Ewa Merz

The paper forecasts biodiversity changes in a lake plankton community using abiotic and biotic predictors, showing that temperature and biotic interactions are key for accurate long-term predictions.

This study provides a high-frequency dataset from Lake Greifen, integrating physical, chemical, and biological parameters to study lake dynamics and plankton ecology.

The paper shows biotic interactions significantly alter the realised niche of toxic cyanobacteria, affecting temperature and phosphorus thresholds for bloom formation.

The paper uses Random Forest models on four years of lake data to show temperature and microzooplankton grazing significantly influence phytoplankton size class dynamics.