PLoS Computational BiologyEcologyPeer-reviewed journal article
Dynamic Workforce Modulation and Foraging Efficiency in Eusocial Insect Colonies
Daniel CamposiD, Javier CristíniD, Pol Fernández-LópeziD, Roger Lloret‐CabotiD, Meritxell GenovartiD, Frederic BartumeusiD
Abstract
Understanding the fitness advantages conferred by eusociality remains a central challenge in behavioral ecology. One promising approach is to identify collective strategies that shift efficiency within social groups. Here, we test the hypothesis that reserve workforces in eusocial insect colonies represent an adaptive mechanism that enhances flexibility and foraging efficiency under fluctuating environmental conditions. We examine how such reserve workers modulate the departure and return rates of foragers and how these time-dependent dynamics shape the colonys overall energetic balance. By integrating an energetic-balance framework with stochastic search simulations inspired by empirical results from Aphaenogaster senilis, we quantify the energetic requirements for colony viability, incorporating energy intake, search costs, and basal metabolic demands. Our results show that as colonies grow, maintaining a positive energy balance requires a disproportionately larger relative workforce. By modulating departure and return rates over time, colonies control the synchrony of their collective search and efficiently activate or suppress their reserve workforce to scale foraging effort as needed. These findings suggest that the "lazy" or weakly engaged workers commonly observed in large colonies function as an essential reserve that stabilizes colony energetics and enhances responsiveness. Together, our results provide a functional explanation for sublinear metabolic scaling in eusocial groups and highlight workforce modulation as a key factor underlying their energetic stability and evolutionary success.
- organism: multiple species
- assay: behavioral assay
- research focus: ecology & biodiversity
- approach: statistical model
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- top 22%
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