Evidence map›Paper›PMID 28110450›Full record

ArticleEnvironmental monitoring and assessment2017

Application of a statistical model for the assessment of environmental quality in neotropical semi-arid reservoirs.

Evaldo de Lira Azevêdo, José Etham de Lucena Barbosa, Leandro Gomes Viana, Maria José Pinheiro Anacleto, Marcos Callisto, Joseline Molozzi

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2017. 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
8.2field-weighted citation impact, top 2% of its field
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, 43 citations in OpenAlex.

  1. Article
  2. Evaluating macroinvertebrate metrics for ecological assessment of large saline rivers (Argentina).Environmental science and pollution research international · 2021
    Article
  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

6 authors at 2 institutions in 1 country.

Evaldo de Lira AzevêdoCentro de Ciências Biológicas, Programa de Pós-Graduação em Ecologia e Conservação, Departamento de Biologia, Laboratórios de Ecologia Aquática e Laboratório de Ecologia de Bentos, Universidade Estadual da Paraíba, Rua das Baraúnas, Campina Grande, PB, 58429-500, Brazil. evaldoazevedo@yahoo.com.br.
José Etham de Lucena BarbosaCentro de Ciências Biológicas, Programa de Pós-Graduação em Ecologia e Conservação, Departamento de Biologia, Laboratórios de Ecologia Aquática e Laboratório de Ecologia de Bentos, Universidade Estadual da Paraíba, Rua das Baraúnas, Campina Grande, PB, 58429-500, Brazil.
Leandro Gomes VianaCentro de Ciências Biológicas, Programa de Pós-Graduação em Ecologia e Conservação, Departamento de Biologia, Laboratórios de Ecologia Aquática e Laboratório de Ecologia de Bentos, Universidade Estadual da Paraíba, Rua das Baraúnas, Campina Grande, PB, 58429-500, Brazil.
Maria José Pinheiro AnacletoCentro de Ciências Biológicas, Programa de Pós-Graduação em Ecologia e Conservação, Departamento de Biologia, Laboratórios de Ecologia Aquática e Laboratório de Ecologia de Bentos, Universidade Estadual da Paraíba, Rua das Baraúnas, Campina Grande, PB, 58429-500, Brazil.
Marcos CallistoInstituto de Ciências Biológicas, Departamento de Biologia Geral, Laboratório de Ecologia de Bentos, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, CP. 486, Belo Horizonte, MG, 31270-901, Brazil.
Joseline MolozziCentro de Ciências Biológicas, Programa de Pós-Graduação em Ecologia e Conservação, Departamento de Biologia, Laboratórios de Ecologia Aquática e Laboratório de Ecologia de Bentos, Universidade Estadual da Paraíba, Rua das Baraúnas, Campina Grande, PB, 58429-500, Brazil.
Universidade Estadual da Paraíba · BRUniversidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to develop a statistical model to assess the environmental quality of reservoirs located in semi-arid region using metrics of anthropogenic disturbance, water quality variables, and benthic macroinvertebrate communities as indicators. The proposed model was applied to 60 sites located in three reservoirs in the Paraíba river basin, Brazilian semi-arid region. Collections were made in December 2011. In each site, we collected one sample of benthic macroinvertebrates and one water sample for the determination of physical and chemical parameters. Characterization of the landscape was made through application of 10 physical habitat protocols on each site for the collected information on disturbance and subsequent calculation of disturbance metrics. The results showed the formation of two groups: group 1, consisting of 16 minimally altered sites, and group 2, with 44 severely altered sites. The proposed statistical model was sensitive enough to detect changes. In the minimally altered group, the Chironomids Aedokritus and Fissimentum were dominant, indicating a higher environmental quality, while Coelotanypus and Chironomus were abundant in severely altered sites with lower environmental quality. The conservation and management of reservoirs in semi-arid regions should be intensified in view of the need to maintain the environmental quality of these ecosystems.

Indexed as

Models, StatisticalWater QualityAnimalsBrazilChironomidaeEcosystemEnvironmental MonitoringRiversBenthic macroinvertebratesBioindicatorsDisturbanceMonitoring

Identifiers

PMID28110450
OpenAlexW2577039097

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.