Objectively Assigning Species and Ages to Salmonid Length Data from Dual‐Frequency Identification Sonar
Abstract Fishery managers need robust ways of objectively estimating the quantitative composition of fish stocks, by species and age‐class, from representative samples of populations. Dual‐frequency identification sonar data were used to first visually identify fish to a broad taxon (Salmonidae). Su...
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crwiley:10.1080/00028487.2013.862185 2024-06-02T08:03:40+00:00 Objectively Assigning Species and Ages to Salmonid Length Data from Dual‐Frequency Identification Sonar Gurney, W. S. C. Brennan, Louise O. Bacon, P. J. Whelan, K. F. O'Grady, Martin Dillane, Eileen McGinnity, P. European Regional Development Fund 2014 http://dx.doi.org/10.1080/00028487.2013.862185 https://afspubs.onlinelibrary.wiley.com/doi/pdf/10.1080/00028487.2013.862185 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Transactions of the American Fisheries Society volume 143, issue 3, page 573-585 ISSN 0002-8487 1548-8659 journal-article 2014 crwiley https://doi.org/10.1080/00028487.2013.862185 2024-05-03T12:01:58Z Abstract Fishery managers need robust ways of objectively estimating the quantitative composition of fish stocks, by species and age‐class, from representative samples of populations. Dual‐frequency identification sonar data were used to first visually identify fish to a broad taxon (Salmonidae). Subsequently, kernel‐density estimations, based on calibrated size‐at‐age data for the possible component species, were used to assign sonar observations both to species (Atlantic Salmon Salmo salar or Brown Trout Salmo trutta ) and age‐classes within species. The calculations are illustrated for alternative sets of calibration data. To obtain close and relevant fits, the approach fundamentally relies on having accurate and fully representative subcomponent distributions. Firmer inferences can be made if the component data sets correspond closely to the target information in both time and space. Given carefully chosen suites of component data, robust population composition estimates with narrow confidence intervals were obtained. General principles are stated, which indicate when such methods might work well or poorly. Article in Journal/Newspaper Atlantic salmon Salmo salar Wiley Online Library Transactions of the American Fisheries Society 143 3 573 585 |
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Open Polar |
collection |
Wiley Online Library |
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crwiley |
language |
English |
description |
Abstract Fishery managers need robust ways of objectively estimating the quantitative composition of fish stocks, by species and age‐class, from representative samples of populations. Dual‐frequency identification sonar data were used to first visually identify fish to a broad taxon (Salmonidae). Subsequently, kernel‐density estimations, based on calibrated size‐at‐age data for the possible component species, were used to assign sonar observations both to species (Atlantic Salmon Salmo salar or Brown Trout Salmo trutta ) and age‐classes within species. The calculations are illustrated for alternative sets of calibration data. To obtain close and relevant fits, the approach fundamentally relies on having accurate and fully representative subcomponent distributions. Firmer inferences can be made if the component data sets correspond closely to the target information in both time and space. Given carefully chosen suites of component data, robust population composition estimates with narrow confidence intervals were obtained. General principles are stated, which indicate when such methods might work well or poorly. |
author2 |
European Regional Development Fund |
format |
Article in Journal/Newspaper |
author |
Gurney, W. S. C. Brennan, Louise O. Bacon, P. J. Whelan, K. F. O'Grady, Martin Dillane, Eileen McGinnity, P. |
spellingShingle |
Gurney, W. S. C. Brennan, Louise O. Bacon, P. J. Whelan, K. F. O'Grady, Martin Dillane, Eileen McGinnity, P. Objectively Assigning Species and Ages to Salmonid Length Data from Dual‐Frequency Identification Sonar |
author_facet |
Gurney, W. S. C. Brennan, Louise O. Bacon, P. J. Whelan, K. F. O'Grady, Martin Dillane, Eileen McGinnity, P. |
author_sort |
Gurney, W. S. C. |
title |
Objectively Assigning Species and Ages to Salmonid Length Data from Dual‐Frequency Identification Sonar |
title_short |
Objectively Assigning Species and Ages to Salmonid Length Data from Dual‐Frequency Identification Sonar |
title_full |
Objectively Assigning Species and Ages to Salmonid Length Data from Dual‐Frequency Identification Sonar |
title_fullStr |
Objectively Assigning Species and Ages to Salmonid Length Data from Dual‐Frequency Identification Sonar |
title_full_unstemmed |
Objectively Assigning Species and Ages to Salmonid Length Data from Dual‐Frequency Identification Sonar |
title_sort |
objectively assigning species and ages to salmonid length data from dual‐frequency identification sonar |
publisher |
Wiley |
publishDate |
2014 |
url |
http://dx.doi.org/10.1080/00028487.2013.862185 https://afspubs.onlinelibrary.wiley.com/doi/pdf/10.1080/00028487.2013.862185 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Transactions of the American Fisheries Society volume 143, issue 3, page 573-585 ISSN 0002-8487 1548-8659 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1080/00028487.2013.862185 |
container_title |
Transactions of the American Fisheries Society |
container_volume |
143 |
container_issue |
3 |
container_start_page |
573 |
op_container_end_page |
585 |
_version_ |
1800748247608721408 |