QTOX

Lea Grenc, Venja Schoenke funded by EU Marie Curie

In the EU Marie Curie QTOX project (7 beneficiaries, 10 PhD positions, www.qtox.eu), we aim to improve chemical risk assessment by bridging the gap between toxicity tests in the lab and ecologically relevant endpoints in the field. In Work Package 5, PhD students relate effects on individuals to impact on populations and communities.

In DC3 we mechanistically relate lab data to field indicators of biodiversity and productivity widely used in research and management, including mean species abundance, species richness, transfer efficiency and ecological quality classes. Based on previous studies, extended population theory to community models. For parameterisation, data will be obtained from databases and literature. For validation(semi-)field observations from past studies as well experiments carried out by other PhDs will be used. The project will yield a set of theoretically and empirically underpinned relationships to be used both for fundamental understanding as well as practical risk assessment.

In DC4 we derive statistically robust and mechanistically based temperature dependence functions covering accumulation and effects of chemicals in scientific (e.g., individual toxicokinetic and -dynamics, population, community) as well as regulatory (e.g., Species Sensitivity Distributions SSDs) models. Literature is reviewed to obtain temperature functions as well as data to derive these functions. The relationships obtained are independently tested on experimental data either from existing or anticipated lab experiments. The project will yield a set of theoretically and empirically underpinned relationships to be used both for fundamental understanding as well as practical risk assessment.