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dc.contributor.authorBairstow, Fiona
dc.contributor.authorGastauer, Sven
dc.contributor.authorWotherspoon, Simon
dc.contributor.authorBrown, C. Tom A.
dc.contributor.authorKawaguchi, So
dc.contributor.authorEdwards, Tom
dc.contributor.authorCox, Martin J.
dc.date.accessioned2022-09-07T10:30:31Z
dc.date.available2022-09-07T10:30:31Z
dc.date.issued2022-08-22
dc.identifier281211014
dc.identifier939315b1-d71d-4793-9fdf-5c72414cbcc7
dc.identifier000850672500001
dc.identifier85137981760
dc.identifier.citationBairstow , F , Gastauer , S , Wotherspoon , S , Brown , C T A , Kawaguchi , S , Edwards , T & Cox , M J 2022 , ' Krill biomass estimation : sampling and measurement variability ' , Frontiers in Marine Science , vol. 9 , 903035 . https://doi.org/10.3389/fmars.2022.903035en
dc.identifier.issn2296-7745
dc.identifier.otherJisc: 585455
dc.identifier.otherORCID: /0000-0002-4405-6677/work/118799930
dc.identifier.urihttps://hdl.handle.net/10023/25960
dc.descriptionFB is funded by an EPSRC studentship (grant code: EP/R513337/1).en
dc.description.abstractKrill are the subject of growing commercial fisheries and therefore fisheries management is necessary to ensure long-term sustainability. Krill catch limits, set by Commission for the Conservation of Antarctic Marine Living Resources, are based on absolute krill biomass, estimated from acoustic-trawl surveys. In this work, we develop a method for determining an error budget for acoustic-trawl surveys of krill which includes sampling and measurement variability. We use our error budget method to examine the sensitivity of biomass estimates to parameters in acoustic target strength (TS) models, length frequency distribution and length to wetmass relationships derived from net data. We determined that the average coefficient of variation (CV) of estimated biomass was 17.7% and the average CV due from scaling acoustic observations to biomass density was 5.3%. We found that a large proportion of the variability of biomass estimates is due to the krill orientation distribution, a parameter in the TS model. Orientation distributions with narrow standard deviations were found to emphasise the results of nulls in the TS to length relationship, which has to potential to lead to biologically implausible results.
dc.format.extent19
dc.format.extent10904296
dc.language.isoeng
dc.relation.ispartofFrontiers in Marine Scienceen
dc.subjectMarine Scienceen
dc.subjectAntarctic krillen
dc.subjectBiomassen
dc.subjectFisheries acousticsen
dc.subjectGeostatisticsen
dc.subjectTarget strengthen
dc.subjectWetmassen
dc.subjectGC Oceanographyen
dc.subjectDASen
dc.subjectSDG 14 - Life Below Wateren
dc.subject.lccGCen
dc.titleKrill biomass estimation : sampling and measurement variabilityen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.contributor.institutionUniversity of St Andrews. Centre for Biophotonicsen
dc.contributor.institutionUniversity of St Andrews. Office of the Principalen
dc.identifier.doi10.3389/fmars.2022.903035
dc.description.statusPeer revieweden


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