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dc.contributor.authorKartveit, Kyrre Heldal
dc.contributor.authorFilbee-Dexter, Karen
dc.contributor.authorSteen, Henning
dc.contributor.authorChristensen, Lene
dc.contributor.authorNorderhaug, Kjell Magnus
dc.date.accessioned2023-01-19T09:53:03Z
dc.date.available2023-01-19T09:53:03Z
dc.date.created2023-01-15T15:14:22Z
dc.date.issued2022
dc.identifier.citationFrontiers in Marine Science. 2022, 9 .en_US
dc.identifier.issn2296-7745
dc.identifier.urihttps://hdl.handle.net/11250/3044527
dc.description.abstractKelp forests are the largest vegetated marine ecosystem on earth, but vast areas of their distribution remain unmapped and unmonitored. Efficient and cost-effective methods for measuring the standing biomass of these ecosystems are urgently needed for coastal mapping, ocean accounting and sustainable management of wild harvest. Here we show how widely available acoustic equipment on vessels can be used to perform robust and large-scale (kilometer) quantifications of kelp biomass which can be used in assessments and monitoring programs. We demonstrate how to interpret echograms from acoustic systems into point estimates of standing biomass in order to create spatial maps of biomass distribution. We also explore what environmental conditions are suitable for acoustic measures. This has direct application for blue carbon accounting, coastal monitoring, management of wild seaweed harvest and the protection and conservation of marine habitats supporting high biodiversity.en_US
dc.language.isoengen_US
dc.titleEfficient spatial kelp biomass estimations using acoustic methodsen_US
dc.title.alternativeEfficient spatial kelp biomass estimations using acoustic methodsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber12en_US
dc.source.volume9en_US
dc.source.journalFrontiers in Marine Scienceen_US
dc.identifier.doi10.3389/fmars.2022.1065914
dc.identifier.cristin2107119
dc.relation.projectNærings- og fiskeridepartementet: 14915en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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