Is it possible to estimate the population density of mussels based on their acoustic activity?

Detalhes bibliográficos
Autor(a) principal: Melo Junior, Ubirajara Gonçalves
Data de Publicação: 2019
Outros Autores: Xavier, Fabio Contrera, Campbell, Daniel, Fagundes Netto, Eduardo Barros, Biofouling, Benthic Ecology and Marine Biotechnology Meeting, 013., 2019, Arraial do Cabo (RJ)
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB)
Texto Completo: http://www.repositorio.mar.mil.br/handle/ripcmb/844552
Resumo: Several studies suggested that the species sensibility to the water features might affect its acoustic signaling pattern and indicate environmental changes. Although widely studied, the bivalves have few investigations about the acoustic detection and its role in the soundscape ecology of environments that these organisms inhabit. This study aims to analyze the variation of the acoustic activity rate emitted by the mussel Perna perna regarding the sample densities of the population. Six treatments were defined, divided in two groups of three, containing 10, 40 and 80 individuals each. In the first group the mussel signals were recorded with the totally submerged (TS) individuals and in the second the mussels were kept partially submerged (PS). The acquisition time of the signal was 10 minutes per treatment, and each treatment was recorded eight times, totaling eight hours of recordings. The recordings occured in a tank with acoustic insulation, built for this study. In the end of the recordings, 4,344 selections of bivalve acoustic activities were performed. Mussels from TS treatment had a lower acoustic activity (37%, N = 1,620 selections) than mussels from PS treatment (63%, N = 2,724 selections). However, the acoustic activity was similar amongst mussels from treatments with the same number of individuals/tank, regardless of the emersion status (TS or PS) (TS10: 7%, N = 303 selections and PS10: 9%, N = 408 selections; TS40: 12%, N = 531 selections and PS40: 21%, N = 898 selections; and TS80: 18%, N = 786 selections and PS80: 33%, N = 1,418 selections). According to kruskal Wallis and Nemenyi tests, the acoustic activity rate is dependent on the sample densities of the population. However, analyses with nonlinear regression showed low values of determination coefficients. Thus, there is a need for further research to estimate the population density of the mussel.
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spelling Melo Junior, Ubirajara GonçalvesXavier, Fabio ContreraCampbell, DanielFagundes Netto, Eduardo BarrosBiofouling, Benthic Ecology and Marine Biotechnology Meeting, 013., 2019, Arraial do Cabo (RJ)2020-03-28T19:05:13Z2020-03-28T19:05:13Z2019http://www.repositorio.mar.mil.br/handle/ripcmb/844552Several studies suggested that the species sensibility to the water features might affect its acoustic signaling pattern and indicate environmental changes. Although widely studied, the bivalves have few investigations about the acoustic detection and its role in the soundscape ecology of environments that these organisms inhabit. This study aims to analyze the variation of the acoustic activity rate emitted by the mussel Perna perna regarding the sample densities of the population. Six treatments were defined, divided in two groups of three, containing 10, 40 and 80 individuals each. In the first group the mussel signals were recorded with the totally submerged (TS) individuals and in the second the mussels were kept partially submerged (PS). The acquisition time of the signal was 10 minutes per treatment, and each treatment was recorded eight times, totaling eight hours of recordings. The recordings occured in a tank with acoustic insulation, built for this study. In the end of the recordings, 4,344 selections of bivalve acoustic activities were performed. Mussels from TS treatment had a lower acoustic activity (37%, N = 1,620 selections) than mussels from PS treatment (63%, N = 2,724 selections). However, the acoustic activity was similar amongst mussels from treatments with the same number of individuals/tank, regardless of the emersion status (TS or PS) (TS10: 7%, N = 303 selections and PS10: 9%, N = 408 selections; TS40: 12%, N = 531 selections and PS40: 21%, N = 898 selections; and TS80: 18%, N = 786 selections and PS80: 33%, N = 1,418 selections). According to kruskal Wallis and Nemenyi tests, the acoustic activity rate is dependent on the sample densities of the population. However, analyses with nonlinear regression showed low values of determination coefficients. Thus, there is a need for further research to estimate the population density of the mussel.engInstituto de Estudos do Mar Almirante Paulo Moreira (IEAPM)Ciência, Tecnologia e InovaçãoMexilhãoBivalve (Molusco)Acústica SubmarinaIs it possible to estimate the population density of mussels based on their acoustic activity?info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBrasilinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB)instname:Marinha do Brasil (MB)instacron:MBTEXTFagundes Netto, E. et al_BIOINC2019_Is it possible to estimate the population density of mussels.pdf.txtFagundes Netto, E. et al_BIOINC2019_Is it possible to estimate the population density of mussels.pdf.txtExtracted texttext/plain1https://www.repositorio.mar.mil.br/bitstream/ripcmb/844552/2/Fagundes%20Netto%2c%20E.%20et%20al_BIOINC2019_Is%20it%20possible%20to%20estimate%20the%20population%20density%20of%20mussels.pdf.txt68b329da9893e34099c7d8ad5cb9c940MD52THUMBNAILFagundes Netto, E. et al_BIOINC2019_Is it possible to estimate the population density of mussels.pdf.jpgFagundes Netto, E. et al_BIOINC2019_Is it possible to estimate the population density of mussels.pdf.jpgGenerated Thumbnailimage/jpeg1713https://www.repositorio.mar.mil.br/bitstream/ripcmb/844552/3/Fagundes%20Netto%2c%20E.%20et%20al_BIOINC2019_Is%20it%20possible%20to%20estimate%20the%20population%20density%20of%20mussels.pdf.jpgd5b80952ff23e1878bcb779f23120127MD53ORIGINALFagundes Netto, E. et al_BIOINC2019_Is it possible to estimate the population density of mussels.pdfFagundes Netto, E. et al_BIOINC2019_Is it possible to estimate the population density of mussels.pdfapplication/pdf422635https://www.repositorio.mar.mil.br/bitstream/ripcmb/844552/1/Fagundes%20Netto%2c%20E.%20et%20al_BIOINC2019_Is%20it%20possible%20to%20estimate%20the%20population%20density%20of%20mussels.pdfb4601872137cc83bf94ef86b56f4b36aMD51ripcmb/8445522022-09-22 15:14:15.657oai:www.repositorio.mar.mil.br:ripcmb/844552Repositório InstitucionalPUBhttps://www.repositorio.mar.mil.br/oai/requestdphdm.repositorio@marinha.mil.bropendoar:2022-09-22T18:14:15Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB) - Marinha do Brasil (MB)false
dc.title.pt_BR.fl_str_mv Is it possible to estimate the population density of mussels based on their acoustic activity?
title Is it possible to estimate the population density of mussels based on their acoustic activity?
spellingShingle Is it possible to estimate the population density of mussels based on their acoustic activity?
Melo Junior, Ubirajara Gonçalves
Mexilhão
Bivalve (Molusco)
Acústica Submarina
Ciência, Tecnologia e Inovação
title_short Is it possible to estimate the population density of mussels based on their acoustic activity?
title_full Is it possible to estimate the population density of mussels based on their acoustic activity?
title_fullStr Is it possible to estimate the population density of mussels based on their acoustic activity?
title_full_unstemmed Is it possible to estimate the population density of mussels based on their acoustic activity?
title_sort Is it possible to estimate the population density of mussels based on their acoustic activity?
author Melo Junior, Ubirajara Gonçalves
author_facet Melo Junior, Ubirajara Gonçalves
Xavier, Fabio Contrera
Campbell, Daniel
Fagundes Netto, Eduardo Barros
Biofouling, Benthic Ecology and Marine Biotechnology Meeting, 013., 2019, Arraial do Cabo (RJ)
author_role author
author2 Xavier, Fabio Contrera
Campbell, Daniel
Fagundes Netto, Eduardo Barros
Biofouling, Benthic Ecology and Marine Biotechnology Meeting, 013., 2019, Arraial do Cabo (RJ)
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Melo Junior, Ubirajara Gonçalves
Xavier, Fabio Contrera
Campbell, Daniel
Fagundes Netto, Eduardo Barros
Biofouling, Benthic Ecology and Marine Biotechnology Meeting, 013., 2019, Arraial do Cabo (RJ)
dc.subject.por.fl_str_mv Mexilhão
Bivalve (Molusco)
Acústica Submarina
topic Mexilhão
Bivalve (Molusco)
Acústica Submarina
Ciência, Tecnologia e Inovação
dc.subject.dgpm.none.fl_str_mv Ciência, Tecnologia e Inovação
description Several studies suggested that the species sensibility to the water features might affect its acoustic signaling pattern and indicate environmental changes. Although widely studied, the bivalves have few investigations about the acoustic detection and its role in the soundscape ecology of environments that these organisms inhabit. This study aims to analyze the variation of the acoustic activity rate emitted by the mussel Perna perna regarding the sample densities of the population. Six treatments were defined, divided in two groups of three, containing 10, 40 and 80 individuals each. In the first group the mussel signals were recorded with the totally submerged (TS) individuals and in the second the mussels were kept partially submerged (PS). The acquisition time of the signal was 10 minutes per treatment, and each treatment was recorded eight times, totaling eight hours of recordings. The recordings occured in a tank with acoustic insulation, built for this study. In the end of the recordings, 4,344 selections of bivalve acoustic activities were performed. Mussels from TS treatment had a lower acoustic activity (37%, N = 1,620 selections) than mussels from PS treatment (63%, N = 2,724 selections). However, the acoustic activity was similar amongst mussels from treatments with the same number of individuals/tank, regardless of the emersion status (TS or PS) (TS10: 7%, N = 303 selections and PS10: 9%, N = 408 selections; TS40: 12%, N = 531 selections and PS40: 21%, N = 898 selections; and TS80: 18%, N = 786 selections and PS80: 33%, N = 1,418 selections). According to kruskal Wallis and Nemenyi tests, the acoustic activity rate is dependent on the sample densities of the population. However, analyses with nonlinear regression showed low values of determination coefficients. Thus, there is a need for further research to estimate the population density of the mussel.
publishDate 2019
dc.date.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2020-03-28T19:05:13Z
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dc.publisher.none.fl_str_mv Instituto de Estudos do Mar Almirante Paulo Moreira (IEAPM)
publisher.none.fl_str_mv Instituto de Estudos do Mar Almirante Paulo Moreira (IEAPM)
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