2010
DOI: 10.1007/s10641-010-9698-6
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Otolith elemental signatures reflect residency in coastal water masses

Abstract: We examined variability in otolith chemistry of wild caught fish in relation to in situ temperature and salinity within the California Current System. Barium, magnesium, and iron from the most recent growth zone in otoliths differentiated pelagic juvenile shortbelly rockfish (Sebastes jordani) residing in water masses with distinct temperature and salinity properties from central and southern California spanning nearly 500 km of coastline. The 3-element signature also discriminated fish that resided in differe… Show more

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Cited by 19 publications
(4 citation statements)
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“…Variation in salinity is one of the most frequently cited environmental correlates in studies of otolith chemistry [11,13,30,50]. In the present study, the regions were equally discernible in both years despite uncoupling between salinity and otolith chemistry under the drier regime in 2006.…”
Section: Discussionsupporting
confidence: 46%
“…Variation in salinity is one of the most frequently cited environmental correlates in studies of otolith chemistry [11,13,30,50]. In the present study, the regions were equally discernible in both years despite uncoupling between salinity and otolith chemistry under the drier regime in 2006.…”
Section: Discussionsupporting
confidence: 46%
“…For instance, it has been estimated that up to 98% of Ba/Ca Otolith is de rived from ambient water (Walther & Thorrold 2006), and relative to other elements, the short turn-over time of Ba in the bodies of fishes indicates a strong potential for Ba/Ca Otolith to reflect short-term changes in the Ba concentration of the ambient water (Sturrock et al 2012). Several studies have recognized the potential for otolith chemistry to evaluate fish associations with upwelling regions or water masses; few studies, however have validated these signatures in otoliths or applied them in ecological research (Patterson et al 2004, Kingsford et al 2009, Nishimoto et al 2010, Lin et al 2013, Woodson et al 2013.…”
Section: Introductionmentioning
confidence: 99%
“…This differentiation was characterised by estimating the canonical discriminant functions of the warp scores, standardised by within-score variances. The classification accuracy of each CDA was evaluated by the leave-one-out cross-validation procedure (Nishimoto et al, 2010). To establish the bias of the analysis, Cohen's kappa (j) statistic was used.…”
Section: Discussionmentioning
confidence: 99%