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Plankton Imagery Data Inform Satellite-Based Estimates of Diatom Carbon.


ABSTRACT: Estimating the biomass of phytoplankton communities via remote sensing is a key requirement for understanding global ocean ecosystems. Of particular interest is the carbon associated with diatoms given their unequivocal ecological and biogeochemical roles. Satellite-based algorithms often rely on accessory pigment proxies to define diatom biomass, despite a lack of validation against independent diatom biomass measurements. We used imaging-in-flow cytometry to quantify diatom carbon in the western North Atlantic, and compared results to those obtained from accessory pigment-based approximations. Based on this analysis, we offer a new empirical formula to estimate diatom carbon concentrations from chlorophyll a. Additionally, we developed a neural network model in which we integrated chlorophyll a and environmental information to estimate diatom carbon distributions in the western North Atlantic. The potential for improving satellite-based diatom carbon estimates by integrating environmental information into a model, compared to models that are based solely on chlorophyll a, is discussed.

SUBMITTER: Chase AP 

PROVIDER: S-EPMC9541314 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

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Plankton Imagery Data Inform Satellite-Based Estimates of Diatom Carbon.

Chase A P AP   Boss E S ES   Haëntjens N N   Culhane E E   Roesler C C   Karp-Boss L L  

Geophysical research letters 20220701 13


Estimating the biomass of phytoplankton communities via remote sensing is a key requirement for understanding global ocean ecosystems. Of particular interest is the carbon associated with diatoms given their unequivocal ecological and biogeochemical roles. Satellite-based algorithms often rely on accessory pigment proxies to define diatom biomass, despite a lack of validation against independent diatom biomass measurements. We used imaging-in-flow cytometry to quantify diatom carbon in the weste  ...[more]

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