Skip to main content
Log in

Decentralized communication, trail connectivity and emergent benefits of ant pheromone trail networks

  • Regular Research Paper
  • Published:
Memetic Computing Aims and scope Submit manuscript

Abstract

Communication improves decision-making for group-living animals, especially during foraging, facilitating exploitation of resources. Here we model the trail-based foraging strategy of Pharaoh’s ants to understand the limits and constraints of a specific group foraging strategy. To minimise assumptions we used model parameters acquired through behavioural study. Pharaoh’s ants (Monomorium pharaonis) exploit the geometry of trail networks bifurcations to make U-turns, if they are walking the wrong way. However, 7% of foragers perform apparently incorrect U-turns. These seemingly maladaptive U-turns are performed by a consistent minority of specialist U-turners that make frequent U-turns on trails and lay trail pheromones much more frequently compared to the rest of the colony. Our study shows a key role for U-turning ants in maintaining the connectivity of pheromone trails. We produced an agent-based model of a heterogeneous ant community where 7% of agents were specialised frequent U-turners whilst the remaining 93% rarely U-turned. Simulations showed that heterogeneous colonies enjoyed significantly greater success at foraging for distant food resources compared to behaviourally homogeneous colonies. The presence of a cohort of specialised trail-layers maintains a well-connected network of trails which ensures that food discoveries are rapidly linked back to the nest. This decentralised information transfer might ensure that foragers can respond to dynamic changes in food distribution, thereby allowing more individuals in a group to benefit by successfully locating food finds.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Acosta FJ, Lopez F, Serrano JM (1993) Branching angles of ant trunk trails as an optimization cue. J Theor Biol 160: 297–310

    Article  Google Scholar 

  2. Beckers R, Deneubourg JL, Goss S (1992) Trails and U-turns in the selection of a path by the ant Lasius niger. J Theor Biol 159: 397–415

    Article  Google Scholar 

  3. Beekman M, Sumpter DJT, Ratnieks FLW (2001) Phase transition between disordered and ordered foraging in Pharaoh’s ants. Proc Natl Acad Sci USA 98: 9703–9706

    Article  Google Scholar 

  4. Camazine S, Deneubourg J, Franks NR, Sneyd J, Theraulaz G, Bonabeau E (2001) Self-organization in biological systems. Princeton University Press, Princeton

    Google Scholar 

  5. Dall SRX, Giraldeau L, Olsson O, McNamara JM, Stephens DW (2005) Information and its use by animals in evolutionary ecology. Trends Ecol Evol 20: 187–193

    Article  Google Scholar 

  6. Danchin E, Giraldeau L, Valone TJ, Wagner RH (2004) Public information: from nosy neighbours to cultural evolution. Science 304: 487–491

    Article  Google Scholar 

  7. DeAngelis DL, Rose KA, Huston MA (1994) Individual-oriented approaches to modelling ecological populations and communities. In: Levin SA (eds) Front Math Biol. Springer, Berlin, pp 390–410

    Google Scholar 

  8. Dechaume-Moncharmont F, Dornhaus A, Houston AI, McNamara JM, Collins EJ, Franks NR (2005) The hidden costs of information in collective foraging. Proc Roy Soc B 272: 1689–1695

    Article  Google Scholar 

  9. Dorigo M, Di Caro G, Gambardella LM (1999) Ant algorithms for discrete optimisation. Artif Life 5: 137–172

    Article  Google Scholar 

  10. Edelstein-Keshet L, Watmough J, Ermentrout GB (1995) Trail following in ants: individual properties determine population behaviour. Behav Ecol Sociobiol 36: 119–133

    Article  Google Scholar 

  11. Ermentrout GB, Edelstein-Keshet L (1993) Cellular automata approaches to biological modelling. J Theor Biol 160: 97–133

    Article  Google Scholar 

  12. Fahse L, Wissel C, Grimm V (1998) Reconciling classical and individual-based approaches in theoretical population ecology. Am Nat 152: 838–852

    Article  Google Scholar 

  13. Fourcassié V, Deneubourg JL (1994) The dynamics of collective exploration and trail-formation in Monomorium pharaonis: experiments and model. Physiol Entomol 19: 291–300

    Article  Google Scholar 

  14. Grimm V (1999) Ten years of individual-based modelling in ecology: what have we learned and what could we learn in the future?. Ecol Model 115: 129–148

    Article  Google Scholar 

  15. Hart AG, Jackson DE (2006) U-turns on ant trails. Curr Biol 16: R42–43

    Article  Google Scholar 

  16. Holcombe M (1988) X-machines as a basis for dynamic system specification. Software Eng J 3: 69–76

    Article  Google Scholar 

  17. Hölldobler B, Wilson E0 (1990) The Ants. The Belknap Press of Harvard University, Cambridge

    Google Scholar 

  18. Jackson DE, Ratnieks FLW (2006) Communication in ants. Curr Biol 16: 570–574

    Article  Google Scholar 

  19. Jackson DE, Holcombe M, Ratnieks FLW (2004) Trail geometry gives polarity to ant foraging networks. Nature 432: 907–909

    Article  Google Scholar 

  20. Jackson DE, Martin S, Holcombe M, Ratnieks FLW (2006) Longevity and detection of persistent foraging trails in Pharaoh’s ants, Monomorium pharaonis. Anim Behav 71: 351–359

    Article  Google Scholar 

  21. Kaiser H (1979) The dynamics of populations as a result of the properties of individual animals. Forts Zool 25: 109–136

    Google Scholar 

  22. Krause J, Ruxton GD (2002) Living in groups. Oxford University Press, Oxford

    Google Scholar 

  23. Krebs JR, Davies NB (1997) Behavioural ecology, 4th edn. Blackwell, Oxford

    Google Scholar 

  24. Lugo AE, Farnworth EG, Pool D, Jerez P, Kaufman G (1973) The impact of the leaf cutter Atta colombica on the energy flow of a tropical wet forest. Ecology 54: 1292–1301

    Article  Google Scholar 

  25. Meuth R, Lim MH, Ong YS, Wunsch DC (2009) A proposition on memes and meta-memes in computing for higher-order learning. Memetic Comput J 1: 85–100

    Article  Google Scholar 

  26. Peacock AD, Sudd JH, Baxter AT (1955) Studies in Pharaoh’s ant, Monomorium pharaonis II. Dissemination. Entomol Mag 91: 130–133

    Google Scholar 

  27. Schweitzer F, Lao K, Family F (1997) Active Random walkers simulate trunk trail formation by ants. Biosystems 41: 153–166

    Article  Google Scholar 

  28. Sudd JH (1960) The foraging method of Pharaoh’s ant, Monomorium pharaonis. Anim Behav 8: 67–75

    Article  Google Scholar 

  29. Solé RV, Bonabeau E, Delgado J, Fernandez P, Marin J (2001) Pattern formation and optimization in army ant raids. Artif Life 6: 219–226

    Article  Google Scholar 

  30. Vincent AD, Myerscough MR (2004) The effect of a non-uniform turning kernel on ant trail morphology. J Math Biol 49: 391–432

    Article  MATH  MathSciNet  Google Scholar 

  31. Ward P, Zahavi A (1973) The importance of certain assemblages of birds as “information centres” for food finding. Ibis 119: 517–534

    Google Scholar 

  32. Wilson EO (1962) Chemical communication among workers of the fire ant, Solenopsis saevissima. I. The organisation of mass foraging. Anim Behav 10: 134–164

    Article  Google Scholar 

  33. Wilson EO (1971) The insect societies. Belknap Press of Harvard, Cambridge

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Duncan E. Jackson.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jackson, D.E., Bicak, M. & Holcombe, M. Decentralized communication, trail connectivity and emergent benefits of ant pheromone trail networks. Memetic Comp. 3, 25–32 (2011). https://doi.org/10.1007/s12293-010-0039-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12293-010-0039-2

Keywords

Navigation