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USE OF INTERSPECIES CORRELATION ESTIMATIONS TO PREDICT HC5'S BASED ON QSAR
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 QSAR. Presented at SETAC Europe 14th Annual Meeting, Prague, Czech Republic, 4/18-22/04.
Description:
Dyer, S.D., S. Belanger, J. Chaney, D. Versteeg and F. Mayer. In press. Use of Interspecies Correlation Estimations to predict HC5's Based on QSARs (Abstract). To be presented at the SETAC Europe 14th Annual Meeting: Environmental Science Solution: A Pan-European Perspective, 18-22 April 2004, Prague, Czech Republic. 1 p. (ERL,GB R971).
The USEPA Interspecies Correlation Estimation (ICE) program (Asfaw, Ellersieck & Mayer, 2003) is the most comprehensive analysis of interspecies relationships based on acute toxicity for 143 aquatic and terrestrial species. These relationships were used to predict acute toxicities for numerous species based on acute toxicities for surrogate species (e.g., fathead minnow, rainbow trout, Daphnia magna) derived from QSARs (e.g., Ecosar). Species sensitivity distributions (SSDs) for several chemicals across various modes of action were created from ICE-based predictions. SSDs were constructed using log-logistic models via maximum likelihood estimation and fits were assessed using the Kolmogorov-Smirnov goodness-of-fit test. SSDs were statistically compared to published acute and chronic SSDs via likelihood ratio tests. Comparisons to model ecosystem tests were also made. From these comparisons, we assess the potential for extrapolating screening-level effects data to ecosystem-level protection values (e.g., HC5).