Evidence map›Paper›PMID 38305996›Full record

ArticleEnvironmental monitoring and assessment2024

Development of a macroinvertebrate-based biotic index to assess water quality of rivers in Niger State, North Central Ecoregion of Nigeria.

Attobla Fulbert Assie, Francis O Arimoro, Gilbert Ndatimana, Unique N Keke, Adesola V Ayanwale, Edia O Edia, Augustine O Edegbene

Abstract read
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Article in Environmental monitoring and assessment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 4 institutions in 3 countries.

Attobla Fulbert AssieApplied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria. ful_as225@yahoo.fr.ORCID https://orcid.org/0000-0002-3279-8294
Francis O ArimoroApplied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria.ORCID https://orcid.org/0000-0001-6100-4011
Gilbert NdatimanaApplied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria.ORCID https://orcid.org/0000-0002-1446-8304
Unique N KekeApplied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria.ORCID https://orcid.org/0000-0002-9528-0599
Adesola V AyanwaleApplied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria.ORCID https://orcid.org/0000-0003-1304-2755
Edia O EdiaLaboratory of Environment and Aquatic Biology, Faculty of Environmental Sciences and Management, University Nangui Abrogoua, 02 BP 801, Abidjan 02, Lagunes, Côte d'Ivoire.ORCID https://orcid.org/0000-0002-3105-2095
Augustine O EdegbeneDepartment of Biological Sciences, Federal University of Health Sciences, Otukpo, Benue State, 972261, Nigeria.ORCID https://orcid.org/0000-0003-4032-3923
Federal University of Technology Minna · NGBenue State University · NGUniversité Nangui Abrogoua · CIUniversity of Rwanda · RW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing pollution of lotic ecosystems in sub-Saharan Africa, particularly in Nigeria, poses a threat to water quality, public health and biodiversity. It is therefore essential to develop appropriate tools and methods for monitoring these rivers, particularly in heavily affected areas, where these water resources are vital to the surrounding communities that are heavily dependent on them. To fill this gap, we propose to develop a multimetric index based on macroinvertebrates for the assessment of ecological quality of rivers in Niger State (NSRBI). Eighty-eight metrics were evaluated through a step-by-step statistical process (namely, range test and stability, redundancy test and relationship with abiotic variables), in which metrics that did not meet the conditions were excluded. At the end of this process, only four metrics (%Hemiptera, Diptera richness, Pielou equitability and % of very large individuals (size > 40 mm)) fulfilling all criteria were included in the index. These metrics were then scored on a continuous scale and divided into four water quality classes: "very poor", "poor", "fair" and "good". Evaluation of the performance of the index on test sites showed a correspondence of 90% between index result and environmental-based classification. Therefore, the NSRBI could be a valuable tool for monitoring and assessing the ecological conditions of rivers in Niger State and the North Central Nigeria ecoregion predominantly in urban and agricultural landscapes.

Indexed as

EcosystemWater QualityAnimalsEnvironmental MonitoringHumansInvertebratesNigerNigeriaEcological qualityMacroinvertebrates assemblagesMultimetric indexNSRBI (Niger State Rivers Biotic Index)

Identifiers

PMID38305996
OpenAlexW4391474970

What OpenQuestion holds

Textmetadata
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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.