Abstract

Producing very extensive blooms in the world’s oceans in both hemispheres, a coccolithophore E. huxleyi affects both marine ecology and carbon fluxes at the atmosphere-ocean interface. In turn, it is subject to impacts of multiple co-acting environmental forcings responsible for spatio-temporal dynamics in E. huxleyi blooms. To reveal the individual importance of each forcing factor (FF) that is known to significantly control the extent and intensity of E. huxleyi blooms, the 1998-2016 spaceborne time series of sea surface temperature and salinity, incident photosynthetically active radiation, and the Ekman depth relevant to the North, Norwegian, Greenland, Labrador, Barents and Bering seas were employed. The descriptive statistical approach showed that E. huxleyi phytoplankton blooms were capable of arising and developing within wide but expressly sea-specific FFs ranges. Sea-specific FFs ranges, within which the blooms are particularly extensive were identified. The Random Forest Classifier (RFC) allowed to reliably rank the FFs in terms of their role in E. huxleyi bloom spatiotemporal dynamics in each target sea. High prediction ability of RFC modelling (>70%) confirms the adequacy of the developed FFs prioritization models. Although the parameters of the carbon chemistry system per se were beyond consideration, however, over the twenty years of observations, the prioritized FFs have not failed to explain the registered patterns of the spatial extent of and particulate inorganic carbon content in E. huxleyi blooms. Also, several verifications (pastcasts) showed a high degree of their consistency with the observations. Collectively, these results tell in favor of sufficiency of the FFs employed.

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