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Deliverable: otolith edge chemistry classification of harvest location of cod

Using the microchemistry of otolith edges to place cod back to their origin gave the following results:

1. The best Artificial Neural Network (ANN) for these data utilise the isotopes Na23, Cu63, Rb85, Sr86 and Ba137 and gave an Mean Stardard Error of 0.14 for the training and cross validation.
2. Of the statistics used, and amongst the wild populations, the ANN had the least problem classifying the Baltic fish. Icelandic fish could be 62% classified correctly. All others were <40% correctly classified.
3. In wild populations, the Baltic, Icelandic, Irish Sea and North Sea classifications were above a random probability.
4. The ANN classified 60% and above of individuals into the two fish farms (Icelandic and Scottish).

Reported by

THE UNIVERSITY OF BERGEN
DEPARTMENT OF RESEARCH MANAGEMENT, PO BOX 7800
N-5020 BERGEN
Norway
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