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Development of Species Sensitivity Distributions for Wildlife Using Interspecies Toxicity Correlation Models
Citation:
AWKERMAN, J. A., S. RAIMONDO, AND M. G. BARRON. Development of Species Sensitivity Distributions for Wildlife Using Interspecies Toxicity Correlation Models. ENVIRONMENTAL SCIENCE AND TECHNOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, 42(9):3447-3452, (2008).
Impact/Purpose:
Study uses interspecies Correlation Estimates (ICE) to predict toxicity values for multiple wildlife species and aid in the development of SSDs.
Description:
Species sensitivity distributions (SSD) are cumulative distributions of chemical toxicity of multiple species and have had limited application in wildlife risk assessment because of relatively small datasets of wildlife toxicity values. Interspecies correlation estimation (ICE) models predict the acute toxicity to untested taxa from known toxicity of a single surrogate species and were used to predict toxicity values and generate wildlife SSDs for 23 chemicals using four avian surrogates. The hazard levels associated with the fifth percentile of the distribution (HD5) were compared for ICE SSDs and independent SSDs created with measured data. SSDs were composed of either avian only or avian and mammalian taxa. ICE HD5s were within 5-fold of 90% of measured HD5s. Using a bird surrogate to predict toxicity to birds and the Norway rat to predict toxicity to mammals improved some estimates of ICE HD5s compared with those generated using only bird surrogates. These results indicate that ICE models can be used to generate SSDs comparable to those derived from measured wildlife toxicity data and provide robust estimates of the HD5.