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Accounting for cohort-specific variable growth in fisheries stock assessments: a case study from south-eastern Australia

Citation

Whitten, AR and Klaer, NL and Tuck, GN and Day, RW, Accounting for cohort-specific variable growth in fisheries stock assessments: a case study from south-eastern Australia, Fisheries Research, 142 pp. 27-36. ISSN 0165-7836 (2013) [Refereed Article]


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DOI: doi:10.1016/j.fishres.2012.06.021

Abstract

Modern statistical fishery stock assessment models rarely account for temporal variability in mean length-at-age, and almost never describe cohort-specific effects. This study employs techniques for discerning temporal change to mean length-at-age from fisheries data and introduces recently developed stock assessment methods to account for this variability. Using Stock Synthesis, a statistical catch-at-age modelling framework, a stock assessment to account for cohort-specific variability in mean length-at- age was developed for blue grenadier, Macruronus novaezelandiae, an important commercial species in Australia’s Southern and Eastern Scalefish and Shark Fishery. Key outputs of a standard stock assessment model that assumes static growth were compared to those of an alternative model that accounts for observed variability in length-at-age. Comparisons show that accounting for variable growth provides a better fit to time-series data and results in significant differences to key population estimates. These differences have implications for the estimation of quantities important to management and thus to scientific advice regarding recommended catch levels.

Item Details

Item Type:Refereed Article
Keywords:variable growth, stock assessment, integrated analysis, stock synthesis
Research Division:Agricultural and Veterinary Sciences
Research Group:Fisheries Sciences
Research Field:Fisheries Sciences not elsewhere classified
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - Wild Caught
Objective Field:Fisheries - Wild Caught not elsewhere classified
Author:Tuck, GN (Dr Geoffrey Tuck)
ID Code:119516
Year Published:2013
Web of Science® Times Cited:14
Deposited By:Centre for Fisheries and Aquaculture
Deposited On:2017-08-02
Last Modified:2017-08-02
Downloads:0

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