Journal
INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT
Volume 18, Issue 2, Pages 479-487Publisher
WILEY
DOI: 10.1002/ieam.4476
Keywords
Auxiliary hypotheses; DEBtox; Reproduction data; TKTD modeling
Categories
Funding
- Syngenta
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Toxicokinetic-toxicodynamic (TKTD) modeling is crucial for understanding the time dependence of toxic effects and predicting consequences of time-varying exposure, especially in environmental risk assessment of pesticides. However, linking the modeled variables in TKTD models with observations from laboratory ecotoxicity tests, particularly for reproductive endpoints, presents challenges.
Toxicokinetic-toxicodynamic (TKTD) modeling is essential to make sense of the time dependence of toxic effects, and to interpret and predict consequences of time-varying exposure. These advantages have been recognized in the regulatory arena, especially for environmental risk assessment of pesticides, where time-varying exposure is the norm. We critically evaluate the link between the modeled variables in TKTD models and the observations from laboratory ecotoxicity tests. For the endpoint reproduction, this link is far from trivial. The relevant TKTD models for sublethal effects are based on dynamic energy budget (DEB) theory, which specifies a continuous investment flux into reproduction. In contrast, experimental tests score egg or offspring release by the mother. The link between model and data is particularly troublesome when a species reproduces in discrete clutches and, even more so, when eggs are incubated in the mother's brood pouch (and release of neonates is scored in the test). This situation is quite common among aquatic invertebrates (e.g., cladocerans, amphipods, mysids), including many popular test species. In this discussion paper, we treat these and other issues with reproduction data, reflect on their potential impact on DEB-TKTD analysis, and provide preliminary recommendations to correct them. Both modelers and users of model results need to be aware of these complications, as ignoring them could easily lead to unnecessary failure of DEB-TKTD models during calibration, or when validating them against independent data for other exposure scenarios. Integr Environ Assess Manag 2021;00:1-9. (c) 2021 SETAC
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