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Full text: Eddy-enhanced primary production sustains heterotrophicmicrobial activities in the Eastern Tropical North Atlantic

Q. Devresse et al.: Eddy-enhanced primary production sustains heterotrophic microbial activities 
5201 
2 Materials and methods 
face temperature and salinity (not compensated by density) 
different from the adjacent stations (Fig. 1b). Hence, we re- 
ferred to that station as “frontal zone”. The classification of 
stations is thoroughly discussed in the Supplement, and the 
sampling time, location, and distance from the eddy centre 
are given in Table S1. 
2.2 Chemical analyses 
2.1 Study area and eddy characterisation 
Sampling was conducted in the ETNA between the Cape 
Verde archipelago and the Mauritanian coast during cruise 
M156 (3 July to 1 August 2019; Fig. 1a) on the R/V Meteor. 
Samples were collected during the relaxation period, which 
Is typically from May to July following the upwelling sea- 
son (January to March; Lathuiliere et al., 2008). A CE was 
sampled at high spatial resolution along two zonal transects 
(from 19.1 to 18.2° W at 18.3° N and from 18.5 to 17.1° W 
at 18.6° N) and one meridional transect (from 19.4 to 18° N 
at 18.4 to 18.1° W). The zonal transect slightly shifted east- 
west of the eddy core position. The reason for that was the de- 
formed eddy shape (see Fig. la), which made it challenging 
to identify the centre of the eddy and required rerouting of the 
ship’s track during the survey. In addition, we sampled water 
along an 18° N transect, a typical coast to open ocean trajec- 
tory of eddies in this region (Schütte et al., 2016). Salinity, 
:emperature, depth, and O0, concentration were determined 
using a Seabird 911 plus CTD system equipped with two 
independently working sets of temperature-conductivity— 
oxygen sensors. The oxygen sensor was calibrated against 
discrete water samples using the Winkler method (Strick- 
land and Parsons, 1968; Wilhelm, 1888). Seawater samples 
were collected using 10L Niskin bottles attached to the CTD 
Rosette. A total of 25 stations (Table S1) were sampled, 14 
of them inside or in the vicinity of the CE. Sampling was 
conducted in the epipelagic layer (0-200 m), including sam- 
ples from the surface mixed layer, the Chl @ maximum, and 
che shallow oxygen minimum zone (OMZ; < 50 umolkg 7! 
vetween 0-200 m depth) when present. 
Sea surface height (SSH) and acoustic Doppler current 
profiler (ADCP) velocity data (Fig. 1) characterised the eddy 
as a CE. Based on the angular momentum eddy detec- 
tion and tracking algorithm (AMEDA; Le Vu et al., 2018), 
che eddy was estimated to be 1.5 months old. The cen- 
tre of the eddy and the core radius were determined using 
ADCP reconstructions assuming an axis-symmetric vortex 
(Fig. 1). On 22 July 2019, the eddy centre was located at 
18.69° N, 18.05° W, with a core radius of 40.5 + 5.7 km. The 
mean azimuthal velocity in the CE was 19.94 0.7cms”!, 
and the absolute dynamic topography (ADT) associated 
with the CE core was —23cm on 23 July 2019. How- 
ever, as the eddy shape was deformed, the ADCP recon- 
struction did not constrain well the physical border of the 
eddy (Fig. S1). Therefore, we combined sea surface temper- 
ature (23.44 + 0.47 °C), salinity (39.95 + 0.04), and Chl a 
(1.35 + 0.73 ug L7!) data to approximate the area influenced 
by the eddy (Fig. 1b, c, d). We classified stations into “core” 
and “periphery” of the eddy. Stations that were outside and 
westward of the eddy influence were referred to as “open 
ocean” and those close to the coast as “coastal”. Just beyond 
the eddy periphery, at St. E3, a front was observed with sur- 
Nutrient concentrations were determined at selected stations 
(Table S1). Nutrients were measured on board from duplicate 
unfiltered seawater samples (11 mL). Ammonium (NH?) 
was analysed based on Solörzano (1969) and phosphate 
(POa4), nitrate (NO; ), nitrite (NO, ), and silicate (Si(OH)4) 
were measured photometrically with continuous-flow anal- 
ysis on an auto-analyser (QuAAtro; Seal Analytical) based 
on Hansen and Koroleff (1999). Detection limits for NH7. 
PO4, NO3, NO», and Si(OH)4 were 0.1, 0.02, 0.1, 0.02, 
and 0.2 umol L7!, respectively. Dissolved inorganic nitrogen 
(DIN) was calculated as the sum of NH7, NO; , and NO; . 
To estimate the fraction of semi-labile dissolved organic 
carbon (SL-DOC), we determined high-molecular-weight 
(HMW > 1kDa) dissolved combined carbohydrates (dC- 
CHO) and dissolved hydrolysable amino acids (dHAA) as 
the main biochemical components of DOM (Carlson, 2002). 
For dCCHO analysis, duplicate samples (20mL) were fil- 
tered through 0.45 um Acrodisc filters, collected in com- 
busted glass vials (8h, 450°C) and frozen (—20°C) until 
analysis based on Engel and Händel (2011) with a detection 
limit of 1ug L7!. The analysis detected 11 monomers: ara- 
binose, fucose, galactose, galactosamine, galacturonic acid, 
glucosamine, glucose, glucuronic acid, rhamnose, co-elute 
mannose, and xylose. For dHAA analysis, duplicate sam- 
ples (4mL) were filtered through 0.45 um Acrodisc fil- 
ters, collected in combusted glass vials (8h, 450 °C), and 
frozen (—20°C) until analysis. After in-line derivatisation 
(2min) with o-phthaldialdehyde and mercaptoethan, dHAA 
were separated by high-performance liquid chromatography 
(HPLC; Agilent Technologies, USA) and detected fluoro- 
metrically. The HPLC was equipped with a C1i8 column (Phe- 
nomenex, USA) (Lindroth and Mopper, 1979; Dittmar et 
al., 2009). The analysis classified 13 monomers with a pre- 
cision <5% and a detection limit of 2nmolL7!: alanine, 
arginine, aspartic acid, isoleucine, glutamic acid, glycine, 
leucine, phenylalanine, serine, threonine, tyrosine, valine. 
and y-aminobutyric acid (GABA). The calculations for the 
carbon content of dCCHO and dHAA were based on carbon 
atoms contained in the identified monomers. The sum of dC- 
CHO and dHAA carbon content is referred to as SL-DOC. 
For Chl a, 1 L seawater samples were filtered onto 25 mm 
GF/F filters (0.7 um pore size, Whatman, GE Healthcare 
Life Sciences, UK) and subsequently frozen (—20 °C) un- 
til extraction using 90% acetone for photometric analyses 
(Turner Designs, USA) slightly modified based on Evans et 
al. (19877. 
https://doi.org/10.5194/bg-19-5199-202. 
Biosgeosciences. 19. 5199-5219. 2022
	        
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