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The Use of Soundscapes to Monitor Fish Communities: Meaningful Graphical Representations Differ with Acoustic Environment

2020-06-13Artigo científico Acesso aberto
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dc.contributor.authorCarriço, Rita
dc.contributor.authorSilva, Mónica
dc.contributor.authorVieira, Manuel
dc.contributor.authorAfonso, Pedro
dc.contributor.authorMenezes, Gui
dc.contributor.authorFonseca, Paulo
dc.contributor.authorAmorim, Maria
dc.date.accessioned2021-01-29T21:32:04Z
dc.date.available2021-01-29T21:32:04Z
dc.date.issued2020-06-13
dc.description.abstractMany marine animals produce sounds in several phases of their life cycles, either actively or as a byproduct of their activities, such as during mate attraction or when moving. Recent studies of underwater soundscapes have proved passive acoustic monitoring to be a cost-effective, non-invasive tool to understand ecological processes, especially when sampling in adverse conditions or at great depth. Four days of sound recordings at three seamounts from the Azorean archipelago were examined to assess the suitability of different sound graphical representations to characterize different acoustic environments that contrast in the contribution of vocal fish communities. Long-term spectrograms, sound pressure level, spectral probability densities and the Acoustic Complexity Index (ACI) were computed for two shallow seamounts (Formigas and Princesa Alice, c. 35 m) and one deep seamount (Condor, 190 m) using graphics with different time spans. Only in Formigas, which presented the highest occurrence of fish sounds, was it possible to observe temporal patterns of fish vocal activity in the graphical representations. We highlight that habitats with a higher diversity and abundance of sounds are the most suitable targets for these methods, while in locations with a low prevalence of fish sounds a combination of several methods would be recommended.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCarriço, R.; Silva, M.A.; Vieira, M.; Afonso, P.; Menezes, G.M.; Fonseca, P.J.; Amorim, M.C.P. The Use of Soundscapes to Monitor Fish Communities: Meaningful Graphical Representations Differ with Acoustic Environment. Acoustics 2020, 2, 382-398. https://doi.org/10.3390/acoustics2020022pt_PT
dc.identifier.doi10.3390/acoustics2020022pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/46063
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationFCT - PTDC/MAR/74071/2006pt_PT
dc.relationFCT - SFRH/BD/115562/2016pt_PT
dc.relationFCT - UID/BIA/00329/2019pt_PT
dc.relationFCT - UID/MAR/04292/2019pt_PT
dc.relationSUMMER (H2020-EU.3.2.3.1, GA 817806).pt_PT
dc.relationMAPCET (M2.1.2/F/012/2011pt_PT
dc.relationFCT-Exploratory (IF/00943/2013/CP1199/CT0001pt_PT
dc.relationWATCH IT (Acores-01-0145-FEDER-000057),pt_PT
dc.relationMISTIC SEAS II (GA11.0661/2017/750679/SUB/ENV.C2pt_PT
dc.relationFEDER, COMPETE, QREN, POPH, ESF, the Portuguese Ministry for Science and Education, and EU-DG/ENV. The Azores 2020 Operational Programme is funded by the community structural funds ERDF and ESF. The RC was funded by the Azorean Regional Fund to Science and Technology—FRCT in the scope of a doctoral grant (M3.1.a/F/070/2015) of the project “Passive acoustic monitoring as a tool to monitor habitat health and vocal fish species of commercial or conservation interest”.pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleThe Use of Soundscapes to Monitor Fish Communities: Meaningful Graphical Representations Differ with Acoustic Environmentpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage398pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage382pt_PT
oaire.citation.titleAcousticspt_PT
oaire.citation.volume2pt_PT
person.familyNameFonseca
person.givenNamePaulo
person.identifier.orcid0000-0002-2663-9385
person.identifier.ridK-1537-2012
person.identifier.scopus-author-id35114657500
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationcb85f10d-266d-4315-8893-4ea61b4ea47e
relation.isAuthorOfPublication.latestForDiscoverycb85f10d-266d-4315-8893-4ea61b4ea47e

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