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The Queensland Government Department of Agriculture and Fisheries (DAF) aims to manage fisheries utilising the best available science taking into account environmental, economic, social and cultural impacts.
Through the Government’s Sustainable Fisheries Strategy (SFS, 2018–2020), plans are actioned to establish regular stock assessments (ongoing annually or at least every two years) to provide the science for assessing key fishery stocks against reference points.
To conduct regular stock assessments of finfish, Fisheries Queensland and the SFS expert panel have directed DAF staff to investigate the use of off-the-shelf stock-assessment models. This recommendation is for delivery of recurring information to support fishery harvest strategies; and followed a review to support the use of common stock assessment methods and models (FRDC Research Code: 2014-039; http://www.frdc.com.au/media-and-publications/fish/fish-vol-26-3/skills-shortage-forecast-for-stock-assessments). This proposal is to progress Qld’s adoption of FRDC recommendations and research: project 2014-039.
DAF’s training needs are by 31st May 2019.
The aim for this training is to build stock assessment systems for DAF and help support similar national needs in Australia.

Objectives

1. DAF scientists to learn SS methodology and assumptions.

2. After 5-day course, DAF scientists to be proficient in the use of SS software with R

3. Produce 3–4 updated DAF finfish stock assessments through the 5-day course

4. Publish on success, outputs and findings of SS

5. Improve speed on future reassessments of fish stocks

Final report

ISBN: 978-0-7345-0464-7

Authors: M. F. O’Neill R. Lovett P. Bessell-Browne S. Streipert G. Leigh A. Campbell A. Northrop J. Wortmann F. Helidoniotis W.-H. Yang M. Holden and S. French.

Final Report • 2020-02-01 • 2.75 MB

2018-168-DLD.pdf

Summary

This is a report on ‘stock synthesis’ software training by CSIRO. Noted are training outputs and learnings, together with an assessment of what role stock synthesis (SS) may play in Department of Agriculture and
Fisheries (DAF) fish stock assessments. Findings suggest SS could potentially assess 50–60% of the fish species currently listed for Queensland stock assessment.
Reports on SS herein represent initial views after training. SS views may change in time with individuals, and with more use and learnings of the software.

PROJECT NUMBER • 2018-167

PROJECT STATUS:

COMPLETED

Seafood Industry Engagement and input into the development of the Australia-European Union Free Trade Agreement

ORGANISATION:

Jim Fitzgerald and Associates

TAGS

Trade

Non-Tariff Measures

PROJECT NUMBER • 2018-166

PROJECT STATUS:

CURRENT

Australian Prawn Farms - Emerging disease investigation

This project was developed by Future Fisheries Veterinary Service (FFVS) in collaboration with Australian Prawn Farms (APF), James Cook University (JCU) Aqua Path laboratory, Queensland Biosecurity Sciences Laboratory (BSL) and the University of Adelaide (UofA). Unprecedented mortality events...

ORGANISATION:

Australian Prawn Farms Pty Ltd

SPECIES

Black Tiger Prawn

PROJECT NUMBER • 2018-165

PROJECT STATUS:

COMPLETED

Easy Open Oyster Machine Upgrade

ORGANISATION:

Dr Len Stephens

SPECIES

Pacific Oyster

PROJECT NUMBER • 2018-164

PROJECT STATUS:

COMPLETED

Commercial production trial with high POMS tolerant triploid Pacific Oysters in approved NSW estuaries.

This report details a collaborative "proof of concept" project undertaken to investigate the opportunity to reinvigorate the triploid Pacific oyster farming industry in NSW estuaries affected by Pacific Oyster Mortality Syndrome (POMS). The participating organisations were Australian Seafood...

ORGANISATION:

Australian Seafood Industries Pty Ltd (ASI)

TAGS

SPECIES

PROJECT NUMBER • 2018-162

PROJECT STATUS:

CURRENT

On Board Processing and Packaging Innovation in the Australian Wild Harvest Prawn Fishery

ORGANISATION:

Fight Food Waste Cooperative Research Centre

SPECIES

Banana Prawns

Endeavour Prawns

Prawns

National Social and Economic Survey of Recreational Fishers 2019

Project number: 2018-161

Project Status:

Current

Budget expenditure: $1,233,986.95

Principal Investigator: Andy (Anthony) Moore

Organisation: University of Canberra

Project start/end date: 3 Mar 2019 - 19 Jun 2021

Contact:

FRDC

TAGS

Need

Currently there is a lack of national scale, consistent and robust data on the motivations and behaviours of recreational fishers, and lack of robust data on the social and economic contribution of recreational fishing. Where many commercial fisheries have regular collection and estimation process for economic data, this is not the case for recreational fishing in most of Australia. This lack of data also includes behaviour and motivations and how they are changing. These data are useful for informing discussions on resource allocation and in understanding and managing recreational fisheries more generally. If these data are to be used to inform governments and the general public, there is a need to make sure it is collected in a robust way that is representative of the Australian population. Large scale representative data sets are often expensive to acquire and as a result do not get undertaken regularly. One off surveys only provide useful data for any particular point in time, but understanding trends can often be more useful. This study aims to implement and test methodologies to provide a robust and representative sample, while trying to reduce costs to allow for more regular data gathering. To do this requires addressing another need: that of testing new survey methodologies for collecting data from recreational fishers that enables assessment of social and economic contribution. Recreational fishing surveys traditionally use probability based phone or mail surveys, however both methods are experiencing rapid decline in response rates and representativeness. It is expected that going into the future, online surveys that use a range of appropriate recruitment methods will be the most common survey method. There is a need to invest in establishing robust approaches to using these methods, and in understanding how their findings differ to those of traditional probability based surveys.

Objectives

1. Assess social and economic contribution of recreational fishing using multiple methods, including direct and flow-on economic benefits, and market and non-market benefits

2. Identify which approaches to recruiting survey participants and completing surveys produce the most representative and robust results

3. Recommend most appropriate and cost effective survey method to use to track change social and economic aspects of recreational fishing in Australia over time

Final report

Authors: Moore A Schirmer J Magnusson A Keller K Hinten G Galeano D Woodhams J Wright D Maloney L. Dix A.

Final Report • 2023-02-21 • 5.80 MB

2018-161-NRFS_main report_FINAL_19Feb2023.pdf

Summary

The NRFS involved three stages of data collection. An overview of the three stages of data collection and the purpose of each, and a guide summarising which chapters draw on data from each stage of data collection, are provided in the next section. Sections 3.4, 3.5 and 3.6 provide a detailed description of the methods used to collect and process data in Stages 1, 2 and 3 respectively. These sections explain, for each stage:

The purpose/objectives of data collection
Data collection methods, including design of survey instruments and survey recruitment materials, survey sample recruitment methods and sample achieved
Data processing methods, including data coding and cleaning, and weighting methods.

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