Tara Oceans Coordinators

This study analyzes diatom diversity and abundance in the global ocean using Tara Oceans data, identifying key environmental drivers and community patterns.

The paper quantifies plankton community structure globally, revealing inverted biomass pyramids dominated by gelatinous organisms and predicting future shifts in oceanic carbon cycles.

The paper uses satellite data and machine learning to predict global plankton community distributions with 67% accuracy, outperforming temperature and chlorophyll a alone.

The paper analyzes plankton genomic distribution across oceans to show how large-scale currents shape biogeography, revealing size-dependent patterns and basin-scale transport effects.

The paper assesses the vulnerability of the global ocean plankton community interactome to environmental change using niche modeling and Tara Oceans data.

The paper reconstructs metagenomic bins from Arctic Ocean samples to characterize microbial communities and their metabolic capabilities, identifying novel species and active MAGs that may serve as climate change sentinels.

The paper analyzes global ocean viruses to uncover their genomic diversity and ecological roles in biogeochemical cycles.