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Honey bee waggle dance data and code to analyze the spatial foraging patterns of co-localized colonies in Virginia as part of Bees-as-Bioindicators project.

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DataCite Commons2025-05-13 更新2026-05-07 收录
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https://data.lib.vt.edu/articles/dataset/Honey_bee_waggle_dance_data_and_code_to_analyze_the_spatial_foraging_patterns_of_co-localized_colonies_in_Virginia_as_part_of_Bees-as-Bioindicators_project_/26276062/2
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Optimal foraging theory (OFT) predicts that animals employ foraging strategies that maximize a particular currency, such as net energetic efficiency, to meet their nutritional demands. Two non-exclusive patterns that arise from OFT are convergence on high-quality resources and resource partitioning. Honey bees make collective decisions by integrating their individual foraging with social recruitment behaviors: returning foragers communicate the approximate vector to high-quality resources using waggle dances. Because we can eavesdrop on their communications, waggle dance decoding is a valuable tool for exploring OFT predictions as it allows us to map how honey bees use landscapes. In this study, we analyzed 8049 dances from co-localized colonies across three landscapes to investigate whether neighboring colonies forage by not partitioning patches (i.e. converging their food collection on the same patches), by partitioning at the landscape level, or by partitioning at the local level. To differentiate between these three possible scenarios, we examined three metrics: (1) inter-dance distances between and within colonies; (2) k-nearest neighbors; and (3) k-means clustering. We observed no difference in the distances between dances performed by bees from the same colony compared to those from different colonies. Also, we found at each of the three field sites that dances from the same colony were not more likely to appear as close neighbors to each other. Finally, k-means cluster analysis demonstrates that dance locations advertised by the same colony aggregated non-randomly in the three sites, where dances from the same colony comprised a significant majority of dances within k-means clusters and 62% of clusters consisted entirely of dances from a single colony. Together, these results support a foraging scenario where honey bees partition their foraging, but at the local level. This strategy may help limit inter-colony foraging competition.
提供机构:
University Libraries, Virginia Tech
创建时间:
2025-05-13
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