Dynamic biogeographic models and dinosaur origins

Lee, Michael S. Y. and Baron, Matthew G. and Norman, David B. and Barrett, Paul M. (2019) Dynamic biogeographic models and dinosaur origins. Earth and Environmental Science Transactions of the Royal Society of Edinburgh, 109 (1-2). pp. 325-332. ISSN 1755-6910 DOI https://doi.org/10.1017/S1755691018000920

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Official URL: https://doi.org/10.1017/S1755691018000920

Abstract

A comprehensive analysis of early dinosaur relationships raised the possibility thatthe group may have originated in Laurasia (Northern Hemisphere), rather than Gondwana(Southern Hemisphere) as often thought. However, that study focused solely on morphologyand phylogenetic relationships and did not quantitatively evaluate this issue. Here, we investigatedinosaur origins using a novel Bayesian framework uniting tip-dated phylogenetics with dynamic,time-sliced biogeographic methods, which explicitly account for the age and locality of fossilsand the changing interconnections of areas through time due to tectonic and eustatic change. Ouranalysis finds strong support for a Gondwanan origin of Dinosauria, with 99 % probability for South America (83 % for southern South America). Parsimony analysis gives concordant results.Inclusion of time-sliced biogeographic information affects ancestral state reconstructions (e.g.,high connectivity between two regions increases uncertainty over which is the ancestral area) andinfluences tree topology (disfavouring uniting fossil taxa from localities that were widely separatedduring the relevant time slice). Our approach directly integrates plate tectonics with phylogeneticsand divergence dating, and in doing so reaffirms southern South America as the most likely areafor the geographic origin of Dinosauria.

Item Type: Article
Uncontrolled Keywords: 2018AREP; IA75
Subjects: 04 - Palaeobiology
Divisions: 04 - Palaeobiology
12 - PhD
Journal or Publication Title: Earth and Environmental Science Transactions of the Royal Society of Edinburgh
Volume: 109
Page Range: pp. 325-332
Identification Number: https://doi.org/10.1017/S1755691018000920
Depositing User: Sarah Humbert
Date Deposited: 23 May 2019 16:44
Last Modified: 23 May 2019 16:44
URI: http://eprints.esc.cam.ac.uk/id/eprint/4499

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