Till‐Hendrik Macher

This study uses eDNA metabarcoding to monitor biodiversity across aquatic habitats, finding it provides more species data at lower cost than traditional methods.

This study reanalyzes global riverine fish eDNA datasets to show that biodiversity conclusions are robust despite varying bioinformatic workflows and reference databases.

The paper uses environmental DNA metabarcoding of archived samples to track long-term fish biodiversity trends and identify drivers of change across six European river systems over 17 years.

This study uses global eDNA data to show how riverine fish biodiversity relates to drainage characteristics, revealing climate and human activity effects vary by biodiversity facet and catchment size.

The paper demonstrates that rainwash eDNA metabarcoding can detect canopy invertebrate diversity, revealing species not present in water samples and showing host-specific patterns.

This paper shows that increasing field replicates improves detection of non-fish vertebrates in stream eDNA metabarcoding, while fish detection increases less.

TaxonTableTools provides a GUI for analysing and visualising DNA metabarcoding data, enabling users to perform ecological analyses and generate visualisations without bioinformatic expertise.