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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.
Chandrasekhar, A., Marshall, J. A. R., Austin, C., Navlakha, S., & Gordon, D. M. (2021). Better tired than lost: Turtle ant trail networks favor coherence over short edges. PLOS Computational Biology, 17(10), e1009523. https://doi.org/10.1371/journal.pcbi.1009523
PLoS Computational Biology
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© 2021 Chandrasekhar et al.
This article was originally published in PLoS Computational Biology. The full-text article from the publisher can be found here.