Abstract

Exposure patterns in ecotoxicological experiments often do not match the exposure profiles for which a risk assessment needs to be performed. This limitation can be overcome by using toxicokinetic-toxicodynamic (TKTD) models for the prediction of effects under time-variable exposure. For the use of TKTD models in the environmental risk assessment of chemicals, it is required to calibrate and validate the model for specific compound–species combinations. In this study, the survival of macroinvertebrates after exposure to the neonicotinoid insecticide was modelled using TKTD models from the General Unified Threshold models of Survival (GUTS) framework. The models were calibrated on existing survival data from acute or chronic tests under static exposure regime. Validation experiments were performed for two sets of species-compound combinations: one set focussed on multiple species sensitivity to a single compound: imidacloprid, and the other set on the effects of multiple compounds for a single species, i.e., the three neonicotinoid compounds imidacloprid, thiacloprid and thiamethoxam, on the survival of the mayfly Cloeon dipterum. The calibrated models were used to predict survival over time, including uncertainty ranges, for the different time-variable exposure profiles used in the validation experiments. From the comparison between observed and predicted survival, it appeared that the accuracy of the model predictions was acceptable for four of five tested species in the multiple species data set. For compounds such as neonicotinoids, which are known to have the potential to show increased toxicity under prolonged exposure, the calibration and validation of TKTD models for survival needs to be performed ideally by considering calibration data from both acute and chronic tests.

Highlights

  • Environmental risk assessment procedures relate predicted exposure concentrations in environmental compartments to effect thresholds usually derived from standard toxicity tests

  • For the backswimmer larvae P. minutissima, only the highest treatment level resulted in a visible effect on the observed survival of the tested organisms, and the number of living individuals changed after day 1 only in 1 of 3 replicates, which prevented a better fit of the General Unified Threshold models of Survival (GUTS) models

  • Qualitative matching means that the trend in the observed data, e.g., time points of decrease, periods with constant survival or continuously decreasing survival are observable in the simulations, but that the simulations do not match the absolute values of observed numbers

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Summary

Introduction

Environmental risk assessment procedures relate predicted exposure concentrations in environmental compartments to effect thresholds usually derived from standard toxicity tests. Are supposed to deliver relevant information for the extrapolation from toxicity observed under static exposure conditions to expected effects under time-variable exposure in the context of environmental risk assessment of pesticides (Ashauer and Escher 2010). The model parameters have to be determined from observed survival data for each species and compound combination separately. If raw data from standard (acute or chronic) toxicity tests is sufficient in the predictive capacity for other speciescompound combinations, the application of GUTS models will be eased considerably, because laborious and expensive measurements of internal concentrations won’t be required for model calibration

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