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

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.

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Publication Details

Journal
Journal of Experimental Biology
Published
2025-06-24
DOI
https://doi.org/10.1242/jeb.250057
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Jake L. Snaddon, Georgina Hollands, Philip L. Newland, Suleiman M. Sharkh
Journal of Experimental Biology
Plant and animal studies
article

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

Jake L. Snaddon, Georgina Hollands, Philip L. Newland, Suleiman M. Sharkh
article en

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.

Journal of Experimental BiologyVol. 228(13)
University of Southampton (GB)
Royal Geographical Society, University of Southampton, Engineering and Physical Sciences Research Council
Zero hunger
Openalex Percentile: Top 88%
Plant and animal studies
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