Evidence map›Paper›PMID 40500374›Full record

ArticleNature ecology & evolution2025

Landscape-explicit phylogeography illuminates the ecographic radiation of early archosauromorph reptiles.

Joseph T Flannery-Sutherland, Armin Elsler, Alexander Farnsworth, Daniel J Lunt, Michael J Benton

Abstract read
In one paragraph

Article in Nature ecology & evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Joseph T Flannery-SutherlandSchool of Geography, Earth and Environmental Science, University of Birmingham, Birmingham, UK. j.t.flannerysutherland@bham.ac.uk.ORCID http://orcid.org/0000-0001-8232-6773
Armin ElslerSchool of Earth Sciences, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0001-8673-9591
Alexander FarnsworthSchool of Geographical Sciences and Cabot Institute, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0001-5585-5338
Daniel J LuntSchool of Geographical Sciences and Cabot Institute, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0003-3585-6928
Michael J BentonSchool of Earth Sciences, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-4323-1824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial incompleteness in the fossil record severely diminishes the observed ecological and geographic ranges of clades. The biological processes shaping species distributions and richness through time, however, also operate across geographic space and so clade biogeographic histories can indicate where their lineages must have successfully dispersed through these sampling gaps. Consequently, these histories are powerful, yet untapped tools for quantifying their unobserved ecographic diversity. Here, we couple phylogeographic modelling with a landscape connectivity approach to reconstruct the origins and dispersal of Permian-Triassic archosauromorph reptiles. We recover substantial ecographic diversity from the gaps in their fossil record, illuminating the cryptic first 20 million years of their evolutionary history, a peak in climatic disparity in the earliest Triassic period, and dispersals through the Pangaean tropical dead zone which contradict its perception as a hard barrier to vertebrate movement. This remarkable tolerance of climatic adversity was probably integral to their later evolutionary success.

Indexed as

Animal DistributionBiological EvolutionReptilesAnimalsBiodiversityClimateFossilsPhylogeography

Identifiers

PMID40500374
PMCPMC12240803

What OpenQuestion holds

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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.