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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2022.903035/full |
| _version_ | 1811339385770082304 |
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| author | Fiona Bairstow Sven Gastauer Sven Gastauer Simon Wotherspoon C. Tom A. Brown So Kawaguchi Tom Edwards Martin J. Cox |
| author_facet | Fiona Bairstow Sven Gastauer Sven Gastauer Simon Wotherspoon C. Tom A. Brown So Kawaguchi Tom Edwards Martin J. Cox |
| author_sort | Fiona Bairstow |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T18:25:06Z |
| format | Article |
| id | doaj.art-a6b6d0a8c98d42d080f4072016782813 |
| institution | Directory Open Access Journal |
| issn | 2296-7745 |
| language | English |
| last_indexed | 2024-04-13T18:25:06Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj.art-a6b6d0a8c98d42d080f40720167828132022-12-22T02:35:16ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452022-08-01910.3389/fmars.2022.903035903035Krill biomass estimation: Sampling and measurement variabilityFiona Bairstow0Sven Gastauer1Sven Gastauer2Simon Wotherspoon3C. Tom A. Brown4So Kawaguchi5Tom Edwards6Martin J. Cox7SUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, United KingdomThünen Institute of Sea Fisheries, Bremerhaven, GermanyScripps Institution of Oceanography, University of California, San Diego, CA, United StatesAustralian Antarctic Division, Department of Agriculture, Water and Environment, Kingston, TAS, AustraliaSUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, United KingdomAustralian Antarctic Division, Department of Agriculture, Water and Environment, Kingston, TAS, AustraliaSUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, United KingdomAustralian Antarctic Division, Department of Agriculture, Water and Environment, Kingston, TAS, AustraliaKrill 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.https://www.frontiersin.org/articles/10.3389/fmars.2022.903035/fullAntarctic krillbiomassfisheries acousticsgeostatisticstarget strengthwetmass |
| spellingShingle | Fiona Bairstow Sven Gastauer Sven Gastauer Simon Wotherspoon C. Tom A. Brown So Kawaguchi Tom Edwards Martin J. Cox Krill biomass estimation: Sampling and measurement variability Frontiers in Marine Science Antarctic krill biomass fisheries acoustics geostatistics target strength wetmass |
| title | 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_short | Krill biomass estimation: Sampling and measurement variability |
| title_sort | krill biomass estimation sampling and measurement variability |
| topic | Antarctic krill biomass fisheries acoustics geostatistics target strength wetmass |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2022.903035/full |
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