File(s) not publicly available
Management strategies for short lived species: The case of Australia's Northern Prawn Fishery 3. Factors affecting management and estimation performance
journal contribution
posted on 2023-05-16, 18:41 authored by Dichmont, CM, Deng, AR, Punt, AE, Venables, W, Malcolm HaddonMalcolm HaddonManagement strategies for tiger prawns, Penaeus semisulcatus and P. esculentus, in Australia's Northern Prawn Fishery (NPF), are evaluated in terms of conservation- and economic-related performance measures. A two-stage process is used to determine the factors to which these performance measures are most sensitive. The first stage involves identifying the possible factors and their interactions, constructing a partial factorial design to allow the impact of first- and second-order interactions on the performance measures to be identified, and analysing the resultant performance measures using generalised linear models. The second stage entails an experiment based on a balanced design of the possible combinations of the key factors. The factors found to have the greatest impact on the performance measures are: (a) how fishing efficiency has changed over time and whether or not the assessment is based on the correct trend in fishing efficiency, (b) the catchability coefficient used to convert from fishing effort to fishing mortality, (c) the difference between the intended fishing effort and the actual fishing effort expended (implementation error), and (d) whether recruitment is spatially correlated among stocks or not. © 2006 Elsevier B.V. All rights reserved.
History
Publication title
Fisheries ResearchVolume
82Issue
1-3Pagination
235-245ISSN
0165-7836Department/School
Institute for Marine and Antarctic StudiesPublisher
ElsevierPlace of publication
Amersterdam, The NertherlandsRepository Status
- Restricted
Socio-economic Objectives
Fisheries - wild caught not elsewhere classifiedUsage metrics
Categories
Keywords
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC