ArticleGigaScience2023
Honey bee (Apis mellifera) wing images: a tool for identification and conservation.
Article in GigaScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Country specific hybridization of honey bees from lineage M.GigaScience · 2026Article
- An XGBoost-Based Morphometric Classification System for Automatic Subspecies Identification ofInsects · 2025Article
- Variation of honey bee wings in southwestern Asia.Scientific data · 2025Article
- Automated Honey Bee Subspecies Identification Using Advanced Wing Venation Analysis and Adaptive Hierarchical Clustering.Ecology and evolution · 2025Article
- Comparing Morphometric and Mitochondrial DNA Data from Honeybees and Honey Samples for IdentifyingAnimals : an open access journal from MDPI · 2025Article
- BEEHIVE: A dataset of Apis mellifera images to empower honeybee monitoring research.Data in brief · 2024Article
- Variation in the Floral Morphology ofPlants (Basel, Switzerland) · 2024Article
- Influence of honey bee (PeerJ · 2024Article
- In Search ofLife (Basel, Switzerland) · 2023Article
- Honey bee (Apis mellifera) wing images: a tool for identification and conservation.GigaScience · 2023Article
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe honey bee (Apis mellifera) is an ecologically and economically important species that provides pollination services to natural and agricultural systems. The biodiversity of the honey bee in parts of its native range is endangered by migratory beekeeping and commercial breeding. In consequence, some honey bee populations that are well adapted to the local environment are threatened with extinction. A crucial step for the protection of honey bee biodiversity is reliable differentiation between native and nonnative bees. One of the methods that can be used for this is the geometric morphometrics of wings. This method is fast, is low cost, and does not require expensive equipment. Therefore, it can be easily used by both scientists and beekeepers. However, wing geometric morphometrics is challenging due to the lack of reference data that can be reliably used for comparisons between different geographic regions.
findingsHere, we provide an unprecedented collection of 26,481 honey bee wing images representing 1,725 samples from 13 European countries. The wing images are accompanied by the coordinates of 19 landmarks and the geographic coordinates of the sampling locations. We present an R script that describes the workflow for analyzing the data and identifying an unknown sample. We compared the data with available reference samples for lineage and found general agreement with them.
conclusionsThe extensive collection of wing images available on the Zenodo website can be used to identify the geographic origin of unknown samples and therefore assist in the monitoring and conservation of honey bee biodiversity in Europe.
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