Evidence map›Paper›PMID 31788221›Full record

ArticleEcology and evolution2019

Developing and applying a macroinvertebrate-based multimetric index for urban rivers in the Niger Delta, Nigeria.

Augustine O Edegbene, Francis O Arimoro, Oghenekaro N Odume

Abstract read
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Augustine O EdegbeneUnilever Centre for Environmental Water Quality Institute for Water Research Rhodes University Grahamstown South Africa.ORCID https://orcid.org/0000-0003-4032-3923
Francis O ArimoroDepartment of Animal Biology (Applied Hydrobiology Unit) Federal University of Technology Minna Nigeria.
Oghenekaro N OdumeUnilever Centre for Environmental Water Quality Institute for Water Research Rhodes University Grahamstown South Africa.ORCID https://orcid.org/0000-0001-5220-3254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban pollution of riverine ecosystem is a serious concern in the Niger Delta region of Nigeria. No biomonitoring tool exists for the routine monitoring of effects of urban pollution on riverine systems within the region. Therefore, the aim of this study was to develop and apply a macroinvertebrate-based multimetric index for assessing water quality condition of impacted urban river systems in the Niger Delta region of Nigeria. Macroinvertebrate and physicochemical samples were collected from 11 stations in eight river systems. Based on the physicochemical variables, the stations were categorized into three impact categories namely least impacted stations (LIS), moderately impacted stations (MIS) and heavily impacted stations (HIS). Seventy-seven (77) candidate metrics were tested and only five: Hemiptera abundance, %Coleoptera + Hemiptera, %Chironomidae + Oligochaeta, Evenness index and Logarithm of relative abundance of very large body size (>40-80 mm) were retained and integrated into the final Niger Delta urban multimetric index (MINDU). The validation dataset showed a correspondence of 83.3% between the index result and the physicochemically-based classification for the LIS and a 75% correspondence for the MIS. A performance of 22.2% was recorded for the HIS. The newly developed MINDU proved useful as a biomonitoring tool in the Niger Delta region of Nigeria and can thus be used by environmental managers and government officials for routine monitoring of rivers and streams subjected to urban pollution.

Indexed as

biomonitoring%Chironomidae + OligochaetaHemiptera abundanceimpact categoriesMINDUNiger Delta and water quality

Identifiers

PMID31788221
PMCPMC6875576

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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.