Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 550692
Title Predictive models in ecotoxicology: Bridging the gap between scientific progress and regulatory applicability—Remarks and research needs
Author(s) Vighi, Marco; Barsi, Alpar; Focks, Andreas; Grisoni, Francesca
Source Integrated Environmental Assessment and Management 15 (2019)3. - ISSN 1551-3793 - p. 345 - 351.
Department(s) Environmental Risk Assessment
Publication type Refereed Article in a scientific journal
Publication year 2019
Keyword(s) Bioaccumulation modelling - Effect modelling - QSAR - Regulation - TK–TD

This paper concludes a special series of 7 articles (4 on toxicokinetic–toxicodynamic [TK–TD] models and 3 on quantitative structure-activity relationship [QSAR] models) published in previous issues of Integrated Environmental Assessment and Management (IEAM). The present paper summarizes the special series articles and highlights their contribution to the topic of increasing the regulatory applicability of effect models. For both TK–TD and QSAR approaches, we then describe the main research needs. The use of TK–TD models for describing sublethal effects must be better developed, particularly through the improvement of the dynamic energy budget (DEBtox) approach. The potential of TK–TD models for moving from lower (molecular) to higher (population) hierarchical levels is highlighted as a promising research line. Some relevant issues to improve the acceptance of QSAR models at the regulatory level are also described, such as increased transparency of the performance assessment and of the modeling algorithms, model documentation, relevance of the chosen target for regulatory needs, and improved mechanistic interpretability. Integr Environ Assess Manag 2019;00:000–000.

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