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Biogeosciences An interactive open-access journal of the European Geosciences Union
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Volume 15, issue 11
Biogeosciences, 15, 3561-3576, 2018
https://doi.org/10.5194/bg-15-3561-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 15, 3561-3576, 2018
https://doi.org/10.5194/bg-15-3561-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 15 Jun 2018

Research article | 15 Jun 2018

Seasonal patterns in phytoplankton biomass across the northern and deep Gulf of Mexico: a numerical model study

Fabian A. Gomez1,2,3, Sang-Ki Lee3, Yanyun Liu4,5, Frank J. Hernandez Jr.1, Frank E. Muller-Karger6, and John T. Lamkin7 Fabian A. Gomez et al.
  • 1Division of Coastal Sciences, University of Southern Mississippi, Ocean Springs, MS, USA
  • 2Northern Gulf Institute, Mississippi State University, Stennis Space Center, MS, USA
  • 3Atlantic Oceanographic and Meteorological Laboratory, NOAA, Miami, FL, USA
  • 4Climate Prediction Center, NOAA/NWS/NCEP, College Park, MD, USA
  • 5Innovim, LLC, Greenbelt, MD, USA
  • 6College of Marine Science, University of South Florida, St. Petersburg, FL, USA
  • 7Southeast Fisheries Science Center, NOAA, Miami, FL, USA

Abstract. Biogeochemical models that simulate realistic lower-trophic-level dynamics, including the representation of main phytoplankton and zooplankton functional groups, are valuable tools for improving our understanding of natural and anthropogenic disturbances in marine ecosystems. Previous three-dimensional biogeochemical modeling studies in the northern and deep Gulf of Mexico (GoM) have used only one phytoplankton and one zooplankton type. To advance our modeling capability of the GoM ecosystem and to investigate the dominant spatial and seasonal patterns of phytoplankton biomass, we configured a 13-component biogeochemical model that explicitly represents nanophytoplankton, diatoms, micro-, and mesozooplankton. Our model outputs compare reasonably well with observed patterns in chlorophyll, primary production, and nutrients over the Louisiana–Texas shelf and deep GoM region. Our model suggests silica limitation of diatom growth in the deep GoM during winter and near the Mississippi delta during spring. Model nanophytoplankton growth is weakly nutrient limited in the Mississippi delta year-round and strongly nutrient limited in the deep GoM during summer. Our examination of primary production and net phytoplankton growth from the model indicates that the biomass losses, mainly due to zooplankton grazing, play an important role in modulating the simulated seasonal biomass patterns of nanophytoplankton and diatoms. Our analysis further shows that the dominant physical process influencing the local rate of change of model phytoplankton is horizontal advection in the northern shelf and vertical mixing in the deep GoM. This study highlights the need for an integrated analysis of biologically and physically driven biomass fluxes to better understand phytoplankton biomass phenologies in the GoM.

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Seasonal patterns in nanophytoplankton and diatom biomass in the Gulf of Mexico were examined with an ocean–biogeochemical model. We found silica limitation of model diatom growth in the deep GoM and Mississippi delta. Zooplankton grazing and both transport and vertical mixing of biomass substantially influence the model phytoplankton biomass seasonality. We stress the need for integrated analyses of biologically and physically driven biomass fluxes to describe phytoplankton seasonal changes.
Seasonal patterns in nanophytoplankton and diatom biomass in the Gulf of Mexico were examined...
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