1. Ecosystem Breakout Summary
AZFP
EK60 /
EK80

2. Breakout Discussion Weekly block schedule
Increase spatial coverage of subset of key parameters
Connect discrete measurements with remote platform visits
Differentiation in frequency of variable measurements versus rate (activity) measurements

3. Breakout Small Group Work
Water sampling and tasks (weekly rates)
Snow and sea ice sampling and tasks
Zooplankton tasks
Sediment traps and in-situ sampling instrumentation (POM)
Rate measurements (less frequent, greater replication)

4. Linking ecosystem observations across the atmo-sea ice-ocean-BGC
Provided by: J. Stefels (SCOR BEPSII)

5. Instrumentation Main CTD-rosette package (AWI, Ocean WG)
On-ice CTD-rosette package + (NPI, Ocean WG)
PIT sediment trap arrays (UiT, Marum)
HydroBios sediment trap arrays (AWI)
Bio-optical platform +traps (Marum/AWI)
Long-term in situ filtering platforms (SOA)
Moored sediment traps (SOA)
Underwater Vision Profilers (AWI)
Nitrate Sensors (many institutes)

6. Instrumentation MIMS (URI, AWI, SOA) Multi Net, LOKI, ROVnet (AWI)
Hydro-acoustics: AFZPs (UiT); EK60, EK80 (AWI)
Radioisotope lab (AWI)
Wetlab equipment for 5 laboratory containers (UiT, AWI, SIO, SOA, GEOMAR)
Dry lab equipment for 4 laboratory spaces (AWI, UiT, UiB, NPI)
Connecting sensing platforms with discrete measurements – extrapolation of CO obs

7. Main challenges and benefits
Scaling CO measurements to DN – thru the sensing platforms [ROV, gliders, buoys, etc]
Greater coordination with other teams about specifics to increase impact
Increase exchanges with modeling colleagues
Identifying what, when, and where observation frequency should be increased
Improve distribution of information

8. Biodiversity Activity Fluxes
Community biodiversity influences how energy and matter flow through the ecosystem (Who? How much? When?)
Rate processes are influenced by availability of combination of abiotic and biotic factors; essential nutrients and food sources, physiological capacities
Concentrations, standing stocks, and measurements of ecosystem compartments and exchange processes across compartments = fluxes
Biodiversity and ecological functioning of sea ice and pelagic communities
Sample episodic and seasonal biological and ecological phenomena
Inform coupled sea ice-ocean-bgc-ecosystem models

9. Parameters Community composition, abundance, biomass
Enumeration, DNA-based surveys, species composition
Primary Productivity
14C-bicarbonate assays; in situ and lab-controlled conditions
Bacterial Production
3H-leucine incorportaion; lab-controlled conditions
Nutrient concentrations and fluxes
Ammonium, nitrite, nitrate, phosphate, silicate, DON, DOP
Carbonate chemistry
DIC/TA, pH, pCO2, ikaite
Organic matter concentrations, characterization, fluxes; isotopic composition
Suspended and sinking POM, DOM, DOC, POC/N/P/Si; isotopic composition
Bottom-up and top-down controls on fluxes of C, N, P, Si, OM

10. Parameters TOPIC PARAMETER FREQUENCY SPACE
Biodiversity, Abundance, Biomass
Fluorometric Chl a
(Fluorescence sensors)
Cell enumeration: FCM
Species ID: Light microscopy
HPLC pigment biomarkers
Zoo/UIF species abundance
Zoo/UIF biomass
Hydro-acoustics
1x week
2x week IOPs
2x month
Daily CO DN
CO and DN

11. Parameters TOPIC PARAMETER FREQUENCY SPACE
Activity and rate measurements
Primary Productivity (14C-PP)
Bacterial Production (3H-leucine)
Gene expression assays
Meta – omics (DNA/RNA)
Grazing rates (top-down control)
Respiration rates
1x week
2x week IOPs
2x month CO DN

12. Parameters TOPIC PARAMETER FREQUENCY SPACE Chemistry
Nitrate, nitrite, ammonium, phosphate, silicate, DON, DOP
(Nitrate sensors) 
DOC, CDOM
 DIC/TA, pH, pCO2
Ikaite
Suspended POC/N/P/Si
Sinking POC/N/P/Si
Trace elements
1x week
2x week IOPs
2x month
Daily
1x week (24 hr)
1x month (2-week) CO DN
CO and DN

13. Draft Weekly Block Schedule

14. ECOSMO-II COSMO itself is a ecosystem model
Coupled to any 1D or 3D model, HYCOM (phys, sea ice, but no bio 3D), GOTM (phys. 1D)

15. ECOSMO-II Nitrogen assimilation rates OM remineralization rates
Grazing rates
C:N:P:Si partitioning
COSMO itself is a ecosystem model
Coupled to any 1D or 3D model, HYCOM (phys, sea ice, but no bio 3D), GOTM (phys. 1D)

16. Linking ecosystem observations across the atmo-sea ice-ocean-BGC
Provided by: J. Stefels (SCOR BEPSII)