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Variability in Marine Ecosystem Composition and Export Production: Insights from DGOM Models

This study explores the variability in marine ecosystems by analyzing phytoplankton traits and export production using Dynamic Green Ocean Model (DGOM) simulations. The research assesses the interannual fluctuations of chlorophyll a (Chla) concentrations and the relative contributions from various phytoplankton functional types (PFTs) such as diatoms and coccolithophorids in different oceanic regions. Key findings include the impact of ecosystem complexity on carbon flux variability, aligned with observed patterns, as well as the significance of spatial distribution in driving chlorophyll variability.

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Variability in Marine Ecosystem Composition and Export Production: Insights from DGOM Models

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  1. Ecosystem composition and export production variabilityCorinne Le Quéré, Erik Buitenhuis, Christine KlaasMax-Planck-Institute for Biogeochemistry, Germany and Olivier AumontLaboratoire de Dynamique du Climat et des Océans, France

  2. climate feedback OCEAN CO2 sink (PgC/y) LAND 1850 today 2100 Prentice et al., 2001

  3. 4 NPZD PISCES Dynamic Green Ocean Model (DGOM)

  4. SeaWiFS Chla (mgChl/m3)

  5. SeaWiFS NPZD PISCES DGOM Chla (mgChl/m3)

  6. Chla (mgChl/m3) Interannual standard deviation of Chla (%) SeaWiFS 50%

  7. Chla (mgChl/m3) Interannual standard deviation of Chla (%) SeaWiFS NPZD PISCES DGOM 50%

  8. Phytoplankton traits

  9. diatoms 70N cocco 0 nano 70S relative contribution Abundance of PFT (%) DGOM cocco nano diatoms

  10. Interannual standard deviation of chla per PFT (%) cocco nano diatoms

  11. Interannual standard deviation of chla per PFT (%) cocco nanno diatoms 5 PFTs 4 PFTs

  12. 1997 1998 1999 2000 2001 2002 2003 0.02 diatoms 0.1 coccolithophorids 1.5 nano phytoplankton Plankton-specific chla in the North Atlantic (40N-45N, mgChla/m3)

  13. diatoms 70N cocco 0 nano 70S relative contribution Abundance of diatoms (%) Uitz, Claustre et al., from an HPLC pigment and SeaWIFS Chla DGOM

  14. diatoms 70N cocco 0 nano 70S relative contribution Coccolithophorid bloom frequency Analysis from C. Brown DGOM

  15. Export Production (PgC/y) MEAN(Standard deviation)

  16. sensitivity of plankton biomass to nano nano grazing growth diatoms diatoms Meso-zoo Meso-zoo Cocco. Cocco. Micro-zoo Micro-zoo

  17. Conclusions • More complexity in marine ecosystems gives more variability in fluxes • More in line with observations • Mean spatial distribution in PFTs is critical to reproduce chl variability

  18. Phytoplankton traits

  19. Phytoplankton traits

  20. Zooplankton traits

  21. Zooplankton traits

  22. Impact of El Nino in % on Chla (full line from SeaWiFS) and export (dots from traps) POC CaCO3 Si sediment trap data base of C. Klaas

  23. Abundance of PFT (%) DGOM PISCES cocco nanno diatoms

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