Evidence map›Paper›PMID 31656998›Full record

ArticleEnvironmental monitoring and assessment2019

Water quality assessment of a neotropical pampean lowland stream using a phytoplankton functional trait approach.

Diego Frau, Jonathan Medrano, Claudia Calvi, Adonis Giorgi

Abstract read
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Article in Environmental monitoring and assessment, 2019. 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.

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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

4 authors.

Diego FrauLaboratorio de Plancton, Instituto Nacional de Limnología (CONICET-UNL), Ciudad Universitaria Paraje El Pozo S/N, Santa Fe, Argentina. diegofrau@gmail.com.ORCID http://orcid.org/0000-0002-7000-8863
Jonathan MedranoFacultad de Ciencias y Tecnología, Universidad Autónoma de Entre Ríos, Ruta Provincial No. 11. Km 10.5, Oro Verde, Argentina.
Claudia CalviFacultad de Humanidades y Ciencias, Universidad Nacional del Litoral, Ciudad Universitaria Paraje El Pozo S/N, Santa Fe, Argentina.
Adonis GiorgiDepartamento de Ciencias Básicas (INEDES, UNLu-CONICET), Universidad Nacional de Luján, Luján, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to test whether the water quality phytoplankton assemblage index adapted for rivers (Qr index) is useful to characterize the water quality of a neotropical stream. We were interested also in inferring the main pollutants through a phytoplankton functional trait characterization and assessing the phytoplankton groups which may influence the Qr index final estimations. Monthly sampling of environmental variables and phytoplankton were done in three sites (S1, S2, and S3). Phytoplankton was classified according to Reynolds Functional Groups (RFG) and water quality estimation was performed using the Qr index. Principal coordinates (PCO) and PERMANOVA were applied to identify the main pollutants through the RFG. RFG linkage to Qr values was assessed by general linear models (GLM). "Moderate" water quality was found in S1 the whole year, in all sampling stations during the winter, and in summer-autumn in S2. "Regular" water quality was found in S3 during the summer-autumn, and S2-S3 during the spring. S1 and S2 showed eutrophic, standing, or mix waters whereas S3 had high organic matter content and eutrophic conditions. Despite some RFG (X

Indexed as

ChinaEnvironmental MonitoringEutrophicationPhytoplanktonRiversSeasonsWater QualityEcological indicatorsLotic systemsQr indexReynolds functional groups

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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.