Fish stocks of Urophycis brasiliensis revealed by otolith fingerprint and shape in the Southwestern Atlantic Ocean

Brazilian codling Urophycis brasiliensis is one of the main commercial coastal fish species from the Southwestern Atlantic Ocean. Regardless of its economic relevance, its stock structure remains largely unknown. In this study, we used the otolith shape and the core/outer edge multi-elemental finger...

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Veröffentlicht in:Estuarine, coastal and shelf science coastal and shelf science, 2019-11, Vol.229, p.106406, Article 106406
Hauptverfasser: Biolé, Fernanda G., Thompson, Gustavo A., Vargas, Claudia V., Leisen, Mathieu, Barra, Fernando, Volpedo, Alejandra V., Avigliano, Esteban
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Sprache:eng
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Zusammenfassung:Brazilian codling Urophycis brasiliensis is one of the main commercial coastal fish species from the Southwestern Atlantic Ocean. Regardless of its economic relevance, its stock structure remains largely unknown. In this study, we used the otolith shape and the core/outer edge multi-elemental fingerprints (Li:Ca, Mg:Ca, Mn:Ca, Fe:Ca, Zn:Ca, Rb:Ca, Sr:Ca, and Ba:Ca ratios) to evaluate the spatial segregation of young (nursery areas) and adult (stocks) stages of fish from the coast of northern Argentina, Uruguay, and southern Brazil. Otolith edge chemistry showed that several elemental ratios were significantly different between catching areas. Permutational multivariate analysis of variance (PERMANOVA) (p  0.05). QDA classification rates were relatively low for Uruguay (48.0%) and values of 66.7 and 70.0% were found for Brazil and Argentina, respectively. Our results not only show the presence of at least two fish stocks (Argentina and Brazil), with a third potential stock in Uruguay, but also suggest a strong spatial segregation during ontogeny. •Spatial segregation in young and adult stages of Urophycis brasiliensis was studied.•Otolith microchemisty and shape are potential tools for stock identification.•Results suggest the presence of at least 2 fish stocks and nursery areas.•High percentages of classification suggest low connectivity between populations.•The populations should be managed as separate groups.
ISSN:0272-7714
1096-0015
DOI:10.1016/j.ecss.2019.106406