Evidence map›Paper›PMID 36518285›Full record

ArticlePeerJ2022

Effects of PAHs on meiofauna from three estuaries with different levels of urbanization in the South Atlantic.

Renan B da Silva, Giovanni A P Dos Santos, Ana Luiza L de Farias, Débora A A França, Raianne Amorim Cavalcante, Eliete Zanardi-Lamardo, Jose Roberto Botelho de Souza, Andre M Esteves

Abstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Renan B da Silva *Campus Recife, Center for Biosciences, Department of Zoology, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
Giovanni A P Dos Santos *Campus Recife, Center for Biosciences, Department of Zoology, Federal University of Pernambuco, Recife, Pernambuco, Brazil.ORCID 0000-0003-4761-7182
Ana Luiza L de FariasCampus Recife, Center for Biosciences, Department of Zoology, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
Débora A A FrançaCampus Recife, Center for Biosciences, Department of Zoology, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
Raianne Amorim CavalcanteCampus Recife, Center for Biosciences, Department of Zoology, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
Eliete Zanardi-LamardoCampus Recife, Technology and Geoscience Center, Department of Oceanography, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
Jose Roberto Botelho de SouzaCampus Recife, Center for Biosciences, Department of Zoology, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
Andre M EstevesCampus Recife, Center for Biosciences, Department of Zoology, Federal University of Pernambuco, Recife, Pernambuco, Brazil.ORCID 0000-0003-0921-2731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estuarine environments are suggested to be the final receivers of human pollution and are impacted by surrounding urbanization and compounds carried by the river waters that flow from the continent. Polycyclic aromatic hydrocarbons (PAHs) are among the contaminants that can reach estuaries and can directly affect marine conservation, being considered highly deleterious to organisms living in these environments. This research investigated the meiofauna of three estuaries exposed to different levels of urbanization and consequently different levels of PAH concentrations, in order to assess how these compounds and environmental factors affect the distribution, structure and diversity of these interstitial invertebrates. A total of 15 major meiofauna groups were identified, with Nematoda being the dominant taxon (74.64%), followed by Copepoda (9.55%) and Polychaeta (8.56%). It was possible to observe significant differences in all diversity indices studied in the estuaries. With the exception of average density, the diversity indices (richness, Shannon index and evenness) were higher in the reference estuary, Goiana estuarine system (GES). On the other hand, the Timbó estuarine system (TES) had the lowest Shannon index value and richness, while the Capibaribe estuarine system (CES) had the lowest evenness value. The latter two estuaries (TES and CES) presented intermediate and high levels of urbanization, respectively. The ecological quality assessment (EcoQ) in the studied estuaries was classified from Poor to Moderate and the estuary with the lowest demographic density in its surroundings, GES, showed a better ecological quality (Moderate EcoQ). A significant distance-based multivariate linear modelling regression (DistLM) was observed between the environmental variables and the density of the meiobenthic community, where PAHs and pH were the main contributors to organism variation. The sediments were characterized by predominance of very fine sand and silt-clay in the most polluted environments, while the control site environment (GES) was dominated by medium grains. The highest concentrations of PAHs were found in the most urbanized estuaries, and directly affected the structure of the interstitial benthic community. The metrics used in the present study proved to be adequate for assessing the environmental quality of the investigated estuaries.

Indexed as

Polycyclic Aromatic HydrocarbonsWater Pollutants, ChemicalAnimalsEnvironmental MonitoringEstuariesGeologic SedimentsHumansRiversUrbanizationPolycyclic Aromatic HydrocarbonsWater Pollutants, ChemicalEcological quality statusEcoQPollutionSediment qualityTropical estuary

Identifiers

PMID36518285
PMCPMC9744168

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.