Model of the best-of-N nest-site selection process in honeybees

TL;DR

This paper extends honeybee nest-site selection models from binary choices to multiple options, analyzing decision dynamics and ecological implications of signalling strategies in complex scenarios.

Contribution

It introduces a generalized decision-making model for N nests, highlighting the role of signalling time ratios and ecological factors in optimal nest selection.

Findings

Decision dynamics differ significantly in N-choice scenarios.

Optimal signalling ratios are influenced by ecological nest density.

Time-dependent signalling strategies may resolve conflicting pressures.

Abstract

The ability of a honeybee swarm to select the best nest site plays a fundamental role in determining the future colony's fitness. To date, the nest-site selection process has mostly been modelled and theoretically analysed for the case of binary decisions. However, when the number of alternative nests is larger than two, the decision process dynamics qualitatively change. In this work, we extend previous analyses of a value-sensitive decision-making mechanism to a decision process among N nests. First, we present the decision-making dynamics in the symmetric case of N equal-quality nests. Then, we generalise our findings to a best-of-N decision scenario with one superior nest and N-1 inferior nests, previously studied empirically in bees and ants. Whereas previous binary models highlighted the crucial role of inhibitory stop-signalling, the key parameter in our new analysis is the relative time invested by swarm members in individual discovery and in signalling behaviours. Our new analysis reveals conflicting pressures on this ratio in symmetric and best-of-N decisions, which could be solved through a time-dependent signalling strategy. Additionally, our analysis suggests how ecological factors determining the density of suitable nest sites may have led to selective pressures for an optimal stable signalling ratio.