103 results
People
PROJECT NUMBER • 1998-129
PROJECT STATUS:
COMPLETED

Stock assessment review workshop

A three day stock assessment course was presented by Dr Malcolm Haddon of the Australian Maritime College and Dr James Scandol of the Quantitative Training Unit for Fisheries. Techniques such as biomass dynamic and age based modelling were covered. Thereafter, a Stock Assessment Review Workshop,...
ORGANISATION:
Department of Primary Industries (QLD)

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
:

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.
Environment
Environment
Industry
Environment
Industry
PROJECT NUMBER • 2020-020
PROJECT STATUS:
COMPLETED

Determining the spatial distribution and abundance indices for Moreton Bay Bugs, Thenus parindicus and Thenus australiensis in Queensland to improve stock assessment and management

We report on the first comprehensive investigation into the spatial distribution of Moreton Bay Bugs within the Queensland East Coast Otter Trawl Fishery. This research was a collaboration between the Queensland Department of Agriculture and Fisheries and James Cook University, applying...
ORGANISATION:
Department of Primary Industries (QLD)
SPECIES
People
PROJECT NUMBER • 1993-115
PROJECT STATUS:
COMPLETED

Workshop on spawning stock-recruitment relationships (SRRs) in Australian crustacean fisheries

The relationship between spawning stock size and the size of the subsequent recruitment is fundamental to fisheries science. Without a working knowledge of the relationship it is not possible to know how heavily a spawning stock can be fished before recruitment levels begin to decline. Although...
ORGANISATION:
Department of Primary Industries (QLD)
Environment
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)
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