Residency and space use estimation methods based on passive acoustic telemetry data

Detalhes bibliográficos
Autor(a) principal: Kraft, Sebastian
Data de Publicação: 2023
Outros Autores: Gandra, Miguel, Lennox, R. J., Mourier, J., Winkler, Alexander, Abecasis, David
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/19378
Resumo: Acoustic telemetry has helped overcome many of the challenges faced when studying the movement ecology of aquatic species, allowing to obtain unprecedented amounts of data. This has made it into one of the most widely used methods nowadays. Many ways to analyse acoustic telemetry data have been made available and deciding on how to analyse the data requires considering the type of research objectives, relevant properties of the data (e.g., resolution, study design, equipment), habits of the study species, researcher experience, among others. To ease this decision process, here we showcase (1) some of the methods used to estimate pseudo-positions and positions from raw acoustic telemetry data, (2) methods to estimate residency and (3) methods to estimate two-dimensional home and occurrence range using geometric or hull-based methods and density-distribution methods, a network-based approach, and three-dimensional methods. We provide examples of some of these were tested using a sample of real data. With this we intend to provide the necessary background for the selection of the method(s) that better fit specific research objectives when using acoustic telemetry.
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spelling Residency and space use estimation methods based on passive acoustic telemetry dataHome rangeRange distributionMovement ecologyBiotelemetryData analysisAcoustic telemetry has helped overcome many of the challenges faced when studying the movement ecology of aquatic species, allowing to obtain unprecedented amounts of data. This has made it into one of the most widely used methods nowadays. Many ways to analyse acoustic telemetry data have been made available and deciding on how to analyse the data requires considering the type of research objectives, relevant properties of the data (e.g., resolution, study design, equipment), habits of the study species, researcher experience, among others. To ease this decision process, here we showcase (1) some of the methods used to estimate pseudo-positions and positions from raw acoustic telemetry data, (2) methods to estimate residency and (3) methods to estimate two-dimensional home and occurrence range using geometric or hull-based methods and density-distribution methods, a network-based approach, and three-dimensional methods. We provide examples of some of these were tested using a sample of real data. With this we intend to provide the necessary background for the selection of the method(s) that better fit specific research objectives when using acoustic telemetry.LCF/BQ/DI20/11780001; POSEUR-03-2215-FC-000047; LA/P/0101/2020;BMCSapientiaKraft, SebastianGandra, MiguelLennox, R. J.Mourier, J.Winkler, AlexanderAbecasis, David2023-04-03T10:25:19Z2023-03-012023-04-02T04:17:33Z2023-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/19378engMovement Ecology. 2023 Mar 01;11(1):1210.1186/s40462-022-00364-z2051-3933info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:31:50Zoai:sapientia.ualg.pt:10400.1/19378Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:09:01.715865Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Residency and space use estimation methods based on passive acoustic telemetry data
title Residency and space use estimation methods based on passive acoustic telemetry data
spellingShingle Residency and space use estimation methods based on passive acoustic telemetry data
Kraft, Sebastian
Home range
Range distribution
Movement ecology
Biotelemetry
Data analysis
title_short Residency and space use estimation methods based on passive acoustic telemetry data
title_full Residency and space use estimation methods based on passive acoustic telemetry data
title_fullStr Residency and space use estimation methods based on passive acoustic telemetry data
title_full_unstemmed Residency and space use estimation methods based on passive acoustic telemetry data
title_sort Residency and space use estimation methods based on passive acoustic telemetry data
author Kraft, Sebastian
author_facet Kraft, Sebastian
Gandra, Miguel
Lennox, R. J.
Mourier, J.
Winkler, Alexander
Abecasis, David
author_role author
author2 Gandra, Miguel
Lennox, R. J.
Mourier, J.
Winkler, Alexander
Abecasis, David
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Kraft, Sebastian
Gandra, Miguel
Lennox, R. J.
Mourier, J.
Winkler, Alexander
Abecasis, David
dc.subject.por.fl_str_mv Home range
Range distribution
Movement ecology
Biotelemetry
Data analysis
topic Home range
Range distribution
Movement ecology
Biotelemetry
Data analysis
description Acoustic telemetry has helped overcome many of the challenges faced when studying the movement ecology of aquatic species, allowing to obtain unprecedented amounts of data. This has made it into one of the most widely used methods nowadays. Many ways to analyse acoustic telemetry data have been made available and deciding on how to analyse the data requires considering the type of research objectives, relevant properties of the data (e.g., resolution, study design, equipment), habits of the study species, researcher experience, among others. To ease this decision process, here we showcase (1) some of the methods used to estimate pseudo-positions and positions from raw acoustic telemetry data, (2) methods to estimate residency and (3) methods to estimate two-dimensional home and occurrence range using geometric or hull-based methods and density-distribution methods, a network-based approach, and three-dimensional methods. We provide examples of some of these were tested using a sample of real data. With this we intend to provide the necessary background for the selection of the method(s) that better fit specific research objectives when using acoustic telemetry.
publishDate 2023
dc.date.none.fl_str_mv 2023-04-03T10:25:19Z
2023-03-01
2023-04-02T04:17:33Z
2023-03-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/19378
url http://hdl.handle.net/10400.1/19378
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Movement Ecology. 2023 Mar 01;11(1):12
10.1186/s40462-022-00364-z
2051-3933
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