Interspecies Correlation Estimates Predict Protective Environmental Concentrations

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• 作者：Scott D. Dyer ; Donald J. Versteeg ; Scott E. Belanger ; Joel G. Chaney ; and Foster L. Mayer
• 刊名：Environmental Science & Technology
• 出版年：2006
• 出版时间：May 1, 2006
• 年：2006
• 卷：40
• 期：9
• 页码：3102 - 3111
• 全文大小：257K
• 年卷期：v.40,no.9(May 1, 2006)
• ISSN：1520-5851

文摘

Environmental risk assessments often use multiple singlespecies toxicity test results and species sensitivity distributions(SSDs) to derive a predicted no-effect concentration inthe environment, typically the 5th percentile of the SSD,termed the HC5. The shape and location of the distributionare best known when populated with numerous toxicityvalues. To help overcome the cost of multiple toxicity tests,we explored the potential of the U.S. EPA's InterspeciesCorrelation Estimation (ICE) program to predict single speciestoxicity values from a single known toxicity value. ICEuses the initial toxicity estimate for one species to producecorrelation toxicity values for multiple species, whichcan be used to develop SSD and HC5. To test this approachto deriving HC5, we generated toxicity values based onmeasured toxicity values for three surrogate speciesPimephales promelas (Fathead minnow), Onchorynchusmykiss (Rainbow trout), and Daphnia magna (water flea).Algal taxa were not used due to the paucity of high qualityalgal-aquatic invertebrate and algal-fish correlations.The compounds used (dodecyl linear alkylbenzenesulfonate(LAS), nonylphenol, fenvalerate, atrazine, and copper)have multiple measured toxicity values and diverse modesof action and toxicities. Distribution parameters and HC5values from the measured toxicity values were comparedwith ICE predicted distributions and HC5 values. Whiledistributional parameters (scale and intercept) differedbetween measured and predicted distributions, in general,the ICE-based SSDs had HC5 values that were within anorder of magnitude of the measured HC5 values. Examinationof species placements within the SSDs indicated thatthe most sensitive species were coldwater species (e.g.,salmonids and Gammarus pseudolimnaeus). These resultsraise the potential of using quantitative structure activitymodels to estimate HC5s.