Abstract
Deleterious health effects in humans and wildlife are associated with the consumption of fish contaminated by mercury (Hg). This study was conducted to assess Hg concentrations in biota of the Finger Lakes (New York, USA), a region where fisheries are important for the economy but where no assessment of the drivers of food web Hg dynamics exists to date. Additionally, this region is of interest for the study of Hg bioaccumulation because of the importance of agricultural land cover, which can affect lake trophic status and thus the bioavailability of methyl Hg (MeHg). The study objectives were to (1) assess if fish Hg concentrations were of concern to humans and wildlife, (2) determine if differences in biota Hg concentrations exist among lakes, and (3) assess models developed for New York State as predictors of present day Finger Lakes fish Hg concentrations. Exploratory analyses were also conducted to assess predictors of fish Hg concentrations using lower trophic level MeHg concentrations, water quality, and lake and land cover characteristics. Fish concentrations were above the EPA criterion (300 ng/g wet weight, ww) in 24% of fish, but only Walleye (Sander vitreus) from Owasco Lake exceeded New York State Department of Health consumption guidelines (1000 ng/g ww). The threshold indicating biological changes within fish (500 ng/g ww) was exceeded in 11% of the individuals sampled. Significant differences were found among lakes for all fish species except Largemouth Bass (Micropterus salmoides). Notably, Lake Trout (Salvelinus namaycush) had significantly lower Hg concentrations in Cayuga Lake compared to other Finger Lakes. This trend was not mirrored in the lower food web, as benthic invertebrates had higher MeHg concentrations in Cayuga Lake. Using models developed for New York State in 2003-2005, observed concentrations in 90% of fish were different (±200 ng/g ww) than expected. Findings from this study suggest Hg dynamics in the Finger Lakes require consideration of fish age, growth rates, and food web structure to accurately predict fish Hg concentrations among lakes.
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