Krill biomass estimation : sampling and measurement variability
FB is funded by an EPSRC studentship (grant code: EP/R513337/1). Krill 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,...
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ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/25960 2023-07-02T03:29:55+02:00 Krill biomass estimation : sampling and measurement variability Bairstow, Fiona Gastauer, Sven Wotherspoon, Simon Brown, C. Tom A. Kawaguchi, So Edwards, Tom Cox, Martin J. University of St Andrews. School of Physics and Astronomy University of St Andrews. Centre for Biophotonics University of St Andrews. Office of the Principal 2022-09-07T10:30:31Z 19 application/pdf http://hdl.handle.net/10023/25960 https://doi.org/10.3389/fmars.2022.903035 eng eng Frontiers in Marine Science Bairstow , 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.2022.903035 2296-7745 PURE: 281211014 PURE UUID: 939315b1-d71d-4793-9fdf-5c72414cbcc7 Jisc: 585455 ORCID: /0000-0002-4405-6677/work/118799930 WOS: 000850672500001 Scopus: 85137981760 http://hdl.handle.net/10023/25960 https://doi.org/10.3389/fmars.2022.903035 Copyright © 2022 Bairstow, Gastauer, Wotherspoon, Brown, Kawaguchi, Edwards and Cox. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Marine Science Antarctic krill Biomass Fisheries acoustics Geostatistics Target strength Wetmass GC Oceanography DAS SDG 14 - Life Below Water GC Journal article 2022 ftstandrewserep https://doi.org/10.3389/fmars.2022.903035 2023-06-13T18:27:46Z FB is funded by an EPSRC studentship (grant code: EP/R513337/1). Krill 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. Publisher PDF Peer reviewed Article in Journal/Newspaper Antarc* Antarctic Antarctic Krill University of St Andrews: Digital Research Repository Antarctic Frontiers in Marine Science 9 |
institution |
Open Polar |
collection |
University of St Andrews: Digital Research Repository |
op_collection_id |
ftstandrewserep |
language |
English |
topic |
Marine Science Antarctic krill Biomass Fisheries acoustics Geostatistics Target strength Wetmass GC Oceanography DAS SDG 14 - Life Below Water GC |
spellingShingle |
Marine Science Antarctic krill Biomass Fisheries acoustics Geostatistics Target strength Wetmass GC Oceanography DAS SDG 14 - Life Below Water GC Bairstow, Fiona Gastauer, Sven Wotherspoon, Simon Brown, C. Tom A. Kawaguchi, So Edwards, Tom Cox, Martin J. Krill biomass estimation : sampling and measurement variability |
topic_facet |
Marine Science Antarctic krill Biomass Fisheries acoustics Geostatistics Target strength Wetmass GC Oceanography DAS SDG 14 - Life Below Water GC |
description |
FB is funded by an EPSRC studentship (grant code: EP/R513337/1). Krill 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. Publisher PDF Peer reviewed |
author2 |
University of St Andrews. School of Physics and Astronomy University of St Andrews. Centre for Biophotonics University of St Andrews. Office of the Principal |
format |
Article in Journal/Newspaper |
author |
Bairstow, Fiona Gastauer, Sven Wotherspoon, Simon Brown, C. Tom A. Kawaguchi, So Edwards, Tom Cox, Martin J. |
author_facet |
Bairstow, Fiona Gastauer, Sven Wotherspoon, Simon Brown, C. Tom A. Kawaguchi, So Edwards, Tom Cox, Martin J. |
author_sort |
Bairstow, Fiona |
title |
Krill biomass estimation : sampling and measurement variability |
title_short |
Krill biomass estimation : sampling and measurement variability |
title_full |
Krill biomass estimation : sampling and measurement variability |
title_fullStr |
Krill biomass estimation : sampling and measurement variability |
title_full_unstemmed |
Krill biomass estimation : sampling and measurement variability |
title_sort |
krill biomass estimation : sampling and measurement variability |
publishDate |
2022 |
url |
http://hdl.handle.net/10023/25960 https://doi.org/10.3389/fmars.2022.903035 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctic Krill |
genre_facet |
Antarc* Antarctic Antarctic Krill |
op_relation |
Frontiers in Marine Science Bairstow , 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.2022.903035 2296-7745 PURE: 281211014 PURE UUID: 939315b1-d71d-4793-9fdf-5c72414cbcc7 Jisc: 585455 ORCID: /0000-0002-4405-6677/work/118799930 WOS: 000850672500001 Scopus: 85137981760 http://hdl.handle.net/10023/25960 https://doi.org/10.3389/fmars.2022.903035 |
op_rights |
Copyright © 2022 Bairstow, Gastauer, Wotherspoon, Brown, Kawaguchi, Edwards and Cox. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
op_doi |
https://doi.org/10.3389/fmars.2022.903035 |
container_title |
Frontiers in Marine Science |
container_volume |
9 |
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1770273457146167296 |