Mud cockle (Katelysia spp.) stock enhancement/restoration: practical implementation and policy evaluation
Fishing and Aquaculture Workforce Capability Framework
The objective of this foundational work is to collaborate with industry to produce a Fishing and Aquaculture Workforce Capability Framework. The Framework will be used by fishing and aquaculture sectors / communities for workforce planning and career mapping. It will support a more strategic and consistent approach to workforce planning. This in turn, will enable industry to build its capacity through better understanding of capability needs.
In addition to the universal challenges associated with a tight labour market (e.g. attracting people, barriers to entry, addressing skills needs), the industry is operating in a changing environment. Other challenges and opportunities for the fishing and aquaculture sectors include:
• Adapting to climate change
• Biosecurity
• Managing resources efficiently
• Meeting sustainability standards / social license to operate
• Moving to a circular economy
• Managing global supply chains (developing traceability, addressing counterfeit)
• Competing with other proteins
• New markets through free trade agreements
• Adopting digital technology, and;
• Attracting and retaining people to drive responses to changes that impact on the F&A community.
The AgriFood Supply Chain Resilience report (KPMG, 2022) identified ‘labour supply, wellbeing and succession’ as one of the significant stresses for seafood supply chains. Other significant stresses were weather and climate change, cold chain and freight space availability, sustainability and social licence, pests and disease and market access.
Fish Forever (2030 vision for Australia’s fishing and aquaculture community) highlights opportunities for the F&A community and contains outcomes under each of the following missions:
1. Growth for enduring prosperity
2. Best practices and production systems
3. A culture that is inclusive and forward thinking
4. Equitable and secure resource access
5. Society and consumers trust, respect and value.
This project will identify the capability needs (current and future) to address these challenges and opportunities. Further, it will support industry, to attract and retain people and to provide pathways to build capability. Sectors will be better informed as to how to address capability needs.
Addressing these needs will ensure industry is better equipped to respond to changes, challenges and opportunities that impact the fishing and aquaculture communities. The fishing and aquaculture map (FRDC website) highlights the “complex systems behind Indigenous, commercial and recreational fishing and aquaculture in Australia and how the elements are connected”. It also highlights how issues or events in one part of the system can have impacts on other sectors. Therefore, industry needs to be prepared for changes.
This project will engage with all key F&A sectors to ensure the capability framework is industry-driven and collectively owned. In addition, the project approach is designed to utilise existing sector/industry plans and not replace existing frameworks. RMCG will work collaboratively with industry.
Final report
The case studies included in this document offer real-world examples of where innovative thinking has been used to solve issues around workforce planning, attraction and retention of staff, and broader geographical and social challenges.
The research and the development of this Framework emphasises the need to think differently, innovate and enable collaboration.
Sustainable Fishing Families: Developing industry human capital through health, wellbeing, safety and resilience
Identification of differentially expressed innate immune genes in the New Zealand paua (Haliotis iris) and the Australian hybrid abalone (H. laevigata X H. rubra) upon immersion challenge with the abalone herpesvirus-1 (HaHV)
Development of Fish Health Indicators for the Gladstone Harbour Report Card
National Social and Economic Survey of Recreational Fishers 2019
Currently there is a lack of national scale, consistent and robust data on the motivations and behaviours of recreational fishers, and lack of robust data on the social and economic contribution of recreational fishing. Where many commercial fisheries have regular collection and estimation process for economic data, this is not the case for recreational fishing in most of Australia. This lack of data also includes behaviour and motivations and how they are changing. These data are useful for informing discussions on resource allocation and in understanding and managing recreational fisheries more generally. If these data are to be used to inform governments and the general public, there is a need to make sure it is collected in a robust way that is representative of the Australian population. Large scale representative data sets are often expensive to acquire and as a result do not get undertaken regularly. One off surveys only provide useful data for any particular point in time, but understanding trends can often be more useful. This study aims to implement and test methodologies to provide a robust and representative sample, while trying to reduce costs to allow for more regular data gathering. To do this requires addressing another need: that of testing new survey methodologies for collecting data from recreational fishers that enables assessment of social and economic contribution. Recreational fishing surveys traditionally use probability based phone or mail surveys, however both methods are experiencing rapid decline in response rates and representativeness. It is expected that going into the future, online surveys that use a range of appropriate recruitment methods will be the most common survey method. There is a need to invest in establishing robust approaches to using these methods, and in understanding how their findings differ to those of traditional probability based surveys.
Final report
- The purpose/objectives of data collection
- Data collection methods, including design of survey instruments and survey recruitment materials, survey sample recruitment methods and sample achieved
- Data processing methods, including data coding and cleaning, and weighting methods.