Publicação
Passive acoustic monitoring for assessment of natural and anthropogenic sound sources in the marine environment using automatic recognition
| datacite.subject.fos | Ciências Naturais::Ciências Biológicas | pt_PT |
| dc.contributor.advisor | Fonseca, Paulo J. | |
| dc.contributor.advisor | Amorim, Maria Clara P. | |
| dc.contributor.author | Vieira, Manuel | |
| dc.date.accessioned | 2023-01-03T16:26:28Z | |
| dc.date.available | 2023-01-03T16:26:28Z | |
| dc.date.issued | 2022-07 | |
| dc.date.submitted | 2022-03 | |
| dc.description.abstract | In the marine environment, sound can be an efficient source of information. Indeed, several marine species, including fish, use sound to navigate, select habitats, detect predators and prey, and to attract mates. Therefore, all the abiotic, biotic and manmade sounds that comprise the soundscape, have the potential to be used to assess and monitor species and marine environments. Passive acoustic monitoring (PAM) involves the use of acoustic sensors to record sound in the environment, from which relevant ecological information can be inferred. This thesis studied marine soundscapes, with special attention on fish communities, anthropogenic noise, and applied several methods to analyse acoustic recordings. Most of the focus was on the Tagus estuary, where the presence of two highly vocal species is known: the Lusitanian toadfish (Halobatrachus didactylus) and the meagre (Argyrosomus regius). Azorean and Mozambique soundscapes were also analysed. Several methods were applied to extract information and to visualize soundscape characteristics, including sound recognition systems based on hidden Markov models to recognize fish sounds and boat passages. Analysis of several types of marine environments and time scales showed several advantages and disadvantages of different methods. The use of sound pressure level on different frequency bands allowed the quantification of daily and seasonal patterns. Ecoacoustic indices appear to be cost-effective tools to monitor biodiversity in some marine environments. Using automatic recognition, vocal rhythms (diel and seasonal patterns) and vocal interactions among individuals were also characterized. Furthermore, boat noise effects on fish were studied: we encountered impacts on the audition, vocal behaviour and reproduction. Overall, we used PAM as a tool to remotely assess and monitor soundscapes, biodiversity, fish communities’ seasonal patterns, fish behaviour, species presence, and the effect of anthropogenic noise aiming to contribute for the management and conservation of marine ecosystems. | pt_PT |
| dc.identifier.tid | 101598610 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10451/55605 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | Passive acoustic monitoring for assessment of natural and anthropogenic sound sources in the marine environment using automatic recognition | |
| dc.relation | Impact of anthropogenic noise on fish fitness | |
| dc.subject | Comunicação acústica | pt_PT |
| dc.subject | Peixes | pt_PT |
| dc.subject | Paisagem acústica | pt_PT |
| dc.subject | Ruído antropogénico | pt_PT |
| dc.subject | Reconhecimento automático | pt_PT |
| dc.subject | Acoustic communication | pt_PT |
| dc.subject | Fish | pt_PT |
| dc.subject | Soundscape | pt_PT |
| dc.subject | Anthropogenic noise | pt_PT |
| dc.subject | Automatic recognition | pt_PT |
| dc.title | Passive acoustic monitoring for assessment of natural and anthropogenic sound sources in the marine environment using automatic recognition | pt_PT |
| dc.type | doctoral thesis | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Passive acoustic monitoring for assessment of natural and anthropogenic sound sources in the marine environment using automatic recognition | |
| oaire.awardTitle | Impact of anthropogenic noise on fish fitness | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F115562%2F2016/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FBIA-BMA%2F29662%2F2017/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FBIA-BMA%2F30517%2F2017/PT | |
| oaire.fundingStream | 9471 - RIDTI | |
| oaire.fundingStream | 3599-PPCDT | |
| person.familyName | Guerreiro Vieira | |
| person.givenName | Manuel Alexander | |
| person.identifier.ciencia-id | 3710-ABC3-83FF | |
| person.identifier.orcid | 0000-0002-3103-8330 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | doctoralThesis | pt_PT |
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| thesis.degree.name | Tese de doutoramento, Biologia (Biologia Marinha e Aquacultura), Universidade de Lisboa, Faculdade de Ciências, 2022 | pt_PT |