58 results

Community Sentiment Survey

Project number: 2023-200
Project Status:
Completed
Budget expenditure: $15,000.00
Principal Investigator: Michael Sparks
Organisation: Intuitive Solutions
Project start/end date: 28 Jul 2024 - 13 Oct 2024
Contact:
FRDC

Need

There is currently no available data which provides insight into community expectations and sentiment. Canvassing and reporting on the perceptions, views and likely behaviors of seafood consumers in particular will provide a fuller understanding of the impact of any change to the current fishery and marine park areas.

Objectives

1. To collect and report on community perceptions, sentiment and likely purchasing and consumption behaviors relevant to the issues identified in this application.

Survey

Author: Michael Sparks
Survey • 2024-05-01 • 741.01 KB
2023-200-DLD.pdf

Summary

Australia’s Commonwealth, state and territory governments together with regulatory bodies and local authorities have worked in partnership with the fishing industry, scientists, economists, environmental non-government organisations to establish 
management frameworks for fishing in and around Australia. These management processes implement controls, such as limits on catch or effort levels, and regulation of fishing methods to manage Australia’s fisheries in a sustainable way. It also includes the definition and description of different fishing zones and areas. Nominated Australian fisheries and marine park areas are two critical foundations for the description of some of the areas in and around Australia.

A need to understand the Australian community’s awareness and understanding of these zones has been identified. A measure of the support for commercial fishers to operate in these areas was also seen as an important measures to collect 
and describe. These measures will provide Governments and industry the opportunity to plan for their communications and engagement with the Australian community on these two key zones. This research was designed to provide a snapshot of the community’s awareness, knowledge and perceptions of Australian fisheries, marine parks and commercial fishers who may operate in these designated areas. A representative sample of n = 1,000 adult Australians was captured in this community sentiment survey. A more detailed 
explanation of the research design is provided in the attachments to this report. 

 
Industry
Adoption
Communities
PROJECT NUMBER • 2018-161
PROJECT STATUS:
CURRENT

National Social and Economic Survey of Recreational Fishers 2019

The NRFS involved three stages of data collection. An overview of the three stages of data collection and the purpose of each, and a guide summarising which chapters draw on data from each stage of data collection, are provided in the next section. Sections 3.4, 3.5 and 3.6 provide a detailed...
ORGANISATION:
University of Canberra

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

Project number: 2020-056
Project Status:
Current
Budget expenditure: $1,000,000.00
Principal Investigator: Crystal Beckmann
Organisation: University of Adelaide
Project start/end date: 4 Oct 2020 - 30 Sep 2023
Contact:
FRDC

Need

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

Objectives

1. To design and implement a survey of South Australian recreational fishers to determine participation and catch and effort levels for key species.
2. To evaluate the differences and in recreational catch estimates from smart-phone applications and traditional phone diary surveys.
3. To explore whether smart-phone applications can be feasibility integrated into future recreational fishing surveys.
4. To measure the accuracy of catch estimates from smart-phone applications relative to independent population benchmarks.
5. To outline the policy and regulatory needs and implications of implementing a smart phone based reporting app.

Final report

ISBN: 978-1-876007-57-7
Authors: C.L. Beckmann L.M. Durante K. Stark and S. Tracey
Final Report • 2024-08-01 • 14.49 MB
2020-056-DLD.pdf

Summary

Information on recreational catch and effort is becoming increasingly important to inform fishery stock assessment and the sustainable management of fisheries resources. As smartphone applications ('apps') become more sophisticated and widely available, they are increasingly being used to record recreational fishing activity, presenting an opportunity to collect non-probability data. However, the self-selected nature of data collection through apps introduces potential biases, necessitating comparative studies with traditional probability-based surveys to assess these biases as well as the accuracy and precision of app-based data. This study aims to compare a traditional probability-based survey with app-based data collection to compare estimates, assess bias and utility, and provide guidance for the future development of app-based data collection methods. 
 
The lack of regularly collected data that can provide a precise estimate of catch and effort for a range of species caught by recreational fishing presents significant challenges for fishery stock assessment and management. Traditional probability-based methods, for example stratified phone surveys, are regarded as providing the most robust estimates of catch and effort for recreational fisheries. However, these surveys are often expensive, conducted infrequently, and may not provide the species-specific information at the spatial and temporal scales required to inform stock assessment and effective management. Smartphone apps offer a promising complementary option for data collection due to their ability to gather large volumes of information in real-time. However, challenges arise regarding representativeness of the data, low participation due to technological barriers, engagement issues, quality control, and privacy and security concerns. This study aims to explore the effectiveness and suitability of a smartphone application for collecting data on recreational catch and effort, offering an innovative approach while considering the associated advantages and disadvantages.

 

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.

 
The study's findings have several implications for fisheries managers, scientists, and policymakers:
- Firstly, the study highlights the potential for using a combination of app-based data and probability-based survey data to obtain reliable and comprehensive information about the recreational fishing community.
- Secondly, stakeholders should view app-based data collection as a complementary approach to probability-based surveys.
- Thirdly, there is a need to increase the number of participants in app-based data collection to improve the accuracy of results.
 
In conclusion, this study provides recommendations for further work to improve recreational fishing data collection methods. It emphasises the importance of ongoing collaboration between stakeholders and scientists to improve the tools and techniques used to collect data. By implementing these recommendations, stakeholders can strive for more accurate, representative, and reliable data, leading to better-informed decisions concerning the sustainable management of recreational fisheries resources.
Environment
PROJECT NUMBER • 2019-072
PROJECT STATUS:
CURRENT

Multiple - Before After Control Impact analysis of the effect of a 3D marine seismic survey on Danish Seine catch rates

The project is a four phase research program being conducted in the Danish seine commercial fishery off Lakes Entrance that looks to: 1. Examine effect of seismic testing on Danish seine catch rates of Tiger Flathead 2. Examine effect of seismic testing on Danish seine catch rates...
ORGANISATION:
Fishwell Consulting Pty Ltd
Environment
PROJECT NUMBER • 2019-075
PROJECT STATUS:
COMPLETED

Recreational Southern Rock Lobster tagging program – assessing current data and modelling assumptions and approaches to establish a robust estimate

This project assesses options for streamlining and improving the current electronic reporting process (VicRLTag app) based on an evaluation of the first three years of the Victorian Recreational Rock Lobster Tagging Program.
ORGANISATION:
University of Tasmania (UTAS)
View Filter