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Among-stock comparisons for improving stock assessments of data-poor stocks: the 'Robin Hood' approach

Citation

Punt, AE and Smith, DC and Smith, ADM, Among-stock comparisons for improving stock assessments of data-poor stocks: the 'Robin Hood' approach, ICES Journal of Marine Science, 68, (5) pp. 972-981. ISSN 1054-3139 (2011) [Refereed Article]

Copyright Statement

Copyright 2011 International Council for the Exploration of the Sea

DOI: doi:10.1093/icesjms/fsr039

Abstract

An approach is outlined for conducting stock assessments in which parameters are estimated for multiple stocks at the same time. Information from data-rich stock assessments, e.g. trends in fishing mortality, and values for parameters of selectivity functions are provided to data-poor assessments in the form of penalties on the estimated parameters, which leads to stock assessments for the most data-poor stocks being informed by those for the most data-rich stocks. The method is applied for example purposes to data for nine stocks in Australias southern and eastern scalefish and shark fishery. The results of the application confirm that results for data-rich stocks are little impacted by being assessed in conjunction with data-poor stocks and that the results for data-poor stocks can be qualitatively different when information for data-rich stocks is taken into account.

Item Details

Item Type:Refereed Article
Keywords:Australia, catch-at-age, analysis, data-poor stocks, stock assessment
Research Division:Agricultural and Veterinary Sciences
Research Group:Fisheries Sciences
Research Field:Aquatic Ecosystem Studies and Stock Assessment
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - Wild Caught
Objective Field:Fisheries - Wild Caught not elsewhere classified
Author:Smith, DC (Dr David Smith)
Author:Smith, ADM (Dr Tony Smith)
ID Code:119844
Year Published:2011
Web of Science® Times Cited:48
Deposited By:Centre for Fisheries and Aquaculture
Deposited On:2017-08-07
Last Modified:2017-10-11
Downloads:0

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