Evidence map›Paper›PMID 33686602›Full record

ArticleEnvironmental science and pollution research international2021

Effects of urbanisation and a wastewater treatment plant on microplastic densities along a subtropical river system.

Tatenda Dalu, Thabiso Banda, Thendo Mutshekwa, Linton F Munyai, Ross N Cuthbert

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

5 authors.

Tatenda DaluAquatic Systems Research Group, School of Biology and Environmental Sciences, University of Mpumalanga, Nelspruit, 1200, South Africa. dalutatenda@yahoo.co.uk.
Thabiso BandaAquatic Systems Research Group, Department of Ecology and Resource Management, University of Venda, Thohoyandou, 0950, South Africa.
Thendo MutshekwaAquatic Systems Research Group, Department of Ecology and Resource Management, University of Venda, Thohoyandou, 0950, South Africa.
Linton F MunyaiAquatic Systems Research Group, Department of Ecology and Resource Management, University of Venda, Thohoyandou, 0950, South Africa.
Ross N CuthbertGEOMAR, Helmholtz-Zentrum für Ozeanforschung Kiel, 24105, Kiel, Germany. rossnoelcuthbert@gmail.com.

Funding

University of Venda Niche Grant SES/18/ERM/10
6 · The paper itself

Abstract

Global freshwaters are increasingly threatened by pollutants emanating from human activities around watersheds. Microplastic pollution is an increasing problem for rivers worldwide, potentially threatening ecological integrity, ecosystem services and human health. We present quantifications and characterisations of sediment microplastic pollution in a subtropical river system in southern Africa, and relate distributions to wastewater treatment works, abiotic variables and urban environments. We additionally apply several diversity indices to decipher how microplastic types differ across the river system seasonally. Over two thousand microplastic particles were found across five sites and three seasons in the river system, comprising microbeads of various colours and microfibres. Microplastic concentrations were highest and most diverse in the hot-wet (mean range 76.0 ± 10.0-285.5 ± 44.5 microplastic kg

Indexed as

Water Pollutants, ChemicalWater PurificationEcosystemEnvironmental MonitoringHumansMicroplasticsPlasticsRiversUrbanizationMicroplasticsPlasticsWater Pollutants, ChemicalAquatic environmentFibresFreshwater ecosystemMicrobeadsPlastic pollutionSewage treatment

Identifiers

PMID33686602
PMCPMC8277625

What OpenQuestion holds

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LicenceCC BY
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.