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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Published in:Frontiers in Marine Science
Main Authors: Bairstow, Fiona, Gastauer, Sven, Wotherspoon, Simon, Brown, C. Tom A., Kawaguchi, So, Edwards, Tom, Cox, Martin J.
Other Authors: Engineering and Physical Sciences Research Council
Format: Article in Journal/Newspaper
Language:unknown
Published: Frontiers Media SA 2022
Subjects:
Online Access:http://dx.doi.org/10.3389/fmars.2022.903035
https://www.frontiersin.org/articles/10.3389/fmars.2022.903035/full
id crfrontiers:10.3389/fmars.2022.903035
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spelling 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
institution Open Polar
collection Frontiers (Publisher)
op_collection_id crfrontiers
language unknown
topic Ocean Engineering
Water Science and Technology
Aquatic Science
Global and Planetary Change
Oceanography
spellingShingle 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
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