Evidence map›Paper›PMID 40138424›Full record

ArticleScience advances2025

Physiology and climate change explain unusually high similarity across marine communities after end-Permian mass extinction.

Jood A Al Aswad, Justin L Penn, Pedro M Monarrez, Mohamad Bazzi, Curtis Deutsch, Jonathan L Payne

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Jood A Al AswadDepartment of Earth and Planetary Sciences, Stanford University, 450 Jane Stanford Way, Stanford, CA 94305, USA.ORCID 0000-0003-4360-7665
Justin L PennDepartment of Geosciences, Princeton University, Guyot Hall, Princeton, NJ 08544, USA.
Pedro M MonarrezDepartment of Earth and Planetary Sciences, Stanford University, 450 Jane Stanford Way, Stanford, CA 94305, USA.ORCID 0000-0002-4221-0693
Mohamad BazziDepartment of Earth and Planetary Sciences, Stanford University, 450 Jane Stanford Way, Stanford, CA 94305, USA.ORCID 0000-0002-9495-0781
Curtis DeutschDepartment of Geosciences, Princeton University, Guyot Hall, Princeton, NJ 08544, USA.ORCID 0000-0003-3923-0797
Jonathan L PayneDepartment of Earth and Planetary Sciences, Stanford University, 450 Jane Stanford Way, Stanford, CA 94305, USA.ORCID 0000-0002-9601-3310

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fossil assemblages exhibit a global depletion in taxonomic distinctiveness in the aftermath of the end-Permian mass extinction (~252 million years ago), but little is known about why. Here, we examine whether biotic homogenization can be explained by tropical survivors tracking an expansion of their preferred habitat, measured in terms of the ratio of environmental oxygen supply to metabolic demand. We compare spatial similarity in community composition among marine invertebrate fossils represented by bivalve and gastropod fossils with predictions from an ecophysiological model of habitat that diagnoses areas in the ocean that can sustain the aerobic requirements of marine invertebrates. Modeled biogeographic responses to climate change yield an increase in global similarity of community composition among surviving ecophysiotypes, consistent with patterns in the fossil record and arguing for a physiological control on earliest Triassic biogeography.

Indexed as

Aquatic OrganismsClimate ChangeExtinction, BiologicalFossilsAnimalsBivalviaEcosystemGastropoda

Identifiers

PMID40138424
PMCPMC11939053

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.