Abstract

Assessing the role of sea ice algal biomass and primary production for polar ecosystems remains challenging due to the strong spatio-temporal variability of sea ice algae. Therefore, the spatial representativeness of sea ice algal biomass and primary production sampling remains a key issue in large-scale models and climate change predictions of polar ecosystems. To address this issue, we presented two novel approaches to up-scale ice algal chl a biomass and net primary production (NPP) estimates based on profiles covering distances of 100 to 1,000 s of meters. This was accomplished by combining ice core-based methods with horizontal under-ice spectral radiation profiling conducted in the central Arctic Ocean during summer 2012. We conducted a multi-scale comparison of ice-core based ice algal chl a biomass with two profiling platforms: a remotely operated vehicle and surface and under ice trawl (SUIT). NPP estimates were compared between ice cores and remotely operated vehicle surveys. Our results showed that ice core-based estimates of ice algal chl a biomass and NPP do not representatively capture the spatial variability compared to the remotely operated vehicle-based estimates, implying considerable uncertainties for pan-Arctic estimates based on ice core observations alone. Grouping sea ice cores based on region or ice type improved the representativeness. With only a small sample size, however, a high risk of obtaining non-representative estimates remains. Sea ice algal chl a biomass estimates based on the dominant ice class alone showed a better agreement between ice core and remotely operated vehicle estimates. Grouping ice core measurements yielded no improvement in NPP estimates, highlighting the importance of accounting for the spatial variability of both the chl a biomass and bottom-ice light in order to get representative estimates. Profile-based measurements of ice algae chl a biomass identified sea ice ridges as an underappreciated component of the Arctic ecosystem because chl a biomass was significantly greater in this unique habitat. Sea ice ridges are not easily captured with ice coring methods and thus require more attention in future studies. Based on our results, we provide recommendations for designing an efficient and effective sea ice algal sampling program for the summer season.

Highlights

  • There is mounting evidence for an overall increase in Arctic-wide net primary production (NPP) as a result of the declining sea ice cover and increasing duration of the phytoplankton growth season (Arrigo and van Dijken, 2011, 2015; Fernández-Méndez et al, 2015)

  • Our results showed that ice core-based estimates of ice algal chl a biomass and NPP do not representatively capture the spatial variability compared to the remotely operated vehicle-based estimates, implying considerable uncertainties for pan-Arctic estimates based on ice core observations alone

  • We investigate the spatial patterns of chl a biomass and NPP estimates, using two under-ice profiling platforms: the Remotely Operated Vehicle (ROV) and Surface and Under Ice Trawl (SUIT), with special emphasis on sea ice ridges, and evaluate potential discrepancies between the up-scaled and ice core-based estimates

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Summary

Introduction

There is mounting evidence for an overall increase in Arctic-wide net primary production (NPP) as a result of the declining sea ice cover and increasing duration of the phytoplankton growth season (Arrigo and van Dijken, 2011, 2015; Fernández-Méndez et al, 2015). It remains uncertain how sea ice algae NPP will respond to continued changes of the sea ice environment. Declining sea ice may increase oceanic CO2 intake, which would result in increased NPP, but could be counteracted by increased runoff and higher temperatures expected throughout the Arctic (Tremblay et al, 2015)

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