Zooplankton abundance and size structure in the North Atlantic from MSM26_126-10

Data on zooplankton abundance and biovolume were collected in concert with data on the biophysical environment at 9 stations in the North Atlantic, from the Iceland Basin in the East to the Labrador Sea in the West. The data were sampled along vertical profiles by a Laser Optical Plankton Counter (LOPC, Rolls Royce Canada Ltd.) that was mounted on a carousel water sampler together with a Conductivity-Temperature-Depth sensor (CTD, SBE19plusV2, Seabird Electronics, Inc., USA) and a fluorescence sensor (F, ECO Puck chlorophyll a fluorometer, WET Labs Inc., USA). Based on the LOPC data, abundance (individuals/m**3) and biovolume (mm3/m**3) were calculated as described in the LOPC Software Operation Manual [(Anonymous, 2006), http://www.brooke-ocean.com/index.html]. LOPC data were regrouped into 49 size groups of equal log10(body volume) increments, see Edvardsen et al. (2002, doi:10.3354/meps227205). LOPC data quality was checked as described in Basedow et al. (2013, doi:10.1016/j.pocean.2012.10.005). Fluorescence was roughly converted into chlorophyll based on filtered chlorophyll values obtained from station 10 in the Labrador Sea. Due to the low number of filtered samples that was used for the conversion the resulting chlorophyll values should be considered with care. CTD data were screened for erroneous (out of range) values and then averaged to the same frequency as the LOPC data (2 Hz). All data were processed using especially developed scripts in the python programming language. The LOPC is an optical instrument designed to count and measure particles (0.1 to 30 mm equivalent spherical diameter) in the water column, see Herman et al., (2004, doi:10.1093/plankt/fbh095). The size of particles as equivalent spherical diameter (ESD) was computed as described in the manual (Anonymous, 2006), and in more detail in Checkley et al. (2008, doi:10.4319/lo.2008.53.5_part_2.2123) and Gaardsted et al. (2010, doi:10.1111/j.1365-2419.2010.00558.x).

Glycerol dialkyl glycerol tetraethers (GDGT) abundance in suspended particulate matter from the South-west and Equatorial Atlantic Ocean

The TEX86 paleotemperature proxy is based on archaeal glycerol dibiphytanyl glycerol tetraether (GDGT) lipids preserved in marine sediments, yet both the influence of different physiological factors on the structural distribution of GDGTs, and the mechanism(s) by which GDGTs are exported to marine sediments remain unclear. In particular, TEX86 temperatures derived directly from suspended particulate matter (SPM) in the water column can diverge strongly from corresponding in situ temperatures. Here we investigated the abundance and structural distribution of GDGTs in the South-west and Equatorial Atlantic Ocean by examining SPM collected from four surface 1000 m depth profiles spanning 48 degrees of latitude. The depth distribution of GDGTs was consistent with our current understanding of marine archaeal ecology, and specifically of ammonia-oxidizing Thaumarchaeota. Maximum GDGT concentrations occurred at the base of the primary NO2- maximum. Core GDGTs dominated the structural distribution in surface waters, while intact polar GDGTs - thought to potentially indicate live cells - were more abundant at all depths below the maximum NO2- concentration. When integrated through the upper 1000 m of the water column, > 98% of GDGTs were present in waters at and below the depth of the primary NO2- maximum. TEX86-calculated temperatures showed local minima at the depth of the NO2- maximum, while the ratio of GDGT 2:GDGT 3 [2/3] increased with depth throughout the upper water column. These results were used to model the depth of origin for GDGTs exported to sediments. By comparing our SPM data to published TEX86 values and [2/3] ratios from sediments near our study sites, we conclude that most GDGTs are exported from the depth of maximum GDGT concentrations, near the subsurface NO2- maximum (~80-250 m). This indicates that local ammonia oxidation dynamics are important regional controls on the GDGT ratios preserved in sediments. Predicting the extent to which subsurface variations in archaeal activity may influence the sedimentary TEX86 record will require a better understanding of how site-specific productivity and particle dynamics in the upper water column influence the depth of origin for exported organic matter.