Evidence map›Paper›PMID 40554751›Full record

ArticleThe Journal of experimental biology2025

The impact of landscape complexity and composition on honey bee visual learning.

Georgina Hollands, Jake L Snaddon, Philip L Newland, Suleiman M Sharkh

Abstract read
In one paragraph

Article in The Journal of experimental biology, 2025. 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

4 authors.

Georgina HollandsMechatronics Research Group, Mechanical Engineering, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.ORCID 0000-0002-5875-9197
Jake L SnaddonSchool of Geography and Environmental Science, Highfield Campus, University of Southampton, Southampton SO17 1BJ, UK.
Philip L NewlandSchool of Biological Sciences, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.ORCID 0000-0003-4124-8507
Suleiman M SharkhMechatronics Research Group, Mechanical Engineering, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.ORCID 0000-0001-7335-8503

Funding

Engineering and Physical Sciences Research CouncilEPSRC Sustainable Infrastructure Systems Centre for Doctoral Training at University of SouthamptonRoyal Geographical SocietyUniversity of SouthamptonUniversity of Southampton Faculty of Engineering and the EnvironmentUniversity of Southampton Institute of Life Sciences (IfLS)
6 · The paper itself

Abstract

Over the past few decades there has been an overall decline in the number of pollinators, including wild bees, partly due to stress factors such as the availability of food resources, nest site availability and pesticide usage. Managed honey bees have also been negatively impacted in certain regions, such as the USA. One of the major stress factors facing bees currently is land use change, where natural landscapes are decreasing and often converted to either agricultural or urban land. Here, we assess directly the link between landscape diversity, edge density and honey bee learning, by analysing how honey bee visual learning ability varies across different landscapes, using a field-adapted version of the proboscis extension response. It was previously thought that honey bees from hives based in different landscapes may vary in visual learning abilities because of their different experiences and neural plasticity. Thus, bees that have experience in more complex learning environments may do better in learning tasks. To test this, bees were taught to associate a coloured yellow paper strip with a positive sugar reward and a blue coloured strip with a negative salt reward. Results showed that as edge density increased in the landscape, visual learning in bees reduced, and when landscape diversity increased, so did learning. This is important as bees must learn foraging routes, find profitable flowers and develop spatial maps, as well as recognise intruders. If their cognitive abilities are reduced and they are unable to carry out these tasks, this will be detrimental for the continuous development of the colony.

Indexed as

EcosystemLearningVisual PerceptionAnimalsBeesRewardApidaeApisHoney beeLandscapeLearning

Identifiers

PMID40554751
PMCPMC12268175

What OpenQuestion holds

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LicenceCC BY
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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.