CORDIS Project
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This project aims to enhance the understanding of tuna fisheries by using advanced spatial modeling and climate predictions to forecast catch and price dynamics. A user-friendly web application will be developed to make these insights accessible to researchers, managers, and policymakers, ultimately supporting sustaina…
Tuna, a cornerstone of global fisheries, representing 10% of marine catches and sustaining numerous jobs, confronts pressing challenges from overfishing and climate change.
To address these issues comprehensively, our proposal outlines a three-fold strategy: 1 - Advanced Spatial Modeling:
We will employ Bayesian spatial models, specifically INLA (Integrated Nested Laplace Approximation), to predict tuna catch and price dynamics while considering vital environmental factors.
This approach will un…
UNIVERSITETET I BERGEN
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