Better tired than lost: Turtle ant trail networks favor coherence over short edges

PLoS Comput Biol. 2021 Oct 21;17(10):e1009523. doi: 10.1371/journal.pcbi.1009523. eCollection 2021 Oct.

Abstract

Creating a routing backbone is a fundamental problem in both biology and engineering. The routing backbone of the trail networks of arboreal turtle ants (Cephalotes goniodontus) connects many nests and food sources using trail pheromone deposited by ants as they walk. Unlike species that forage on the ground, the trail networks of arboreal ants are constrained by the vegetation. We examined what objectives the trail networks meet by comparing the observed ant trail networks with networks of random, hypothetical trail networks in the same surrounding vegetation and with trails optimized for four objectives: minimizing path length, minimizing average edge length, minimizing number of nodes, and minimizing opportunities to get lost. The ants' trails minimized path length by minimizing the number of nodes traversed rather than choosing short edges. In addition, the ants' trails reduced the opportunity for ants to get lost at each node, favoring nodes with 3D configurations most likely to be reinforced by pheromone. Thus, rather than finding the shortest edges, turtle ant trail networks take advantage of natural variation in the environment to favor coherence, keeping the ants together on the trails.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms
  • Animals
  • Ants / physiology*
  • Behavior, Animal / physiology*
  • Computational Biology
  • Feeding Behavior / physiology
  • Models, Biological*
  • Pheromones
  • Walking / physiology*

Substances

  • Pheromones

Grants and funding

The work was supported by a grant from the CISCO Research Fund to DMG, National Science Foundation under award CAREER DBI-1846554 to SN, funding from Chapman Foundations Management, LLC, to AC, by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement number 647704 to JARM), and a grant from the National Science Foundation under award 1559447 to Daniel Beck that supported field work for CA. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.