Evaluation of a smart-phone application to collect recreational fishing catch estimates, including an assessment against an independent probability based survey, using South Australia as a case study
There is need to collect accurate and robust information on recreational fishing levels to inform fisheries management. Recreational fishing estimates are critical to ensure sustainable harvest of community owned fisheries resources. In South Australia, established Fishery Management Plans are in place and recreational catch must be monitored to ensure that the sector is operating within its allocated shares of the resource. Recent changes to the availability of traditional sampling frames and shifts in the way the people communicate mean that it is becoming increasingly cost-prohibitive to undertake surveys using the established methodology. There is a need to re-evaluate how recreational fishing catch and effort is assessed and to develop revised survey methodologies using the latest survey tools and techniques.
Smartphone applications may provide a cost-effective method to collect information on recreational catch. However, as most apps are self-selected, sampling is non-probability based and it is not possible to calculate confidence intervals or margins of error. There is a need to compare app-based data with traditional phone-diary surveys to compare estimates and evaluate the accuracy of the results measured relative to independent population benchmarks. The outputs from this project will provide valuable information to other jurisdictions who have existing apps or are looking to implement an app.- based survey
Final report
The review of existing technologies and knowledge assets highlighted some of the challenges faced by probability-based surveys due to changing communication practices and sampling limitations. Although smartphone apps are acknowledged for their potential to engage users and collect recreational fishing data, they have limitations such as participant non-response and possible unknown biases that may affect reported catch rates and data quality. It was acknowledged that recruiting participants without a license frame is challenging, requires substantial communication investment, and that private companies may be able to advance app technology for broader user appeal. While app-based data collection is likely to complement probability-based methods, successful implementation requires validation, bias control, user-friendly design, transparency, and measures to ensure adequate recruitment and retention. Key to this is addressing concerns around privacy, security, and representativeness to encourage app adoption, which has the potential to promote the collection of near real-time data to inform fisheries assessment and management.
A South Australian gulfs and coastal ecosystem model to optimise multi-species fisheries management in a changing environment
The SA State Government has made a commitment to reform the Marine Scalefish Fishery (MSF) that aims to provide long-term sustainability of key stocks for both recreational and commercial fisheries, and unlock the industries economic potential. The key reforms include a voluntary buy-back scheme targeting the removal of at least 30% of commercial licences and the introduction of new zoning and quota management regulations. The timeframe for the reforms will be determined in consultation with the industry. Details on the implementation strategy have yet to be developed, but will need to be underpinned by extensive stakeholder consultation and backed by research that provides confidence that among the approaches considered, those chosen will best deliver the intent of the reforms.
This project aims to develop an SA Gulfs and Coastal ecosystem model to provide a Management Strategy Evaluation (MSE) tool to assess and optimise a range of reform scenarios. The project will link in closely with FRDC 2017/014 (Informing structural reform in the MSF), utilising many of its key outputs, including time series of spatial distribution of catch and effort, social-economic performance, and reform implementation scenarios. This project also will extend the investigation by integrating environmental time-series data to evaluate changes in productivity over time, identified as a potential factor in declining fisheries catches in the GSV ecosystem (FRDC 2013/031). Identifying the causes of productivity loss and its impact on fish production are important to resolve, especially in the context of the MSF reforms. Ultimately, the project aims to provide decision support tools to assess and evaluate the performance of diverse fisheries management strategies, and how these may perform under varying production regimes. Such an approach will provide a platform to evaluate and optimise the effectiveness of management strategies, and help ensure the fishery reforms achieve their key objectives.