A model for variable phytoplankton stoichiometry based on cell protein regulation
Bonachela, J. A. and Allison, S. D. and Martiny, A. C. and Levin, S. A. (2013) A model for variable phytoplankton stoichiometry based on cell protein regulation. Biogeosciences, 10 (6). pp. 4341-4356. ISSN 1726-4170 (https://doi.org/10.5194/bg-10-4341-2013)
Preview |
Text.
Filename: Bonachela_etal_Biogeosciences_2013_Variable_phytoplankton_stoichiometry_based_on_cell_protein_regulation.pdf
Final Published Version License: Download (2MB)| Preview |
Abstract
The elemental ratios of marine phytoplankton emerge from complex interactions between the biotic and abiotic components of the ocean, and reflect the plastic response of individuals to changes in their environment. The stoichiometry of phytoplankton is, thus, dynamic and dependent on the physiological state of the cell. We present a theoretical model for the dynamics of the carbon, nitrogen and phosphorus contents of a phytoplankton population. By representing the regulatory processes controlling nutrient uptake, and focusing on the relation between nutrient content and protein synthesis, our model qualitatively replicates existing experimental observations for nutrient content and ratios. The population described by our model takes up nutrients in proportions that match the input ratios for a broad range of growth conditions. In addition, there are two zones of single-nutrient limitation separated by a wide zone of co-limitation. Within the co-limitation zone, a single point can be identified where nutrients are supplied in an optimal ratio. When different species compete, the existence of a wide co-limitation zone implies a more complex pattern of coexistence and exclusion compared to previous model predictions. However, additional comprehensive laboratory experiments are needed to test our predictions. Our model contributes to the understanding of the global cycles of oceanic nitrogen and phosphorus, as well as the elemental ratios of these nutrients in phytoplankton populations.
ORCID iDs
Bonachela, J. A. ORCID: https://orcid.org/0000-0002-3316-8120, Allison, S. D., Martiny, A. C. and Levin, S. A.;-
-
Item type: Article ID code: 50090 Dates: DateEvent27 June 2013PublishedSubjects: Agriculture > Aquaculture. Fisheries. Angling
Science > Mathematics > Probabilities. Mathematical statisticsDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 31 Oct 2014 16:38 Last modified: 11 Nov 2024 10:50 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/50090