Otolith shape differences between ecotypes of Icelandic cod (Gadus morhua) with known migratory behavior inferred from Data Storage Tags

Otolith shape can be used to identify ecotypes of the Icelandic cod stock. The use of data storage tags (DSTs) has increased our knowledge of the stock structure of the Icelandic cod (Gadus morhua). The profiles of tagged cod reveal different migratory strategies. This has led to definition of two e...

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Bibliographic Details
Published in:Canadian Journal of Fisheries and Aquatic Sciences
Main Authors: Bardarson, Hlynur, McAdam, Bruce James, Thorsteinsson, Vilhjalmur, Hjorleifsson, Einar, Marteinsdottir, Gudrun
Other Authors: University of Iceland, Institute of Aquaculture, Marine Research Institute (Hafrannsoknastofnunin), orcid:0000-0001-6117-2437
Format: Article in Journal/Newspaper
Language:English
Published: NRC Research Press 2017
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Online Access:http://hdl.handle.net/1893/25001
https://doi.org/10.1139/cjfas-2016-0307
http://dspace.stir.ac.uk/bitstream/1893/25001/1/Bardarson_et_al_2017_otolith_morphology_ONLINE_DISTRIBUTION_VERSION.pdf
Description
Summary:Otolith shape can be used to identify ecotypes of the Icelandic cod stock. The use of data storage tags (DSTs) has increased our knowledge of the stock structure of the Icelandic cod (Gadus morhua). The profiles of tagged cod reveal different migratory strategies. This has led to definition of two ecotypes within the cod stock. Frontal ecotypes reside in deep waters during feeding season and express a highly variable temperature profile associated with thermal fronts, while coastal ecotypes stay in shallow waters all year round. In this study the DSTs profiles were analysed with Cluster Analysis which revealed existence of an intermediate behaviour that expresses a variable depth profile and a feeding migration which is both shorter in time and not as deep. The main objective was to develop a morphological key based on otoliths to distinguish the ecotypes. The shape of the otoliths was extracted with shape measurements and Fast Fourier Transforms. The results of a discriminant function analysis indicated a difference in morphology between the ecotypes resulting in a successful classification.