Evidence map›Paper›PMID 42869481›Full record

ArticleProceedings. Biological sciences2026

Phased ecological assembly of Triassic marine reptile faunas following the Permian-Triassic mass extinction: ecospace dynamics in South China.

Mingtao Yao, Yinuo Wang, Zhaoliang Ma, Jiandong Huang, Zuoyu Sun

Abstract read
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Article in Proceedings. Biological sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mingtao YaoDepartment of Geology and Geological Museum, Peking University , Beijing, People's Republic of China.ORCID 0000-0002-0100-3444
Yinuo WangDepartment of Geology and Geological Museum, Peking University , Beijing, People's Republic of China.
Zhaoliang MaObservation and Research Station of Stratigraphy, Paleontology and Environmental Geology in Chaohu, Ministry of Natural Resources , Hefei, People's Republic of China.
Jiandong HuangObservation and Research Station of Stratigraphy, Paleontology and Environmental Geology in Chaohu, Ministry of Natural Resources , Hefei, People's Republic of China.
Zuoyu SunDepartment of Geology and Geological Museum, Peking University , Beijing, People's Republic of China.

Funding

Department of Natural Resources of Anhui Province 2025-g-19Department of Natural Resources of Anhui Province 2025-k-9National Natural Science Foundation of China 41920104001National Natural Science Foundation of China 42172009National Natural Science Foundation of China 424B2015Natural Science Foundation of Anhui Province 2008085MD110
6 · The paper itself

Abstract

The Permian-Triassic mass extinction triggered a fundamental reorganization of marine ecosystems, yet the community-level functional dynamics of early marine reptile radiations remain understudied. Here we quantify ecospace dynamics of Triassic marine reptile faunas across an approximately 20-million-year sequence in South China, integrating 10 functional traits of fossil taxa and modern ecological analogues. We identify five ecotypes defined by habitat use, foraging modes and trophic strategy. Statistical analyses reveal cumulative and incremental faunal assembly in South China in three phases: Early Triassic niche conservatism with high functional redundancy; Middle Triassic ecological radiation with expanded disparity and reduced redundancy; and late Middle to Late Triassic ecological transition and ecosystem maturation, culminating in pelagic specialization and megafaunal predation. Environmental amelioration from the late Early Triassic was associated with ecological radiation, while sea-level fluctuations may have contributed to the nearshore-to-offshore transition. Comparison with other Triassic records reveals spatial heterogeneity and temporal asynchrony in ecological assembly: marine reptiles did not occupy roles analogous to those of modern cetaceans in South China until the Ladinian, whereas comparable roles had likely appeared earlier elsewhere. This succession thus records one of several regionally distinct pathways along which marine reptiles acted as ecological innovators during post-extinction recovery.

Indexed as

Biological EvolutionEcosystemExtinction, BiologicalReptilesAnimalsChinaFossilsecospace dynamicsecosystem recoveryP-Tr mass extinctionSouth ChinaTriassic marine reptiles

Identifiers

PMID42869481
PMCPMC13678723

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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.