Q. Devresse et al.: Eddy-enhanced primary production sustains heterotrophic microbial activities
5213
0.83 and 0.76, respectively, p<0.001). However, BR was not
significantly correlated to autotrophic pico- and nanoplank-
ton biomass, PPrTorT, and PPpoc (r = —0.05, 0.61, and 0.50,
respectively, p>0.05).
4 Discussion
4.1
Effect of a cyclonic eddy on the distribution of
phytoplankton abundance and activity in the
Mauritanian upwelling system
In general, coastal Chl @ concentration during this study
was not as high as observed in earlier studies with strong
coastal upwelling (e.g. Alonso-Säez et al., 2007; Agusti and
Duarte, 2013; Aristegui et al., 2020). This might be related
to the relatively weak upwelling resulting from weak surface
winds along the Mauritanian coast typically occurring dur-
ing summer when our samples were collected (Pelegri and
Pefa-Izquierdo, 2015). Consequently, during summer, fewer
nutrients reach the euphotic zone. At the same time, off-
shore surface wind remained strong, enhanced vertical mix-
ıng, and may explain why coastal Chl a concentration was
only slightly higher compared to the open ocean. When ex-
cluding the eddy-influenced stations, there was no marked
gradient in phytoplankton productivity either, unlike other re-
gions of the CanUS (Demarcq and Somoue, 2015; Arfstegui
et al., 2020). PPror and PPpoc rates stayed rather constant
from the coast to the open ocean and were in the range of
reported rates in oligotrophic offshore waters of the CanUS
(Agustf and Duarte, 2013; Lasternas and Agustf, 2014). The
spatial distribution of SL-DOC was relatively uniform as
well when considering the coastal and open ocean stations
only. PER in our study was on average 51.1 +17 % in both
the open ocean and the coastal stations, which is in contrast
to previous findings. For example, Agustf and Duarte (2013)
reported PER to range from — 1 % in “healthy” communities
from the upwelled waters of the CanUS to — 70 % in “dy-
ing” communities from the oligotrophic waters of the ETNA.
PER values have been reported to increase with nutrient de-
pletion (Obernosterer and Herndl, 1995; Agustf and Duarte,
2013; Lasternas et al., 2014; Piontek et al., 2019) among
other factors (see review by Mühlenbruch et al., 2018). Since
upwelling was weak during our sampling period, low nutri-
ent concentrations in the surface waters might explain the
relatively high PER that we observed near the coast.
The CE broke this rather uniform distribution of phyto-
plankton productivity from the coastal to the open ocean wa-
‚ers. Chl a isolines were pushed towards the surface in the
CE (Fig. 4a). A similar uplifting of Chl a isolines towards
che surface has been reported for other eddies (Lochte and
Pfannkuche, 1987; Feng et al., 2007; Noyon et al., 2019)
and might result from phytoplankton relocation through in-
tense vertical mixing by strong surface winds (Feng et al.,
2007; Noyon et al., 2019). Before our eddy survey, strong
https://doi.org/10.5194/bg-19-5199-2027
{a}
A
RE
Rn
Depth
Temperature
DIN
PO4 fx
SICOH)4
SL-DOC
Chla
AutPI
PPror
PPosc
HB
BR
BP
3
@ ST
Ei
Open ocean
+ Coastal
&
za
a 8
m
Mohr
A
rare. PL
a
(b)
Fi
$
Depth
Temperalure
DIN Be
PO,
SICOH), ME“
SL-DOC
Chla **
AutPt Ba
P| Pror
PPose
HB
BR
BP
„o*
Pd
Cyclonic eddy
+ Frontal zone
S
T
5
Sr ZO
x N
KT
Oo
bb
&
gi
>
N
rn
*
*
FF. —
.
Y
FF
Be
0.8
06 -04 -02 0 02 04 06
Correlation coefficient (r)
08
Figure 7. Pearson correlation matrix of biochemical parameters,
metabolic activities, and bacterial abundance in the upper 100 m in
samples not influenced by the cyclonic eddy (ie. coastal and open
ocean stations) (a) and samples influenced by the cyclonic eddy (b).
Statistical significance: *** <0.001, ** <0.01, * <0.05.
Biogeosciences, 19, 51995219, 2022