Evidence map›Paper›PMID 41856991›Full record

ArticleNature communications2026

Endemism and regionalization patterns of squamate reptiles in Amazonia.

Marco Antônio Ribeiro-Júnior, Josué Anderson Rêgo Azevedo, Cristiano de Campos Nogueira, Silvana Amaral

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

4 authors.

Marco Antônio Ribeiro-JúniorThe Steinhardt Museum of Natural History, Tel Aviv University, Tel Aviv, Israel. majunior@gmail.com.ORCID http://orcid.org/0000-0002-0863-6121
Josué Anderson Rêgo AzevedoPrograma de Pós-Graduação em Zoologia, Universidade Federal do Amazonas, Manaus, Brazil.ORCID http://orcid.org/0000-0001-7394-2670
Cristiano de Campos NogueiraPrograma de Pós-Graduação em Ecologia, Universidade Federal de Santa Catarina, Florianópolis, Brazil.
Silvana AmaralEarth Observation and Geoinformatics Division, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, Brazil.ORCID http://orcid.org/0000-0003-4314-7291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world is keeping a close eye on Amazonia, due to its importance as a centre of biodiversity and its essential role in regulating global climate. To ensure the provision of climatic services, landscape and species diversity need protection. However, little is known about Amazonian megadiversity patterns. This lack of information is more acute for squamate reptiles (lizards, snakes, and amphisbaenians). Here we propose a regionalisation and endemism scheme for Amazonian squamate reptiles, based on a taxonomically verified checklist. We recognise 14 areas of endemism and 22 bioregions, determined by range restricted species and exhibiting high spatial heterogeneity. This contrasts species richness patterns, which are apparently defined by spatial homogeneity, without a marked gradient. While there is little support for the river barrier hypothesis in defining the areas of endemism, rivers, together with vegetation, geology, relief, and climatic variables, collectively explain spatial patterns of species composition. Our findings suggest that conservation efforts should include the borders of Amazonia, and create a connected network of conservation areas to protect endemism hotspots harbouring rare and threatened species and to function as a buffer against the expansion of habitat destruction to deeper parts of Amazonia.

Indexed as

BiodiversityLizardsReptilesSnakesAnimalsBrazilConservation of Natural ResourcesEcosystemRivers

Identifiers

PMID41856991
PMCPMC13168576

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.