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Trials of oceanographic data collection on commercial fishing vessels in SE Australia

Project number: 2022-007
Project Status:
Completed
Budget expenditure: $347,802.00
Principal Investigator: Ian Knuckey
Organisation: Fishwell Consulting Pty Ltd
Project start/end date: 31 Jul 2022 - 30 May 2025
Contact:
FRDC

Need

Australia’s fisheries span a large area of ocean. Australia has the world’s third largest Exclusive Economic Zone (EEZ), with an area of over 8 million km2. This zone contains mainly Commonwealth managed fisheries, with State jurisdictions mainly in coastal waters up to the 3 nautical mile limit. Australia's total wild-catch fisheries gross value of production is $1.6 billion, of which 28% is from Commonwealth fisheries and 72% from the smaller coastal inshore fisheries managed by state jurisdictions. The wildcatch fisheries sector employs about 10,000 people across Australia (https://www.awe.gov.au/abares/research-topics/fisheries/fisheries-and-aquaculture-statistics/employment).

The commercial fishing industry has a network of thousands of vessels working mainly in inshore waters around Australia. They can supply a potential platform for extensive and fine scale spatial and temporal monitoring of the waters of the continental shelf (0-1200m), from the surface to the ocean floor. Given that their livelihoods depend on it, they have a keen understanding of oceanographic conditions with respect to fish behaviour, feeding and spawning and the various oceanographic factors that may influence this. In some fisheries (e.g. surface tuna longlining), fishers eagerly seek and use readily available fine-scale oceanographic data such as sea surface temperature and sea level, to improve their targeting and achieve higher resultant catch rates. For many other fisheries, however, it is the fine-scale sub-surface oceanographic conditions (feed layers, thermoclines, temperature at depth etc) that have a critical influence on their fishing dynamics. Unfortunately, this type of oceanographic data is far less readily available. Although fishers and scientists know these factors are important, the time series of fine scale spatial and temporal data relevant to fishery operations is not available to include in stock assessments. As a result, it is often assumed that variations in catch rates reflect changing stock abundance, when it may simply be a result of changing oceanographic conditions.

Marine scientists collect a vast range of oceanographic data using satellites, subsurface drones, and static and drifting buoys. Sea surface data, however, is much easier and more cost-effective to collect at high spatial and temporal resolutions than sub-surface data. Hence, understanding of sub-surface oceanographic conditions tends to be derived from modelling more than actual measurement. This may be sufficient at a wide-scale global or continental level, but it is not adequate at the fine-scale spatial and temporal resolution required for fisheries management.

The use of commercial fishing gear as a research data platform has been increasing in popularity internationally (https://www.frontiersin.org/articles/10.3389/fmars.2020.485512/full). A number of groups in Europe have been doing this for a decade (e.g Martinelli et al 2016), and New Zealand are also now involved (https://www.moanaproject.org/te-tiro-moana). However, this approach has yet to be implemented in Australia in a coordinated way. In particular, our approach dictates open access data served through the IMOS Australian Ocean Data Network (www.aodn.org.au) that can be collected once and used many times.

In this project we intend to instrument seafood sector assets (e.g Trawl Nets, longlines, pots) with fit-for- purpose quality-controlled (QC'd) temperature/pressure sensors to increase the sub-surface temperature data coverage around Australia’s shelf and upper slope regions (0-800m) at low cost. Not only will this assist in the collection of data at relevant spatial and temporal scales for use by fishers, but it will also provide a far more extensive level of QC’d data to oceanographers in near real time (NRT) for evaluation and ingestion into data-assimilating coastal models that will provide improved analysis and forecasts of oceanic conditions. In turn, this will also be of value to the fishing sector when used to standardise stock assessments.

Martinelli, M., Guicciardi, S., Penna, P., Belardinelli, A., Croci, C., Domenichetti, F., et al. (2016). Evaluation of the oceanographic measurement accuracy of different commercial sensors to be used on fishing gears. Ocean Eng. 111, 22–33. doi: 10.1016/J.OCEANENG.2015.10.037

Objectives

1. Effective installation and operation of oceanographic data collection equipment on network of commercial fishing vessels using a range of common fishing gear
2. To provide QC’d data direct to fishers in near real-time to assist in habitat characterisation and the targeting of effort
3. To cost-effectively increase the spatial resolution of sub-surface physical data collected in Australia’s inshore, shelf, upper-slope, and offshore waters by fitting commercial fishing equipment from a variety of gear types with low-cost temperature/pressure sensors
4. To make the QC’d temperature depth data publicly available through the IMOS-AODN portal for uptake and use in ways that support safe maritime operations the sustainable management of marine resources, and improves understanding of drivers of change.

Article

Final Report • 2024-11-07 • 7.45 MB
2022-007-DLD.pdf

Summary

Working with IMOS and oceanographers at the University of New South Wales (UNSW), Fishwell Consulting engaged its established networks across the Australian commercial fishing community to harness the capacity of commercial fishing vessels in environmental data acquisition. Deployment of temperature/depth sensors on commercial fishing vessels was shown to augmentand complement more expensive data collection platforms (e.g. ocean gliders, remote operated vehicles, Argo floats, dedicated research vessels) to provide much needed sub-surface temperature data to improve ocean circulation models and forecasting capacity. In proof-of-concept trials conducted over twelve months (from May 2023), more than 30 fishing vessels and their fishing gear were equipped with temperature sensors and data transmission equipment. These trials yielded more than 2.8 million data points from the sea surface to 1,214m depth considerably expanding existing data records. In particular, waters previously poorly observed, including the Great Australian Bight, Joseph Bonaparte Gulf, and the Gulf of Carpentaria, yielded valuable sub-surface temperature data.
Environment
Adoption
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PROJECT NUMBER • 2018-197
PROJECT STATUS:
COMPLETED

Developing FRDC’s 2020-2025 RD&E Plan

This report covers the second of two CSIRO contributions to the project FRDC 2018-197. This project was reviewing FRDC research objectives through a process that developed alternative scenarios of possible futures relevant to Australian fisheries. Discussed here is the development of a...
ORGANISATION:
Fisheries Research and Development Corporation (FRDC)
Adoption
PROJECT NUMBER • 2018-171
PROJECT STATUS:
COMPLETED

CRDC: FRDC Contribution: Growing a digital future - understanding digital capability in Australian agriculture

In an effort to respond to a rapidly changing agricultural environment and boost the industry's competitiveness entering a new age of digital farming, Cotton RDC and a group of Rural Research and Development Corporations (including FRDC) have come together to fund the Agriculture workforce digital...
ORGANISATION:
Cotton Research and Development Corporation (CRDC)

Embedding impact pathway thinking into the identification and prioritisation of RD&E needs and investments for FRDC

Project number: 2022-094
Project Status:
Completed
Budget expenditure: $80,000.00
Principal Investigator: Mark Stafford Smith
Organisation: Dr DM Stafford Smith (sole trader)
Project start/end date: 4 Dec 2022 - 30 Mar 2024
Contact:
FRDC

Need

In order to support a greater degree of systems thinking in its advisory committees, it is proposed to expose all committee members to the potential approaches to priority setting through a systems lens and benefits of these approaches, and then work with a subset of Research Advisory Committees [and possibly others] to test how bringing tools such as theory of change into their deliberations could assist them to deliver better designed priorities. Working specifically towards theories of change in the committee processes, at appropriate levels of complexity, is expected to provide (i) a context to making approaches of different committee members more explicit, (ii) a basis for better design logic, and (iii) a way of more readily communicating the committee's priorities. The focus of this approach on identifying and working back from ultimate objectives helps frame what may legitimately be narrow priorities in a wider analysis of system drivers such as incoherent policy environments or climate change and thus enable larger agendas to be built around such issues across FRDC. An explicit emphasis on barriers, enablers and assumptions, as well as what is necessary and sufficient to achieve the objectives, also provides a strong basis for evaluating progress and learning. Together these attributes are anticipated to achieve the intent of supporting better FRDC priority setting and increased impact for its stakeholders.

Objectives

1. Build the knowledge, attitude, skill, aspiration and practice (kasap) among the FRDC’s advisory committees and staff, with particular focus on Extension Officers, to embed impact pathway thinking into the identification and prioritisation of RD&E needs and investments.
People
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