K. H. Wiltshire

The paper analyzes marine particle microbiomes during a spring diatom bloom and identifies active sulfate-reducing bacteria in the particulate fraction.

The paper shows how dissolved glycans from algal blooms influence bacterioplankton composition and how grazing affects glycan release during a North Sea spring bloom.

The paper evaluates Machine Learning models for predicting Chlorophyll-a concentrations using environmental data and finds Support Vector Machine Regressor performs best with improved accuracy through feature engineering.

The paper tracks changes in polysaccharide utilization modes by heterotrophic bacteria during a spring phytoplankton bloom, showing shifts from selfish uptake to external hydrolysis as the bloom progresses.