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Acoustic monitoring of Undaria pinnatifida forests: first 2 approach using broadband echosounders in Patagonia 3 Argentina

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dc.contributor.authorArijón, Marianela
dc.contributor.authorRodríguez Pérez, Daniel
dc.contributor.authorGaspar Dellatorre, Fernando
dc.contributor.authorSánchez Carnero, Noela
dc.date.accessioned2026-01-21T18:24:03Z
dc.date.available2026-01-21T18:24:03Z
dc.date.issued2025-09-16
dc.descriptionThis is an Accepted Manuscript of an article published by Elsevier in "Marine Environmental Research, 212 (2025):107555", available at: https://doi.org/10.1016/j.marenvres.2025.107555
dc.descriptionEste es el manuscrito aceptado del artículo publicado por Elsevier en "Marine Environmental Research, 212 (2025):107555", disponible en línea: https://doi.org/10.1016/j.marenvres.2025.107555
dc.description.abstractUndaria pinnatifida (hereafter Undaria) was first recorded in the Southwest Atlantic in 1992 in Golfo Nuevo (GN), Argentina. Since its introduction, in Golfo Nuevo, Argentina, in 1992, Undaria pinnatifida has become a species of significant ecological and economic importance, prompting interest in monitoring its spread and exploitation. This has generated significant interest in assessing its exploitation and monitoring its spread. Acoustic methods have been widely used for underwater vegetation mapping; however our study is the first in this area and the first to use broadband technology in this region. The aim of this study is to assess, for the first time, the performance of a broadband echosounder in detecting Undaria using both a method based on the height and acoustic intensity of Undaria fronds above the seafloor, and a method based on the acoustic signatures across multiple frequencies for target characterization. Supervised classifications were made in both cases using ground-truth data from diver surveys: using random forest and classification trees. The accuracies obtained for above-bottom features were higher than 75 % (kappa = 0.6); and for multi spectral response were even higher (close to 95 %, kappa = 0.89). These results prove broadband echosounders are valuable tools for underwater vegetation detection and promising for benthic habitat classification.en
dc.description.provenanceMade available in DSpace on 2026-01-21T18:24:03Z (GMT). No. of bitstreams: 1 Acoustic monitoring of Undaria pinnatifida forests first 2 approach using broadband echosounders in Patagonia 3 Argentina. Daniel Rodríguez Pérez.pdf: 1753853 bytes, checksum: 7bf1ccbbdab4a8682cca774561ec4e27 (MD5) Previous issue date: 2025-09-16en
dc.description.sponsorshipThis work was supported by the Agencia Nacional de Promocion Científica y Tecnologica (ANPCyT) (PICT 2016-0978) and by Universidad Tecnologica Nacional (Argentina, PID ALUTNCH0005164).en
dc.description.versionversión final
dc.identifier.citationArijon, Marianela, Rodríguez-Pérez, Daniel, Dellatorre, Fernando Gaspar, Sánchez-Carnero, Noela (2025). “Acoustic monitoring of Undaria pinnatifida forests: first approach using broadband echosounders in Patagonia Argentina”. Marine Environmental Research, 212:107555; DOI: 10.1016/j.marenvres.2025.107555
dc.identifier.doihttps://doi.org/10.1016/j.marenvres.2025.107555
dc.identifier.eissn1879-0291
dc.identifier.issn0141-1136
dc.identifier.urihttps://hdl.handle.net/20.500.14468/31513
dc.journal.titleMarine Environmental Research
dc.journal.volume212
dc.language.isoen
dc.page.final10
dc.page.initial1
dc.publisherElsevier
dc.relation.centerFacultad de Ciencias
dc.relation.departmentFísica Matemática y de Fluídos
dc.relation.researchgroupFísica Médica
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject1209 Estadística
dc.subject.keywordsRandom foresten
dc.subject.keywordsClassification treesen
dc.subject.keywordsUndaria pinnatifidaen
dc.subject.keywordsAcoustic dataen
dc.subject.keywordsBroadband signalen
dc.titleAcoustic monitoring of Undaria pinnatifida forests: first 2 approach using broadband echosounders in Patagonia 3 Argentinaen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication6567ec87-332f-45c9-8f32-1fb7e2a6a02d
relation.isAuthorOfPublication.latestForDiscovery6567ec87-332f-45c9-8f32-1fb7e2a6a02d
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