Nonequilibrium dynamics of social groups: insights from foraging Argentine ants

SummaryWe studied disturbance patterns in groups of feeding Argentine ants, Linepithema humile. All disturbances were caused by the ants themselves, without application of exogenous disturbances. The overall pattern, which consisted of a power law distribution of disturbance avalanche sizes, each of which was initiated by a single wandering ant, is similar to patterns characteristic of self-organized critical systems. In addition, we observed variation among individuals in response to disturbance according to their level of satiation. Ants with distended gasters (indicative of volume of food uptake) resumed feeding less rapidly than their thinner counterparts, and were more likely to leave food sources altogether. Although these disturbances reduce food collection because feeding ants are interrupted, they are minimal and may enable ant groups to balance collectively the advantage of rapid alarm communication with the costs of interrupted foraging from trivial disturbances.

[1]  de Carvalho JX,et al.  Self-organized criticality in the olami-feder-christensen model , 1999, Physical review letters.

[2]  Julianne D. Halley,et al.  The response of foraging Argentine ants, Linepithema humile, to disturbance , 2001 .

[3]  Frank Moss,et al.  Use of behavioural stochastic resonance by paddle fish for feeding , 1999, Nature.

[4]  C. Adami,et al.  Critical and near-critical branching processes. , 1999, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  Keane,et al.  Experimental study of critical-mass fluctuations in an evolving sandpile. , 1990, Physical review letters.

[6]  J. M. Smith,et al.  The Logic of Animal Conflict , 1973, Nature.

[7]  B. Drossel,et al.  Forest fires and other examples of self-organized criticality , 1996, cond-mat/9610201.

[8]  David Ferster,et al.  Is Neural Noise Just a Nuisance? , 1996, Science.

[9]  G. Quinn,et al.  Experimental Design and Data Analysis for Biologists , 2002 .

[10]  Carson C. Chow,et al.  Stochastic resonance without tuning , 1995, Nature.

[11]  E. Wilson.  Chemical communication among workers of the fire ant Solenopsis saevissima (Fr. Smith) 1. The Organization of Mass-Foraging , 1962 .

[12]  Grégoire Nicolis,et al.  Self-Organization in nonequilibrium systems , 1977 .

[13]  Mehran Kardar.  Avalanche theory in rice , 1996, Nature.

[14]  Tang,et al.  Self-Organized Criticality: An Explanation of 1/f Noise , 2011 .

[15]  S. L. Lima,et al.  Behavioral decisions made under the risk of predation: a review and prospectus , 1990 .

[16]  D. Turcotte,et al.  Self-organized criticality , 1999 .

[17]  Per Bak,et al.  How Nature Works , 1996 .

[18]  Eshel Ben-Jacob,et al.  The artistry of nature , 2001, Nature.

[19]  S. Fretwell,et al.  On territorial behavior and other factors influencing habitat distribution in birds , 1969 .

[20]  I D Couzin,et al.  Self-organized lane formation and optimized traffic flow in army ants , 2003, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[21]  T. Gisiger.  Scale invariance in biology: coincidence or footprint of a universal mechanism? , 2001, Biological reviews of the Cambridge Philosophical Society.

[22]  A. Grinvald,et al.  Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses , 1996, Science.

[23]  F. Taylor,et al.  Foraging behavior of ants: theoretical considerations. , 1978, Journal of theoretical biology.

[24]  James J. Collins.  Biophysics: Fishing for function in noise , 1999, Nature.

[25]  E. Wilson,et al.  Caste and ecology in the social insects. , 1979, Monographs in population biology.

[26]  E. Bonabeau.  Flexibility at the Edge of Chaos: a Clear Example from Foraging in Ants , 1997 .

[27]  Christopher G. Langton,et al.  Computation at the edge of chaos: Phase transitions and emergent computation , 1990 .

[28]  D. Ruelle.  Statistical mechanics: A departure from equilibrium , 2001, Nature.

[29]  O. Kinouchi,et al.  Robustness of scale invariance in models with self-organized criticality. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[30]  F. Taylor.  Foraging behavior of ants: Experiments with two species of myrmecine ants , 1977, Behavioral Ecology and Sociobiology.

[31]  Guy Theraulaz,et al.  Self-Organization in Biological Systems , 2001, Princeton studies in complexity.

[32]  S. Pratt,et al.  A modelling framework for understanding social insect foraging , 2003, Behavioral Ecology and Sociobiology.

[33]  S. Fretwell,et al.  On territorial behavior and other factors influencing habitat distribution in birds , 1969 .

[34]  Jean-Louis Deneubourg,et al.  Decision-making in foraging by social insects , 1999 .

[35]  V. Frette,et al.  Avalanche dynamics in a pile of rice , 1996, Nature.

[36]  D. F. Howard,et al.  The flow of food in colonies of the fire ant, Solenopsis invicta: a multifactorial study , 1981 .

[37]  P. Kirk Visscher,et al.  Animal behaviour: How self-organization evolves , 2003, Nature.

[38]  Thomas T. Imhoff,et al.  Noise-enhanced tactile sensation , 1996, Nature.

[39]  Schuster,et al.  1/f(alpha) noise from self-organized critical models with uniform driving , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[40]  P. Bak,et al.  Self-organized criticality. , 1988, Physical review. A, General physics.

[41]  Kurt Wiesenfeld,et al.  Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs , 1995, Nature.

[42]  Henrik Jeldtoft Jensen,et al.  Self-Organized Criticality , 1998 .

[43]  Leah Edelstein-Keshet,et al.  Simple models for trail-following behaviour; Trunk trails versus individual foragers , 1994 .