Individual and collective decision-making during nest site selection by the ant Leptothorax albipennis

2001 ◽  
Vol 50 (4) ◽  
pp. 352-359 ◽  
Author(s):  
Mallon E. ◽  
Pratt S. ◽  
Franks N.
2017 ◽  
Vol 284 (1848) ◽  
pp. 20162237 ◽  
Author(s):  
Thomas A. O'Shea-Wheller ◽  
Naoki Masuda ◽  
Ana B. Sendova-Franks ◽  
Nigel R. Franks

Self-organized systems of collective behaviour have been demonstrated in a number of group-living organisms. There is, however, less research relating to how variation in individual assessments may facilitate group decision-making. Here, we investigate this using the decentralized system of collective nest choice behaviour employed by the ant Temnothorax albipennis, combining experimental results with computational modelling. In experiments, isolated workers of this species were allowed to investigate new nest sites of differing quality, and it was found that for any given nest quality, there was wide variation among individuals in the durations that they spent within each nest site. Additionally, individual workers were consistent in spending more time in nest sites of higher quality, and less time in those of lower quality. Hence, the time spent in a new nest site must have included an assessment of nest quality. As nest site visit durations (henceforth termed assessment durations) are linked to recruitment, it is possible that the variability we observed may influence the collective decision-making process of colonies. Thus, we explored this further using a computational model of nest site selection, and found that heterogeneous nest assessments conferred a number of potential benefits. Furthermore, our experiments showed that nest quality assessments were flexible, being influenced by experience of prior options. Our findings help to elucidate the potential mechanisms underlying group behaviour, and highlight the importance of heterogeneity among individuals, rather than precise calibration, in shaping collective decision-making.


2018 ◽  
Vol 373 (1746) ◽  
pp. 20170010 ◽  
Author(s):  
Madeleine Beekman ◽  
Benjamin P. Oldroyd

During reproductive swarming, a honeybee swarm needs to decide on a new nest site and then move to the chosen site collectively. Most studies of swarming and nest-site selection are based on one species, Apis mellifera . Natural colonies of A. mellifera live in tree cavities. The quality of the cavity is critical to the survival of a swarm. Other honeybee species nest in the open, and have less strict nest-site requirements, such as the open-nesting dwarf honeybee Apis florea . Apis florea builds a nest comprised of a single comb suspended from a twig. For a cavity-nesting species, there is only a limited number of potential nest sites that can be located by a swarm, because suitable sites are scarce. By contrast, for an open-nesting species, there is an abundance of equally suitable twigs. While the decision-making process of cavity-nesting bees is geared towards selecting the best site possible, open-nesting species need to coordinate collective movement towards areas with potential nest sites. Here, we argue that the nest-site selection processes of A. florea and A. mellifera have been shaped by each species' specific nest-site requirements. Both species use the same behavioural algorithm, tuned to allow each species to solve their species-specific problem. This article is part of the theme issue ‘Collective movement ecology’.


Apidologie ◽  
2004 ◽  
Vol 35 (2) ◽  
pp. 101-116 ◽  
Author(s):  
Thomas D. Seeley ◽  
P. Kirk Visscher

Ecology ◽  
2014 ◽  
Vol 95 (12) ◽  
pp. 3428-3439 ◽  
Author(s):  
Sami M. Kivelä ◽  
Janne-Tuomas Seppänen ◽  
Otso Ovaskainen ◽  
Blandine Doligez ◽  
Lars Gustafsson ◽  
...  

2011 ◽  
Vol 82 (5) ◽  
pp. 995-1013 ◽  
Author(s):  
Timothy M. Schaerf ◽  
Mary R. Myerscough ◽  
James C. Makinson ◽  
Madeleine Beekman

Science ◽  
2011 ◽  
Vol 335 (6064) ◽  
pp. 108-111 ◽  
Author(s):  
Thomas D. Seeley ◽  
P. Kirk Visscher ◽  
Thomas Schlegel ◽  
Patrick M. Hogan ◽  
Nigel R. Franks ◽  
...  

Honeybee swarms and complex brains show many parallels in how they make decisions. In both, separate populations of units (bees or neurons) integrate noisy evidence for alternatives, and, when one population exceeds a threshold, the alternative it represents is chosen. We show that a key feature of a brain—cross inhibition between the evidence-accumulating populations—also exists in a swarm as it chooses its nesting site. Nest-site scouts send inhibitory stop signals to other scouts producing waggle dances, causing them to cease dancing, and each scout targets scouts’ reporting sites other than her own. An analytic model shows that cross inhibition between populations of scout bees increases the reliability of swarm decision-making by solving the problem of deadlock over equal sites.


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