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Marine snow morphology illuminates the evolution of phytoplankton blooms and determines their subsequent vertical export.

Emilia TrudnowskaLéo LacourMathieu ArdynaAndreas RoggeJean Olivier IrissonAnya M WaiteMarcel BabinLars Stemmann
Published in: Nature communications (2021)
The organic carbon produced in the ocean's surface by phytoplankton is either passed through the food web or exported to the ocean interior as marine snow. The rate and efficiency of such vertical export strongly depend on the size, structure and shape of individual particles, but apart from size, other morphological properties are still not quantitatively monitored. With the growing number of in situ imaging technologies, there is now a great possibility to analyze the morphology of individual marine snow. Thus, automated methods for their classification are urgently needed. Consequently, here we present a simple, objective categorization method of marine snow into a few ecologically meaningful functional morphotypes using field data from successive phases of the Arctic phytoplankton bloom. The proposed approach is a promising tool for future studies aiming to integrate the diversity, composition and morphology of marine snow into our understanding of the biological carbon pump.
Keyphrases
  • machine learning
  • deep learning
  • high resolution
  • water quality
  • climate change
  • photodynamic therapy
  • risk assessment
  • mass spectrometry
  • case control
  • single cell