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

SUBMITTER: Chase AP 

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

REPOSITORIES: biostudies-literature