Culhane Emmett

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Culhane
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Emmett
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  • Article
    Plankton imagery data inform satellite-based estimates of diatom carbon
    (American Geophysical Union, 2022-06-18) Chase, Alison P. ; Boss, Emmanuel S. ; Haëntjens, Nils ; Culhane, Emmett ; Roesler, Collin S. ; Karp-Boss, Lee
    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.