Quantification of the pelagic primary production beneath Arctic sea ice

Jaclyn L Clement Kinney1, Prof. Wieslaw Maslowski, Ph.D.2, Robert Osinski3, Marina Frants4 and Younjoo Lee2, (1)Naval Postgraduate School, Monterey, United States, (2)Naval Postgraduate School, Monterey, CA, United States, (3)Institute of Oceanology Polish Academy of Sciences, Sopot, Poland, (4)University of New South Wales, Sydney, NSW, Australia
Abstract:
In high-latitude environments such as the Arctic Ocean, phytoplankton growth is strongly constrained by light availability. Because light penetration into the upper ocean is attenuated by snow and ice cover, it was generally believed until recently that phytoplankton growth was limited to areas of open water, with negligible growth under the ice. However, under-ice phytoplankton blooms have been reported multiple times over the past several decades [e.g. Fukuchi et al. (1989); Legendre, Ingram, and Poulin (1989)]. In July 2011, Arrigo et al. (2012) observed a massive phytoplankton bloom beneath sea ice in the Chukchi Sea. Observational evidence suggests that this bloom was not an isolated case, and that under-ice blooms maybe widespread on the Arctic continental shelves (Arrigo et al., 2014; Lowry, van Dijken, & Arrigo, 2014).

Arrigo and van Dijken (2011) estimate the total Arctic NPP to be 438 +/- 21.5 Tg C yr -1. However, due to observational limitations, this estimate did not include under sea ice production. Therefore, an open question remains: How important are under-ice phytoplankton blooms to the total Arctic primary production?

RASM is a high-resolution, fully-coupled, regional model with a domain encompassing the entire marine cryosphere of the Northern Hemisphere, including the major inflow and outflow pathways, with extensions into North Pacific and Atlantic oceans. The components of RASM include: atmosphere, sea ice, ocean, biogeochemical, and land hydrology. The ocean BGC component in RASM is a medium-complexity Nutrients-Phytoplankton-Zoo-plankton-Detritus (NPZD) model. The model has three phytoplankton categories: diatoms, small phytoplankton and diazotrophs.

RASM results show that under-ice pelagic chl-a and primary production values can at times be very high, particularly during the spring bloom. Our numerical model results are similar to under-ice observations by Arrigo et al. (2012). With this tool we are also able to see an increase in primary production over the last several decades. This increase is attributed to the reduced sea ice cover, which increases light availability to the upper ocean. We conclude that under-sea-ice pelagic primary production makes up a large fraction of the total production and cannot be considered negligible.