Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/28713
Full metadata record
DC FieldValueLanguage
dc.contributor.authorQuintino, Victorpt_PT
dc.contributor.authorFreitas, Rosapt_PT
dc.contributor.authorMamede, Renatopt_PT
dc.contributor.authorRicardo, Fernandopt_PT
dc.contributor.authorRodrigues, Ana Mariapt_PT
dc.contributor.authorMota, Jorgept_PT
dc.contributor.authorPérez-Ruzafa, Ángelpt_PT
dc.contributor.authorMarcos, Concepciónpt_PT
dc.date.accessioned2020-06-18T13:46:07Z-
dc.date.available2020-06-18T13:46:07Z-
dc.date.issued2010-
dc.identifier.issn1054-3139pt_PT
dc.identifier.urihttp://hdl.handle.net/10773/28713-
dc.description.abstractA single-beam, acoustic, ground-discrimination system (QTC VIEW, Series V) was used to study the distribution of underwater macrophytes in a shallow-water coastal system, employing frequencies of 50 and 200 kHz. The study was conducted in Mar Menor, SE Spain, where the expansion of Caulerpa prolifera has contributed to the silting up of the superficial sediments. A direct relationship was identified between algal biomass and sediment-fines content. Acoustic information on sediment grain size and data on algal biomass were obtained in muddy and sandy sediments, including vegetated and non-vegetated seabed. Non-vegetated muddy areas were created by diving and handpicking the algae. The multivariate acoustic data were analysed under the null hypotheses that there were no acoustic differences between bare seabeds with contrasting superficial sediment types or among low, medium, and high algal-biomass areas, having in mind that grain size can act as a confounding factor. Both null hypotheses were rejected, and the results showed that 200 kHz was better than 50 kHz in distinguishing cover levels of algal biomass. The relationship between the 200-kHz acoustic data and algal biomass suggests utility in modelling the latter using the former.pt_PT
dc.language.isoengpt_PT
dc.publisherOxford University Presspt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/POCI/56441/PTpt_PT
dc.relationPPCDT/MAR/56441/04pt_PT
dc.rightsrestrictedAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAcoustic methodspt_PT
dc.subjectAlgal coverpt_PT
dc.subjectRemote sensingpt_PT
dc.subjectSediment typespt_PT
dc.titleRemote sensing of underwater vegetation using single-beam acousticspt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.firstPage594pt_PT
degois.publication.issue3pt_PT
degois.publication.lastPage605pt_PT
degois.publication.titleICES Journal of Marine Sciencept_PT
degois.publication.volume67pt_PT
dc.identifier.doi10.1093/icesjms/fsp251pt_PT
dc.identifier.essn1095-9289pt_PT
Appears in Collections:CESAM - Artigos
DBio - Artigos

Files in This Item:
File Description SizeFormat 
Quintino et al. - 2010 - Remote sensing of underwater vegetation using sing.pdf351.94 kBAdobe PDFrestrictedAccess


FacebookTwitterLinkedIn
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.