Krill biomass estimation: Sampling and measurement variability
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-traw...
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Online Access: | http://dx.doi.org/10.3389/fmars.2022.903035 https://www.frontiersin.org/articles/10.3389/fmars.2022.903035/full |
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crfrontiers:10.3389/fmars.2022.903035 2024-04-21T07:49:13+00:00 Krill biomass estimation: Sampling and measurement variability Bairstow, Fiona Gastauer, Sven Wotherspoon, Simon Brown, C. Tom A. Kawaguchi, So Edwards, Tom Cox, Martin J. Engineering and Physical Sciences Research Council 2022 http://dx.doi.org/10.3389/fmars.2022.903035 https://www.frontiersin.org/articles/10.3389/fmars.2022.903035/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Marine Science volume 9 ISSN 2296-7745 Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography journal-article 2022 crfrontiers https://doi.org/10.3389/fmars.2022.903035 2024-03-26T08:34:36Z 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. Article in Journal/Newspaper Antarc* Antarctic Frontiers (Publisher) Frontiers in Marine Science 9 |
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Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography |
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Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography 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 |
Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography |
description |
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. |
author2 |
Engineering and Physical Sciences Research Council |
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 |
publisher |
Frontiers Media SA |
publishDate |
2022 |
url |
http://dx.doi.org/10.3389/fmars.2022.903035 https://www.frontiersin.org/articles/10.3389/fmars.2022.903035/full |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Frontiers in Marine Science volume 9 ISSN 2296-7745 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3389/fmars.2022.903035 |
container_title |
Frontiers in Marine Science |
container_volume |
9 |
_version_ |
1796931444622229504 |