388 results
Environment
PROJECT NUMBER • 2017-119
PROJECT STATUS:
COMPLETED

Developing novel remote camera approaches to assess and monitor the population status of Australian sea lions

This project trialled the use of remote cameras to monitor the relative abundance of Australian sea lions (ASLs, Neophoca cinerea) at three Western Australian (WA) breeding colonies. The research was undertaken by the Department of Primary Industries and Regional Development (DPIRD) to assess...
ORGANISATION:
Department of Primary Industries and Regional Development (DPIRD) WA

Custom training and technical support for the fishery stock assessment software ‘stock synthesis’

Project number: 2018-168
Project Status:
Completed
Budget expenditure: $77,220.00
Principal Investigator: Michael F. O'Neill
Organisation: Department of Primary Industries (QLD)
Project start/end date: 31 Mar 2019 - 29 Jun 2020
Contact:
FRDC

Need

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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Industry
PROJECT NUMBER • 2019-208
PROJECT STATUS:
COMPLETED

2020-2025 Strategic Plan for the Australian Oyster Industry

The primary purpose of this plan is to coordinate oyster industry research, development, and extension (RD&E) across Australia to ensure that usable outputs are provided to oyster businesses. The plan outlines a set of RD&E programs and a list of priority projects for which research...
ORGANISATION:
Oysters Australia Ltd
Industry
PROJECT NUMBER • 2018-097
PROJECT STATUS:
COMPLETED

Survey of Enterprise-level Biosecurity across the Australian Aquaculture Industry

The Australian Government Department of Agriculture and Water Resources (the department) commissioned the independent research company Instinct and Reason to conduct a survey aimed at farm owners/managers in the Australian aquaculture industry. The survey aimed to investigate the level of...
ORGANISATION:
Instinct and Reason
Adoption
PROJECT NUMBER • 2018-180
PROJECT STATUS:
COMPLETED

Benchmarking for health and productivity in aquaculture

Benchmarking is a form of evaluation undertaken by comparing a measure with a standard. With its widespread adoption across many industries, benchmarking was identified as an important area for development in aquatic industries through the national strategic plan for aquatic animal health (AQUAPLAN...
ORGANISATION:
Agriculture Victoria
Industry
PROJECT NUMBER • 2017-057
PROJECT STATUS:
COMPLETED

Stock predictions and spatial population indicators for Australia's east coast saucer scallop fishery

This project undertook analyses to understand the role of overfishing and the environment on saucer scallops. The analyses indicated reduced numbers of spawning scallops. Historical levels of fishing and environmental influences such as from increased sea surface temperatures (SST) have amplified...
ORGANISATION:
Department of Primary Industries (QLD)
Blank
PROJECT NUMBER • 2019-013
PROJECT STATUS:
COMPLETED

Modelling environmental changes and effects on wild-caught species in Queensland

This project studied environmental factors which may be influencing the recruitment, catchability or productivity of Snapper, Pearl Perch, and Spanner Crab stocks in Queensland. Two environmental variables: GSLA and Chl-a were found to have strong associations with either abundance or catchability...
ORGANISATION:
University of Queensland (UQ)
Industry
PROJECT NUMBER • 2018-094
PROJECT STATUS:
COMPLETED

CRC Northern Australia - Biosecurity in northern Australian prawn aquaculture

The objectives of the Cooperative Research Centre for Developing Northern Australia (CRCNA) Improving Biosecurity in Northern Australia prawn farms (A.3.1718113) were to obtain an overview of the pathogens and the level of protection provided by the current biosecurity practices that occur in prawn...
ORGANISATION:
Australian Prawn Farmers Association (APFA)
Industry
PROJECT NUMBER • 2018-068
PROJECT STATUS:
COMPLETED

Non-market values to inform decision-making and reporting in fisheries and aquaculture – an audit and gap analysis

This study examined the issues around non-market values requirements and identified potential sources of robust and defensible estimates of key values, including those generally viewed as difficult to measure. The project identified thirteen types of non-market values that fisheries and...
ORGANISATION:
Queensland University of Technology (QUT)
Industry
PROJECT NUMBER • 2017-077
PROJECT STATUS:
COMPLETED

Research, Development and Extension Strategic Planning Workshop for NSW Commercial Fishing Industry

This project is aimed to develop a New South Wales (NSW) Commercial Wild Catch Fishing Industry research Development & Extension (RD&E) Strategic Plan for 2018-2023 to ensure relevant and strategic priorities are set for the industry. The plan was based on the development of a...
ORGANISATION:
Professional Fishers Association (PFA)
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