Evidence map›Paper›PMID 41807479›Full record

ArticleScientific reports2026

Mapping global bee research with traits and plant-pollinator interaction networks.

Miles Liam Nesbit, Cecilia Montauban, Francis Windram, Miguel Santiago Bailey Pérez, William O H Hughes, Dave Goulson, Richard J Gill, Peter Graystock

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
–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

0 citing papers in PubMed.

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

8 authors.

Miles Liam NesbitDepartment of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park, Ascot, Berkshire, UK. m.nesbit19@imperial.ac.uk.
Cecilia MontaubanDepartment of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park, Ascot, Berkshire, UK.
Francis WindramDepartment of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park, Ascot, Berkshire, UK.
Miguel Santiago Bailey PérezDepartment of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park, Ascot, Berkshire, UK.
William O H HughesSchool of Life Sciences, University of Sussex, Brighton, UK.
Dave GoulsonSchool of Life Sciences, University of Sussex, Brighton, UK.
Richard J GillDepartment of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park, Ascot, Berkshire, UK.
Peter GraystockDepartment of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park, Ascot, Berkshire, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bees sustain key functions in natural ecosystems and agricultural landscapes, yet our understanding of their ecology is typically informed from studies concentrated on a few model taxa. To reveal how this may be biasing our understanding of bee responses and function in the environment we quantify global patterns of research attention across 69,682 bee-related publications to test whether research effort aligns with plant-pollinator network centrality, trait variation, public interest, and socio-economic context. Human managed bees take up most of the research effort; importantly this trend has been increasing over time. Plant–pollinator network centrality is unrelated to research effort; here we reveal genera with high centrality but low research attention as prime candidates for future study. Both pollinator management and sociality have an impact on research effort. Excluding Apis and Bombus (the most traditionally researched genera), managed bee genera are the focus of twice as many papers as wild genera, with the managed share rising over time. Our study reveals and quantifies persistent global research biases and highlights the need for monitoring, risk assessment, and policies that target neglected yet structurally central genera in plant-pollinator interaction networks.

Indexed as

PlantsPollinationAnimalsBeesEcosystemBeesConservationPlant–pollinator networksPolicyPollinatorsTrait analysis

Identifiers

PMID41807479
PMCPMC13096181

What Socratic holds

Textmetadata
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 Socratic graph.