Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic
Volume 11, issue 19
Biogeosciences, 11, 5381–5398, 2014
https://doi.org/10.5194/bg-11-5381-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 11, 5381–5398, 2014
https://doi.org/10.5194/bg-11-5381-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 07 Oct 2014

Research article | 07 Oct 2014

A mechanistic particle flux model applied to the oceanic phosphorus cycle

T. DeVries1,2,3, J.-H. Liang1,4,5,6, and C. Deutsch1,7 T. DeVries et al.
  • 1Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, USA
  • 2now at Department of Geography, University of California, Santa Barbara, CA, USA
  • 3also at Earth Research Institute, University of California, Santa Barbara, CA, USA
  • 4Applied Physics Laboratory, University of Washington, Seattle, WA, USA
  • 5now at Department of Oceanography and Coastal Sciences, Louisiana State University, LA, USA
  • 6also at Center for Computation and Technology, Louisiana State University, LA, USA
  • 7School of Oceanography, University of Washington, Seattle, WA, USA

Abstract. The sinking and decomposition of particulate organic matter are critical processes in the ocean's biological pump, but are poorly understood and crudely represented in biogeochemical models. Here we present a mechanistic particle remineralization and sinking model (PRiSM) that solves the evolution of the particle size distribution with depth. The model can represent a wide range of particle flux profiles, depending on the surface particle size distribution, the relationships between particle size, mass and sinking velocity, and the rate of particle mass loss during decomposition. The particle flux model is embedded in a data-constrained ocean circulation and biogeochemical model with a simple P cycle. Surface particle size distributions are derived from satellite remote sensing, and the remaining uncertain parameters governing particle dynamics are tuned to achieve an optimal fit to the global distribution of phosphate. The resolution of spatially variable particle sizes has a significant effect on modeled organic matter production rates, increasing production in oligotrophic regions and decreasing production in eutrophic regions compared to a model that assumes spatially uniform particle sizes and sinking speeds. The mechanistic particle model can reproduce global nutrient distributions better than, and sediment trap fluxes as well as, other commonly used empirical formulas. However, these two independent data constraints cannot be simultaneously matched in a closed P budget commonly assumed in ocean models. Through a systematic addition of model processes, we show that the apparent discrepancy between particle flux and nutrient data can be resolved through P burial, but only if that burial is associated with a slowly decaying component of organic matter such as might be achieved through protection by ballast minerals. Moreover, the model solution that best matches both data sets requires a larger rate of P burial (and compensating inputs) than have been previously estimated. Our results imply a marine P inventory with a residence time of a few thousand years, similar to that of the dynamic N cycle.

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