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Spatiotemporal Topic Modeling Reveals Storm-Driven Advection and Stirring Control Plankton Community Variability in an Open Ocean Eddy
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  • John Edward San Soucie,
  • Heidi M Sosik,
  • Yogesh Girdhar,
  • Alexi Shalapyonok,
  • Emily Peacock,
  • Leah Johnson
John Edward San Soucie
Woods Hole Oceanographic Institution

Corresponding Author:[email protected]

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Heidi M Sosik
WHOI
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Yogesh Girdhar
Woods Hole Oceanographic Institution
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Alexi Shalapyonok
WHOI
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Emily Peacock
Woods Hole Oceanographic Institution
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Leah Johnson
Brown University
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Abstract

Phytoplankton communities in the open ocean are high-dimensional, sparse, and spatiotemporally heterogeneous. The advent of automated imaging systems has enabled high-resolution observation of these communities, but the amounts of data and their statistical properties make analysis with traditional approaches challenging. Spatiotemporal topic models offer an unsupervised and interpretable approach to dimensionality reduction of sparse, high-dimensional categorical data. Here we use topic modeling to analyze neural-network-classified phytoplankton imagery taken in and around a retentive eddy during the 2021 North Atlantic EXport Processes in the Ocean from Remote Sensing (EXPORTS) field campaign. We investigate the role physical-biological interactions play in altering plankton community composition within the eddy. Analysis of a water mass mixing framework suggests that storm-driven surface advection and stirring were major drivers of the progression of the eddy plankton community away from a diatom bloom over the course of the cruise.
20 Apr 2024Submitted to ESS Open Archive
26 Apr 2024Published in ESS Open Archive