"A proposed approach for using available toxicity test data on individual-level to predict the effect on population persistence." 

LIN Bin-Le, Meng Yaobin  

National Institute of Advanced Industrial Science and Technology

SETAC North America 28th Annual Meeting  (Milwaukee, Wisconsin, USA. 2007/11/11)
 

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Abstract

An extrapolation approach was demonstrated and validated in this study on using available toxicity test data on individual-level to derive a reference value defined as predicted-no-effect concentration (PNEC) on population persistence for population-level ecological risk assessment (PLERA) on chemicals. A matrix population model of natural medaka (Oryzias latipes) was employed as the tool to integrate the available individual-level toxicity test data on reproduction and survival into population growth rate (λ) that provides information regarding the status of the population persistence. After demonstrating the approach by using all of the toxicity data on fish of nonylphenol to calculate the PNEC defined as the concentration at which λ=1, this proposed approach were then validated by a comparative investigation on several derived PNECs by different approaches that employed the same full-life cycle toxicity test data of nonylphenol. We conclude that the extrapolation approach presented is widely applicable and is an encouraging approach for performing PLERA on a more general basis that support rational chemicals management.

Keywords

predicted-no-effect concentration (PNEC), population-level, ecological risk assessment, population growth rate (λ), nonylphenol, medaka