Evidence map›Paper›PMID 39915490›Full record

ArticleScientific data2025

A spatial inventory of freshwater macroinvertebrate occurrences in the Guineo-Congolian biodiversity hotspot.

Emmanuel O Akindele, Abiodun M Adedapo, Oluwaseun T Akinpelu, Esther D Kowobari, Oluwatosin C Folorunso, Ibrahim R Fagbohun, Tolulope A Oladeji, Olanrewaju O Aliu, Oluwatobiloba S Adenola, Babasola W Adu and 3 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Emmanuel O AkindeleLeibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Department of Community and Ecosystem Ecology, Berlin, Germany. emmanuel.akindele@igb-berlin.de.
Abiodun M AdedapoDepartment of Zoology, Obafemi Awolowo University, Ile-Ife, Nigeria.ORCID http://orcid.org/0000-0001-8900-0178
Oluwaseun T AkinpeluDepartment of Animal Biology, Federal University of Technology, Minna, Nigeria.
Esther D KowobariDepartment of Zoology, Obafemi Awolowo University, Ile-Ife, Nigeria.
Oluwatosin C FolorunsoDepartment of Zoology, Obafemi Awolowo University, Ile-Ife, Nigeria.
Ibrahim R FagbohunDepartment of Zoology, Obafemi Awolowo University, Ile-Ife, Nigeria.
Tolulope A OladejiDepartment of Zoology, Obafemi Awolowo University, Ile-Ife, Nigeria.
Olanrewaju O AliuDepartment of Zoology, Obafemi Awolowo University, Ile-Ife, Nigeria.
Oluwatobiloba S AdenolaDepartment of Zoology, Obafemi Awolowo University, Ile-Ife, Nigeria.
Babasola W AduDepartment of Biology, Federal University of Technology, Akure, Nigeria.
Francis O ArimoroDepartment of Animal Biology, Federal University of Technology, Minna, Nigeria.
Sylvester S OgboguDepartment of Zoology, Obafemi Awolowo University, Ile-Ife, Nigeria.
Sami DomischLeibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Department of Community and Ecosystem Ecology, Berlin, Germany.

Funding

Alexander von Humboldt-Stiftung (Alexander von Humboldt Foundation) Ref. 3.4 - NGA - 1199118 - GF-E
6 · The paper itself

Abstract

The Guineo-Congolian region, extending from Guinea in West Africa to the central part of Africa, is considered an important biodiversity hotspot in the Afrotropics. Aside from the underreporting and underestimation of freshwater ecosystems, the challenges regarding incorrect coordinates and taxonomical inaccuracies in freshwater species occurrence data pose another major hurdle that may hinder freshwater conservation efforts in the hotspot. Hence, for any biogeographic analysis, species distribution modelling or conservation initiative, it is crucial to use datasets that are, to the largest possible extent, free of spatial and taxonomic errors. We present the final output of 8,809 occurrences consisting of 4 phyla, eight classes, 32 orders, and 1,104 species. We also added the Hydrography90m stream network attributes to the macroinvertebrate occurrence records, such that the data spans across 2,890 sub-catchments and Strahler stream orders 1-12. These records are considered valid and can be used for biogeographic analysis of freshwater macroinvertebrates in this important yet understudied freshwater biodiversity hotspot.

Indexed as

BiodiversityInvertebratesAnimalsEcosystemFresh WaterRivers

Identifiers

PMID39915490
PMCPMC11802732

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Registered trials

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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.