E. Merz

Automated plankton monitoring suggests a key role of microzooplankton and temperature for predicting dynamics of phytoplankton size classes

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

Selection for later flowering time in an orchid through frost damage and pollinator activity

This study quantifies selection for later flowering in an orchid, finding strong selection due to frost damage and weak selection due to pollinator activity, with no evidence of increasing desynchronization from climate change.

The dependence of forecasts on sampling frequency as a guide to optimizing monitoring in community ecology

This study investigates how sampling frequency affects ecological forecasts and finds that optimal frequency depends on growth rates and interactions, suggesting it can guide monitoring strategies.

Underwater dual-magnification imaging for automated lake plankton monitoring

The paper introduces a dual-magnification imaging system for automated plankton monitoring, showing it can accurately detect and characterize plankton species and track ecological dynamics in both lab and field settings.

Deep Learning Classification of Lake Zooplankton

The paper develops deep learning models to classify lake zooplankton images with high accuracy and evaluates their performance on external datasets.