Revealing chronotypes across aquatic species using acoustic telemetry

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F25%3A00646952" target="_blank" >RIV/60077344:_____/25:00646952 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1111/faf.70022" target="_blank" >https://doi.org/10.1111/faf.70022</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/faf.70022" target="_blank" >10.1111/faf.70022</a>

Result language

angličtina

Original language name

Revealing chronotypes across aquatic species using acoustic telemetry

Original language description

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.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10618 - Ecology

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Fish and Fisheries

ISSN

1467-2960

e-ISSN

1467-2979

Volume of the periodical

26

Issue of the periodical within the volume

6

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

1134-1145

UT code for WoS article

001574904400001

EID of the result in the Scopus database

2-s2.0-105016715074