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Migration control: A distance compensation strategy in ants
Authors
A Dornhaus
A Dornhaus
+47 more
A Roux Le
Ana B. Sendova-Franks
BG Hunt
BYJJ Wine
C Scho
DM Gordon
EA Langridge
EA Langridge
EB Mallon
EL Franklin
ER Hunt
I Scharf
JFA Traniello
JP Stuttard
L Chittka
LM Hunter
LM Zimmerman
M Guillemette
M Stevens
M Thiélin-Bescond
M Wittlinger
MV Srinivasan
N Basari
Nigel R. Franks
NJ Mlot
NR Franks
NR Franks
NR Franks
NR Franks
NR Franks
NR Franks
NR Franks
NR Franks
P Nonacs
R Planqué
R Rosengren
R Wehner
S Creel
S Thirgood
SC Pratt
SC Pratt
SL Lima
T Sasaki
TA O’Shea-Wheller
Thomas A. O’Shea-Wheller
WG Whitford
X Cerdá
Publication date
1 January 2016
Publisher
'Springer Science and Business Media LLC'
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Abstract
©The Author(s) 2016. This article is published with open access at Springerlink.com. Migratory behaviour forms an intrinsic part of the life histories of many organisms but is often a high-risk process. Consequently, varied strategies have evolved to negate such risks, but empirical data relating to their functioning are limited. In this study, we use the model system of the househunting ant Temnothorax albipennis to demonstrate a key strategy that can shorten migration exposure times in a group of social insects. Colonies of these ants frequently migrate to new nest sites, and due to the nature of their habitat, the distances over which they do so are variable, leading to fluctuating potential costs dependent on migration parameters. We show that colonies of this species facultatively alter the dynamics of a migration and so compensate for the distance over which a given migration occurs. Specifically, they achieve this by modulating the rate of ‘tandem running’, in which workers teach each other the route to a new nest site. Using this method, colonies are able to engage a larger number of individuals in the migration process when the distance to be traversed is greater, and furthermore, the system appears to be based on perceived encounter rate at the individual level. This form of decentralised control highlights the adaptive nature of a behaviour of ecological importance, and indicates that the key to its robustness lies in the use of simple rules. Additionally, our results suggest that such coordinated group reactions are central to achieving the high levels of ecological success seen in many eusocial organisms
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