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Institut universitaire europeen de la mer (iuem) Laboratoire des sciences l’environnement 60 40 20 0 Up or down: Modeling the fates and rates of phytoplankton carbon in the North Atlantic Ocean Christoph Stegert Laurent Memery Thomas Gorgues Julie Deshayes

Up or down: Modeling the fates and rates of phytoplankton carbon in

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60. Up or down: Modeling the fates and rates of phytoplankton carbon in the North Atlantic Ocean C hristoph Stegert Laurent Memery Thomas Gorgues Julie Deshayes. 40. 20. 0. MOTIVATION: Where does the carbon go?. Background. MOTIVATION: Where does the carbon go?. Background. - PowerPoint PPT Presentation

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Page 1: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Institut universitaire europeen de la mer (iuem)Laboratoire des sciences l’environnement marin (LEMAR)

60

40

20

0

Up or down:Modeling the fates and rates of phytoplankton carbon in

the North Atlantic Ocean

Christoph Stegert

Laurent MemeryThomas GorguesJulie Deshayes

Page 2: Up or down: Modeling the fates and rates  of phytoplankton carbon in

MOTIVATION: Where does the carbon go?

Background

Page 3: Up or down: Modeling the fates and rates  of phytoplankton carbon in

MOTIVATION: Where does the carbon go?

Background

Page 4: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Background

PDIC

MOTIVATION: Where does the carbon go?

Page 5: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Background

PDIC

fisheries

MOTIVATION: Where does the carbon go?

Z

FishFood web dynamics

Page 6: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Background

PDIC

Z

Fish

D

Deep Sea

fisheries

Carbon export

MOTIVATION: Where does the carbon go?

Food web dynamics

CO2 storage

Page 7: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Background

PDIC

D

Deep Sea

fisheries

Carbon export

RemineralisationSedimentation

MOTIVATION: Where does the carbon go?

CO2 storage

Z

FishFood web dynamics

Page 8: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Background

PDIC

D

Deep Sea

fisheries

Carbon export

RemineralisationSedimentation

UP or

DOWN

What is/ What

determines this ratio

MOTIVATION: Where does the carbon go?

CO2 storage

Z

FishFood web dynamics

Page 9: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Background

PDIC

D

Deep SeaCO2 storage

fisheries

Carbon export

RemineralisationSedimentation

UP or

DOWN

Possible consequences

of climate change on the

ratio

What is/ What

determines this ratio

MOTIVATION: Where does the carbon go?

Z

FishFood web dynamics

Page 10: Up or down: Modeling the fates and rates  of phytoplankton carbon in

How much of Primary Production is transported to the deep ocean (carbon export)?

What are regional differences in the carbon transport and how do they change during the 1990-2010 period?

What is the structure of the links of primary production and carbon export in the North Atlantic Ocean?

MOTIVATION: Where does the carbon go?

Specific questions I want to answer in this talk:

Page 11: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Besides carbon the nutrient (N,P,Si,Fe) and Oxygen cycles are simulated

Model concept: Carbon cycle

DIC PdiatPnano

Zmicro Zmeso

DOC POC GOC

1

2 3

46 579

10

8

11 11

Model configuration:Physics:NEMO3.4Biogeochem ics:PISCESArea:North Atlantic

20S to 80NResolution: 1/4°Simulation:1978-2010

Major fluxes:1 Primary Production New Production [100m integrated annual avg.]

2+3 Zoo Grazing4+5 Mortality6-8 Plankton losses9 Nitrification10 Remineralisation11 Carbon Export[at 1000m, annual average]

11

Page 12: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Validation of model variables

Validation: Surface Nitrate annual cycle (log 10 )

WOA09 MODEL

Page 13: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Validation of model variables

Validation: Ratio of Diatoms and Nanoplankton

PHYSAT MODEL

Page 14: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Validation of model variables

Validation: Carbon export at 100m (gC/m2/yr)

Schlitzer MODEL

Page 15: Up or down: Modeling the fates and rates  of phytoplankton carbon in

SPG and STG have contrasting environment

UP or DOWN: regional variability

STGsubtropical

gyre

SPGsubpolar gyre

NECSEurop. Shelf

GSTGulf Stream

CUWCanary Upwelling

Sea surface temperature

Page 16: Up or down: Modeling the fates and rates  of phytoplankton carbon in

F-ratio shows higher pelagic production in the Northern NA and SPG

UP OR DOWN: NewP : TPP (f-ratio)

Page 17: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Highest f-ratio in SPG, very strong correlation in Canarian Upwelling and STG

UP or DOWN: regional variability

STG

SPGNECS

GST CUW

avg = 0.69 p = 0.61 avg = 0.41

p = 0.89

avg = 0.34 p = 0.99

avg = 0.38 p = 0.93

avg = 0.33 p = 0.58

New P (y)--------------

TPP (x)

[MolC/m2/y]

Page 18: Up or down: Modeling the fates and rates  of phytoplankton carbon in

High ratio in Labrador Sea

UP OR DOWN ep-ratio: Export (1000m): TPP

Page 19: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Export highest in SPG, and strong correlation in CUW and STG

UP or DOWN: regional variability: Carbon export at 1000m

STG

SPGNECS

GST CUW

Export (y)--------------

TPP (x)

[MolC/m2/y]

avg = 0.15 p = 0.02 avg = 0.09

p = 0.55

avg = 0.04 p = 0.98

avg = 0.05 p = 0.95

avg = 0.06 p = 0.71

Page 20: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Increased TPP is followed by increased grazing and export except in SPG

UP or DOWN: interannual variabilityTPP PHY ZOO GRAZING EXPORTGST

SPG

STG

NECS

CIW

1990-2010 1990-2010 1990-2010 1990-2010

Page 21: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Provinces: Clustering

Longhurst provinces based on physical/ biogeochmical variables

Page 22: Up or down: Modeling the fates and rates  of phytoplankton carbon in

CLUSTER: Export (1000m) and TPP

Differences in the structure compared to upper layer dynamics

Page 23: Up or down: Modeling the fates and rates  of phytoplankton carbon in

CLUSTER: Grazing and TPP

Regional differences in the structure of coupling to export

Page 24: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Background

PDIC

Z

Fish

D

Deep SeaCO2 storage

fisheries

Carbon export

Food web

RemineralisationSedimentation

UP or

DOWN

OUTLOOK the role of zooplankton

Page 25: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Background

PDIC

Z

D

Deep SeaCO2 storage

fisheries

Carbon export

RemineralisationSedimentation

UP and

DOWN

OUTLOOK the role of zooplankton

Verticalmigration

FishFood web

Page 26: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Conclusions

THANK YOU for your interest.

This work was done within the FP7 program

Basin-Scale Analysis , Synthesis and Integration

We would like to thank- TANGGO consortium:

travel support

Different biological processes, e.g. zooplankton behavior, can influence these ratios.

How much of Primary Production is transported to the deep ocean (carbon export)?Export at 1000m is ca. 5-15% of PP in upper 100m, while New Production is highest in the northern North Atlantic.

What are regional differences in the carbon transport and how do they change during the 1990-2010 period?Dynamics in SPG are significantly different to STG and other regions.Coupling of PP and EXP in the STG and for PP and Grazing in most regions. Strong decoupling in SPG.

What is the structure of the links of primary production and carbon export in the North Atlantic Ocean?

Page 27: Up or down: Modeling the fates and rates  of phytoplankton carbon in

Grazing lowest in SPG, all other regions show strong correlation

UP or DOWN: regional variability

STG

SPGNECS

GST CUW

Grazing--------------

TPP

[gC/m2/y]

avg = 1.01 p = 0.59 avg = 1.17

p = 0.98

avg = 1.38 p = 0.99

avg = 1.25 p = 0.99

avg = 1.30 p = 0.98