Estimation of returning Atlantic salmon stock from rod exploitation rate for principal salmon rivers in England & Wales
Abstract For effective fishery management, estimated stock sizes, along with their uncertainties, should be accurate, precise, and unbiased. Atlantic salmon Salmo salar stock assessment in England and Wales (and elsewhere across the Atlantic) estimate returning salmon stocks by applying a measure of...
Published in: | ICES Journal of Marine Science |
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Oxford University Press (OUP)
2023
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Online Access: | http://dx.doi.org/10.1093/icesjms/fsad161 https://academic.oup.com/icesjms/article-pdf/80/10/2504/54722999/fsad161.pdf |
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croxfordunivpr:10.1093/icesjms/fsad161 2024-01-28T10:04:32+01:00 Estimation of returning Atlantic salmon stock from rod exploitation rate for principal salmon rivers in England & Wales Gregory, Stephen D Gillson, Jonathan P Whitlock, Katie Barry, Jon Gough, Peter Hillman, Robert J Mee, David Peirson, Graeme Shields, Brian A Talks, Lawrence Toms, Simon Walker, Alan M Wilson, Ben Davidson, Ian C Weltersbach, Simon Department for Environment, Food and Rural Affairs, UK Government European Regional Development Fund 2023 http://dx.doi.org/10.1093/icesjms/fsad161 https://academic.oup.com/icesjms/article-pdf/80/10/2504/54722999/fsad161.pdf en eng Oxford University Press (OUP) http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ ICES Journal of Marine Science volume 80, issue 10, page 2504-2519 ISSN 1054-3139 1095-9289 Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2023 croxfordunivpr https://doi.org/10.1093/icesjms/fsad161 2023-12-29T09:39:34Z Abstract For effective fishery management, estimated stock sizes, along with their uncertainties, should be accurate, precise, and unbiased. Atlantic salmon Salmo salar stock assessment in England and Wales (and elsewhere across the Atlantic) estimate returning salmon stocks by applying a measure of rod exploitation rate (RER), derived from less abundant fishery-independent stock estimates, to abundant fishery-dependent data. Currently, RER estimates are generated for individual principal salmon rivers based on available local data and assumptions. We propose a single, consistent, transparent, and statistically robust method to estimate salmon stocks that transfers strength of information from “data-rich” rivers, i.e. those with fisheries-independent data, to “data-poor” rivers without such data. We proposed, fitted, simplified, and then validated a Beta–Binomial model of RER, including covariates representing angler and fish behaviours, river flow, and random effects to control for nuisance effects. Our “best” model revealed covariate effects in line with our hypotheses and generalized to data not used to train it. We used this model to extrapolate stock estimates from 12 data-rich to 52 data-poor rivers, together with their uncertainties. The resulting river-specific salmon stock estimates were judged to be useful and can be used as key inputs to river-specific, national, and international salmon stock assessments. Article in Journal/Newspaper Atlantic salmon Salmo salar Oxford University Press (via Crossref) ICES Journal of Marine Science |
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Open Polar |
collection |
Oxford University Press (via Crossref) |
op_collection_id |
croxfordunivpr |
language |
English |
topic |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
spellingShingle |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography Gregory, Stephen D Gillson, Jonathan P Whitlock, Katie Barry, Jon Gough, Peter Hillman, Robert J Mee, David Peirson, Graeme Shields, Brian A Talks, Lawrence Toms, Simon Walker, Alan M Wilson, Ben Davidson, Ian C Estimation of returning Atlantic salmon stock from rod exploitation rate for principal salmon rivers in England & Wales |
topic_facet |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract For effective fishery management, estimated stock sizes, along with their uncertainties, should be accurate, precise, and unbiased. Atlantic salmon Salmo salar stock assessment in England and Wales (and elsewhere across the Atlantic) estimate returning salmon stocks by applying a measure of rod exploitation rate (RER), derived from less abundant fishery-independent stock estimates, to abundant fishery-dependent data. Currently, RER estimates are generated for individual principal salmon rivers based on available local data and assumptions. We propose a single, consistent, transparent, and statistically robust method to estimate salmon stocks that transfers strength of information from “data-rich” rivers, i.e. those with fisheries-independent data, to “data-poor” rivers without such data. We proposed, fitted, simplified, and then validated a Beta–Binomial model of RER, including covariates representing angler and fish behaviours, river flow, and random effects to control for nuisance effects. Our “best” model revealed covariate effects in line with our hypotheses and generalized to data not used to train it. We used this model to extrapolate stock estimates from 12 data-rich to 52 data-poor rivers, together with their uncertainties. The resulting river-specific salmon stock estimates were judged to be useful and can be used as key inputs to river-specific, national, and international salmon stock assessments. |
author2 |
Weltersbach, Simon Department for Environment, Food and Rural Affairs, UK Government European Regional Development Fund |
format |
Article in Journal/Newspaper |
author |
Gregory, Stephen D Gillson, Jonathan P Whitlock, Katie Barry, Jon Gough, Peter Hillman, Robert J Mee, David Peirson, Graeme Shields, Brian A Talks, Lawrence Toms, Simon Walker, Alan M Wilson, Ben Davidson, Ian C |
author_facet |
Gregory, Stephen D Gillson, Jonathan P Whitlock, Katie Barry, Jon Gough, Peter Hillman, Robert J Mee, David Peirson, Graeme Shields, Brian A Talks, Lawrence Toms, Simon Walker, Alan M Wilson, Ben Davidson, Ian C |
author_sort |
Gregory, Stephen D |
title |
Estimation of returning Atlantic salmon stock from rod exploitation rate for principal salmon rivers in England & Wales |
title_short |
Estimation of returning Atlantic salmon stock from rod exploitation rate for principal salmon rivers in England & Wales |
title_full |
Estimation of returning Atlantic salmon stock from rod exploitation rate for principal salmon rivers in England & Wales |
title_fullStr |
Estimation of returning Atlantic salmon stock from rod exploitation rate for principal salmon rivers in England & Wales |
title_full_unstemmed |
Estimation of returning Atlantic salmon stock from rod exploitation rate for principal salmon rivers in England & Wales |
title_sort |
estimation of returning atlantic salmon stock from rod exploitation rate for principal salmon rivers in england & wales |
publisher |
Oxford University Press (OUP) |
publishDate |
2023 |
url |
http://dx.doi.org/10.1093/icesjms/fsad161 https://academic.oup.com/icesjms/article-pdf/80/10/2504/54722999/fsad161.pdf |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
ICES Journal of Marine Science volume 80, issue 10, page 2504-2519 ISSN 1054-3139 1095-9289 |
op_rights |
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ |
op_doi |
https://doi.org/10.1093/icesjms/fsad161 |
container_title |
ICES Journal of Marine Science |
_version_ |
1789330260249018368 |