Michael Ziegler

Effect-Net is a multi- and transdisciplinary project that intends to generate a toolbox for multi-scale chemical effects as a basis for a holistic effect-based risk evaluation, and for sociocultural governance aiming at personal and political responsibility as well as a reduction of emissions of hazardous chemicals into aquatic environments. The focus is on the development of a multi-scale network for the identification and evaluation of the biological hazards posed by emerging high-consumption
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All data from chemical and biological analyses will be used as sources of data for WP 9. It is not the purpose of Eff-Net to provide a tool to fully model the effects of carbohydrate metabolism-related and neurotoxic substances. Rather, in the sense of an Adverse Outcome Pathway (AOP [33]), the data pool will be analyzed for the suitability of lower scale data (e.g. receptor assay data) to predict the adverse outcome of the test substances at higher levels of organization (e.g. fish). In addition,
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In contrast to WP 5, which addresses in vivo effects in early developmental stages of zebrafish as an established model organism in ecotoxicology, WP 6 will use one indigenous fish species and one species representative of invertebrates in order to verify and, thus, validate the data obtained with zebrafish and also those generated at the in vitro levels (WPs 3 and 4) with respect to their ecologi-cal relevance. Possible adverse effects of the test substances identified in WP 1 will be assessed
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