160 results

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
TAGS
Sustainability
Survey
Recreational Fishing
Rac Sa
Modelling

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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Blank
Environment
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)
TAGS
Recreational Fishing
Mental Health
Innovation
Habitat
Economic
Environment
Environment
People
Blank
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)
TAGS
Recreational Fishing
Education
Conference
Community

Resource Sharing in Australian Fisheries Workshop - Progress to Date, Lessons Learnt and Next Steps towards a harmonised approach

Project number: 2019-142
Project Status:
Completed
Budget expenditure: $11,750.00
Principal Investigator: Nick D. Rayns
Organisation: FutureCatch Consulting
Project start/end date: 13 Nov 2019 - 30 Dec 2019
Contact:
FRDC
TAGS
Workshop
Stock Assessment
Stakeholder
Resource Sharing
Resource Sharing

Need

There is an urgent need to reflect on the current state of fisheries resource sharing in Australia and how it can meet future demands. Over the past 20 years individual Australian jurisdictions have developed and implemented resource sharing arrangements. These generally apply to commercial and recreational fisheries, and in some cases indigenous cultural fishers. The resource sharing arrangements stem from the objectives of fisheries legislation in Australia which is based on the principles of ESD that include consideration of all fishery resource users in the management of fisheries. Understandably when management resources are limited the focus is on those having the greatest impact on fish stock which for most species is the commercial sector, and sometimes the recreational sector. The use of OCS provisions in fisheries legislation was both an effort to simplify commercial fisheries management and reduce the need to have resource sharing arrangements. While this was largely successful it has run its course due to the value of commercial rights ($billions) that have now accrued under current OCS agreements making it almost impossible to make further significant changes. Alongside these developments a component of the recreational fishing sector has been increasing its range and capacity to catch fish using larger boats and technology similar to that employed by some commercial fishers. This has led to traditionally commercial species being accessed by recreational fishers with growing concerns from the former sector about their fishing future. Various policies and statutes have been implemented by the states/NT in an effort to allocate the shares of a fish stock. This has become easier as a growing number of fish stocks are subject to TACs with the commercial fishers subject to ITQs and recreational fishers to increasingly stock-specific possession limits. Despite this those states/NT who have implemented resource sharing have experienced its contentious, costly and drawn out nature, and are only starting to confront stocks which cross both jurisdictions and fishing sectors. It is time to reflect on experience to date and find the best way to manage fisheries resource sharing in the future.

Objectives

1. To find common ground on resource sharing across Australian jurisdictions and consider the benefits of working towards a harmonised approach.
2. If objective 1 achieved, hold conversations with AFMF and leaders in various fishery stakeholder groups to determine the next steps

Workshop

ISBN: 978-0-6487824-0-7
Author: Dr Nick Rayns
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.

Project products

Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
Workshop • 2020-01-01 • 829.13 KB
2019-142-DLD.pdf

Summary

Resource sharing is a high priority for the Australian Fisheries Managers Forum (AFMF) with all Australian jurisdictions in the process of developing or having developed policies associated with this issue. Some have gone further and implemented resource sharing with limited success. It has been many years since fisheries managers collectively discussed the status of these policies and their experiences implementing them. As a first step towards a more harmonised approach for fishery resource sharing in Australia FRDC funded this workshop to develop a preferred pathway(s) to doing so. AFMF considered the workshop outcomes and has provided its advice on the next steps which will centre around a fisheries managers’ toolkit that is developed in association with the AFMF Fisheries Management Committee using a development process like that of the National Harvest Strategy Guidelines and Co-Management Report. This will involve a further application for FRDC funding and engagement with key fishery stakeholders.
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