Flow-mediated olfactory communication in honeybee swarms

Author:

Nguyen Dieu My T.,Iuzzolino Michael L.,Mankel Aaron,Bozek Katarzyna,Stephens Greg J.ORCID,Peleg OritORCID

Abstract

Honeybee swarms are a landmark example of collective behavior. To become a coherent swarm, bees locate their queen by tracking her pheromones. But how can distant individuals exploit these chemical signals, which decay rapidly in space and time? Here, we combine a behavioral assay with the machine vision detection of organism location and scenting (pheromone propagation via wing fanning) behavior to track the search and aggregation dynamics of the honeybee Apis mellifera L. We find that bees collectively create a scenting-mediated communication network by arranging in a specific spatial distribution where there is a characteristic distance between individuals and directional signaling away from the queen. To better understand such a flow-mediated directional communication strategy, we developed an agent-based model where bee agents obeying simple, local behavioral rules exist in a flow environment in which the chemical signals diffuse and decay. Our model serves as a guide to exploring how physical parameters affect the collective scenting behavior and shows that increased directional bias in scenting leads to a more efficient aggregation process that avoids local equilibrium configurations of isotropic (nondirectional and axisymmetric) communication, such as small bee clusters that persist throughout the simulation. Our results highlight an example of extended classical stigmergy: Rather than depositing static information in the environment, individual bees locally sense and globally manipulate the physical fields of chemical concentration and airflow.

Funder

National Science Foundation

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A computational topology-based spatiotemporal analysis technique for honeybee aggregation;npj Complexity;2024-04-17

2. Introduction;The Foraging Behavior of the Honey Bee (Apis mellifera, L.);2024

3. Collective synchrony of mating signals modulated by ecological cues and social signals in bioluminescent sea fireflies;Proceedings of the Royal Society B: Biological Sciences;2023-11-29

4. Gone With the Wind: Honey Bee Collective Scenting in the Presence of External Wind;Proceedings of The ACM Collective Intelligence Conference;2023-11-05

5. The role of hydrodynamics in collective motions of fish schools and bioinspired underwater robots;Journal of The Royal Society Interface;2023-10

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