title: Trace metals in an urbanized estuarine sea turtle food web in San Diego Bay, CA.
abstract: San Diego Bay is an anthropogenically impacted waterway that is also a critical habitat for many sensitive species such as the green sea turtle (Chelonia mydas). In this study, we quantified trace metal concentrations in sediment and organisms composing the green sea turtle diet, and identified bioaccumulation patterns for a suite of trace metals. We found Ag, Cd, Cu, Mn, Se, and Zn exhibited the highest bioaccumulation levels in this food web. Cu and Mn concentrations in resident biota displayed a strong spatial gradient from the mouth to the head of the Bay, which was different from the patterns found in the sediment itself. Sediment median concentrations followed a general pattern across the bay of Al>Mn>Cu≈Zn>Pb>As>Cd>Ag>Se>Hg. In contrast, eelgrass displayed differential patterns in the mouth versus the back of the Bay (three front Bay sites: Al>Mn>Zn>Cu>Pb>Se>Cd≈Ag>As; five back Bay sites: Mn>Al>Zn>Cu>Pb≈Se>Cd>Ag>Hg>As) with the exception of Shelter Island where levels of Zn and Cu were elevated as a result of anti-fouling paint pollution. Observed differences between sediment and biota metal patterns are likely due to complex processes related to trace metals input and bioavailability, habitat characteristics and specific metabolic functioning of the trace metals for each member of the food web. These data highlight the fact that for the San Diego Bay ecosystem, the current use of toxicity reference values scaled up from sediment and invertebrate testing ex-situ is likely to be inaccurate when transposed to the green sea turtle. Here, we illustrate how identifying spatial variability in metal exposure can improve our understanding of habitat utilization by sea turtles in highly urbanized estuaries. Monitoring contaminants directly in food webs of sensitive vertebrates may greatly improve our understanding of their direct and indirect exposure to potentially deleterious contamination, and should be considered in the future to improve traditional risk assessment approaches.
authors.affiliation: Department of Biology and Coastal & Marine Institute, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-4614, United States. lmkomoroske@ucdavis.edu
authors.forename: Lisa M
authors.initials: LM
authors.lastname: Komoroske
authors.forename: Rebecca L
authors.initials: RL
authors.lastname: Lewison
authors.forename: Jeffrey A
authors.initials: JA
authors.lastname: Seminoff
authors.forename: Douglas D
authors.initials: DD
authors.lastname: Deustchman
authors.forename: Dimitri D
authors.initials: DD
authors.lastname: Deheyn
mesh_terms: D000818:Animals; D061006:Bays; D058448:Biota; D002140:California; D017753:Ecosystem; D020387:Food Chain; D019015:Geologic Sediments; D014131:Trace Elements / Q000032:analysis* / Q000493:pharmacokinetics; D014426:Turtles / Q000378:metabolism*; D014874:Water Pollutants, Chemical / Q000032:analysis* / Q000493:pharmacokinetics
chemical_list: D014131:Trace Elements; D014874:Water Pollutants, Chemical