Quantifying annual variation in catchability for commercial and research fishing

Biomass indices, from commercial catch per unit of effort (CPUE) or random trawl surveys, are commonly used in fisheries stock assessments. Uncertainty in such indices, often ex-pressed as a coefficient of variation (CV), has two components: observation error, and annual variation in catchability. Only the former can be estimated directly. As a result, the CVs used for these indices either ignore the annual-variation component or assume a value for it (often implicitly). Two types of data for New Zealand stocks were examined: 48 sets of residuals and catchability estimates from stock assessments using either CPUE or trawl survey indices; and biomass estimates from 17 time series of trawl surveys with between 4 and 25 species per time series. These data show clear evidence of significant annual variation in catchability. With the trawl survey data, catchability was detectably extreme for many species in about one year in six. The assessment data suggest that this annual variability typically has a CV of about 0.2. For commercial CPUE the variability is slightly less, and a typical total CV (including both components) of 0.15 to 0.2. This is much less than the values of 0.3 to 0.35 that have commonly been assumed in New Zealand. Some estimates of catchability are shown to be implausible.

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Main Authors: Francis, Chris R. I. C., Hurst, Rosemary J., Renwick, James A.
Format: article biblioteca
Language:English
Published: 2003
Subjects:Fisheries, Management,
Online Access:http://hdl.handle.net/1834/30977
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spelling dig-aquadocs-1834-309772021-07-03T03:30:23Z Quantifying annual variation in catchability for commercial and research fishing Francis, Chris R. I. C. Hurst, Rosemary J. Renwick, James A. Fisheries Management Biomass indices, from commercial catch per unit of effort (CPUE) or random trawl surveys, are commonly used in fisheries stock assessments. Uncertainty in such indices, often ex-pressed as a coefficient of variation (CV), has two components: observation error, and annual variation in catchability. Only the former can be estimated directly. As a result, the CVs used for these indices either ignore the annual-variation component or assume a value for it (often implicitly). Two types of data for New Zealand stocks were examined: 48 sets of residuals and catchability estimates from stock assessments using either CPUE or trawl survey indices; and biomass estimates from 17 time series of trawl surveys with between 4 and 25 species per time series. These data show clear evidence of significant annual variation in catchability. With the trawl survey data, catchability was detectably extreme for many species in about one year in six. The assessment data suggest that this annual variability typically has a CV of about 0.2. For commercial CPUE the variability is slightly less, and a typical total CV (including both components) of 0.15 to 0.2. This is much less than the values of 0.3 to 0.35 that have commonly been assumed in New Zealand. Some estimates of catchability are shown to be implausible. 2021-06-24T17:03:43Z 2021-06-24T17:03:43Z 2003 article TRUE 0090-0656 http://hdl.handle.net/1834/30977 en http://fishbull.noaa.gov/1012/07franci.pdf application/pdf application/pdf 293-304 http://aquaticcommons.org/id/eprint/15124 403 2014-05-29 06:57:25 15124 United States National Marine Fisheries Service
institution UNESCO
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-aquadocs
tag biblioteca
region Europa del Oeste
libraryname Repositorio AQUADOCS
language English
topic Fisheries
Management
Fisheries
Management
spellingShingle Fisheries
Management
Fisheries
Management
Francis, Chris R. I. C.
Hurst, Rosemary J.
Renwick, James A.
Quantifying annual variation in catchability for commercial and research fishing
description Biomass indices, from commercial catch per unit of effort (CPUE) or random trawl surveys, are commonly used in fisheries stock assessments. Uncertainty in such indices, often ex-pressed as a coefficient of variation (CV), has two components: observation error, and annual variation in catchability. Only the former can be estimated directly. As a result, the CVs used for these indices either ignore the annual-variation component or assume a value for it (often implicitly). Two types of data for New Zealand stocks were examined: 48 sets of residuals and catchability estimates from stock assessments using either CPUE or trawl survey indices; and biomass estimates from 17 time series of trawl surveys with between 4 and 25 species per time series. These data show clear evidence of significant annual variation in catchability. With the trawl survey data, catchability was detectably extreme for many species in about one year in six. The assessment data suggest that this annual variability typically has a CV of about 0.2. For commercial CPUE the variability is slightly less, and a typical total CV (including both components) of 0.15 to 0.2. This is much less than the values of 0.3 to 0.35 that have commonly been assumed in New Zealand. Some estimates of catchability are shown to be implausible.
format article
topic_facet Fisheries
Management
author Francis, Chris R. I. C.
Hurst, Rosemary J.
Renwick, James A.
author_facet Francis, Chris R. I. C.
Hurst, Rosemary J.
Renwick, James A.
author_sort Francis, Chris R. I. C.
title Quantifying annual variation in catchability for commercial and research fishing
title_short Quantifying annual variation in catchability for commercial and research fishing
title_full Quantifying annual variation in catchability for commercial and research fishing
title_fullStr Quantifying annual variation in catchability for commercial and research fishing
title_full_unstemmed Quantifying annual variation in catchability for commercial and research fishing
title_sort quantifying annual variation in catchability for commercial and research fishing
publishDate 2003
url http://hdl.handle.net/1834/30977
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