Retrospective forecasting — evaluating performance of stock projections for New England groundfish stocks

Projections are used to explore scenarios for catch advice and rebuilding and are an important tool for sustainably managing fisheries. We tested each projection specification for 12 groundfish stocks in the Northwest Atlantic to identify sources of bias and evaluate techniques for reducing bias. Pr...

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Published in:Canadian Journal of Fisheries and Aquatic Sciences
Main Authors: Brooks, Elizabeth N., Legault, Christopher M.
Other Authors: Wilberg, Michael
Format: Article in Journal/Newspaper
Language:English
Published: Canadian Science Publishing 2016
Subjects:
Online Access:http://dx.doi.org/10.1139/cjfas-2015-0163
http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2015-0163
http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2015-0163
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spelling crcansciencepubl:10.1139/cjfas-2015-0163 2024-06-23T07:55:41+00:00 Retrospective forecasting — evaluating performance of stock projections for New England groundfish stocks Brooks, Elizabeth N. Legault, Christopher M. Wilberg, Michael 2016 http://dx.doi.org/10.1139/cjfas-2015-0163 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2015-0163 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2015-0163 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 73, issue 6, page 935-950 ISSN 0706-652X 1205-7533 journal-article 2016 crcansciencepubl https://doi.org/10.1139/cjfas-2015-0163 2024-06-06T04:11:18Z Projections are used to explore scenarios for catch advice and rebuilding and are an important tool for sustainably managing fisheries. We tested each projection specification for 12 groundfish stocks in the Northwest Atlantic to identify sources of bias and evaluate techniques for reducing bias. Projections were made from assessments using virtual population analysis (VPA) with 1–7 years of recent data removed from the full time series and were then compared with results from a VPA assessment on the full time series of data. The main source of bias in projections was the assessment model estimates of the numbers at age in the terminal model year + 1 (N a,T+1 ). Recruitment was responsible for more bias in projections beyond 3 years, when population numbers begin to be dominated by cohorts that were statistically generated. Retrospective analysis was performed and several adjustment factors to reduce bias were tested. Even after adjusting for bias, the remaining bias in projections was non-negligible. The direction of bias generally resulted in projected spawning stock biomass (SSB) and catch being overestimated, and the bias in catch was nearly always larger than in SSB. Scientists need to clearly communicate the direction and magnitude of this bias, managers need to consider this additional uncertainty when specifying future catch limits, and both scientists and managers need to develop more robust control rules so that objectives are achieved. Article in Journal/Newspaper Northwest Atlantic Canadian Science Publishing Canadian Journal of Fisheries and Aquatic Sciences 73 6 935 950
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language English
description Projections are used to explore scenarios for catch advice and rebuilding and are an important tool for sustainably managing fisheries. We tested each projection specification for 12 groundfish stocks in the Northwest Atlantic to identify sources of bias and evaluate techniques for reducing bias. Projections were made from assessments using virtual population analysis (VPA) with 1–7 years of recent data removed from the full time series and were then compared with results from a VPA assessment on the full time series of data. The main source of bias in projections was the assessment model estimates of the numbers at age in the terminal model year + 1 (N a,T+1 ). Recruitment was responsible for more bias in projections beyond 3 years, when population numbers begin to be dominated by cohorts that were statistically generated. Retrospective analysis was performed and several adjustment factors to reduce bias were tested. Even after adjusting for bias, the remaining bias in projections was non-negligible. The direction of bias generally resulted in projected spawning stock biomass (SSB) and catch being overestimated, and the bias in catch was nearly always larger than in SSB. Scientists need to clearly communicate the direction and magnitude of this bias, managers need to consider this additional uncertainty when specifying future catch limits, and both scientists and managers need to develop more robust control rules so that objectives are achieved.
author2 Wilberg, Michael
format Article in Journal/Newspaper
author Brooks, Elizabeth N.
Legault, Christopher M.
spellingShingle Brooks, Elizabeth N.
Legault, Christopher M.
Retrospective forecasting — evaluating performance of stock projections for New England groundfish stocks
author_facet Brooks, Elizabeth N.
Legault, Christopher M.
author_sort Brooks, Elizabeth N.
title Retrospective forecasting — evaluating performance of stock projections for New England groundfish stocks
title_short Retrospective forecasting — evaluating performance of stock projections for New England groundfish stocks
title_full Retrospective forecasting — evaluating performance of stock projections for New England groundfish stocks
title_fullStr Retrospective forecasting — evaluating performance of stock projections for New England groundfish stocks
title_full_unstemmed Retrospective forecasting — evaluating performance of stock projections for New England groundfish stocks
title_sort retrospective forecasting — evaluating performance of stock projections for new england groundfish stocks
publisher Canadian Science Publishing
publishDate 2016
url http://dx.doi.org/10.1139/cjfas-2015-0163
http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2015-0163
http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2015-0163
genre Northwest Atlantic
genre_facet Northwest Atlantic
op_source Canadian Journal of Fisheries and Aquatic Sciences
volume 73, issue 6, page 935-950
ISSN 0706-652X 1205-7533
op_rights http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining
op_doi https://doi.org/10.1139/cjfas-2015-0163
container_title Canadian Journal of Fisheries and Aquatic Sciences
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