Social inhibition maintains adaptivity and consensus of honeybees foraging in dynamic environments

Author:

Bidari Subekshya1,Peleg Orit234ORCID,Kilpatrick Zachary P.15ORCID

Affiliation:

1. Department of Applied Mathematics, University of Colorado, Boulder, CO 80309, USA

2. Department of Computer Science, University of Colorado, Boulder, CO 80309, USA

3. BioFrontiers Institute, University of Colorado, Boulder, CO 80309, USA

4. Santa Fe Institute, Santa Fe, NM 87501, USA

5. Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO 80045, USA

Abstract

To effectively forage in natural environments, organisms must adapt to changes in the quality and yield of food sources across multiple timescales. Individuals foraging in groups act based on both their private observations and the opinions of their neighbours. How do these information sources interact in changing environments? We address this problem in the context of honeybee colonies whose inhibitory social interactions promote adaptivity and consensus needed for effective foraging. Individual and social interactions within a mathematical model of collective decisions shape the nutrition yield of a group foraging from feeders with temporally switching quality. Social interactions improve foraging from a single feeder if temporal switching is fast or feeder quality is low. When the colony chooses from multiple feeders, the most beneficial form of social interaction is direct switching, whereby bees flip the opinion of nest-mates foraging at lower-yielding feeders. Model linearization shows that effective social interactions increase the fraction of the colony at the correct feeder (consensus) and the rate at which bees reach that feeder (adaptivity). Our mathematical framework allows us to compare a suite of social inhibition mechanisms, suggesting experimental protocols for revealing effective colony foraging strategies in dynamic environments.

Funder

National Institute of Mental Health

American Association of University Women

Division of Mathematical Sciences

Publisher

The Royal Society

Subject

Multidisciplinary

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