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Empirical harvest strategies for data-poor fisheries: a review of the literature
Citation
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
Abstract
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 |
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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 |
Downloads: | 0 |
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