2007
DOI: 10.1577/t06-223.1
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Tracking Nursery Habitat Use in the York River Estuary, Virginia, by Young American Shad Using Stable Isotopes

Abstract: We developed and applied a stable isotope turnover model to estimate how long age‐0 American shad Alosa sapidissima reside within tidal freshwater and brackish‐water habitats in the York River estuary, Virginia. The residence time was estimated by modeling the changing stable isotope ratio (either the carbon [δ13C] or sulfur [δ34S] stable isotope ratio) of an age‐0 American shad as it migrates seaward from its present habitat to a new habitat and determining the minimum time required to acquire the isotopic si… Show more

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Cited by 26 publications
(17 citation statements)
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“…But average standard deviations in the d 34 S values at stations in the upper estuary (all fish) and lower estuary (resident fish only) were identical at 1.1%, probably indicating that effects of fluctuating salinity in upper-estuary stations were not strong. Rather, it is likely that the fish isotope values reflect salinity and dietary regimes integrated over several months of fish growth preceding animal collection, and that this time integration helps stabilize the relationship between salinity and fish d 34 S. Generally, the period of time integration represented by fish d 34 S varies with fish size, growth, and metabolic rate (Tarboush et al 2006;Hoffman et al 2007). Recent isotope turnover models for larger estuarine fish show that isotope time integrations of 1-6 months are not uncommon (Buchheister and Latour 2010), and may apply to fish of this study that were mostly of moderate total lengths (5-50 cm) and were collected towards the end of summer growing seasons in estuarine waters that were near 30uC.…”
Section: Discussionmentioning
confidence: 99%
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“…But average standard deviations in the d 34 S values at stations in the upper estuary (all fish) and lower estuary (resident fish only) were identical at 1.1%, probably indicating that effects of fluctuating salinity in upper-estuary stations were not strong. Rather, it is likely that the fish isotope values reflect salinity and dietary regimes integrated over several months of fish growth preceding animal collection, and that this time integration helps stabilize the relationship between salinity and fish d 34 S. Generally, the period of time integration represented by fish d 34 S varies with fish size, growth, and metabolic rate (Tarboush et al 2006;Hoffman et al 2007). Recent isotope turnover models for larger estuarine fish show that isotope time integrations of 1-6 months are not uncommon (Buchheister and Latour 2010), and may apply to fish of this study that were mostly of moderate total lengths (5-50 cm) and were collected towards the end of summer growing seasons in estuarine waters that were near 30uC.…”
Section: Discussionmentioning
confidence: 99%
“…Use of multiple isotope tracers to study animal movement is increasing (Hobson and Wassenaar 2008;Hoffman et al 2010), but more research is needed to clarify the best mix of traditional tags and natural chemical markers for studying movement of estuarine fish. The chemical marker approaches have the disadvantage of less site specificity, but do apply more broadly to larger estuarine areas and can be measured in all animals without time-consuming mark-recapture efforts.…”
Section: Discussionmentioning
confidence: 99%
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“…For individuals, the isotopic turnover period depends on both somatic growth and metabolic turnover rates; in organisms that grow rapidly, somatic growth rates essentially determine the isotopic turnover period (Martínez del Rio et al 2009). Zooplankton turnover rates are generally <1 mo (Hoffman et al 2007), thus reflecting temporal environmental variability. However, zooplankton collected in the brackish estuary might have been displaced downstream, especially during high dis charge conditions.…”
Section: Food Web Modelingmentioning
confidence: 99%