Estimating Mercury Exposure of Piscivorous Birds and Sport Fish Using Prey Fish Monitoring
Joshua T Ackerman1, C Alex Hartman1, Collin A Eagles-Smith2
1U.S. Geological Survey , Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States.
Environmental Science & Technology
|October 10, 2015
Summary
Monitoring mercury in prey fish can predict methylmercury exposure in wildlife like grebes and sport fish. This helps assess aquatic ecosystem health and potential risks to animals and humans.
Area of Science:
- Environmental Science
- Ecotoxicology
- Wildlife Biology
Background:
- Methylmercury is a pervasive pollutant in aquatic ecosystems.
- Effective wildlife monitoring requires tools to predict mercury exposure.
- Piscivorous species are particularly vulnerable to methylmercury bioaccumulation.
Purpose of the Study:
- To develop predictive equations for methylmercury exposure in piscivorous birds and sport fish.
- To utilize mercury concentrations in prey fish as a key indicator.
- To provide tools for wildlife monitoring programs assessing mercury contamination.
Main Methods:
- Collected original data on grebes, sport fish, and prey fish from 25 California lakes.
- Measured mercury concentrations in blood and eggs of western and Clark's grebes.
- Analyzed mercury levels in various sport fish and 14 species of prey fish.
Main Results:
- Strong correlations were found between mercury in prey fish and mercury levels in grebes (blood and eggs) and sport fish.
- A 1.0 μg/g dw increase in prey fish mercury corresponded to significant increases in grebe blood (103%), eggs (92%), and sport fish (116%).
- High correlations were also observed between mercury concentrations in grebes and sport fish across lakes.
Conclusions:
- Prey fish mercury concentrations serve as a reliable predictor of mercury exposure in piscivorous birds and sport fish.
- This approach is valuable for estimating wildlife mercury exposure when direct sampling is not feasible.
- The developed equations can enhance the monitoring of methylmercury contamination in aquatic ecosystems.


