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The dimethylsulfide cycle in the eutrophied Southern North Sea: a model study integrating phytoplankton and bacterial processes

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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

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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

2

increase) on DMS emission?

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 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 2014

Barcelona, Spain

 High nutrients loads

Atlantic waters

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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

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[

]

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 n

DMS 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 2014

Barcelona, Spain

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Mathematical tool: MIRO-DMS implementation

26-30 May 2014

Barcelona, Spain

Seasonal cycle: METTRE CONDITIONS DE SIMULATION

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The DMS(P) seasonal evolution

26-30 May 2014

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The DMS(P) seasonal evolution

26-30 May 2014

Barcelona, 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

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Phytoplankton vs bacterial processes

26-30 May 2014

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The DMS(P) seasonal evolution

26-30 May 2014

Barcelona, 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

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The DMS(P) seasonal evolution

26-30 May 2014

Barcelona, Spain

Sensitivity to phytoplankton, bacterial and physical parameters

Phytoplankton parameters

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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

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e

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Description of ecological

processes in aquatic

RIVE

MIRO-DMS

100 km North Sea Channel WCH FCZ BCZ Seine Scheldt Somme Rhine N * 330

Diatoms and undesirable Phaeocystis blooms in the coastal

zone and

CO2and DMS emissions

Impact of anthropogenic pressure

26-30 May 2014

Barcelona, Spain

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Impact of anthropogenic pressure

26-30 May 2014

Barcelona, Spain

Faire la meme figure avec seulement les résus de la simulation de référence

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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

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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

(16)

26-30 May 2014

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