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: | https://doi.org/10.3389/fmars.2022.903035 https://doaj.org/article/a6b6d0a8c98d42d080f4072016782813 |
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ftdoajarticles:oai:doaj.org/article:a6b6d0a8c98d42d080f4072016782813 2023-05-15T13:36:12+02:00 Krill biomass estimation: Sampling and measurement variability Fiona Bairstow Sven Gastauer Simon Wotherspoon C. Tom A. Brown So Kawaguchi Tom Edwards Martin J. Cox 2022-08-01T00:00:00Z https://doi.org/10.3389/fmars.2022.903035 https://doaj.org/article/a6b6d0a8c98d42d080f4072016782813 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fmars.2022.903035/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2022.903035 https://doaj.org/article/a6b6d0a8c98d42d080f4072016782813 Frontiers in Marine Science, Vol 9 (2022) Antarctic krill biomass fisheries acoustics geostatistics target strength wetmass Science Q General. Including nature conservation geographical distribution QH1-199.5 article 2022 ftdoajarticles https://doi.org/10.3389/fmars.2022.903035 2022-12-30T23:09:39Z 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 Antarctic Krill Directory of Open Access Journals: DOAJ Articles Antarctic Frontiers in Marine Science 9 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Antarctic krill biomass fisheries acoustics geostatistics target strength wetmass Science Q General. Including nature conservation geographical distribution QH1-199.5 |
spellingShingle |
Antarctic krill biomass fisheries acoustics geostatistics target strength wetmass Science Q General. Including nature conservation geographical distribution QH1-199.5 Fiona Bairstow Sven Gastauer Simon Wotherspoon C. Tom A. Brown So Kawaguchi Tom Edwards Martin J. Cox Krill biomass estimation: Sampling and measurement variability |
topic_facet |
Antarctic krill biomass fisheries acoustics geostatistics target strength wetmass Science Q General. Including nature conservation geographical distribution QH1-199.5 |
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. |
format |
Article in Journal/Newspaper |
author |
Fiona Bairstow Sven Gastauer Simon Wotherspoon C. Tom A. Brown So Kawaguchi Tom Edwards Martin J. Cox |
author_facet |
Fiona Bairstow Sven Gastauer Simon Wotherspoon C. Tom A. Brown So Kawaguchi Tom Edwards Martin J. Cox |
author_sort |
Fiona Bairstow |
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 S.A. |
publishDate |
2022 |
url |
https://doi.org/10.3389/fmars.2022.903035 https://doaj.org/article/a6b6d0a8c98d42d080f4072016782813 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctic Krill |
genre_facet |
Antarc* Antarctic Antarctic Krill |
op_source |
Frontiers in Marine Science, Vol 9 (2022) |
op_relation |
https://www.frontiersin.org/articles/10.3389/fmars.2022.903035/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2022.903035 https://doaj.org/article/a6b6d0a8c98d42d080f4072016782813 |
op_doi |
https://doi.org/10.3389/fmars.2022.903035 |
container_title |
Frontiers in Marine Science |
container_volume |
9 |
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1766075428673421312 |