framework to further improve our understanding of historical biogeography and reveal the dynamic dispersal and diversification history of carnivores.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rspb.2024.0473

Authors

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Role:
Author
ORCID:
0000-0002-2974-2628
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Role:
Author
ORCID:
0000-0003-0100-0961
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Role:
Author
ORCID:
0000-0002-9586-4017
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-1842-9297


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Funder identifier:
https://ror.org/03zttf063
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Funder identifier:
https://ror.org/00ynnr806
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Funder identifier:
https://ror.org/00yjd3n13


Publisher:
The Royal Society
Journal:
Proceedings of the Royal Society B: Biological Sciences More from this journal
Volume:
291
Issue:
2028
Article number:
20240473
Publication date:
2024-08-07
Acceptance date:
2024-05-21
DOI:
EISSN:
1471-2954
ISSN:
0962-8452


Language:
English
Keywords:
Pubs id:
2083948
Local pid:
pubs:2083948
Source identifiers:
2167973
Deposit date:
2024-08-07
ARK identifier:
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