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. P...

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Main Authors: Brooks, Elizabeth N, Legault, Christopher M.
Format: Article in Journal/Newspaper
Language:unknown
Published: NRC Research Press (a division of Canadian Science Publishing) 2015
Subjects:
Online Access:http://hdl.handle.net/1807/71744
http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0163
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spelling ftunivtoronto:oai:localhost:1807/71744 2023-05-15T17:45:44+02:00 Retrospective forecasting - evaluating performance of stock projections for New England groundfish stocks Brooks, Elizabeth N Legault, Christopher M. 2015-11-13 http://hdl.handle.net/1807/71744 http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0163 unknown NRC Research Press (a division of Canadian Science Publishing) 0706-652X http://hdl.handle.net/1807/71744 http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0163 Article 2015 ftunivtoronto 2020-06-17T11:58:32Z 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 to 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 (Na,T+1). Recruitment was responsible for more bias in projections beyond three 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 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. The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author. Article in Journal/Newspaper Northwest Atlantic University of Toronto: Research Repository T-Space
institution Open Polar
collection University of Toronto: Research Repository T-Space
op_collection_id ftunivtoronto
language unknown
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 to 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 (Na,T+1). Recruitment was responsible for more bias in projections beyond three 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 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. The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author.
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 NRC Research Press (a division of Canadian Science Publishing)
publishDate 2015
url http://hdl.handle.net/1807/71744
http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0163
genre Northwest Atlantic
genre_facet Northwest Atlantic
op_relation 0706-652X
http://hdl.handle.net/1807/71744
http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0163
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