Critical turbulence revisited: The impact of submesoscale vertical transports on plankton patchiness Anne Willem Omta Bas Kooijman Theoretical Biology,

Slides:



Advertisements
Similar presentations
Session: mesoscale 16 May th Liège Colloquium Belgium
Advertisements

MEsoSCale dynamical Analysis through combined model, satellite and in situ data PI: Bruno Buongiorno Nardelli 1 Co-PI: Ananda Pascual 2 & Marie-Hélène.
Veldhoven, Large-eddy simulation of stratocumulus – cloud albedo and cloud inhomogeneity Stephan de Roode (1,2) & Alexander Los (2)
The impact of (sub-)mesoscale eddies on the soft-tissue carbon pump Anne Willem Omta Bas Kooijman Theoretical Life Sciences, Vrije Universiteit (Amsterdam)
1 Carbon Cycle 9 Carbon cycle is critically important to climate because it regulates the amount of CO 2 and CH 4 in the atmosphere. Carbon, like water,
Concept test We, human beings, along with all animals are causing a net increase of atmospheric CO 2 because our breath contains CO 2 when we exhale. (1)
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Marine Ecosystems and Food Webs. Carbon Cycle Marine Biota Export Production.
Accounting for biodiversity in marine ecosystem models Jorn Bruggeman S.A.L.M. Kooijman Dept. of Theoretical Biology Vrije Universiteit Amsterdam.
Biological pump Low latitude versus high latitudes.
Competition between Thalassiosira weissflogii (Diatoms) and Emiliania huxleyi (Coccolithophores) under different light regimes Emily Rogalsky, Oscar Schofield,
School of Earth and Environment INSTITUTE FOR CLIMATE AND ATMOSPHERIC SCIENCE Dust – Climate Interactions Kerstin Schepanski k.
m/s Water mass subduction & eddy effects on phytoplankton distributions in the Santa Barbara Channel, California Libe Washburn 1, Mark Brzezinski.
General questions: are there barriers for cross-breeding in the oceans? Implications for evolutionary study (e.g., species stability), ecology (e.g., local.
Decadal changes in ocean chlorophyll
PLANKTON PATCHINESS. Physical processes implicated in patchiness Diffusion-related processes Patches Filaments Turing Mechanism Plankton waves Lateral.
Succession in a water column An adapting ecosystem maneuvering between autotrophy and heterotrophy Jorn Bruggeman Theoretical biology Vrije Universiteit.
The effect of food composition on feeding, growth and reproduction of bivalves Sofia SARAIVA 1,3, Jaap VAN DER MEER 1,2, S.A.L.M. KOOIJMAN 2, T. SOUSA.
A biodiversity-inspired approach to marine ecosystem modelling Jorn Bruggeman Bas Kooijman Theoretical biology Vrije Universiteit Amsterdam.
Quantifying the organic carbon pump Jorn Bruggeman Theoretical Biology Vrije Universiteit, Amsterdam PhD March 2004 – 2009.
From molecules to populations energy budgets in the causality of toxic effects Tjalling Jager Dept. Theoretical Biology.
STIRRING VEGETABLE SOUP Adrian Martin Warwick Turbulence Symposium: Workshop March 2006 "Environmental Turbulence from Clouds through the Ocean"
Integration schemes for biochemical systems unconditional positivity and mass conservation Jorn Bruggeman Hans Burchard, Bob Kooi, Ben Sommeijer Theoretical.
Trait-based models for functional groups Jorn Bruggeman Theoretische biologie Vrije Universiteit Amsterdam.
A biodiversity-inspired approach to marine ecosystem modelling Jorn Bruggeman Dept. of Theoretical Biology Vrije Universiteit Amsterdam.
The Ocean as a Microbial Habitat Matthew Church Marine Microplankton Ecology OCN 626/Fall 2008.
OC211(OA211) Phytoplankton & Primary Production Dr Purdie SOC (566/18) LECTURE 6 Week 6 (i) Photosynthesis & Light (ii) Critical.
The Anthropogenic Ocean Carbon Sink Alan Cohn March 29, 2006
Phytoplankton Dynamics Primary Productivity (g C/m 2 /yr) Gross (total) production = total C fixed Net production = C remaining after respiration Standing.
Climate Change Projections of the Tasman Sea from an Ocean Eddy- resolving Model – the importance of eddies Richard Matear, Matt Chamberlain, Chaojiao.
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Open Oceans: Pelagic Ecosystems II
Sea Ice Deformation Studies and Model Development
INTO THE BIG GREENY-BROWN YONDER. INTO THE BIG, GREENY-BROWN YONDER Challenges Modelling individual to population parameterisation of the mesoscale Observations.
Institut Mediterrani d’Estudis Avançats Esporles · Mallorca · SPAIN A study of potential effects of climatic change on the ecosystems of the Mediterranean.
Pedro Alcântara, Alexandra Cravo & José Jacob CIMA - FCMA, University of Algarve, Campus de Gambelas, Faro, Portugal Variability of nutrients.
Biogeochemical Controls and Feedbacks on the Ocean Primary Production.
Equatorial Pacific primary productivity: Spatial and temporal variability and links to carbon cycling Pete Strutton College of Oceanic and Atmospheric.
Review –Seasonal cycle –spatial variation Food web and microbial loop Eutrophic vs. Oligotrophic food webs Biological pump.
Norm Nelson, Dave Siegel Institute for Computational Earth System Science, UCSB Bermuda Bio-Optics Project Decade-Plus Perspective on Ocean Color.
A NEW APROACH TO STIRRING Lehahn, d'Ovidio, et al., JGR, 2007 Méthod: compute Lyapono exonent d'Ovidio et al., GRL, 2004 sub- mesoéchelle ► localisation.
Assessing the Ecological Impact of the Antarctic Ozone Hole Using Multi-sensor Satellite Data Dan Lubin, Scripps Institution of Oceanography Kevin Arrigo,
US interests, submitted proposals & potential submissions Meng Zhou, Peter Wiebe, Ken Buesseler, Jon Hare.
Biodiversity hotspots of primary producers at the global scale Alice Soccodato In collaboration with: d’Ovidio F, De Monte S, Levy M, Follows M, Alvain.
Third annual CarboOcean meeting, 4.-7.December 2007, Bremen, Segschneider et al. Uncertainties of model simulations of anthropogenic carbon uptake J. Segschneider,
Copyright © 2008 Pearson Education, Inc., publishing as Pearson Benjamin Cummings Ecosystems Ecosystem = all organisms and nonliving entities that occur.
1) What is the variability in eddy currents and the resulting impact on global climate and weather? Resolving meso-scale and sub- meso-scale ocean dynamics.
Science Questions Societal Relevance Observational Requirements Observational Strategies Satellite Missions Scientific Basis for NASA OBB Mission Planning.
Near real time forecasting of biogeochemistry in global GCMs Rosa Barciela, NCOF, Met Office
Trends in Tropical Water Vapor ( ): Satellite and GCM Comparison Satellite Observed ---- Model Simulated __ Held and Soden 2006: Robust Responses.
Puget Sound Oceanography 2009 Course overview. Geology of Puget Sound Started from Pangaea Plate movement, subduction zones, volcanoes and valleys Glaciation.
Exploring Biological Oceanography Beth Trowbridge & Sheryl Sotelo.
Modelling 2: Introduction to modelling assignment. A basic physical-biological model. Model equations. Model operation. The assignment.
Marine Ecosystem Simulations in the Community Climate System Model
Doney, 2006 Nature 444: Behrenfeld et al., 2006 Nature 444: The changing ocean – Labrador Sea Ecosystem perspective.
Jim Greenwood, Richard Matear, Chaojiao Sun, Liejun Zhong, James McLaughlin May 2013 CSIRO MARINE AND ATMOSPHERIC RESEARCH / WEALTH FROM OCEANS Impact.
Primary production and the carbonate system in the Mediterranean Sea
Biogeochemical Controls and Feedbacks on the Ocean Primary Production
ECOSYSTEMS. Ecosystems Ecosystem = all organisms and nonliving entities that occur and interact in a particular area at the same time – Includes abiotic.
Primary production & DOM OUTLINE: What makes the PP levels too low? 1- run Boundary conditions not seen (nudging time) - Phytoplankton parameter:
From satellite-based primary production to export production Toby K. Westberry 1 Mike J. Behrenfeld 1 David A. Siegel 2 1 Department of Botany & Plant.
Horizontal density structure and restratification
Wind-driven halocline variability in the western Arctic Ocean
David Talmy, Adam Martiny, Anna Hickman, Mick Follows
Puget Sound Oceanography
Hans Burchard, Elisabeth Schulz and Henk Schuttelaars
Department of Oceanography Sung-Chan Kang
Relationship Between NO3 and Salinity:
A biodiversity-inspired approach to marine ecosystem modelling
Presentation transcript:

Critical turbulence revisited: The impact of submesoscale vertical transports on plankton patchiness Anne Willem Omta Bas Kooijman Theoretical Biology, Vrije Universiteit (Amsterdam) Henk Dijkstra IMAU, Universiteit Utrecht Grant No (Computational Life Sciences)

Project overview Organic carbon pump in meso-scale ocean flows Aim: determine effect of (sub)meso-scale flows on phytoplankton Method: computer simulations and theory development Supervisors: Kooijman, Dijkstra, Sommeijer PhD’s: Bruggeman & Omta Postdoc: Van Raalte Period: March 2004 – March 2009

My PhD Feedback mechanisms between climate and Redfield ratio (GRL 33, L14613, 2006) Impact of submesoscale eddies on organic carbon pump (JGR 112, C11006, 2007) Critical turbulence revisited (JMR 66, , 2008) How to interpret satellite chlorophyll observations (submitted to DSR)

Feedback mechanisms between climate and Redfield ratio With plankton physiological model, I investigated impact of mixed-layer depth and temperature on C:N ratio Increase of C:N ratio with decreasing mixed-layer depth and temperature: possible implications for glacial cycles

Impact of submesoscale eddies on organic carbon pump 3D-simulation of phytoplankton in baroclinically unstable submesoscale eddy Vertical transports lead to upward N transport and plankton bloom Effect on distribution and net transport of carbon very modest: enhanced upward transport of DIC, enhanced downward transport of organic carbon

How to interpret satellite chlorophyll observations Looked at seasonal Chl cycle in Mozambique Channel Tried to reproduce cycle with various plankton population models Modeled Chl/N ratio gave best correlation with observed Chl: suggests that cycle represents variation in Chl/N rather than in plankton

Critical turbulence Huisman et al. (1999): if downward transport of plankton is faster than growth, then plankton goes extinct Critical turbulence = 1-D concept: How does it work out in 3-D?

Ocean eddy field Real 3-D ocean eddy field very complicated: simulate one single eddy for better understanding

Flow model Non-hydrostatic 3-D model Domain 32 km * 32 km * 1 km Periodic boundary conditions

SU-based Internal Transformation Yield (SITY) model - Three state variables (nutrient, algal biomass, detritus), only six parameters - Uptake according to SU-kinetics: organisms can be limited by light and nutrients - Detritus sinks

Initial conditions Biomass: –Sinking of organic nutrient balanced by upward diffusion of inorganic nutrient Eddy radius ~8 km, no vertical velocity

Vertical velocity patterns 3.6 days 7.2 days 12 days

Plankton distributions at different light intensities 50 mol/(m2 d) 2 mol/(m2 d) Two very distinct regimes!

2-D simulations Again, two regimes show up! D=0.01m2/s D=1m2/s

Explanation of regimes Eddy region optimal for plankton (high nutrients) Vertical exchange subcritical everywhere Vertical exchange supercritical in eddy region Adjacent regions optimal for plankton (relatively high nutrients and low vertical exchange) 1-D simulations consistent with explanation

- Vertical mixing + algal growth Distinct plankton distributions - Explanation: critical turbulence Conclusions More information: Omta et al., J. Mar. Res. 66: (2008)