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Red mullet stock identification without any reference using otolith shape

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Andrialovanirina, Nicolas | Poisson Caillault, Émilie | Mahé, Kélig

Edité par CCSD -

International audience. In the context of sustainable fishing, amidst global change, prior knowledge of the boundaries of each studied population is required. In this study, innovative automated analysis of the three-dimensional (3D) shape of red mullet otoliths from the Mediterranean Sea was compared to conventional two-dimensional (2D) analysis. It was concluded that this new three-dimensional shape technique was more accurate in delineating the stock, whether using unsupervised or supervised classification.

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