Evidence map›Paper›PMID 32453798›Full record

ArticlePloS one2020

Stream fish metacommunity organisation across a Neotropical ecoregion: The role of environment, anthropogenic impact and dispersal-based processes.

Pedro Paulino Borges, Murilo Sversut Dias, Fernando Rogério Carvalho, Lilian Casatti, Paulo Santos Pompeu, Mauricio Cetra, Francisco Leonardo Tejerina-Garro, Yzel Rondon Súarez, João Carlos Nabout, Fabrício Barreto Teresa

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Microbial Community Succession Sustains Fish Diversity in the Upper Yangtze River Reserve.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  3. Article
  4. 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

10 authors.

Pedro Paulino BorgesLaboratório de Biogeografia e Ecologia Aquática (Bioecol), Universidade Estadual de Goiás, Anápolis, Goiás, Brazil.ORCID 0000-0003-2173-4276
Murilo Sversut DiasDepartamento de Ecologia, Universidade de Brasília, Distrito Federal, Brasília, Brazil.
Fernando Rogério CarvalhoLaboratório de Ictiologia, Setor de Zoologia, Instituto de Biociências, Universidade Federal de Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.
Lilian CasattiDepartamento de Zoologia e Botânica, UNESP, São José do Rio Preto, São Paulo, Brazil.
Paulo Santos PompeuLaboratório de Ecologia e Conservação de Peixes, Universidade Federal de Lavras, Lavras, Minas Gerais, Brazil.
Mauricio CetraDepartamento de Ciências Ambientais (DCA), Universidade Federal de São Carlos, São Paulo, Brazil.
Francisco Leonardo Tejerina-GarroCentro de Biologia Aquática, Pontifícia Universidade Católica de Goiás, Goiânia, Goiás, Brazil.
Yzel Rondon SúarezCentro Integrado de Análise e Monitoramento Ambiental (CInAM), Universidade Estadual do Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.
João Carlos NaboutLaboratório de Biogeografia e Ecologia Aquática (Bioecol), Universidade Estadual de Goiás, Anápolis, Goiás, Brazil.
Fabrício Barreto TeresaLaboratório de Biogeografia e Ecologia Aquática (Bioecol), Universidade Estadual de Goiás, Anápolis, Goiás, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how assemblages are structured in space and the factors promoting their distributions is one of the main goals in Ecology, however, studies regarding the distribution of organisms at larger scales remain biased towards terrestrial groups. We attempt to understand if the structure of stream fish metacommunities across a Neotropical ecoregion (Upper Paraná-drainage area of 820,000 km2) are affected by environmental variables, describing natural environmental gradient, anthropogenic impacts and spatial predictors. For this, we obtained 586 sampling points of fish assemblages in the ecoregion and data on environmental and spatial predictors that potentially affect fish assemblages. We calculated the local beta diversity (Local Contribution to Beta Diversity, LCBD) and alpha diversity from the species list, to be used as response variables in the partial regression models, while the anthropogenic impacts, environmental gradient and spatial factors were used as predictors. We found a high total beta diversity for the ecoregion (0.41) where the greatest values for each site sampled were located at the edges of the ecoregion, while richer communities were found more centrally. All sets of predictors explained the LCBD and alpha diversity, but the most important was dispersal variables, followed by the natural environmental gradient and anthropogenic impact. However, we found an increase in the models' prediction power through the shared effect. Results suggest that environmental filters (i.e. environmental variables such as climate, hydrology and anthropogenic impact) and dispersal limitation together shape fish assemblages of the Upper Paraná ecoregion, showing the importance of using multiple sets of predictors to understand the processes structuring biodiversity distribution.

Indexed as

BiodiversityModels, BiologicalRiversAnimalsBrazilFishes

Identifiers

PMID32453798
PMCPMC7250414

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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.