Case Study: Queensland Fisheries - Predicting Fish Stock Sustainability
Project Overview
Queensland Fisheries faced a crucial challenge: predicting the effects of fisheries management decisions on fish stocks. Recognizing the importance of sustainable fishing practices for the future, they partnered with Jundra Pty Ltd to develop a groundbreaking model to address this need.
The Challenge
With growing concerns about depleted fish stocks and the need for sustainable management, Queensland Fisheries required an advanced solution to forecast the impact of various management strategies on fish populations, particularly Snapper and Pearl Perch.
Our Solution
Jundra Pty Ltd utilized its expertise in AI and data analysis to develop a sophisticated model that could simulate different management scenarios and predict their effects on fish stocks. This tool integrated complex ecological data, fish biology, and management parameters to provide a comprehensive view of potential outcomes.
Predictive Analytics
The model employed advanced algorithms to analyse data and predict fish stock levels under various management scenarios.
Customization
Tailored to the specific needs of Queensland Fisheries, the model could adjust to different input parameters, offering versatile applications.
User-Friendly Interface
We ensured the tool was accessible to all stakeholders, providing an intuitive interface for easy interaction and interpretation of results.
The Results
The model proved to be an invaluable asset for Queensland Fisheries. It enabled them to make informed decisions about fishery management, leading to:
Sustainable Practices
Better understanding of the impact of different management strategies on fish stocks.
Policy Development
Assisted in shaping effective policies to ensure the long-term sustainability of fish populations.
Stakeholder Engagement
Enabled transparent communication with stakeholders about potential outcomes of different management strategies.
Matthew Campbell, Senior Fisheries Biologist, Queensland Department of Agriculture and Fisheries