A quantitative analysis of pulsed signals emitted by wild bottlenose dolphinsof Pulsed Signals Emitted by Wild Bottlenose Dolphins
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Outros Autores: | , |
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. |
id |
RCAP_e77d4f6ceb04ef709a21c14ef752a571 |
---|---|
oai_identifier_str |
oai:repositorio.ispa.pt:10400.12/7698 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1817553539062300672 |