JOURNAL ARTICLE
Rethinking dinosaur origins: oldest known equatorial dinosaur-bearing assemblage (mid-late Carnian Popo Agie FM, Wyoming, USA).
Published In: Zoological Journal of the Linnean Society, 2025, v. 203, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Lovelace, David M; Kufner, Aaron M; Fitch, Adam J; Rogers, Kristina Curry; Schmitz, Mark; Schwartz, Darin M; LeClair-Diaz, Amanda; St.Clair, Lynette; Mann, Joshua; Teran, Reba 3 of 3
Abstract
This article focuses on the discovery and analysis of *Ahvaytum bahndooiveche* gen. et sp. nov., the oldest known Laurasian (northern hemisphere) dinosaur from the mid–late Carnian (approximately 230 million years ago) Popo Agie Formation in Wyoming, USA. High-precision radioisotopic dating and phylogenetic analyses place *Ahvaytum bahndooiveche* as an early-diverging saurischian, likely a sauropodomorph, contemporaneous with the oldest Gondwanan dinosaurs, challenging previous hypotheses that dinosaur dispersal from Gondwana to Laurasia was delayed by environmental barriers. Additionally, the presence of a silesaurid (a close dinosaur relative) in the same deposits and new tridactyl dinosaur trace fossils from the region support a more cosmopolitan distribution of early dinosauromorphs across Pangaea during the Carnian, rather than a geographically restricted origin. These findings underscore the importance of integrating body-fossil and ichnological records and highlight how sampling biases and stratigraphic gaps have influenced interpretations of early dinosaur evolution and biogeography.
Additional Information
- Source:Zoological Journal of the Linnean Society. 2025/01, Vol. 203, Issue 1, p1
- Document Type:Article
- Subject Area:Zoology
- Publication Date:2025
- ISSN:0024-4082
- DOI:10.1093/zoolinnean/zlae153
- Accession Number:182905555
- Copyright Statement:Copyright of Zoological Journal of the Linnean Society is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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