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Microzooplankton regulation of particulate organic matter elemental composition
David Talmy, Adam Martiny, Anna Hickman, Mick Follows Bigelow, March 2016
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Why do we care about elemental composition?
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Animal growth efficiency is influenced by food C:N ratio
Cabbage butterfly caterpillar gross growth efficiency Biomass C:N in food Elser 2000 …Ecosystem function depends on elemental stoichiometry
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Biological pump efficiency depends on C:N ratio of organic material
CO2 Surface layer Sinking organic material Deep ocean Inorganic N
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Alfred Redfield (1934,1963): C:N of organic matter = 6.625
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Martiny et al., (2013): large data compilation shows scattered C:N ratios and regional variation
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Average C:N value in particulates close to Redfield (Martiny et al
Phytoplankton grown in the lab have average C:N values close to Redfield (Geider and La Roche, 2002)
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Phytoplankton C:N is different to that of bulk partiulates in the western North Atlantic (Martiny et al., 2013)
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What are the main consumers of phytoplankton?
Phytoplankton losses due to microzooplankton grazing, from dilution experiments (Calbet and Landry, 2004)
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Questions What role do phytoplankton play regulating the mean C:N ratio of organic matter? Does phytoplankton C:N ever diverge from Redfield? If so, what causes these diversions? Do interactions between producers and consumers influence mean and regional variation in C:N?
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Outline Understanding phytoplankton regulation of surface ocean C:N ratio Exploring microzooplankton C:N ratio in response to varying food sources Coupling the phytoplankton and zooplankton models in global ocean simulations, and comparing with observations
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Section 1: Can we understand C:N ratio using a simple model?
Cyanobacteria have narrow range of C:N (Lopez et al., in prep; Elirifi and Turpin, 1985) Cyanobacteria have narrow range of C:N (Lopez et al., in prep; Elirifi and Turpin, 1985)
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Large phyto Ecosystem model with just two functional groups of phytoplankton: small and large. Question: what is the large scale spatial variation in C:N predicted by this model? NO3- Particulate detritus Small phyto Dissolved detritus
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Global ecosystem model: small phytoplankton and large phytoplankton have similar patterns in surface ocean C:N, but different ranges
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Small phytoplankton dominate biomass in the oligotrophic gyres
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Model with small and large phytoplankton still has C:N in the gyres close to 10; large variation with latitude
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Our model of phytoplankton C:N ratio is consistently higher than the C:N of bulk particulates
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Phytoplankton C:N is different to that of bulk particulates in the western North Atlantic (Martiny et al., 2013)
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Section 2: How do the main grazers of phytoplankton respond to food with varying C:N ratio?
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Time (hours) Starvation experiment: C:N ratio declines over time, probably due to maintenance respiration
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Food starved zooplankton respire excess C!
Can this model explain changes in Oxyrrhis marina C:N?
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Section 3: Can we understand microzooplankton regulation of C:N ratio using a model?
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NO3- Small phyto Large phyto Particulate detritus Dissolved detritus Micro-zoo Ecosystem model with a microzooplankton size class explicit: What does this tell us about microzooplankton control on POC:PON?
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Highly idealized global ecosystem model – just three functional groups
Large phytoplankton constitute higher portion of carbon biomass in eutrophic environments (e.g. Ward et al. 2013) Organic carbon distribution
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Microzooplankton lower C:N in nutrient limited gyres (Talmy et al
Microzooplankton lower C:N in nutrient limited gyres (Talmy et al., GBC, 2016)
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Martiny et al., 2013 Model with microzooplankton has particulate C:N ratio significantly lower than phytoplankton
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Modeled phytoplankton and zooplankton C:N ratio as a function of mean light intensity in 12 distinct ocean regimes Linear increase of phytoplankton C:N ratio with mean light intensity Not reflected in the modeled aggregate of phytoplankton and zooplankton …also not evident in observations
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Detritus is an amalgam of zooplankton and phytoplankton C:N
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Caveats and limitations
Iron limitation influences on nitrogen fixation and phytoplankton C:N ratio was not modeled We did not explicitly model microbial remineralization of organic material Phytoplankton and zooplankton models do not reflect the full diversity of metabolic strategies that influence C:N ratio of organic material
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Multicellular zooplankton could have C:N ratios higher than Redfield
Forest et al., 2011
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Conclusions In the nutrient limited gyres, phytoplankton C:N may be consistently higher than microzooplankton C:N Microzooplankton respiration may reduce the C:N ratio of bulk particulates, thereby regulating the C:N of bulk particulate material
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Thank you – Questions? coauthors: Adam Martiny, Anna Hickman, Chris Hill and Mick Follows Acknowledgements to: Oliver Jahn, Steph Dutkiewicz
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Cell models with appropriate fluxes link metabolism with large scale processes
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Question: can we use the model to understand costs associated with calcification?
Virus (e.g. EhV)
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Can we understand the costs and benefits associated with calcification, e.g.:
Costs: energy carbon Benefits: Reduced grazer metabolic rates (Harvey 2015), or resistance to viral infection.
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Sensitivity of the model to different assumptions about the respiratory cost of calcification
Low cost of calcification Moderate cost of calcification High cost of calcification
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Katechakis et al., 2006
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Invation of a plankton community by a mixotroph does not significantly change C:N (Katechakis et al., 2006)
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Heterotrophs usually show more stoichiometric homeostasis than autotrophs
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