Evidence map›Paper›PMID 36407904›Full record

ArticleEcology and evolution2022

Functional traits and phylogeny explain snake distribution in the world's largest dry forest ecoregion, the Gran Chaco.

Hugo Cabral, Thaís B Guedes, Diego J Santana

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. 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

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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. Article
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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

3 authors.

Hugo CabralPrograma de Pós-Graduação em Biologia Animal Universidade Estadual Paulista São José do Rio Preto Brazil.ORCID https://orcid.org/0000-0002-0320-9411
Thaís B GuedesDepartamento de Biologia Animal, Instituto de Biologia Universidade Estadual de Campinas Campinas Brazil.ORCID https://orcid.org/0000-0003-3318-7193
Diego J SantanaMapinguari - Laboratório de Biogeografia e Sistemática de Anfíbios e Répteis, Instituto de Biociências Universidade Federal de Mato Grosso do Sul Campo Grande Brazil.ORCID https://orcid.org/0000-0002-8789-3061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macroecological studies describe large-scale diversity patterns through analyses of species distribution patterns and allows us to elucidate how species differing in ecology, physical requirements, and life histories are distributed in a multidimensional space. These patterns of distributions can be explained by vegetation, and climatic factors, and are determined by historical and current factors. The continuous accumulation of information on the distribution patterns of species is essential to understand the history and evolution of the biota. In this study, we aimed to identify functional and evolutionary drivers that explain the geographic patterns of vertical stratification. We compiled morphological, ecological, and distribution data of 140 species of Chacoan snakes and constructed null models to map their geographic pattern. We used a range of environmental variables to assess which drivers are influencing these biogeographic patterns. Lastly, we used evolutionary data to build the first map of the phylogenetic regions of Chacoan snakes. We found a latitudinal pattern, with a marked verticality in the snake assemblies in the Chaco. Verticality and long-tailed species richness increased in areas with high stratified habitats and stable temperature. Fossoriality is driven mainly by soil conditions, especially soils with fewer sand particles and less stratified habitat. Phylogenetic regions in the Chaco showed a marked latitudinal pattern, like that observed in the geographic pattern of verticality. The distribution pattern of Chacoan snakes also reflects their evolutionary history, with a marked phylogenetic regionalization.

Indexed as

climateecologyhabitat heterogeneitymacroecologymorphologyphylogenetic regionsoil conditionsspecies traits

Identifiers

PMID36407904
PMCPMC9666913

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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.