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Related Experiment Videos

Acute toxicity value extrapolation with fish and aquatic invertebrates.

Denny R Buckler1, Foster L Mayer, Mark R Ellersieck

  • 1U.S. Geological Survey, Columbia Environmental Research Center, 4200 New Haven Road, Columbia, MO 65201, USA. dbuckler@usgs.gov

Archives of Environmental Contamination and Toxicology
|October 6, 2005
PubMed
Summary

This study developed the Ecological Risk Analysis (ERA) software to predict aquatic community sensitivity to environmental contaminants using species sensitivity distributions. The ERA program provides reliable toxicity predictions for sensitive species with minimal data, aiding environmental risk assessment.

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Area of Science:

  • Environmental toxicology
  • Ecotoxicology
  • Aquatic ecology

Background:

  • Assessing environmental contaminant risk to aquatic life necessitates understanding exposure and effects.
  • Limited toxicological data often requires extrapolating across species for risk management.
  • Resource managers and regulators need methods to protect sensitive aquatic organisms.

Purpose of the Study:

  • Compile and organize acute toxicity data for environmental contaminants.
  • Characterize toxicant sensitivity distributions across aquatic taxa and species.
  • Evaluate the effectiveness of toxicity extrapolation methods using interspecies sensitivity relationships.

Main Methods:

  • Compiled extensive acute toxicity data, emphasizing pesticides and freshwater fish/invertebrates.

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  • Characterized species sensitivity distributions (SSDs) for various toxicants and species.
  • Developed and evaluated the Ecological Risk Analysis (ERA) software for predicting toxicity.

    • Main Results:

    • The ERA software effectively predicts toxicity for sensitive aquatic species using SSDs.
    • Minimum data sets (rainbow trout, bluegill, daphnia, mysids) yielded satisfactory predictions.
    • Single-species extrapolation factors for rainbow trout, bluegill, or scud provided useful predictions.
    • Invertebrates generally exhibit higher sensitivity to contaminants than fish.

    Conclusions:

    • The developed ERA program enhances the prediction of environmental contaminant effects on aquatic communities.
    • The study validates the utility of SSDs and specific extrapolation factors for risk assessment.
    • Findings support using limited data to protect sensitive aquatic species from toxicant exposure.