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We have also explored the importance of a diversity of diazotroph types. We have used our models and resource competition theory to understand the geographic distribution of diazotrophs in the current ocean, and potential changes in a future ocean.
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On the global scale, diazotrophy is the largest source of fixed nitrogen in the modern ocean counterbalancing the sinks due to denitrification and anammox. Nitrogen fixers or diazotrophs, organisms that fix nitrogen gas (N 2) into an organic form, play an important role in the climate system as the availability of inorganic nitrogen can represent a significant limiting factor for marine primary production. calcium carbonate or silicate), differences in elemental composition, different optimal temperature, and light adaptation, morphology, predator avoidance and variation of trophic strategies. Some key functional traits include, for example, the ability to fix dinitrogen gas and the use of specific minerals (e.g.
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These relationships can be interpreted biophysically, invoking the scaling with size and encounter rates, fluxes through molecular boundary layers or internal redistribution networks.
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Phytoplankton assemblages have been empirically shown to vary systematically in size, depending in part on resource delivery rates, with important ecological and biogeochemical consequences, for example modulating export. Trait Based Approaches: size and biogeochemical function null hypothesis, dispersion, trait strategies, top down control) and what sets the biogeography of these assemblages. We explore what sets the diversity of the assemblages (e.g. The type of assemblage of phytoplankton has a key role in regulating biogeochemical pathways and fluxes including the export of organic matter to the deep ocean. Phytoplankton are an extremely diverse set of organisms spanning nine orders of magnitude in cell size and an enormous range of morphologies, biochemical function, elemental requirements, and trophic strategy. Significant developments of our models are recorded in the papers: Schematic representation of the parameterization of photoautotroph physiology employed in marine ecosystem models: (left) Monod- type, (center) Droop/Caperon-type with individual quota for each element, (right) schematic concept for a model of algal physiology that resolves key biochemical components of an algal cell. We are however working to incorporate more physiological detail in terms of a “ macro-molecular model “. 2009), while the latter incorporates internal stores of elements in a Droop-style model (e.g. The former uses simple monod kinetics (e.g. In particular there are two types of models: “Monod” and “Quota”.
#Darwin project key code#
The code is available with example experiments at MITgcm_contrib/darwin2. Our numerical models have been developed within the MITgcm framework, and have also been implemented in ROMS ( Goebel et al. We specifically develop models to help us understand the diversity and biogeography of the plankton communities using trait based approaches. These models are helping us explore the role of plankton in climate change, mixotrophy, nitrogen fixation, and top-down control. Modeling plankton communities in the global oceanĪ key part of the Darwin Project is developing theoretical and numerical models of the marine ecosystems.