The dimethylsulfide cycle in the eutrophied
Southern North Sea: a model study
integrating phytoplankton and bacterial
processes
26-30 May 2014 Barcelona, Spain
N. Gypens1, A.V. Borges2, G. Speeckaert1 and C. Lancelot1 1 Université Libre de Bruxelles, Belgium
Objective and methodology
• What is the
seasonal
variability of DMS emissions? What is the
importance of
phytoplankton succession
on DMSP production and
DMS emission?
26-30 May 2014 Barcelona, Spain
Objective: To investigate the link between ecosystem structure and DMS
emission
Methodology: MIRO-DMS model applied to the Southern North Sea
• What is the relative importance of
phytoplankton and bacterial
processes
on DMS emission?
• What is the
impact of anthropogenic pressure
(C and nutrient river
loads, atmospheric CO
2increase) on DMS emission?
Eutrophied area → Phaeocystis (Haptophyceae) High DMSP producers → Diatoms Low DMSP producers Chl a in 2005 May Source: ECOMAR GEM-IES → Ecosystem disturbance High primary production
0 100 200 300 400 500 600 Month Ph yt op la nk to n b io m as s, m gC m -3 J F M A M J J A S O N D Diatoms Phaeocystis Not grazed Foam accumulation
The Southern Bight of the North Sea
26-30 May 2014Barcelona, Spain
High nutrients loads
Atlantic waters
Lancelot et al., 2005 GRA PO4 NH4 NO3 DSi BC DAF Diatoms growth photos & resp. growth & resp. CO2 DAS DAR Lysis & excretion NFF growth photos & resp. NFS NFR Autotrophic flagellates heterotrophic. bact. exoenz. hydrol Excretion minera-lization CO2 MZ Grazing growth & resp. mortality microzooplankton Copepods nitrif. nitrif. NO3 NH4 organ.matter degrad. O xi c la ye r A n o xi c la ye r PCNP 1,2 denit. PO4 ads PO4 BSi dissol. sedim. O2 Sediment accretion OPF growth photos
& resp. OPS OPR
Phaeocystis colonies Grazing growth & resp. CP fixed C:N:P fixed C:N:P fixed C:N:P DN1,2 DP1,2 DC1,2 PN1,2 PP1,2 PC1,2 BSN BSC PO4 fixed C:N:P fixed C:N:P fixed C:N:P OPM mucus CO2 CO2 Colony disruptn
Mathematical tool: the MIRO model
26-30 May 2014[
]
SCn n sed grazing n lysis n µ dt dDMSPp * − − − =(
)
n n n uptake n DMS lysis SC grazing SC DMSPd y dt dDMSPd − + − = 1 * * * DMS uptake n n nDMS lysis SC bacterial hydrolysis DMS photooxydation F
y dt dDMS − − − + = * * _
For n=DA, NF and OP
Mathematical tool: the DMS(P) module
26-30 May 2014Barcelona, Spain
Mathematical tool: MIRO-DMS implementation
26-30 May 2014Barcelona, Spain
Seasonal cycle: METTRE CONDITIONS DE SIMULATION
The DMS(P) seasonal evolution
26-30 May 2014The DMS(P) seasonal evolution
26-30 May 2014Barcelona, Spain
Parameters Units Values Annual mean [DMS] FDMS
(µmolS m-3) (mmolS m-2 y-1)
REFERENCE 0.9 0.19
Test 1 SCNF, SCOP mol S:molC 0.018 1.5 0.32
Test 2 SCNF, SCOP mol S:molC 0.004 0.3 0.07
Test 3 SCDA mol S:molC 0.00212 0.9 0.21
Test 4 SCDA mol S:molC 0 0.8 0.18
Test 5 SCDA mol S:molC 0.0034 1.0 0.23
Phytoplankton vs bacterial processes
26-30 May 2014The DMS(P) seasonal evolution
26-30 May 2014Barcelona, Spain
Sensitivity to phytoplankton, bacterial and physical parameters
Parameters Units Values Annual mean [DMS] FDMS
(µmolS m-3) (mmolS m-2 y-1)
REFERENCE 0.9 0.19
Sensitivity to phytoplankton parameters
Test 1 SCNF, SCOP mol S:molC 0.018 1.5 0.32
Test 2 SCNF, SCOP mol S:molC 0.004 0.3 0.07
Test 3 SCDA mol S:molC 0.00212 0.9 0.21
Test 4 SCDA mol S:molC 0 0.8 0.18
Test 5 SCDA mol S:molC 0.0034 1.0 0.23
Test 6 yDADM S, y NF DM S, y OP DM S - 0 0.5 0.11 Test 7 yDADM S, y NF DM S, y OP DM S - 0.25 1.4 0.32 Test 8 yDADM S, y NF DM S, y OP DM S - 0.5 2.4 0.53 Test 9 yNFDM S, y OP DM S - 0.5 2.3 0.51 Test 10 yDADM S - 0.5 0.9 0.21
Sensitivity to bacteria parameters
Test 11 SCBC mol S:molC 1:37 0.8 0.17
Test 12 SCBC mol S:molC 1:196 0.9 0.2
Test 13 RatioBC - 0.75 1.1 0.24
Test 14 RatioBC - 0.5 1.4 0.32
Test 15 RatioBC for DMSPd - 0.5 0.9 0.2
Test 16 RatioBC for DMS - 0.5 1.4 0.32
Test 17 khydrolysis - 0.25 1.6 0.35
Sensitivity to wind speed and k parameterization
Test 18 wind forcing m s-1 3.9 0.9 0.24
Test 19 wind forcing m s-1 -25% 0.9 0.13
The DMS(P) seasonal evolution
26-30 May 2014Barcelona, Spain
Sensitivity to phytoplankton, bacterial and physical parameters
Phytoplankton parameters
M
o
d
è
le
é
c
o
lo
g
iq
u
e
M
A
R
S
3
D
Hydro-climatic constraints Landuse and agricultural practices Point sources pollution(WWTP)
Hydrological network morphology
Water quality in the hydrological
network and N, P, Si fluxes delivered to the sea
S
e
n
e
q
u
e
-R
iv
e
rs
tr
a
h
le
r
M
o
d
e
l
E
c
o
lo
g
ic
a
l
m
o
d
e
l
S
R
-M
IR
O
-D
M
S
Description of ecologicalprocesses in aquatic
RIVE
MIRO-DMS
100 km North Sea Channel WCH FCZ BCZ Seine Scheldt Somme Rhine N * 330Diatoms and undesirable Phaeocystis blooms in the coastal
zone and
CO2and DMS emissions
Impact of anthropogenic pressure
26-30 May 2014Barcelona, Spain
Impact of anthropogenic pressure
26-30 May 2014Barcelona, Spain
Faire la meme figure avec seulement les résus de la simulation de référence
26-30 May 2014 Barcelona, Spain
Faire la meme figure avec seulement les résus de la simulation de référence et pH simulation
Mettre graphe evolution pCO2 atm
Faire la meme figure avec seulement les résus de la simulation de référence et pH simulation
26-30 May 2014 Barcelona, Spain
Faire la meme figure avec seulement les résus de la simulation de référence et pH simulation
Mettre graphe evolution pCO2 atm
26-30 May 2014