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Empirical harvest strategies for data-poor fisheries: a review of the literature


Dowling, NA and Dichmont, CM and Haddon, M and Smith, DC and Smith, ADM and Sainsbury, K, Empirical harvest strategies for data-poor fisheries: a review of the literature, Fisheries Research, 171 pp. 141-153. ISSN 0165-7836 (2015) [Refereed Article]

Copyright Statement

Crown copyright 2014

DOI: doi:10.1016/j.fishres.2014.11.005


Harvest strategy approaches based around empirical indicators and/or control rules are beginning to be accepted in a growing range of data- and capacity-poor fisheries. While there is an increasing body of work around developing empirical indicators and control rules in data-poor contexts, this has typically been done on a case-specific basis. There remains a need for general guidance on formulating control rules that link empirical indicators with suitable management responses. Additionally, in the data-poor context, most literature has focused on empirical indicators and assessments, with less focus on decision rules and the incorporation of indicators and assessments in a harvest strategy framework. This review considers a range of harvest strategy options, focusing on empirical indicators and decision rules available for data-poor species and fisheries. These clearly illustrate that a paucity of information is not a reason to avoid developing harvest strategies, and that a range of pragmatic approaches are available regardless of the available data, life-history of the target species, nature of fishing operations, or the available research capacity. There is considerable scope for further work in this field, but arguably there is a comprehensive repository of approaches and decision rules that, when combined with the guidelines, form a solid foundation and toolkit for all but the most data-poor species and fisheries.

Item Details

Item Type:Refereed Article
Keywords:data-poor fisheries, data-poor harvest strategies, empirical harvest strategies, empirical decision rules, harvest strategy framework, literature review
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Fisheries sciences
Research Field:Fisheries management
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - wild caught
Objective Field:Fisheries - wild caught not elsewhere classified
UTAS Author:Sainsbury, K (Professor Keith Sainsbury)
ID Code:107027
Year Published:2015
Web of Science® Times Cited:63
Deposited By:IMAS Research and Education Centre
Deposited On:2016-03-02
Last Modified:2017-11-04

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