Climate resilient wild catch fisheries
Tactical Research Fund: Nutrient and phytoplankton data from Storm Bay to support sustainable resource planning
Opportunities and impacts of range extending scalefish species: understanding population dynamics, ecosystem impacts and management needs
Species-level responses to ocean warming is a priority research area as they underpin the structure and function of marine ecosystems and the productivity of fisheries that operate within them.
There are a number of range extending species that have become increasingly abundant in Tasmanian waters, providing new fishing opportunities for recreational and, to a lesser extent, commercial fishers. Species in this group include Pink Snapper, King George Whiting and Yellowtail Kingfish. While King George Whiting are known to spawn off the north coast it is unclear as to whether the other species have or are likely to become established as self-sustaining populations in Tasmanian waters or simply persist as spill-over from populations that are centered off mainland Australia. If the former is the case, it will be especially important to consider population attributes such as growth, mortality and reproductive dynamics relevant to the Tasmanian populations when developing and refining management arrangements to maximise the opportunities these 'new' species bring.
In addition, the broader ecosystem impacts of such range extending species, including competition with resident species at similar trophic levels, are unknown but could have consequences for other recreationally and commercially important species. Understanding these relationships will have benefits for the assessment and management of the Tasmanian recreational fishery more generally.
Final report
This work set out to quantify the biology and diet of three key range-shifting species in Tasmania with both recreational and commercial fishery value. The project was heavily reliant on engagement from the recreational fishing community and multiple citizen science initiatives, as well as historical data.
The information collected was used in modelling to predict how suitable habitats for each species may shift under future climate change projections. The work also indicated the potential changes to the ecosystem (such as food web) if these species’ ranges were to move.
Forecasting spatial distribution of Southern Bluefin Tuna habitat in the Great Australian Bight – updating and improving habitat and forecast models
Long-term analysis of the sea-state in the Great Australian Bight
Energy use and carbon emissions assessments in the Australian fishing and aquaculture sectors: Audit, self-assessment and guidance tools for footprint reduction
As identified in the EOI scope and from previous FRDC and other research, there are multiple needs for further information on energy use and greenhouse gas (GHG) emissions in the Australian fisheries and aquaculture sectors (F&A).
Firstly, at the top-level, a national account of these sector’s performance is necessary to provide a clear determination of the overall F&A contribution within the Agriculture, Forestry & Fishing Industry classification (AFF Industry) classification within National Inventory Data. The AFF Industry is second largest emissions sector and there is a need to disaggregate the F&A sector from the broader agricultural data, and to also develop industry baselines against which further performance can be measured (and potentially benchmarked against other sectors).
Second, there is a need for sub-sectors (specific managed fisheries or industry groups) as well as individual companies to be able measure, assess and then potentially manage their own energy use and emissions.
Finally, once companies, subsectors and the F&A sectors have data, there is a need for education and tools to assist them to improve energy efficiency and profitability, lower emissions and related risks but also importantly how to create positive engagement with stakeholders, particularly customers becoming more discerning in product selection based on carbon footprint, to maintain competitiveness in consumer protein selection decision-making.
Final report
Project products
Implementation of dynamic reference points and harvest strategies to account for environmentally-driven changes in productivity in Australian fisheries
National Workshop to develop a regional collaborative plan to control the invasive Longspined Sea Urchin (Centrostephanus rodgersii)
Revisiting biological parameters and information used in the assessment of Commonwealth fisheries: a reality check and work plan for future proofing
Much effort has been placed over the last couple of decades on the development of harvest strategies, stock assessments, risk assessments and the strategic use of ecosystem models to facilitate meeting the needs of the Commonwealth’s Harvest Strategy Policy. A focus on modelling to improve fisheries management has required effort towards method development. However, little effort has been made towards revisiting and updating the biological parameters that fundamentally underpin such modelling (e.g. growth rates, age and size at maturity, natural mortality rates, dietary information, mixing rates and stock structure) and the tools or methods used to derive them. As a result, most models now rely on parameters and community dietary data derived from information collected during the 1970s-1990s, (e.g. available maturity ogives for blue-eye trevalla are over 20 years old), or information that is borrowed from other regions or species. Whether such old or borrowed values are now representative for commercial Australian fish species is unknown but many factors point to major changes occurring in our marine environment. Australian waters in the south east and south west are climate hotspots and, overall, Australian waters have warmed faster than the global average. Key components of the productivity of marine fish (growth, maturity, and recruitment) are expected to be undergoing directional changes under a changing climate and it is entirely possible that there have been changes in fundamental productivity parameters for some Australian stocks. The reliance of current assessments on what is likely to be out-of-date information leads to increased uncertainty, which propagates into management decisions. Without an understanding of any changes in biological parameters and how any change might impact assessment frameworks, determining whether current management measures are ensuring sustainability becomes highly uncertain.