Abstract
Age-polyethism—the age-based allocation of tasks in social insect colonies—is a key feature of division of labour. While its hormonal underpinnings have been studied extensively, the behavioural and environmental mechanisms driving age-polyethism remain poorly understood, especially under ecological stress. We present a novel modelling framework that integrates social learning with task-related environmental feedback to explain the emergence and breakdown of age-polyethism. We develop two models: a Social Learning (SL) model, in which individuals adapt task preferences by copying similar peers, and a Stimulus-Response Threshold Social Learning (SRT-SL) model, which extends this framework by incorporating task-related dynamic stimuli and response thresholds that regulate collective task demand. Our models demonstrate that age-polyethism can emerge from simple social imitation processes, without the need for fixed hormonal schedules. We show that under increasing environmental pressure (e.g., resource scarcity), age-polyethism collapses as younger individuals are forced into tasks typically handled by older workers. Importantly, we find that age-polyethism does not necessarily optimize immediate colony efficiency; instead, it appears to reflect a trade-off between environmental constraints and behavioural coordination. These findings provide a mechanistic and ecologically grounded explanation for empirical observations linking environmental stress to dysfunctional division of labour and colony collapse.
| Original language | English |
|---|---|
| Article number | e1013415 |
| Number of pages | 22 |
| Journal | PLoS Computational Biology |
| Volume | 21 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 25 Aug 2025 |
Projects
- 2 Finished
-
Self-organised communication as a foundation of large, complex societies
Meyer, B. (Primary Chief Investigator (PCI)), Reid, C. R. (Chief Investigator (CI)), Landgraf, T. (Partner Investigator (PI)) & Couzin, I. (Partner Investigator (PI))
1/02/21 → 26/12/24
Project: Research
-
Modelling collective behaviour to protect social insect ecosystem services
Meyer, B. (Primary Chief Investigator (PCI)), Burd, M. (Chief Investigator (CI)), Garcia Gallego, J. (Chief Investigator (CI)), Traulsen, A. (Partner Investigator (PI)) & Offenberg, J. (Partner Investigator (PI))
9/02/18 → 31/08/22
Project: Research
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