AI-powered data-limited stock assessment method more accurate than ‘gold standard’ in predicting sustainable fisheries catches

Maps showing the locations of the centroids of the over 2000 stock assessments performed with CMSY (~20%) and CMSY ++ (~80%) in all parts of the world. Image Credit: Froese et al.

A recent update introduced to the CMSY methodology used for assessing the status of fish stocks has proven to be more accurate in predicting the catch that a population can support than highly-valued data-intensive models. In a paper published in the journal Acta Ichthyologica et Piscatoria, the international team of researchers that shaped the…

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