231 results
Environment
PROJECT NUMBER • 2018-204
PROJECT STATUS:
COMPLETED

Australian Recreational Fishing Foundation National Recreational Fishing Conference 2019

Following on from the success of the 2012, 2015 & 2017 National Recreational Fishing Conferences, the Australian Recreational Fishing Foundation was successful in securing a funding grant from the Fisheries Research and Development Corporation (FRDC) to deliver a National Recreational Fishing...
ORGANISATION:
Tasmanian Association for Recreational Fishing Inc (TARFish)
Communities
PROJECT NUMBER • 2016-505
PROJECT STATUS:
COMPLETED

Australia's National Recreational Fishing Conference 2017

Following on from the success of the 2012 and 2015 National Recreational Fishing Conferences, the Australian Recreational Fishing Foundation was successful in securing a funding grant from the Fisheries Research and Development Corporation (FRDC) to deliver a National Recreational Fishing Conference...
ORGANISATION:
Australian Recreational Fishing Foundation (ARFF)
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Environment

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.
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PROJECT NUMBER • 2019-146
PROJECT STATUS:
COMPLETED

National Recreational Fishing Conference bursary 2019

Introduction Over the 10th and 11th of December 2019, the Australian Recreational Fishing Federation held their biannual National recreational Fishing Conference in Hobart, Tasmania. The theme of this conference was “Our Fishing. Our Research. Our Recreational Future”. In response to...
ORGANISATION:
Fisheries Research and Development Corporation (FRDC)
People

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.
Industry
PROJECT NUMBER • 2019-213
PROJECT STATUS:
COMPLETED

Tackle Box - Fishing at home during Covid 19

This project examined the impact of Covid-19 on recreational fishing using a citizen science approach. The Australian Recreational Fishing Foundation (ARFF) teamed up with Infofish Australia Pty Ltd to use recaptures of tagged fish in Queensland and fishing competitions around Australia in novel...
ORGANISATION:
Australian Recreational Fishing Foundation (ARFF)
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