The distribution of methylated sulfur compounds, DMS and DMSP, in Canadian subarctic and Arctic marine waters during summer 2015
We present seawater concentrations of dimethyl sulfide (DMS) and dimethylsulfoniopropionate (DMSP) measured across a transect from the Labrador Sea to the Canadian Arctic Archipelago during summer 2015. Using an automated ship-board gas chromatography system and a membrane-inlet mass spectromete...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-04-01
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Series: | Biogeosciences |
Online Access: | https://www.biogeosciences.net/15/2449/2018/bg-15-2449-2018.pdf |
Summary: | We present seawater concentrations of dimethyl sulfide (DMS) and
dimethylsulfoniopropionate (DMSP) measured across a transect from the
Labrador Sea to the Canadian Arctic Archipelago during summer 2015. Using an
automated ship-board gas chromatography system and a membrane-inlet mass
spectrometer, we measured a wide range of DMS (∼ 1 to 18 nM)
and DMSP (∼ 1 to 150 nM) concentrations. The highest DMS and
DMSP concentrations occurred in a localized region of Baffin Bay, where
surface waters were characterized by high chlorophyll <i>a</i> (chl <i>a</i>)
fluorescence, indicative of elevated phytoplankton biomass. Across the full
sampling transect, there were only weak relationships between DMS(P), chl <i>a</i>
fluorescence and other measured variables, including positive relationships
between DMSP : chl <i>a</i> ratios and several taxonomic marker pigments, and
elevated DMS(P) concentrations in partially ice-covered areas. Our high
spatial resolution measurements allowed us to examine DMS variability over
small scales (< 1 km), documenting strong DMS concentration gradients
across surface hydrographic frontal features. Our new observations fill in an
important observational gap in the Arctic Ocean and provide additional
information on sea–air DMS fluxes from this ocean region. In addition, this
study constitutes a significant contribution to the existing Arctic DMS(P)
dataset and provides a baseline for future measurements in the region. |
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ISSN: | 1726-4170 1726-4189 |