M. Khomich

What mycologists should talk about when they are talking about the International Code of Nomenclature for algae, fungi, and plants

The paper discusses the challenges of naming fungi discovered through environmental sequencing and proposes criteria for DNA-based species typification.

Neural networks and extreme gradient boosting predict multiple thresholds and trajectories of microbial biodiversity responses due to browning

The paper uses machine learning to show non-monotonic relationships between microbial diversity and browning in freshwater lakes, revealing thresholds and alternative diversity trajectories.

Evaluating geographic variation within molecular operational taxonomic units (OTUs) using network analyses in Scandinavian lakes

The paper evaluates geographic variation within molecular operational taxonomic units using network analyses on metabarcoding data from Scandinavian lakes and finds no assortative clustering or increased connectivity between neighboring lakes.