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Synthesis of Primary Production in the Arctic Ocean (1954-2007)

Synthesis of Primary Production in the Arctic Ocean (1954-2007)
Type: 
Poster
Patricia Matrai1, Victoria Hill2, Lou Codispoti3, Elise Olson4, Steve Suttles5, Vince Kelly6, Bonnie Light7, Michael Steele8
1Bigelow Laboratory for Ocean Sciences, W. Boothbay Harbor, ME, USA, pmatrai [at] bigelow [dot] org
2Old Dominion University, Norfolk, VA, USA, vhill [at] odu [dot] edu
3Horn Point Laboratory, University of Maryland, Cambridge, MD, USA, codispot [at] umces [dot] edu
4Woods Hole Oceanographic Institution, Woods Hole, MA, USA, eolson [at] whoi [dot] edu
5Green Eyes, LLC, Cambridge, MD, USA, steve [at] greeneyesobserving [dot] com
6Green Eyes, LLC, Cambridge, MD, USA, vince [at] greeneyesobserving [dot] com
76Applied Physics Laboratory, University of Washington, Seattle, WA, USA, bonnie [at] apl [dot] washington [dot] edu
8Applied Physics Laboratory, University of Washington, Seattle, WA, USA, mas [at] apl [dot] washington [dot] edu

Recent changes in the Arctic Ocean (AO) cryosphere which include reduced ice thickness and extent and surface warming have sparked keen interest in the possible consequences for primary production (PP). However, a benchmark Pan-Arctic estimate of PP has been difficult to determine as logistical difficulties prevent field work from being carried out for much of the year. The spatial and seasonal magnitude and variability of PP in the AO is quantified with a pan-arctic approach by applying complementary methods that emphasize different spatial/temporal scales, such as 14C uptake, an empirical algorithm, and nutrient-based net community production, using the ARCSS-PP database which includes in situ data collected over the past 50 years and which have never been collectively analyzed before. This extended data set also provides validation of satellite-derived PP, an extremely valuable tool in this environment which is so difficult to sample. These estimates from satellite-based observations are also used to increase both spatial and temporal coverage.

Surface, daily in situ PP averaged 70 mg C m-3 d-1 for spring for the ca. 50 year period across the AO. Annual averages of surface PP showed similar patterns in spatial and seasonal magnitude and variability to the daily PP averages. Annual IPP above 65oN was estimated at 396 TgC yr-1. This was considered to be the lower limit, as summertime IPP was underestimated by satellite modeling. Highest regional NCP values (~50-100 g C m-2) occur in the Nordic and Barents Seas. High regional NCP (~30-50 g C m-2) values occur over the northern Bering Sea Shelf, in the inner and outer Chukchi Sea, and in the Canadian Archipelago, but there is considerable intra-region variability, with some of the highest productivity rates in the Arctic embedded in these regions. Moderate regional NCP (~15-25 g C m-2) occurs in the Inner and Outer E. Siberian + Laptev Seas and Kara Sea and over the northeastern Greenland Shelf. Low NCP (NCP < 20 g C m-2) occurs in the Eurasian and Canadian Basins. Patterns and trends in PP in the vertical domain as well as within functional regions will be presented.

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National Science Foundation | Division of Arctic Sciences
National Science Foundation
National Oceanic and Atmospheric Administration
National Oceanic and Atmospheric Administration
International Arctic Systems for Observing the Atmosphere
International Arctic Systems for Observing the Atmosphere
Study of Environmental Arctic Change
Study of Environmental Arctic Change
Arctic System Science Program
Arctic System Science Program
US Arctic Research Commission
US Arctic Research Commission
North Slope Science Initiative
North Slope Science Initiative
International Arctic Science Committee
International Arctic Science Committee
Arctic Ocean Sciences Board
Arctic Ocean Sciences Board
Alaska Ocean Observing System
Alaska Ocean Observing System
Department of Energy
Department of Energy
National Aeronautics and Space Administration
National Aeronautics and Space Administration
World Wildlife Fund
WWF
Association of Polar Early Career Scientists
Association of Polar Early Career Scientists
Bureau of Land Management
Bureau of Land Management
International Study of Arctic Change
International Study of Arctic Change
ArcticNet
ArcticNet
DAMOCLES
Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies

This work is supported by the National Science Foundation (NSF) under the ARCUS Cooperative Agreement ARC-0618885. Any opinions, findings, and conclusions or recommendations expressed do not necessarily reflect the views of the NSF.