Sublethal effect modelling for environmental risk assessment of chemicals: Problem definition, model variants, application and challenges

Sherborne, Neil; Galić, Nika; Ashauer, Roman

doi:10.1016/j.scitotenv.2020.141027

Cited by 27 publications

(38 citation statements)

References 84 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using a censored data set for calibration and an uncensored one for validation is bound to cause problems. This warning also extends to the use of DEB parameters from the add-my-pet library, which is needed to apply the most extensive DEB-TKTD model variants (Sherborne et al 2020).…”

Section: Recommendationsmentioning

confidence: 99%

“…For the analysis of sub-lethal effects, the relevant TKTD models are based on Dynamic Energy Budget (DEB) theory (Kooijman 2001). There is no single unique DEB model but rather a family of closely related models, generally referred to as DEBtox, or more recently as DEB-TKTD (Jager et al 2014; Sherborne et al 2020). Even though these models were judged to be “not yet ready for use in aquatic risk assessment for pesticides” (EFSA 2018), their potential for supporting risk assessment was recognised.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Considerations for using reproduction data in toxicokinetic-toxicodynamic modelling

Jager¹,

Trijau²,

Sherborne

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Toxicokinetic-toxicodynamic (TKTD) modelling 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 recognised in the regulatory arena, especially for environmental risk assessment (ERA) of pesticides, where time-varying exposure is the norm. We critically evaluate the link between the modelled 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 sub-lethal 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. We discuss these and other issues with reproduction data, reflect on their potential impact on DEB-TKTD analysis, and provide preliminary recommendations to correct them. Both modellers 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.

show abstract

Section: Recommendationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Considerations for using reproduction data in toxicokinetic-toxicodynamic modelling

Jager¹,

Trijau²,

Sherborne

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Using a censored dataset for calibration and an uncensored one for validation is bound to cause problems. This warning also extends to the use of DEB parameters from the add-my-pet library, which is needed to apply the most extensive DEB-TKTD model variants (Sherborne et al, 2020).…”

Section: Recommendationsmentioning

confidence: 99%

“…For the analysis of sublethal effects, the relevant TKTD models are based on dynamic energy budget (DEB) theory (Kooijman, 2001). There is no single unique DEB model for toxic effects but rather a family of closely related models, generally referred to as DEBtox, or more recently as DEB-TKTD (Jager et al, 2014;Sherborne et al, 2020). Although these models were judged to be "not yet ready for use in aquatic risk assessment for pesticides" (EFSA, 2018), their potential for supporting risk assessment was recognized.…”

Section: Introductionmentioning

confidence: 99%

Considerations for using reproduction data in toxicokinetic–toxicodynamic modeling

Jager¹,

Trijau²,

Sherborne

et al. 2021

Integr Envir Assess & Manag

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…However, for birds and mammals sublethal effects are most relevant at realistic exposure levels, as no mortality associated with pesticide use is accepted under European regulations ( EFSA, 2009 ). The ‘DEBtox’ or ‘DEB-TKTD’ modelling framework ( Kooijman and Bedaux, 1996b , Kooijman and Bedaux, 1996a , Sherborne et al, 2020 ), combining TK-TD modelling with the Dynamic Energy Budget (DEB) theory ( Kooijman, 2009 ) provides a means of predicting sublethal toxic effects. DEB is an established metabolic theory, mathematically describing the processes of energy acquisition and allocation to predict endpoints such as body size and reproductive output.…”

Section: Introductionmentioning

confidence: 99%

Modelling the effects of variability in feeding rate on growth – a vital step for DEB-TKTD modelling

Martin

Hodson

Ashauer

2022

Ecotoxicology and Environmental Safety

Self Cite

View full text Add to dashboard Cite

Sublethal effect modelling for environmental risk assessment of chemicals: Problem definition, model variants, application and challenges

Cited by 27 publications

References 84 publications

Considerations for using reproduction data in toxicokinetic-toxicodynamic modelling

Considerations for using reproduction data in toxicokinetic-toxicodynamic modelling

Considerations for using reproduction data in toxicokinetic–toxicodynamic modeling

Modelling the effects of variability in feeding rate on growth – a vital step for DEB-TKTD modelling

Contact Info

Product

Resources

About