A quantitative analysis of pulsed signals emitted by wild bottlenose dolphinsof Pulsed Signals Emitted by Wild Bottlenose Dolphins

Detalhes bibliográficos
Autor(a) principal: Luís, A. R.
Data de Publicação: 2016
Outros Autores: Couchinho, Miguel N., Santos, Manuel Eduardop dos Santosdos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.12/7698
Resumo: Common bottlenose dolphins (Tursiops truncatus), produce a wide variety of vocal emissions for communication and echolocation, of which the pulsed repertoire has been the most difficult to categorize. Packets of high repetition, broadband pulses are still largely reported under a general designation of burst-pulses, and traditional attempts to classify these emissions rely mainly in their aural characteristics and in graphical aspects of spectrograms. Here, we present a quantitative analysis of pulsed signals emitted by wild bottlenose dolphins, in the Sado estuary, Portugal (2011-2014), and test the reliability of a traditional classification approach. Acoustic parameters (minimum frequency, maximum frequency, peak frequency, duration, repetition rate and inter-click-interval) were extracted from 930 pulsed signals, previously categorized using a traditional approach. Discriminant function analysis revealed a high reliability of the traditional classification approach (93.5% of pulsed signals were consistently assigned to their aurally based categories). According to the discriminant function analysis (Wilk's Λ = 0.11, F3, 2.41 = 282.75, P < 0.001), repetition rate is the feature that best enables the discrimination of different pulsed signals (structure coefficient = 0.98). Classification using hierarchical cluster analysis led to a similar categorization pattern: two main signal types with distinct magnitudes of repetition rate were clustered into five groups. The pulsed signals, here described, present significant differences in their time-frequency features, especially repetition rate (P < 0.001), inter-click-interval (P < 0.001) and duration (P < 0.001). We document the occurrence of a distinct signal type-short burst-pulses, and highlight the existence of a diverse repertoire of pulsed vocalizations emitted in graded sequences. The use of quantitative analysis of pulsed signals is essential to improve classifications and to better assess the contexts of emission, geographic variation and the functional significance of pulsed signals.
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spelling A quantitative analysis of pulsed signals emitted by wild bottlenose dolphinsof Pulsed Signals Emitted by Wild Bottlenose DolphinsAcousticsAnimalsBottle-nosed DolphinCluster analysisDiscriminant analysisEstuariesPortugalReproducibility of resultsSound spectrographyTime factorsVocalizationAnimalEcholocationCommon bottlenose dolphins (Tursiops truncatus), produce a wide variety of vocal emissions for communication and echolocation, of which the pulsed repertoire has been the most difficult to categorize. Packets of high repetition, broadband pulses are still largely reported under a general designation of burst-pulses, and traditional attempts to classify these emissions rely mainly in their aural characteristics and in graphical aspects of spectrograms. Here, we present a quantitative analysis of pulsed signals emitted by wild bottlenose dolphins, in the Sado estuary, Portugal (2011-2014), and test the reliability of a traditional classification approach. Acoustic parameters (minimum frequency, maximum frequency, peak frequency, duration, repetition rate and inter-click-interval) were extracted from 930 pulsed signals, previously categorized using a traditional approach. Discriminant function analysis revealed a high reliability of the traditional classification approach (93.5% of pulsed signals were consistently assigned to their aurally based categories). According to the discriminant function analysis (Wilk's Λ = 0.11, F3, 2.41 = 282.75, P < 0.001), repetition rate is the feature that best enables the discrimination of different pulsed signals (structure coefficient = 0.98). Classification using hierarchical cluster analysis led to a similar categorization pattern: two main signal types with distinct magnitudes of repetition rate were clustered into five groups. The pulsed signals, here described, present significant differences in their time-frequency features, especially repetition rate (P < 0.001), inter-click-interval (P < 0.001) and duration (P < 0.001). We document the occurrence of a distinct signal type-short burst-pulses, and highlight the existence of a diverse repertoire of pulsed vocalizations emitted in graded sequences. The use of quantitative analysis of pulsed signals is essential to improve classifications and to better assess the contexts of emission, geographic variation and the functional significance of pulsed signals.PLOS oneRepositório do ISPALuís, A. R.Couchinho, Miguel N.Santos, Manuel Eduardop dos Santosdos2020-07-10T16:07:17Z2016-07-06T00:00:00Z2016-07-06T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.12/7698engPLoS ONE 11 (7): e0157781.1932-620310.1371/journal.pone.0157781info: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:RCAAP2022-09-05T16:43:26Zoai:repositorio.ispa.pt:10400.12/7698Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:25:32.732959Repositório 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 A quantitative analysis of pulsed signals emitted by wild bottlenose dolphinsof Pulsed Signals Emitted by Wild Bottlenose Dolphins
title A quantitative analysis of pulsed signals emitted by wild bottlenose dolphinsof Pulsed Signals Emitted by Wild Bottlenose Dolphins
spellingShingle A quantitative analysis of pulsed signals emitted by wild bottlenose dolphinsof Pulsed Signals Emitted by Wild Bottlenose Dolphins
Luís, A. R.
Acoustics
Animals
Bottle-nosed Dolphin
Cluster analysis
Discriminant analysis
Estuaries
Portugal
Reproducibility of results
Sound spectrography
Time factors
Vocalization
Animal
Echolocation
title_short A quantitative analysis of pulsed signals emitted by wild bottlenose dolphinsof Pulsed Signals Emitted by Wild Bottlenose Dolphins
title_full A quantitative analysis of pulsed signals emitted by wild bottlenose dolphinsof Pulsed Signals Emitted by Wild Bottlenose Dolphins
title_fullStr A quantitative analysis of pulsed signals emitted by wild bottlenose dolphinsof Pulsed Signals Emitted by Wild Bottlenose Dolphins
title_full_unstemmed A quantitative analysis of pulsed signals emitted by wild bottlenose dolphinsof Pulsed Signals Emitted by Wild Bottlenose Dolphins
title_sort A quantitative analysis of pulsed signals emitted by wild bottlenose dolphinsof Pulsed Signals Emitted by Wild Bottlenose Dolphins
author Luís, A. R.
author_facet Luís, A. R.
Couchinho, Miguel N.
Santos, Manuel Eduardop dos Santosdos
author_role author
author2 Couchinho, Miguel N.
Santos, Manuel Eduardop dos Santosdos
author2_role author
author
dc.contributor.none.fl_str_mv Repositório do ISPA
dc.contributor.author.fl_str_mv Luís, A. R.
Couchinho, Miguel N.
Santos, Manuel Eduardop dos Santosdos
dc.subject.por.fl_str_mv Acoustics
Animals
Bottle-nosed Dolphin
Cluster analysis
Discriminant analysis
Estuaries
Portugal
Reproducibility of results
Sound spectrography
Time factors
Vocalization
Animal
Echolocation
topic Acoustics
Animals
Bottle-nosed Dolphin
Cluster analysis
Discriminant analysis
Estuaries
Portugal
Reproducibility of results
Sound spectrography
Time factors
Vocalization
Animal
Echolocation
description Common bottlenose dolphins (Tursiops truncatus), produce a wide variety of vocal emissions for communication and echolocation, of which the pulsed repertoire has been the most difficult to categorize. Packets of high repetition, broadband pulses are still largely reported under a general designation of burst-pulses, and traditional attempts to classify these emissions rely mainly in their aural characteristics and in graphical aspects of spectrograms. Here, we present a quantitative analysis of pulsed signals emitted by wild bottlenose dolphins, in the Sado estuary, Portugal (2011-2014), and test the reliability of a traditional classification approach. Acoustic parameters (minimum frequency, maximum frequency, peak frequency, duration, repetition rate and inter-click-interval) were extracted from 930 pulsed signals, previously categorized using a traditional approach. Discriminant function analysis revealed a high reliability of the traditional classification approach (93.5% of pulsed signals were consistently assigned to their aurally based categories). According to the discriminant function analysis (Wilk's Λ = 0.11, F3, 2.41 = 282.75, P < 0.001), repetition rate is the feature that best enables the discrimination of different pulsed signals (structure coefficient = 0.98). Classification using hierarchical cluster analysis led to a similar categorization pattern: two main signal types with distinct magnitudes of repetition rate were clustered into five groups. The pulsed signals, here described, present significant differences in their time-frequency features, especially repetition rate (P < 0.001), inter-click-interval (P < 0.001) and duration (P < 0.001). We document the occurrence of a distinct signal type-short burst-pulses, and highlight the existence of a diverse repertoire of pulsed vocalizations emitted in graded sequences. The use of quantitative analysis of pulsed signals is essential to improve classifications and to better assess the contexts of emission, geographic variation and the functional significance of pulsed signals.
publishDate 2016
dc.date.none.fl_str_mv 2016-07-06T00:00:00Z
2016-07-06T00:00:00Z
2020-07-10T16:07:17Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.12/7698
url http://hdl.handle.net/10400.12/7698
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv PLoS ONE 11 (7): e0157781.
1932-6203
10.1371/journal.pone.0157781
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv PLOS one
publisher.none.fl_str_mv PLOS one
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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