Revealing Chronotypes Across Aquatic Species Using Acoustic Telemetry
Details
| Number of pages | 12 |
|---|---|
| Volume | 26 |
| Magazine issue | 6 |
| Pages (to-from) | 1134-1145 |
| Type | A1: Web of Science-article |
| Category | Research |
| Magazine | Fish and Fisheries |
| Language | English |
Bibtex
@misc{f9b3de24-8b33-4b58-936d-8523261c094f,
title = "Revealing Chronotypes Across Aquatic Species Using Acoustic Telemetry",
abstract = "ABSTRACT Acoustic telemetry offers valuable opportunities to investigate individual variability in circadian-related and other behaviours and how environmental cues shape these patterns in wild fish populations. However, this potential has not yet been fully exploited. We conducted a meta-analysis on 44 datasets from 34 distinct marine and freshwater species and different types of data (acoustic detections, depth, acceleration and positioning). Our aim was to explore the potential of acoustic telemetry in identifying chronotypes as consistent among-individual differences in circadian-related behaviours. First, we applied hidden semi-Markov models to classify individual time series into active and rest states. Subsequently, we computed two classical circadian-related behavioural traits: awakening time (as the activity onset) and rest onset (as the activity offset). Subsequently, we identified distinct phenotypes by decomposing behavioural variation into within- and among-individual components based on repeatability scores. We found evidence of distinct chronotypes in 17 species, with average repeatability scores of 0.52 for awakening time and 0.43 for rest onset, revealing that chronotypes are common in aquatic species. Our findings highlight that both the data type, particularly acceleration sensors, and the number of detections are effective tools for exploring chronotypes. Our study proposes a novel approach to characterising daily activity patterns in aquatic species, predominantly in fishes, and provides guidelines for investigating chronotypes across diverse taxa. We emphasise the promise of biotelemetry and advanced statistical models for improving our understanding of the behaviour of aquatic species and highlight the value of synthesising across large data sets collected in networks of biotelemetryprojects.",
author = "Martina Martorell-Barceló and David Abecasis and Mourad Akaarir and Alexandre Alonso-Fernández and Robert Arlinghaus and Eneko Aspillaga and Margarida Barcelo-Serra and Niels W. P. Brevé and Jan Grimsrud Davidsen and Antoni Gamundí and Amalia Grau and Bernat Hereu and Ivan Jarić and Andrzej Kapusta and Sue Lowerre-Barbieri and Christopher T. Monk and Anja K. Nickel and María C. Nicolau and Guðbjörg Á. Ólafsdóttir and Esben M. Olsen and Renanel Pickholtz and Marie Prchalova and Jan Reubens and Milan Riha and Inge van der Knaap and Pieterjan Verhelst and David Villegas-Rios and Josep Alos",
year = "2025",
month = sep,
day = "21",
doi = "https://doi.org/10.1111/faf.70022",
language = "English",
publisher = "Instituut voor Natuur- en Bosonderzoek",
address = "Belgium,
type = "Other"
}
Authors
Martina Martorell-BarcelóDavid Abecasis
Mourad Akaarir
Alexandre Alonso-Fernández
Robert Arlinghaus
Eneko Aspillaga
Margarida Barcelo-Serra
Niels W. P. Brevé
Jan Grimsrud Davidsen
Antoni Gamundí
Amalia Grau
Bernat Hereu
Ivan Jarić
Andrzej Kapusta
Sue Lowerre-Barbieri
Christopher T. Monk
Anja K. Nickel
María C. Nicolau
Guðbjörg Á. Ólafsdóttir
Esben M. Olsen
Renanel Pickholtz
Marie Prchalova
Jan Reubens
Milan Riha
Inge van der Knaap
Pieterjan Verhelst
David Villegas-Rios
Josep Alos