10 results
Industry
PROJECT NUMBER • 2017-019
PROJECT STATUS:
COMPLETED

Freshwater fish attracting structures (FAS): Evaluating a new tool to improve fishing quality and access to fisheries resources in Australian impoundments

This document has been compiled from various sources and, to the authors’ knowledge, represents the best advice currently available regarding the use of fish attracting structures to improve recreational angling in Australian impoundments. Although the principles outlined in this document may...
ORGANISATION:
Department of Primary Industries (QLD)
Environment
PROJECT NUMBER • 2021-119
PROJECT STATUS:
COMPLETED

Improving bycatch reduction strategies and escape vents in Queensland Mud Crab fisheries

The Queensland Crab Fishery is an iconic fishery, which encompasses the harvest of mud crabs (Scylla serrata, the Giant Mud Crab, and Scylla olivacea, the Orange Mud Crab) and Blue Swimmer Crabs (Portunus armatus and Portunus pelagicus), predominately using baited crab pots of various designs. The...
ORGANISATION:
Department of Primary Industries (QLD)
SPECIES
Environment
PROJECT NUMBER • 2017-047
PROJECT STATUS:
COMPLETED

Understanding environmental and fisheries factors causing fluctuations in mud crab and blue swimmer crab fisheries in northern Australia to inform harvest strategies

This project investigated relationships between environmental factors and harvests of crabs in the Gulf of Carpentaria (GoC), northern Australia. Desktop correlative analyses clearly indicated that recent fluctuations in the catches of Giant Mud Crabs in the GoC are most likely driven by...
ORGANISATION:
Department of Primary Industries (QLD)
Environment
Environment
PROJECT NUMBER • 2019-062
PROJECT STATUS:
CURRENT

Knowledge to improve the assessment and management of Giant Mud Crabs (Scylla serrata) in Queensland

Researchers from the Department of Agriculture and Fisheries (DAF) Queensland, CQUniversity (CQU) and the Department of Primary Industries (DPI) NSW Fisheries are collaborating on a Fisheries Research and Development (FRDC) co-funded research project on mud crab populations in Queensland. The...
ORGANISATION:
Department of Primary Industries (QLD)
SPECIES
Environment

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.
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