Inferring activity patterns of aquatic animals from single-receiver acoustic telemetry setups

14 pages, 4 figures, 3 tables

Bibliographic Details
Authors: Aspillaga, Eneko, Alós, Josep, Catalán, Ignacio Alberto, Moltó, Vicenç, Abad-Platas, Jordi, Villegas-Ríos, David
Format: article
Status:Published version
Publication Date:2025
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/416072
Online Access:http://hdl.handle.net/10261/416072
Access Level:Open access
Keyword:Acoustic telemetry
Behavioural states
Fish behaviour
Movement ecology
Open protocol
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oai_identifier_str oai:digital.csic.es:10261/416072
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Inferring activity patterns of aquatic animals from single-receiver acoustic telemetry setups
title Inferring activity patterns of aquatic animals from single-receiver acoustic telemetry setups
spellingShingle Inferring activity patterns of aquatic animals from single-receiver acoustic telemetry setups
Aspillaga, Eneko
Acoustic telemetry
Behavioural states
Fish behaviour
Movement ecology
Open protocol
title_short Inferring activity patterns of aquatic animals from single-receiver acoustic telemetry setups
title_full Inferring activity patterns of aquatic animals from single-receiver acoustic telemetry setups
title_fullStr Inferring activity patterns of aquatic animals from single-receiver acoustic telemetry setups
title_full_unstemmed Inferring activity patterns of aquatic animals from single-receiver acoustic telemetry setups
title_sort Inferring activity patterns of aquatic animals from single-receiver acoustic telemetry setups
dc.creator.none.fl_str_mv Aspillaga, Eneko
Alós, Josep
Catalán, Ignacio Alberto
Moltó, Vicenç
Abad-Platas, Jordi
Villegas-Ríos, David
author Aspillaga, Eneko
author_facet Aspillaga, Eneko
Alós, Josep
Catalán, Ignacio Alberto
Moltó, Vicenç
Abad-Platas, Jordi
Villegas-Ríos, David
author_role author
author2 Alós, Josep
Catalán, Ignacio Alberto
Moltó, Vicenç
Abad-Platas, Jordi
Villegas-Ríos, David
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Govern de les Illes Balears
European Commission
Interreg POCTEP
Ministerio de Ciencia, Innovación y Universidades (España)
Ministerio de Ciencia e Innovación (España)
Xunta de Galicia
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Acoustic telemetry
Behavioural states
Fish behaviour
Movement ecology
Open protocol
topic Acoustic telemetry
Behavioural states
Fish behaviour
Movement ecology
Open protocol
description 14 pages, 4 figures, 3 tables
publishDate 2025
dc.date.none.fl_str_mv 2025
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/416072
url http://hdl.handle.net/10261/416072
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139349OB-I00
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2021-001198
Aspillaga, E., Alós, J., Catalán, I. A., Moltó, V., Abad-Platas, J., & Villegas-Ríos, D. (2025). TOA-based activity estimation from acoustic telemetry data (1.0). Zenodo. https://doi.org/10.5281/zenodo.17237354. http://hdl.handle.net/10261/416106
https://doi.org/10.1111/2041-210X.70174
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv British Ecological Society
publisher.none.fl_str_mv British Ecological Society
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Inferring activity patterns of aquatic animals from single-receiver acoustic telemetry setupsAspillaga, EnekoAlós, JosepCatalán, Ignacio AlbertoMoltó, VicençAbad-Platas, JordiVillegas-Ríos, DavidAcoustic telemetryBehavioural statesFish behaviourMovement ecologyOpen protocol14 pages, 4 figures, 3 tablesAcoustic telemetry has become an essential tool for studying activity patterns of animals in aquatic environments. Activity is typically recorded using transmitters with integrated sensors or dense receiver arrays for positional tracking. While effective, these approaches are financially and logistically expensive due to the need for advanced transmitters or a large number of acoustic receivers. This study presents a novel methodology to quantify activity patterns from single-receiver acoustic telemetry setups. Our method extracts the time of arrival (TOA) of acoustic signals and estimates the relative distance between the individual and the receiver. By examining variations in TOA-based distances, movement parameters such as step lengths can be calculated, which can then be used to classify behavioural states through hidden Markov models or other statistical approaches. We validated our approach through a positioning test and demonstrated its effectiveness in inferring behavioural states across multiple species by analysing six acoustic telemetry datasets. The validation also included a comparison between TOA-based distances in multiple receivers and a positioned telemetry dataset. Our method proved to be effective in estimating the distance between transmitters and single receivers, as well as characterising the activity patterns of the analysed species. It is particularly effective for species with certain site fidelity, where movement relative to a fixed receiver can provide significant insights into activity patterns. The method can also be applied in analysis workflows to check post-tagging or natural mortality by identifying stationary transmitters. By providing a cost-efficient method, this approach will enable detailed behavioural studies in a wide range of species and contexts, leveraging minimum equipment availabilityThe Balearic Tracking Network acoustic telemetry array was supported by the COREMAR project (BIO011B-5819/23), funded by the Government of the Balearic Islands and the European Union (PRTR, NextGenerationEU). Tagging of common dolphinfish was funded by the CORYTRACK project (CTA070.003, MAVA Grants, Marine Stewardship Council). The Cíes Archipelago acoustic telemetry array and the tagging of the undulate skate were supported by the ATLAZUL project (0755_ATLAZUL_6_E) co-funded by the European Regional Development Fund (ERDF) through the Interreg V-A Spain–Portugal Program (POCTEP) 2014–2020. This work was also developed with the support of the Program of Marine Sciences of Galicia as part of the Complementary Plans of Science of the Spanish Ministry of Science and Innovation included in the Recovery Plan of Transformation and Resilience (PRTRC17.I1), funded by the Xunta de Galicia through the NextGenerationEU and the European Maritime, Fisheries and Aquaculture Fund (EMFAF). Eneko Aspillaga was supported by a Vicenç Mut postdoctoral grant (PD/041/2021) funded by the Government of the Balearic Islands. David Villegas-Ríos was supported by a Ramón y Cajal Contract (RYC2021-032594-I) funded by the Spanish Ministry of Science, Innovation and Universities MCIN/AEI/10.13039/501100011033 and the European Union NextGeneration EU/PRTR. Josep Alós received funding from the METARAOR Project (PID2022-139349OB-I00) funded by MCIN/AEI/10.13039/501100011033/FEDER, UE. Vicenç Moltó was supported by a Horizon Europe Marie Skłodowska Curie Action (Postdoctoral Fellowship, project number 101153501), funded by the European Union. IMEDEA is an accredited ‘María de Maeztu Unit of Excellence’ (Grant CEX2021-001198, funded by MICIU/AEI/10.13039/501100011033)Peer reviewedBritish Ecological SocietyGovern de les Illes BalearsEuropean CommissionInterreg POCTEPMinisterio de Ciencia, Innovación y Universidades (España)Ministerio de Ciencia e Innovación (España)Xunta de GaliciaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/416072reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139349OB-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2021-001198Aspillaga, E., Alós, J., Catalán, I. A., Moltó, V., Abad-Platas, J., & Villegas-Ríos, D. (2025). TOA-based activity estimation from acoustic telemetry data (1.0). Zenodo. https://doi.org/10.5281/zenodo.17237354. http://hdl.handle.net/10261/416106https://doi.org/10.1111/2041-210X.70174Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4160722026-05-22T06:33:51Z
score 15,198674

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