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Recurrence analysis of ant activity patterns
In this study, we used recurrence quantification analysis (RQA) and recurrence plots (RPs) to compare the movement activity of individual workers of three ant species, as well as a gregarious beetle species. RQA and RPs quantify the number and duration of recurrences of a dynamical system, including...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5633173/ https://www.ncbi.nlm.nih.gov/pubmed/29016648 http://dx.doi.org/10.1371/journal.pone.0185968 |
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author | Neves, Felipe Marcel Viana, Ricardo Luiz Pie, Marcio Roberto |
author_facet | Neves, Felipe Marcel Viana, Ricardo Luiz Pie, Marcio Roberto |
author_sort | Neves, Felipe Marcel |
collection | PubMed |
description | In this study, we used recurrence quantification analysis (RQA) and recurrence plots (RPs) to compare the movement activity of individual workers of three ant species, as well as a gregarious beetle species. RQA and RPs quantify the number and duration of recurrences of a dynamical system, including a detailed quantification of signals that could be stochastic, deterministic, or both. First, we found substantial differences between the activity dynamics of beetles and ants, with the results suggesting that the beetles have quasi-periodic dynamics and the ants do not. Second, workers from different ant species varied with respect to their dynamics, presenting degrees of predictability as well as stochastic signals. Finally, differences were found among minor and major caste of the same (dimorphic) ant species. Our results underscore the potential of RQA and RPs in the analysis of complex behavioral patterns, as well as in general inferences on animal behavior and other biological phenomena. |
format | Online Article Text |
id | pubmed-5633173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56331732017-10-30 Recurrence analysis of ant activity patterns Neves, Felipe Marcel Viana, Ricardo Luiz Pie, Marcio Roberto PLoS One Research Article In this study, we used recurrence quantification analysis (RQA) and recurrence plots (RPs) to compare the movement activity of individual workers of three ant species, as well as a gregarious beetle species. RQA and RPs quantify the number and duration of recurrences of a dynamical system, including a detailed quantification of signals that could be stochastic, deterministic, or both. First, we found substantial differences between the activity dynamics of beetles and ants, with the results suggesting that the beetles have quasi-periodic dynamics and the ants do not. Second, workers from different ant species varied with respect to their dynamics, presenting degrees of predictability as well as stochastic signals. Finally, differences were found among minor and major caste of the same (dimorphic) ant species. Our results underscore the potential of RQA and RPs in the analysis of complex behavioral patterns, as well as in general inferences on animal behavior and other biological phenomena. Public Library of Science 2017-10-09 /pmc/articles/PMC5633173/ /pubmed/29016648 http://dx.doi.org/10.1371/journal.pone.0185968 Text en © 2017 Neves et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Neves, Felipe Marcel Viana, Ricardo Luiz Pie, Marcio Roberto Recurrence analysis of ant activity patterns |
title | Recurrence analysis of ant activity patterns |
title_full | Recurrence analysis of ant activity patterns |
title_fullStr | Recurrence analysis of ant activity patterns |
title_full_unstemmed | Recurrence analysis of ant activity patterns |
title_short | Recurrence analysis of ant activity patterns |
title_sort | recurrence analysis of ant activity patterns |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5633173/ https://www.ncbi.nlm.nih.gov/pubmed/29016648 http://dx.doi.org/10.1371/journal.pone.0185968 |
work_keys_str_mv | AT nevesfelipemarcel recurrenceanalysisofantactivitypatterns AT vianaricardoluiz recurrenceanalysisofantactivitypatterns AT piemarcioroberto recurrenceanalysisofantactivitypatterns |