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Interaction mechanisms quantified from dynamical features of frog choruses

We employ a mathematical model (a phase oscillator model) to describe the deterministic and stochastic features of frog choruses in which male frogs attempt to avoid call overlaps. The mathematical model with a general interaction term is identified using a Bayesian approach, and it qualitatively re...

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Detalles Bibliográficos
Autores principales: Ota, Kaiichiro, Aihara, Ikkyu, Aoyagi, Toshio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137965/
https://www.ncbi.nlm.nih.gov/pubmed/32269798
http://dx.doi.org/10.1098/rsos.191693
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author Ota, Kaiichiro
Aihara, Ikkyu
Aoyagi, Toshio
author_facet Ota, Kaiichiro
Aihara, Ikkyu
Aoyagi, Toshio
author_sort Ota, Kaiichiro
collection PubMed
description We employ a mathematical model (a phase oscillator model) to describe the deterministic and stochastic features of frog choruses in which male frogs attempt to avoid call overlaps. The mathematical model with a general interaction term is identified using a Bayesian approach, and it qualitatively reproduces the stationary and dynamical features of the empirical data. In addition, we quantify the magnitude of attention paid among the male frogs from the identified model, and then analyse the relationship between attention and behavioural parameters using a statistical approach. Our analysis demonstrates a negative correlation between attention and inter-frog distance, and also suggests a behavioural strategy in which male frogs selectively attend to a less attractive male frog (i.e. a male producing calls at longer intervals) in order to more effectively advertise their superior relative attractiveness to females.
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spelling pubmed-71379652020-04-08 Interaction mechanisms quantified from dynamical features of frog choruses Ota, Kaiichiro Aihara, Ikkyu Aoyagi, Toshio R Soc Open Sci Ecology, Conservation, and Global Change Biology We employ a mathematical model (a phase oscillator model) to describe the deterministic and stochastic features of frog choruses in which male frogs attempt to avoid call overlaps. The mathematical model with a general interaction term is identified using a Bayesian approach, and it qualitatively reproduces the stationary and dynamical features of the empirical data. In addition, we quantify the magnitude of attention paid among the male frogs from the identified model, and then analyse the relationship between attention and behavioural parameters using a statistical approach. Our analysis demonstrates a negative correlation between attention and inter-frog distance, and also suggests a behavioural strategy in which male frogs selectively attend to a less attractive male frog (i.e. a male producing calls at longer intervals) in order to more effectively advertise their superior relative attractiveness to females. The Royal Society 2020-03-18 /pmc/articles/PMC7137965/ /pubmed/32269798 http://dx.doi.org/10.1098/rsos.191693 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Ecology, Conservation, and Global Change Biology
Ota, Kaiichiro
Aihara, Ikkyu
Aoyagi, Toshio
Interaction mechanisms quantified from dynamical features of frog choruses
title Interaction mechanisms quantified from dynamical features of frog choruses
title_full Interaction mechanisms quantified from dynamical features of frog choruses
title_fullStr Interaction mechanisms quantified from dynamical features of frog choruses
title_full_unstemmed Interaction mechanisms quantified from dynamical features of frog choruses
title_short Interaction mechanisms quantified from dynamical features of frog choruses
title_sort interaction mechanisms quantified from dynamical features of frog choruses
topic Ecology, Conservation, and Global Change Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137965/
https://www.ncbi.nlm.nih.gov/pubmed/32269798
http://dx.doi.org/10.1098/rsos.191693
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