The uptake of best practice approaches in fisheries and aquaculture is influenced by factors that inhibit or enable behaviour change, including psycho-sociological factors (i.e. how change or approaches are framed).
Previous FRDC research has indicated a need to identify how and where behavioural insights/interventions – which draw on psycho-sociological factors such as cognitive biases, social norms, and emotions – can be used to steer behaviour change towards preferred outcomes (e.g. stewardship, safety) in marine sectors. This project builds on current and emerging research on behaviour change in fisheries and aquaculture to consolidate a review of published literature and available grey literature and R&D (from academic and industry domains, including recent FRDC projects relating to behaviour change) that has identified psycho-sociological factors influencing behavioural change. The aim of this literature review is to identify the types of behavioural interventions that can (or potentially, cannot) achieve preferred outcomes for fishing and aquaculture sectors in Australia. Specifically, the review seeks to explore i) which kinds of behavioural interventions can be effective in achieving positive change, ii) where (and just as importantly, where not) these interventions may be applied in fisheries and aquaculture sectors, iii) identify (potential) limitations of interventions, and to iii) bring these findings together to inform and underpin development of two relevant and engaging training webinars and associated resource materials, and iv) make recommendations for further focused trials/intervention research which could be undertaken to further support and expedite desired outcomes in Australian fisheries and aquaculture.

There is rapidly growing interest in the development, application and evaluation of behavioural interventions and they show great potential, however, they are also complex to design, test, and implement. Individuals are more likely to change their behaviours if they have the necessary skills and perceive they can do so (capability), if their environment (physical as well as social) provides an opportunity to do so (opportunity), and if they are motivated to achieve a particular endpoint through this behaviour (motivation), either through conscious decision-making or automatic processes, such as momentary cues. Further, the use of behavioural interventions has not been without critique, with concerns about ethics, manipulation, or risk to human agency. There are also concerns about the effectiveness of behavioural interventions, which may derive from several reasons: for example, due to misunderstanding the behaviour that is intended to be changed and the expected response by the audience. A behavioural intervention will be ineffective if the messaging or delivery causes confusion or if it only has a short-term effect. Some interventions can cause unintended consequences or compensating behaviours resulting in no net effect. These reasons highlight the importance of appropriate contextual understanding and well-defined outcomes for the design of effective behavioural interventions.

There are also different avenues for intervention beyond cognitive biases: education, persuasion, incentivisation, coercion, training, restriction, environmental restructuring, modelling and enablement, and the framing and implementation of these can differ depending on who the intervention is targeted at and under what context. Targeting behaviours in fisheries and aquaculture may enhance engagement and sustainable changes in the longer term (e.g. via development of new social norms), but to achieve this, changes in the determinants of behaviour are required. Actions (e.g. citizen science projects, local management practices), feelings, values (e.g. connectedness to oceans, the realisation of links between ocean health and human health) and social norms are embedded in and influenced by, local environments and social spheres that can transcend geographical boundaries. Our project will explore these nuances and convey concise summaries of behaviour change interventions for end-users via webinars, fact sheets, a simple decision tree tool (described below) and several short videos. The project intentionally has a broad focus (across fisheries and aquaculture sectors) in its review and outputs, as it is designed to equip potential developers and implementers of behavioural interventions with the skills and knowledge to do so in their own unique context. However, we will engage with industry partners (including FRDC extension officers and the industry advisory groups) to specifically ensure that the knowledge and tools produced (i.e. extension products) will be accessible and adaptable to the diversity of relevant contexts across these sectors - and useful for end-users seeking to motivate behaviour change whilst still retaining industry trust and engagement.

The project brings together necessary interdisciplinary research expertise (details outlined below) in the fields of behavioural economics, resource and fisheries economics, socio-ecology, fisheries ecology, science communication and cognitive psychology. In addition, the transdisciplinary potential of this project will be achieved via collaboration with a research advisory panel (to ensure rigorous research outcomes) and an industry level advisory panel (to ensure that the results and suggested interventions/activities are fit-for-purpose and accessible to the sector). Working with these panels (which would ideally include FRDC partners), we will ensure that the research is co-designed – and thus, project outputs are fit-for-purpose/context. Our team’s existing collective research on adoption and uptake of interventions clearly shows that engaging and involving end-user at creation stages increases uptake of results – hence, the value of our industry advisory panel. In addition, by engaging with industry leaders, we will create industry champions for the project who may assist with the dissemination of outputs. Together, the advisory groups will help to further define/adapt the scope of the project to achieve impact.

Overall, these collaborations and contributions will ensure that this project will deliver a comprehensive and industry-relevant overview of current understanding of behaviour change interventions, that addresses end-users’ identified needs, and that inspires community trust, in formats that are palatable and accessible to them and the fisheries and aquaculture sectors more broadly..

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