Evidence map›Paper›PMID 40610608›Full record

Articlenpj biodiversity2025

Standardized diversity estimation uncovers global distribution patterns and drivers of stream insects.

Guohao Liu, Zongwei Lin, Janne Soininen, Tatenda Dalu, Noël P D Juvigny-Khenafou, Sangar Khan, Hongli Mu, Collins Oduro, Xinxin Qi, Xiaodong Qu and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in npj biodiversity, 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

16 authors.

Guohao LiuDepartment of Geography and Spatial Information Techniques, School of Civil and Environmental Engineering and Geography Science, Ningbo University, Ningbo, China.
Zongwei LinDepartment of Geography and Spatial Information Techniques, School of Civil and Environmental Engineering and Geography Science, Ningbo University, Ningbo, China.
Janne SoininenDepartment of Geosciences and Geography, University of Helsinki, Helsinki, Finland.
Tatenda DaluAquatic Systems Research Group, School of Biology and Environmental Sciences, University of Mpumalanga, Nelspruit, South Africa.
Noël P D Juvigny-KhenafouInstitute of Aquaculture, University of Stirling, Stirling, Scotland, UK.
Sangar KhanDepartment of Geography and Spatial Information Techniques, School of Civil and Environmental Engineering and Geography Science, Ningbo University, Ningbo, China.
Hongli MuDepartment of Geography and Spatial Information Techniques, School of Civil and Environmental Engineering and Geography Science, Ningbo University, Ningbo, China.
Collins OduroDepartment of Geography and Spatial Information Techniques, School of Civil and Environmental Engineering and Geography Science, Ningbo University, Ningbo, China.
Xinxin QiDepartment of Geography and Spatial Information Techniques, School of Civil and Environmental Engineering and Geography Science, Ningbo University, Ningbo, China.
Xiaodong QuState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China.
Tenna RiisDepartment of Biology, Aarhus University, Aarhus, Denmark.
Lishani WijewardeneDepartment of Limnology and Water Technology, Faculty of Fisheries and Marine Sciences & Technology, University of Ruhuna, Matara, Sri Lanka.
Min ZhangState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China.
Jialin LiDepartment of Geography and Spatial Information Techniques, School of Civil and Environmental Engineering and Geography Science, Ningbo University, Ningbo, China. lijialin@nbu.edu.cn.
Yanjuan WuDepartment of Geography and Spatial Information Techniques, School of Civil and Environmental Engineering and Geography Science, Ningbo University, Ningbo, China. wuyanjuanfree@sina.cn.
Naicheng WuDepartment of Geography and Spatial Information Techniques, School of Civil and Environmental Engineering and Geography Science, Ningbo University, Ningbo, China. naichengwu88@gmail.com.

Funding

National Natural Science Foundation of China 52279068, 42350410434
6 · The paper itself

Abstract

Freshwater insect biodiversity is under global threat from anthropogenic stressors, yet the roles of natural and anthropogenic drivers remain unclear. Here, we examine 783 river basins to map the global diversity and explore the effects of sampling bias, natural, and anthropogenic factors on four major taxa: Ephemeroptera, Plecoptera, Trichoptera and Odonata (EPTO). About 62% of basins were under-sampled, especially in the Global South. Standardized diversity metrics (especially Shannon- and Simpson-based) better captured global diversity patterns of insect than observed diversity. Standardized taxonomic and functional diversity showed two latitudinal peaks, with a minor peak at the equator and a higher peak at ~40°N. Landscape factors had the highest relative impact on taxonomic diversity, while both climatic and landscape factors were primary drivers of functional diversity. By controlling for sampling biases, we provide more accurate insights into the drivers of freshwater insect diversity to inform effective stream conservation and management.

Identifiers

PMID40610608
PMCPMC12229618

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.