Comments by Mary Jane Perry University of Maine 6 November 2012 EURO-BASIN WP2 The Biological Carbon Pump Disclaimer – my comments are based on a very.

Slides:



Advertisements
Similar presentations
Eddy-driven changes in phytoplankton community composition and biogeochemical cycling in the Sargasso Sea NASA A regional eddy-resolving carbon cycle model.
Advertisements

Zuchuan Li, Nicolas Cassar Division of Earth and Ocean Sciences Nicholas School of the Environment Duke University Estimation of Net Community Production.
Particle transport and organic carbon fluxes off NW Africa: impact of dust and carbonate G. Fischer (1), M. Iversen (3, 4), G. Karakas (3), N. Nowald (1),
Particulate organic matter and ballast fluxes measured using Time-Series and Settling Velocity sediment traps in the northwestern Mediterranean Sea lead.
Phytoplankton absorption from ac-9 measurements Julia Uitz Ocean Optics 2004.
Tim Smyth and Jamie Shutler Assessment of analysis and forecast skill Assessment using satellite data.
UNDERSTANDING OCEAN CHEMISTRY AND BIOLOGY USING REAL-TIME DATA FROM PROFILING FLOATS Kenneth Johnson, George Matsumoto Monterey Bay Aquarium Research Institute.
THE STUDY OF BIOGEOCHEMICAL CYCLES AND RELATED SEDIMENT FLUXES: THE IOC-BSRC PROJECT PROPOSAL Could such a project idea be developed into an EC FP Integrated.
Assimilating SST and Ocean Colour into ocean forecasting models Rosa Barciela, NCOF, Met Office
Job opportunity Falkowski lab seeks aquarist/ undergraduate assistant for the coral lab! If interested, contact Frank Natale:
It has been said that “weather is an initial value problem, whereas climate is a boundary-value problem.” What is meant by this statement? Is this statement.
Modelling the export of biogenic particulates from upper ocean Philip Boyd.
The Ocean as a Microbial Habitat Matthew Church Marine Microplankton Ecology OCN 626/Fall 2008.
Temporal scales of coastal variability and land-ocean processes J. Salisbury, J. Campbell, D. Vandemark, A. Mahadevan, B. Jonsson, H. Xue, C. Hunt.
VERTIGO PHYTOPLANKTON PROCESSES Philip Boyd and Mark Gall Apologies for my absence.
OSMOSIS Primary Production from Seagliders April-September 2013 Victoria Hemsley, Stuart Painter, Adrian Martin, Tim Smyth, Eleanor Frajka-Williams.
Organic Matter Metabolism in a Coastal Ocean Ecosystem Patricia Matrai Mike Sieracki Nicole Poulton Carlton Rauschenberg Bigelow Laboratory for Ocean Sciences.
Paper Number OS 26A-06 At both sites, the majority of the vertical flux attenuation of components such as carbon occurred with the mesopelagic “Twilight.
Open Oceans: Pelagic Ecosystems II
Rates of Summertime Biological Productivity in the Beaufort Gyre: A Comparison between the Record-Low Ice Conditions of August 2012 and Typical Conditions.
Sea Ice Deformation Studies and Model Development
Prince William Sound Resurrection Bay Knight Island Passage Middleton Island The physical model is run in three dimensions and the data are used to drive.
National Environmental Research Institute Denmark Temperature sensitivity of organic matter degradation Jørgen Bendtsen National Environmental Research.
Review –Seasonal cycle –spatial variation Food web and microbial loop Eutrophic vs. Oligotrophic food webs Biological pump.
Impact of vertical flux simulation on surface pCO 2 Joachim Segschneider 1, Iris Kriest 2, Ernst Maier-Reimer 1, Marion Gehlen 3, Birgit Schneider 3 1.
PJW, NASA SSAI, 4 Oct 2011, CCE JSW New uses for data products & coordinated networks of observations: OCEANS Jeremy Werdell 4 Oct 2011 NASA Joint Science.
Backscattering Lab Julia Uitz Pauline Stephen Wayne Slade Eric Rehm.
1 University of Maine, COSEE Ocean Systems, University of Washington, Woods Hole Oceanographic Institution, Bigelow Laboratory for Ocean Sciences Ivona.
45 th Liège Colloquium May 13 – 17, 2013 Fabian Große 1 *, Johannes Pätsch 2 and Jan O. Backhaus 2 1 Research Group Scientific Computing, Department of.
Particulate Organic Carbon (POC) measured from satellites Wilford Gardner Mary Jo Richardson Young Baek Son Alexey Mishonov Texas A&M University Fulbright.
Definition and assessment of a regional Mediterranean Sea ocean colour algorithm for surface chlorophyll Gianluca Volpe National Oceanography Centre, Southampton.
Sediment trap data. Constraining the seasonal particle flux in the eastern North Atlantic with Thorium isotopes M. Roy-Barman (1), R. El Hayek (1), I.
Comparison of Phytoplankton Dynamics in the North Atlantic and the North Pacific.
Impact of Watershed Characteristics on Surface Water Transport of Terrestrial Matter into Coastal Waters and the Resulting Optical Variability:An example.
Tracking the fate of carbon in the ocean using thorium-234 Ken Buesseler Dept. of Marine Chemistry and Geochemistry Woods Hole Oceanographic Institution.
13-17 May th Liege Colloquium 1 Ocean Productivity: A Personal Perspective John Marra Brooklyn College, City University of New York.
Rethinking What Causes Phytoplankton Blooms Michael Behrenfeld Department of Botany & Plant Pathology Oregon State University.
1 Autonomous measurements of the subpolar North Atlantic spring bloom: early results from the NAB08 experiment Core PIs, students and responsibilities.
6 June 2011ACE workshop 1 Ocean Productivity: Concepts and Measurements John Marra Brooklyn College, CUNY.
*Minagawa M, Usui T, Miura Y, Nagao S, Irino T, Kudo I, and Suzuki K, Graduate School of Environmental Science, Hokkaido University, Sapporo ,
MEDFLUX: Use of Amino Acid Degradation Indices to Examine Exchange Between Sinking and Suspended Particles Cindy Lee, Zhanfei Liu, Stuart Wakeham & Rob.
Marine Ecosystem Simulations in the Community Climate System Model
Core theme 3: Quantification of the carbon sources and sinks at the European regional scale WP12: Regional assessment for the North Sea WP13: Regional.
Reducing uncertainty in satellite ocean color products with measurements made from gliders and floats M.J. Perry, UMaine Herve Claustre, LOV Ken Johnson,
Lecture 22: Deployment strategies for different optical sampling platforms: mobile platforms (AKA “ALPS) What are mobile platforms? Why use them? Some.
Doney, 2006 Nature 444: Behrenfeld et al., 2006 Nature 444: The changing ocean – Labrador Sea Ecosystem perspective.
Correspondence Between Net Oxygen Production and Measurements of Inherent Optical Properties Cedric Hall Elizabeth City State University Mentor: Dr. Joseph.
WP 11 - Biogeochemical Impacts - Kick-off meeting Nice 10 – 13/06/2008.
OEAS 604: Final Exam Tuesday, 8 December 8:30 – 11:30 pm Room 3200, Research Innovation Building I Exam is cumulative Questions similar to quizzes with.
EXPORTS EXport Processes in the Ocean from RemoTe Sensing EXPORTS Writing Team: Mike Behrenfeld (OSU), Claudia Benitez-Nelson (USoCar), Emmanuel Boss (UMaine),
Pore water profiles of reactants or products can be a sensitive way to estimate OM decomposition rates. Oxic respiration (assuming Redfield ratio): (CH.
Productivity and Respiration Steve Lohrenz (Leader), David Munro (Rappoteur), Galen McKinley, Francis Wilkerson, Francisco Chavez, Jeremy Mathis, Dick.
Dissolution of calcite in sediments -- metabolic dissolution.
Microzooplankton regulation of particulate organic matter elemental composition David Talmy, Adam Martiny, Anna Hickman, Mick Follows Ocean Sciences, New.
Food web and microbial loop Eutrophic vs. Oligotrophic food webs
Globally, O2 accounts for ~90% of OM decomposition at depths > 1000 m. Pore water profiles suggest: Pelagic sediments: O2 95 – 100 % Continental margins.
Food web and microbial loop Eutrophic vs. Oligotrophic food webs
Competition for nutrients Major phytoplankton groups Light
David Talmy, Adam Martiny, Anna Hickman, Mick Follows
Critical and Compensation Depths (refer to handouts from 9/11/17)
Theme 1: Biological uptake and trace element bioavailability
Dissolved Organic Matter distribution, reactivity, and composition
Theme 3: Export and Regeneration
Developing NPP algorithms for the Arctic
Reenvisioning the Ocean: The View from Space A RESPONSE
Wayne Slade Ocean Optics Summer 2004
Ocean Chemistry and Circulation
Food web and microbial loop Eutrophic vs. Oligotrophic food webs
A biodiversity-inspired approach to marine ecosystem modelling
On Friday, Sep. 20 there is NO class/recitation.
Presentation transcript:

Comments by Mary Jane Perry University of Maine 6 November 2012 EURO-BASIN WP2 The Biological Carbon Pump Disclaimer – my comments are based on a very limited knowledge of the full suite of EURO BASIN extensive activities. Some slides are based on an earlier version of Adrian Martin’s presentation. Apologies in advance for any incorrect statements.

WP2 Aim – important and very challenging Produce new observations of particle formation, aggregation, sinking, and decomposition for a range of marine ecosystems in the North Atlantic, through lab, mesocosm and field studies. Combine results with literature data to generate new particle flux algorithms. BASIN scale – proceeds dynamic range of community structure and of physical/chemical forcing Correct parameterize key to realistic models.

WP2 Key Questions How much is sinking? (is that the reason for discrepancy observed by Steinberg?) What is sinking? What controls the speed of sinking? What controls the rate of attenuation?

AS WAY OF BACKGROUND – I will reference the Autonomous North Atlantic Bloom experiment – Eric D’Asaro, Craig Lee, and myself. Evolution of the Bloom from early April through late June Process cruise in May (3 weeks). Perry et al., OCB News, Fall 2012

We successfully captured the start of the bloom with one float and 4 gliders. Similar to satellite. PATCHY bloom. Mahadevan et al., 2012, Science

2 months of Lagrangian float data in upper 230 m. NCP from changes in NO 3 and O 2 ; export flux from difference between NCP and POC. Alkire et al., 2012, DRS

How much is sinking? What is sinking? What controls the speed of sinking? What controls the rate of attenuation? WP2 Key Questions

Marine snow catcher Allows fractionation of export. 33 deployments 7 profiles of 4 depths between 50 – 600 m ~ 300 particles analysed Mid-term Synthesis Workshop, Lisbon 6-8 th Nov Very nice approach How much sinks out of upper100m, sinks slowly, and is respired? (Alkire et al., 2012, DSR) Would be good to couple with sediment traps; also with optical spikes (more later) for projecting results to broader spatial scale.

How much is sinking? What is sinking? What controls the speed of sinking? What controls the rate of attenuation? WP2 Key Questions

Mid-term Synthesis Workshop, Lisbon 6-8 th Nov Small aggregates containing large, heavy foram tests (light green)collide with slower sinking aggregates (dark green), fragmenting them and preventing large aggregates from growing Aggregates incorporating coccoliths (blue) sink quickly for their size, relative to aggregates formed in the absence of the coccoliths (red). aggs w/foram tests aggs w/coccos aggs w/o foram but from foram exp diatom aggs not exposed to calcite ballast De La Rocha, in prep Very nice result Role of TEP  physiology is important

Question on formation of aggregates, in lab and mesoscom experiments – how much does concentration affect aggregate size, magnitude of flux and aggregate sinking rate? These are high particle concentrations; can results be scaled to field concentrations that are only ~ 10% ? Treatment Integrated chl (mg) Day 8 Day 17 N+P+Si6 ± 317 ± 14 N+P+Si+copepods20 ± 748 ± 16 N+P2 ± ± 5 N+P+copepods4 ± 220 ± 11

Marine snow catcher sinking speed Mid-term Synthesis Workshop, Lisbon 6-8 th Nov Velocity ~ a*ESD b + c*Transparency Transparency:  > 60%   40-60%   20-40%   < 20% Giering, in prep Beautiful data, but bit of a puzzle – speeds are much higher than mesocosm, but few coccoliths. Denser big particles do sink faster.

Iceland Basin 2008 North Atlantic – sudden appearance of ‘spikes’ in all optics; spikes are caused by sinking aggregates. (from Briggs et al. 2011, DSR)

Spikes appeared suddenly, and were observed by all four gliders, as a ‘sinking front’. Hence, could compute sinking rates ~ 75 m/d. (similar to rates from the Snow Catcher). (from Briggs et al. 2011, DSR) Make sure gliders measure optics deeper than 300 m

How much is sinking? What is sinking? What controls the speed of sinking? What controls the rate of attenuation? WP2 Key Questions Very interesting relationship by UNI on C/N ratio of suspended material

Marine snow catcher Slow sinking flux vs previous estimates Mid-term Synthesis Workshop, Lisbon 6-8 th Nov Giering, in prep Other estimates are from Thorium and C: Th ratios; is that a reason for discrepancy? How do these compare to other NA estimates? Or, are measurements from early bloom? Does flux scale w/NCP?

Iceland Basin 2008 North Atlantic bloom – comparison of flux from different approaches (from Briggs et al. 2011, DSR)

Phytoplankton and zooplankton community composition makes a difference in flux Station 3 – Norwegian Sea Small flagellates but few diatoms Lots of microzooplankton Station 1 – Iceland Basin Lots of large diatoms Few microzooplankton Calanus

Alkire et al., 2012, DRS Sieracki, pers. comm. Iceland Basin 2008 North Atlantic bloom community composition evolved, and with it the rate of carbon export. Export additionally scaled with magnitude of NCP.

Patchy ocean – use information about the community structure to project export rates to a larger scales.

How much is sinking? What is sinking? What controls the speed of sinking? What controls the rate of attenuation? *** WP2 Key Questions

Marine snow catcher Decomposition of slow-sinking flux Mid-term Synthesis Workshop, Lisbon 6-8 th Nov Giering, in prep Chlorophyll is a proxy for labile POC. Is this microbial?

Estimated sinking rate ~ 75 m/day.Exponent b =1.03 +/ Similar pattern from Iceland Basin 2008 North Atlantic bloom, based on optical spikes ~~ in situ proxy for sinking aggregates (from Briggs et al. 2011, DSR)

Nature of material that sinks matters for attenuation. Chaetoceros resting spores comprised 10-60% of POC in PELAGRA sediment traps. Spores are more resistant to microbial degradation. (and why spores in the deep sea?) C Rynearson et al. – manuscript; graphics- Poulton & Sieracki

EURO BASIN WP2 is focussing on export control processes that vary in different regions/ communities. This work represents a major step forward in the understanding of mechanisms in the BCP. Knowing space and time scales when a particular mechanism operates is crucial for accurately and adequately representing the BCP in models, and for predictions under various climate change scenarios.