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USE OF INTERSPECIES CORRELATION ESTIMATIONS TO PREDICT HC5'S BASED ON MINIMAL DATA
Citation:
Dyer, S., S. Belanger, J. Chaney, D. Versteeg, AND F L. Mayer Jr. USE OF INTERSPECIES CORRELATION ESTIMATIONS TO PREDICT HC5'S BASED ON MINIMAL DATA. Presented at SETAC World Congress and 25th Annual Meeting, Portland, OR, November 14 - 18, 2004.
Impact/Purpose:
Conference abstract
Description:
Dyer, S., S. Belanger, J. Chaney, D. Versteeg and F. Mayer. In press. Use of Interspecies Correlation Estimations to Predict HC5's Based on Minimal Data (Abstract). To be presented at the SETAC Fourth World Congress, 14-18 November 2004, Portland, OR. 1 p. (ERL,GB R1013).
The USEPA Interspecies Correlation Estimation (ICE) program (Asfaw, Ellersieck & Mayer, 2003) is the most comprehensive analysis of interspecies relationships available, based on acute toxicity of 143 aquatic and terrestrial species. These relationships were used to predict acute toxicity values for numerous species based on measured acute toxicities for surrogate species (e.g., fathead minnow, rainbow trout, Daphnia magna) and toxicity values derived from quantitative structure-activity relationships (e.g., USEPA's ECOSAR). Species sensitivity distributions (SSDs) for several chemicals across various modes of action were created from the ICE-based predictions. Slopes and predicted concentrations hazardous to 5% of species (HC5) from ICE-based and published SSDs were compared to each other. The relationships of SSDs to published model ecosystem results were also determined. From these comparisons, we assess the potential for using screening-level effects data to protect the ecosystem from adverse effects and to enable risk assessments where key species (e.g., endangered) are not represented in the data set. Strengths, limitations, and needs considering this form of extrapolation are reviewed with an eye towards refining its use as an early tier for environmental risk assessment.