title: PCB concentrations in lake trout (Salvelinus namaycush) are correlated to habitat use and lake characteristics.
abstract: This study considers the importance of lake trout habitat as a factor determining persistent organochlorine (OC) concentration. Lake trout is a stenothermal, cold water species and sensitive to hypoxia. Thus, factors such as lake depth, thermal stratification, and phosphorus enrichment may determine not only which lakes can support lake trout but may also influence among-lake variability in lake trout population characteristics including bioaccumulation of OCs. A survey of 23 lakes spanning much of the natural latitudinal distribution of lake trout provided a range of lake trout habitat to test the hypothesis that lake trout with greater access to littoral habitat for feeding will have lower concentrations of OCs than lake trout that are more restricted to pelagic habitat. Using the delta13C stable isotope signature in lake trout as an indicator of influence of benthic littoral feeding, we found a negative correlation between lipid-corrected delta13C and sigmaPCB concentrations supporting the hypothesis that increasing accessto littoral habitat results in lower OCs in lake trout. The prominence of mixotrophic phytoplankton in lakes with more contaminated lake trout indicated the pelagic microbial food web may exacerbate the biomagnification of OCs when lake trout are restricted to pelagic feeding. A model that predicted sigmaPCB in lake trout based on lake area and latitude (used as proximate variables for proportion of littoral versus pelagic habitat and accessibility to littoral habitat respectively) explained 73% of the variability in sigmaPCBs in lake trout in the 23 lakes surveyed.
authors.affiliation: Department of Biology and Large Lakes Observatory, University of Minnesota-Duluth, 2205 Fifth Street, Duluth, Minnesota 55812, USA. sguildfo@d.umn.edu
authors.forename: S J
authors.initials: SJ
authors.lastname: Guildford
authors.forename: D C G
authors.initials: DC
authors.lastname: Muir
authors.forename: M
authors.initials: M
authors.lastname: Houde
authors.forename: M S
authors.initials: MS
authors.lastname: Evans
authors.forename: K A
authors.initials: KA
authors.lastname: Kidd
authors.forename: D M
authors.initials: DM
authors.lastname: Whittle
authors.forename: K
authors.initials: K
authors.lastname: Drouillard
authors.forename: X
authors.initials: X
authors.lastname: Wang
authors.forename: M R
authors.initials: MR
authors.lastname: Anderson
authors.forename: C R
authors.initials: CR
authors.lastname: Bronte
authors.forename: D S
authors.initials: DS
authors.lastname: Devault
authors.forename: D
authors.initials: D
authors.lastname: Haffner
authors.forename: J
authors.initials: J
authors.lastname: Payne
authors.forename: H J
authors.initials: HJ
authors.lastname: Kling
mesh_terms: D000818:Animals; D017753:Ecosystem; D005247:Feeding Behavior; D020387:Food Chain; D005618:Fresh Water; D008954:Models, Biological; D011078:Polychlorinated Biphenyls / Q000032:analysis*; D014337:Trout; D014874:Water Pollutants, Chemical / Q000032:analysis
chemical_list: D014874:Water Pollutants, Chemical; D011078:Polychlorinated Biphenyls