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(R)evolution Stings Back: Rethinking Strategies for Conserving Local Biodiversity of the Western Honey Bee (Apis mellifera)
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Abstract
The western honey bee (Apis mellifera) occupies an unusual position between domesticated livestock and wild organisms, creating persistent ambiguity in conservation policy. Most current conservation programmes prioritise controlled breeding, phenotypic stability, and lineage integrity, implicitly treating honey bees as populations dependent on continuous human management. While effective at maintaining recognisable breeding lines, such approaches largely bypass the evolutionary processes, natural selection, high colony turnover, and gene flow that historically generated honey bee diversity and local adaptation. Here, we argue that effective honey bee conservation should explicitly integrate managed protection with conservation through natural selection. We synthesise evidence that free-living colonies can persist as self-sustaining populations despite high mortality, and that these colonies provide essential opportunities to observe adaptation to pathogens, climate variability, and resource limitation under native selective regimes. We further emphasise the colony as a dynamic biological system in which host genetics, microbial communities, and pathogens jointly shape performance and evolutionary responses. Traditional and revived forest-based nesting systems, such as tree and log hives, are proposed as practical tools for linking honey bee conservation with broader biodiversity objectives. Finally, we outline a scalable monitoring framework that combines high-throughput phenotypic and genetic approaches to connect managed and free-living populations. We conclude that aligning conservation strategies with evolutionary processes is essential for preserving adaptive potential under rapid environmental change.
DOI
https://doi.org/10.32942/X24T04
Subjects
Life Sciences
Keywords
honey bee conservation, environmental adaptation, anthropogenic pressure, hybridisation and introgression, host–microbiome interactions
Dates
Published: 2026-03-19 21:07
Last Updated: 2026-03-19 21:07
License
CC-By Attribution-NonCommercial-NoDerivatives 4.0 International
Additional Metadata
Data and Code Availability Statement:
Open data/code are not available
Language:
English
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