Project number: 2000-101
Project Status:
Budget expenditure: $128,294.00
Principal Investigator: Tony D. Smith
Organisation: CSIRO Oceans and Atmosphere Hobart
Project start/end date: 16 Oct 2000 - 15 Mar 2004


Given AFMA’s need to satisfy its ESD objective, there is a need to consider uncertainty explicitly and identify performance indicators and harvest strategies that are as robust as possible to incorrect assumptions and misinformed interpretations of data. Use of these indicators and harvest strategies will improve the chances of achieving a reasonable balance between the conflicting objectives of long-term resource sustainability and the maximisation of economic gains.

The project also addresses to some extent two key research areas in subprogram (B) of the Wild Stock Program of the SCFA Research Committee: “Biological and socio-economic evaluation of alternative management scenarios for different species and categories of fishery to provide a framework for management planning” and “The evaluation and provision of harvest strategy models through comparison of management strategies using theory and case studies, establishing objective performance indicators for different jurisdictions and identifying options which are appropriate to the nature of the fishery”.

FRDC project 98/102 has already identified several areas where there is considerable uncertainty. However, that project has focussed on ‘generic’ data-poor species (although tailored to some extent to the actual situation for jackass morwong, pink ling, tiger flathead and spotted warehou, species that have been identified as ‘high' and 'medium' priority by SEFAG). Ideally, harvest strategy calculations should be tailored to particular species to achieve optimal outcomes. This project will evaluate harvest strategies for the four species that received initial focus in FRDC 98/102. FRDC 98/102 also focused on situations in which the fishery is based on a single gear-type only. However, it is increasingly being realised within SEFAG that even within the trawl sector there are sub-fleets, each of which differ substantially in terms of their selectivity. For example, for blue warehou, the trawl fleet off New South Wales has a selectivity pattern closer to that of the non-trawl fleet based at Lakes Entrance than that of the trawl fleet based in Portland.

One of AFMAs legislative objectives relates to providing cost-effective management. Increasingly industry is being expected to bear some of the costs associated with the monitoring on which stock assessments and hence TACs are based. There is therefore a need for an objective process for determining the trade-off between monitoring costs and the ability to which AFMAs management objectives are satisfied. The aim of this study is to examine this question within the scope of the trade-off between catch and risk.

Finally, there is a major need for stock assessment on more species in the SEF. However, although data for many species is poor, there are nevertheless fewer assessments than there could be due to a lack of software for conducting the increasingly complicated assessments demanded by stakeholders. FRDC 98/102 has developed software modules for implementing several commonly applied stock assessment methods (including “Integrated Analysis” – the basis for the current assessments for blue grenadier, school whiting, eastern gemfish, and blue warehou). If the detailed output from the software that implements these assessment methods could be available in an easily useable and visual form, this software could provide a better basis for conducting routine stock assessments.


1. To extend the general SEF operating model for evaluating harvest strategies and performance indicators to deal with fisheries subject to exploitation using multiple gear-types / fleets.
2. To develop a user interface for the software used to conduct stock assessments and evaluate harvest strategies in the SEF, and to improve the presentation for non-experts (non-quantitative biologists, managers and industry) who may wish to use the software.
3. To parameterise the general operating model using the actual data for redfish, pink ling, tiger flathead, and spotted warehou and hence select robust assessment methods and harvest strategies for these species.
4. To evaluate the costs and benefits associated with different data acquisition strategies for these species (with particular reference to fishery-independent survey techniques).
5. To develop the modeling software in a manner which lends itself to tailoring (by CSIRO and other agencies) to suit other Commonwealth or State fisheries.

Final report

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