Analysis of pollutant effects on aquatic communities

Aquatic mesocosm studies are used as higher-tier test systems in the ecological risk assessment of plant protection products. For more than 20 years, we have regularly conducted field mesocosm studies for insecticides, fungicides and herbicides under GLP in cooperation with external partners (e.g. Fraunhofer IME, Schmallenberg, Germany). The external partners are responsible for the analysis of the test substance as well as GLP technical issues such as quality assurance. Over the past 20 years, we have continuously optimized our methods for sampling, determination and evaluation in line with changing regulatory requirements. To this end, we have continuously expanded the range of organism groups used. Each study is specifically tailored to the needs of the customer. Therefore, it is a matter of course for us to work together with the client to develop an optimal test design tailored to their requirements.

Our system consists of 30 individual ponds with a volume of 5 m³, which can be interconnected via a mixing pond. This guarantees synchronization of the systems at the beginning of the study, but at the same time ensures separation of the ponds after application. The large surface area of 5 m² is ideal for the simultaneous study of plankton organisms and benthic macroinvertebrates as well as for the study of potted macrophytes. A littoral zone can be optionally integrated by inserting stainless steel tables with sediment and macrophyte planting.

Currently, there is no uniform standard for conducting and evaluating mesocosm studies. We are committed to providing high data quality and reducing variability in the studies. To ensure high validity of the study results, we continuously improve the methodology used in field sampling, sample enumeration and data evaluation.

We rise to the challenge of the high complexity of such studies and, together with our cooperation partner, the Fraunhofer IME, offer customers a well thought-out study concept from design to implementation to statistical evaluation. These tests can also be completed with further experimental work in the laboratory or field as well as effect modeling techniques, if required.