Evidence map›Paper›PMID 33391800›Full record

ArticleRoyal Society open science2020

Dinosaur diversification rates were not in decline prior to the K-Pg boundary.

Joseph A Bonsor, Paul M Barrett, Thomas J Raven, Natalie Cooper

Abstract read
In one paragraph

Article in Royal Society open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Low dinosaur biodiversity in central China 2 million years prior to the end-Cretaceous mass extinction.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Joseph A BonsorDepartment of Earth Sciences, Natural History Museum, Cromwell Road, London SW7 5BD, UK.ORCID 0000-0002-8829-2778
Paul M BarrettDepartment of Earth Sciences, Natural History Museum, Cromwell Road, London SW7 5BD, UK.ORCID 0000-0003-0412-3000
Thomas J RavenDepartment of Earth Sciences, Natural History Museum, Cromwell Road, London SW7 5BD, UK.ORCID 0000-0002-4349-5635
Natalie CooperDepartment of Life Sciences, Natural History Museum, Cromwell Road, London SW7 5BD, UK.ORCID 0000-0003-4919-8655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining the tempo and mode of non-avian dinosaur extinction is one of the most contentious issues in palaeobiology. Extensive disagreements remain over whether their extinction was catastrophic and geologically instantaneous or the culmination of long-term evolutionary trends. These conflicts have arisen due to numerous hierarchical sampling biases in the fossil record and differences in analytical methodology, with some studies identifying long-term declines in dinosaur richness prior to the Cretaceous-Palaeogene (K-Pg) boundary and others proposing continued diversification. Here, we use Bayesian phylogenetic generalized linear mixed models to assess the fit of 12 dinosaur phylogenies to three speciation models (null, slowdown to asymptote, downturn). We do not find strong support for the downturn model in our analyses, which suggests that dinosaur speciation rates were not in terminal decline prior to the K-Pg boundary and that the clade was still capable of generating new taxa. Nevertheless, we advocate caution in interpreting the results of such models, as they may not accurately reflect the complexities of the underlying data. Indeed, current phylogenetic methods may not provide the best test for hypotheses of dinosaur extinction; the collection of more dinosaur occurrence data will be essential to test these ideas further.

Indexed as

BayesianDinosauriadiversification ratesGLMMsK-Pg boundaryphylogeny

Identifiers

PMID33391800
PMCPMC7735361

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.