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Research Article

Army ants dynamically adjust living bridges in response to a cost–benefit trade-off

Chris R. Reid, Matthew J. Lutz, Scott Powell, Albert B. Kao, Iain D. Couzin, and Simon Garnier
  1. aDepartment of Biological Sciences, New Jersey Institute of Technology, Newark, NJ 07102;
  2. bDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544;
  3. cDepartment of Biological Sciences, George Washington University, Washington, DC 20052;
  4. dDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138;
  5. eDepartment of Collective Behaviour, Max Planck Institute for Ornithology, Konstanz D-78457, Germany;
  6. fChair of Biodiversity and Collective Behaviour, Department of Biology, University of Konstanz, Konstanz D-78457, Germany

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PNAS December 8, 2015 112 (49) 15113-15118; first published November 23, 2015; https://doi.org/10.1073/pnas.1512241112
Chris R. Reid
aDepartment of Biological Sciences, New Jersey Institute of Technology, Newark, NJ 07102;
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  • For correspondence: chrisreidresearch@gmail.com mlutz@princeton.edu
Matthew J. Lutz
bDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544;
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  • For correspondence: chrisreidresearch@gmail.com mlutz@princeton.edu
Scott Powell
cDepartment of Biological Sciences, George Washington University, Washington, DC 20052;
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Albert B. Kao
dDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138;
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Iain D. Couzin
eDepartment of Collective Behaviour, Max Planck Institute for Ornithology, Konstanz D-78457, Germany;
fChair of Biodiversity and Collective Behaviour, Department of Biology, University of Konstanz, Konstanz D-78457, Germany
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Simon Garnier
aDepartment of Biological Sciences, New Jersey Institute of Technology, Newark, NJ 07102;
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  1. Edited by Bert Hölldobler, Arizona State University, Tempe, AZ, and approved October 19, 2015 (received for review June 22, 2015)

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Significance

Complex systems, from ant colonies to stock markets, share a common property: sophisticated group-level structure emerges from simple individual-level behaviors. Using simple interaction rules, Eciton army ants construct complex bridges from their own bodies to span forest-floor gaps. These living bridges are uniquely complex in both their dynamic properties and the number of animals involved and so are of considerable interest for understanding emergent structures in complex systems. In field experiments, we show that construction interacts with traffic rate and environmental geometry, causing bridges to lengthen, widen, and migrate. Bridges provide a shortcut for foraging ants, at the cost of sequestering workers. We show that bridge location represents a cost–benefit trade-off, with potential implications for human engineered self-assembling systems.

Abstract

The ability of individual animals to create functional structures by joining together is rare and confined to the social insects. Army ants (Eciton) form collective assemblages out of their own bodies to perform a variety of functions that benefit the entire colony. Here we examine ‟bridges” of linked individuals that are constructed to span gaps in the colony’s foraging trail. How these living structures adjust themselves to varied and changing conditions remains poorly understood. Our field experiments show that the ants continuously modify their bridges, such that these structures lengthen, widen, and change position in response to traffic levels and environmental geometry. Ants initiate bridges where their path deviates from their incoming direction and move the bridges over time to create shortcuts over large gaps. The final position of the structure depended on the intensity of the traffic and the extent of path deviation and was influenced by a cost–benefit trade-off at the colony level, where the benefit of increased foraging trail efficiency was balanced by the cost of removing workers from the foraging pool to form the structure. To examine this trade-off, we quantified the geometric relationship between costs and benefits revealed by our experiments. We then constructed a model to determine the bridge location that maximized foraging rate, which qualitatively matched the observed movement of bridges. Our results highlight how animal self-assemblages can be dynamically modified in response to a group-level cost–benefit trade-off, without any individual unit’s having information on global benefits or costs.

  • collective behavior
  • self-assembly
  • swarm intelligence
  • self-organization
  • optimization

Footnotes

  • ↵1C.R.R. and M.J.L. contributed equally to this work.

  • ↵2Present address: Insect Behaviour and Ecology Lab, University of Sydney, Sydney 2015, NSW, Australia.

  • ↵3To whom correspondence may be addressed. Email: chrisreidresearch{at}gmail.com or mlutz{at}princeton.edu.
  • Author contributions: C.R.R., M.J.L., S.P., and S.G. designed research; C.R.R. and M.J.L. performed research; C.R.R., M.J.L., A.B.K., and S.G. analyzed data; and C.R.R., M.J.L., S.P., A.B.K., I.D.C., and S.G. wrote the paper.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1512241112/-/DCSupplemental.

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Ant bridges move by cost–benefit trade-off
Chris R. Reid, Matthew J. Lutz, Scott Powell, Albert B. Kao, Iain D. Couzin, Simon Garnier
Proceedings of the National Academy of Sciences Dec 2015, 112 (49) 15113-15118; DOI: 10.1073/pnas.1512241112

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Ant bridges move by cost–benefit trade-off
Chris R. Reid, Matthew J. Lutz, Scott Powell, Albert B. Kao, Iain D. Couzin, Simon Garnier
Proceedings of the National Academy of Sciences Dec 2015, 112 (49) 15113-15118; DOI: 10.1073/pnas.1512241112
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Proceedings of the National Academy of Sciences: 112 (49)
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