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Interspecies correlation estimates predict protective environmental concentrations.

Scott D Dyer1, Donald J Versteeg, Scott E Belanger

  • 1The Procter and Gamble Company, 11810 East Miami River Road, Cincinnati, Ohio 45253-8707, USA. dyer.sd@pg.com

Environmental Science & Technology
|May 25, 2006
PubMed
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The Interspecies Correlation Estimation (ICE) program can predict environmental toxicity values, aiding in the development of species sensitivity distributions (SSDs) and the calculation of the HC5 (Hazardous Concentration 5th percentile). This method offers a cost-effective alternative to extensive toxicity testing.

Area of Science:

  • Environmental Toxicology
  • Ecotoxicology
  • Risk Assessment

Background:

  • Environmental risk assessments rely on species sensitivity distributions (SSDs) and toxicity data to determine predicted no-effect concentrations (HC5).
  • Generating extensive toxicity data is costly and time-consuming.

Purpose of the Study:

  • To evaluate the U.S. EPA's Interspecies Correlation Estimation (ICE) program for predicting single species toxicity values.
  • To assess the utility of ICE-predicted values for developing SSDs and deriving HC5 values.

Main Methods:

  • Toxicity values for three surrogate species (Fathead minnow, Rainbow trout, Daphnia magna) were generated using the ICE program based on a single known toxicity value.
  • Measured toxicity values were compared with ICE-predicted values to evaluate distribution parameters and HC5 values.

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  • Compounds with diverse modes of action were used: dodecyl linear alkylbenzenesulfonate (LAS), nonylphenol, fenvalerate, atrazine, and copper.

    • Main Results:

    • ICE-based SSDs generally produced HC5 values within an order of magnitude of those derived from measured data.
    • Distributional parameters (scale and intercept) differed between measured and predicted distributions.
    • Coldwater species, such as salmonids, were identified as the most sensitive in the SSDs.

    Conclusions:

    • The ICE program shows potential for estimating HC5 values, offering a more cost-effective approach to environmental risk assessment.
    • Quantitative structure-activity models may be valuable for estimating HC5s in the future.
    • Understanding species sensitivity, particularly for coldwater species, is crucial for accurate risk assessment.