ArticleProceedings. Biological sciences2021
Deep-time biodiversity patterns and the dinosaurian fossil record of the Late Cretaceous Western Interior, North America.
Article in Proceedings. Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- New frontiers in dinosaur exploration.Biology letters · 2025Review
- Article
- The spatiotemporal distribution of Mesozoic dinosaur diversity.Biology letters · 2024Review
- The macroecology of Mesozoic dinosaurs.Biology letters · 2024Review
- Tectonic extension and paleoelevation influence mammalian diversity dynamics in the Basin and Range Province of western North America.Science advances · 2024Article
- Article
- Calibrating the zenith of dinosaur diversity in the Campanian of the Western Interior Basin by CA-ID-TIMS U-Pb geochronology.Scientific reports · 2022Article
- Global ecomorphological restructuring of dominant marine reptiles prior to the Cretaceous-Palaeogene mass extinction.Proceedings. Biological sciences · 2022Article
- Deep-time biodiversity patterns and the dinosaurian fossil record of the Late Cretaceous Western Interior, North America.Proceedings. Biological sciences · 2021Article
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Authors and funding
4 authors.
Funding
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Abstract
In order for palaeontological data to be informative to ecologists seeking to understand the causes of today's diversity patterns, palaeontologists must demonstrate that actual biodiversity patterns are preserved in our reconstructions of past ecosystems. During the Late Cretaceous, North America was divided into two landmasses, Laramidia and Appalachia. Previous work has suggested strong faunal provinciality on Laramidia at this time, but these arguments are almost entirely qualitative. We quantitatively investigated faunal provinciality in ceratopsid and hadrosaurid dinosaurs using a biogeographic network approach and investigated sampling biases by examining correlations between dinosaur occurrences and collections. We carried out a model-fitting approach using generalized least-squares regression to investigate the sources of sampling bias we identified. We find that while the raw data strongly support faunal provinciality, this result is driven by sampling bias. The data quality of ceratopsids and hadrosaurids is currently too poor to enable fair tests of provincialism, even in this intensively sampled region, which probably represents the best-known Late Cretaceous terrestrial ecosystem on Earth. To accurately reconstruct biodiversity patterns in deep time, future work should focus on smaller scale, higher resolution case studies in which the effects of sampling bias can be better controlled.
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