Abstract

Phytoplankton chemotaxonomic distributions are examined in conjunction with taxon specific particulate biomass concentrations and phytoplankton abundances to investigate the biogeochemical consequences of the passage of an autumn storm in the northeast Atlantic Ocean. Chemotaxonomy indicated that the phytoplankton community was dominated by nanoplankton (2–20μm), which on average represented 75±8% of the community. Microplankton (20–200μm) and picoplankton (<2μm) represented 21±7% and 4±3% respectively with the microplankton group composed of almost equal proportions of diatoms (53±17%) and dinoflagellates (47±17%). Total chlorophyll-a (TCHLa=CHLa+Divinyl CHLa) concentrations ranged from 22 to 677ngL−1, with DvCHLa making minor contributions of between <1% and 13% to TCHLa. Higher DvCHLa contributions were seen during the storm, which deepened the surface mixed layer, increased mixed layer nutrient concentrations and vertically mixed the phytoplankton community leading to a post-storm increase in surface chlorophyll concentrations. Picoplankton were rapid initial respondents to the changing conditions with pigment markers showing an abrupt 4-fold increase in proportion but this increase was not sustained post-storm. 19′-HEX, a chemotaxonomic marker for prymnesiophytes, was the dominant accessory pigment pre- and post-storm with concentrations of 48–435ngL−1, and represented 44% of total carotenoid concentrations. Accompanying scanning electron microscopy results support the pigment-based analysis but also provide detailed insight into the nano- and microplankton communities, which proved to be highly variable between pre-storm and post-storm sampling periods. Nanoplankton remained the dominant size class pre- and post-storm but the microplankton proportion peaked during the period of maximum nutrient and chlorophyll concentrations. Classic descriptions of autumn blooms resulting from storm driven eutrophication events promoting phytoplankton growth in surface waters should be tempered with greater understanding of the role of storm driven vertical reorganization of the water column and of resident phytoplankton communities. Crucially, in this case we observed no change in integrated chlorophyll, particulate organic carbon or biogenic silica concentrations despite also observing a ∼50% increase in surface chlorophyll concentrations which indicated that the surface enhancement in chlorophyll concentrations was most likely fed from below rather than resulting from in situ growth. Though not measured directly there was no evidence of enhanced export fluxes associated with this storm. These observations have implications for the growing practice of using chlorophyll fluorescence from remote platforms to determine ocean productivity late in the annual productivity period and in response to storm mixing.

Highlights

  • Autumn phytoplankton blooms are considered a characteristic feature of the temperate North Atlantic Ocean (Longhurst, 1995; Martinez et al, 2011)

  • As with individual surface values we find a better agreement between our integrated particulate inorganic carbon (PIC):particulate organic carbon (POC) values and the North Atlantic Drift (NADR) mean autumn value of 0.017 than to the NADR mean summer value of 0.04, though our integrated results encapsulate both mean seasonal estimates

  • Our observations indicate that particulate C:N ratios in the surface mixed layer were elevated compared to the Redfield ratio but the data show that the C:N ratio was decreasing in a gradual manner during the observation period

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Summary

Introduction

Autumn phytoplankton blooms are considered a characteristic feature of the temperate North Atlantic Ocean (Longhurst, 1995; Martinez et al, 2011). Induced deepening of the surface mixed layer or weakening thermal stratification due to general cooling of the water column, autumn blooms are classically considered as short lived periods of phytoplankton productivity following the entrainment of nutrients from depth (Russell and Yonge, 1928; Harvey et al, 1935; Margalef, 1969).

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