Characteristics of daily foraging activity of Camponotus japonicus via time series analysis.

PLoS One

Meiji Institute for Advanced Study of Mathematical Sciences, Meiji University, Nakano, Tokyo Japan.

Published: November 2023

AI Article Synopsis

  • The study analyzed how individual worker ants (Camponotus japonicus) share foraging tasks across five colonies.
  • The researchers proposed two hypotheses about the foraging behavior: (i) that foraging frequency on any given day is influenced by the previous day’s activity and a random number, and (ii) that some worker ants exhibit correlated random patterns in their foraging.
  • The findings indicated that over half of the ants followed a log-normal distribution in their daily passage counts, with a significant portion of foraging tasks being performed by a small percentage of the workers, supporting both proposed hypotheses.

Article Abstract

Social insects often share tasks among individuals. In this study, we analyzed the foraging activity of ants (Camponotus japonicus) and recorded the daily passage event counts of individual workers between a nest chamber and a foraging arena in five monodomous colonies. We proposed two hypotheses on the time series of foraging frequency by individual worker ants as follows: (i) for the time series of foraging frequency by individual worker ants, the foraging frequency on a certain day could be expressed by the product of the foraging frequency on the previous day and the exponential of a random number. (ii) The random numbers are correlated between some pairs of worker ants. The results for the five tested ant colonies showed that the probability of total daily passage counts (the sum of an individual's passage count) followed a log-normal distribution. The worker ants behaved differently in terms of active days and foraging frequency. However, for > 54% of the worker ants, the probability of the daily passage count was characterized by a log-normal distribution, and these worker ants performed > 72% of the tasks in each colony. Furthermore, for > 73% of the worker ants, the time development of the passage count was mathematically modeled; the logarithmic first difference between the passage counts on a certain day and those on the previous day was a random normal variable. These results support hypothesis (i). Additionally, the random numbers that were equivalent to the logarithmic first difference were correlated for some pairs of worker ants. These results support hypothesis (ii).

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653500PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0293455PLOS

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