A high-resolution survey of DMS, CO2, and O2/Ar distributions in productive coastal waters
Article first published online: 7 MAY 2008
Copyright 2008 by the American Geophysical Union.
Global Biogeochemical Cycles
Volume 22, Issue 2, June 2008
How to Cite
2008), A high-resolution survey of DMS, CO2, and O2/Ar distributions in productive coastal waters, Global Biogeochem. Cycles, 22, GB2009, doi:10.1029/2006GB002879., , and (
- Issue published online: 7 MAY 2008
- Article first published online: 7 MAY 2008
- Manuscript Accepted: 7 FEB 2008
- Manuscript Revised: 18 JAN 2008
- Manuscript Received: 3 NOV 2006
- membrane inlet mass spectrometry;
 We present continuous, high-resolution measurements of surface dimethylsulfide (DMS), pCO2, and O2/Ar obtained in coastal waters off British Columbia, Canada, using membrane inlet mass spectrometry (MIMS). Sampled underway at a frequency of twice per minute (every ∼160 m at 10 knots cruising speed), our data reveal fine-scale structure in gas variability and its covariance with a number of hydrographic parameters. All parameters exhibited large ranges (pCO2, 200–747 ppm; DMS, <1–29 nM; chl a, <0.1–33 μg L−1), highlighting the dynamic nature of the study area. A strong anticorrelation between pCO2 and O2/Ar was observed across the survey region, with the distributions of these gases influenced by biology and its interplay with physical processes. In contrast, DMS levels, which varied dramatically over short distances, showed no significant correlations with any single variable for the full, high-resolution data set. However, when measurements were binned to a much coarser spatial resolution, we found a linear relationship between surface DMS and the chlorophyll/mixed layer depth ratio. The slope of this relationship differed significantly from that previously derived from open ocean data. We used several statistical techniques to estimate the spatial variability of gases and hydrographic parameters and the inherent sampling errors associated with low-frequency sampling approaches. These analyses emphasize the importance of high-resolution sampling in coastal areas, particularly for DMS.