A combined acoustic and trawl survey for efficiently estimating fish abundance

When fish are patchily distributed, unstratified trawl surveys give highly variable abundance estimates. If the patches are small and mobile, it is impractical to use pre-stratified or multi-stage adaptive designs to reduce variability. Based on recent trawl surveys for mackerel icefish Champsocepha...

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Bibliographic Details
Published in:Fisheries Research
Main Authors: Everson, Inigo, Bravington, Mark, Goss, Catherine
Format: Article in Journal/Newspaper
Language:unknown
Published: Elsevier 1996
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/515086/
https://doi.org/10.1016/0165-7836(95)00404-1
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spelling ftnerc:oai:nora.nerc.ac.uk:515086 2023-05-15T16:42:07+02:00 A combined acoustic and trawl survey for efficiently estimating fish abundance Everson, Inigo Bravington, Mark Goss, Catherine 1996-04 http://nora.nerc.ac.uk/id/eprint/515086/ https://doi.org/10.1016/0165-7836(95)00404-1 unknown Elsevier Everson, Inigo; Bravington, Mark; Goss, Catherine. 1996 A combined acoustic and trawl survey for efficiently estimating fish abundance. Fisheries Research, 26 (1-2). 75-91. https://doi.org/10.1016/0165-7836(95)00404-1 <https://doi.org/10.1016/0165-7836(95)00404-1> Publication - Article PeerReviewed 1996 ftnerc https://doi.org/10.1016/0165-7836(95)00404-1 2023-02-04T19:43:51Z When fish are patchily distributed, unstratified trawl surveys give highly variable abundance estimates. If the patches are small and mobile, it is impractical to use pre-stratified or multi-stage adaptive designs to reduce variability. Based on recent trawl surveys for mackerel icefish Champsocephalus gunnari, we have modified the survey design and analysis to reduce estimation variance at minimal cost, using concomitant qualitative acoustic data. We have also developed new confidence interval procedures that should be accurate even for small samples. In computer simulations, the new method substantially outperformed a standard trawl survey. Article in Journal/Newspaper Icefish Natural Environment Research Council: NERC Open Research Archive Fisheries Research 26 1-2 75 91
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
language unknown
description When fish are patchily distributed, unstratified trawl surveys give highly variable abundance estimates. If the patches are small and mobile, it is impractical to use pre-stratified or multi-stage adaptive designs to reduce variability. Based on recent trawl surveys for mackerel icefish Champsocephalus gunnari, we have modified the survey design and analysis to reduce estimation variance at minimal cost, using concomitant qualitative acoustic data. We have also developed new confidence interval procedures that should be accurate even for small samples. In computer simulations, the new method substantially outperformed a standard trawl survey.
format Article in Journal/Newspaper
author Everson, Inigo
Bravington, Mark
Goss, Catherine
spellingShingle Everson, Inigo
Bravington, Mark
Goss, Catherine
A combined acoustic and trawl survey for efficiently estimating fish abundance
author_facet Everson, Inigo
Bravington, Mark
Goss, Catherine
author_sort Everson, Inigo
title A combined acoustic and trawl survey for efficiently estimating fish abundance
title_short A combined acoustic and trawl survey for efficiently estimating fish abundance
title_full A combined acoustic and trawl survey for efficiently estimating fish abundance
title_fullStr A combined acoustic and trawl survey for efficiently estimating fish abundance
title_full_unstemmed A combined acoustic and trawl survey for efficiently estimating fish abundance
title_sort combined acoustic and trawl survey for efficiently estimating fish abundance
publisher Elsevier
publishDate 1996
url http://nora.nerc.ac.uk/id/eprint/515086/
https://doi.org/10.1016/0165-7836(95)00404-1
genre Icefish
genre_facet Icefish
op_relation Everson, Inigo; Bravington, Mark; Goss, Catherine. 1996 A combined acoustic and trawl survey for efficiently estimating fish abundance. Fisheries Research, 26 (1-2). 75-91. https://doi.org/10.1016/0165-7836(95)00404-1 <https://doi.org/10.1016/0165-7836(95)00404-1>
op_doi https://doi.org/10.1016/0165-7836(95)00404-1
container_title Fisheries Research
container_volume 26
container_issue 1-2
container_start_page 75
op_container_end_page 91
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