Articles | Volume 15, issue 11
https://doi.org/10.5194/bg-15-3561-2018
https://doi.org/10.5194/bg-15-3561-2018
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. Gomez, Sang-Ki Lee, Yanyun Liu, Frank J. Hernandez Jr., Frank E. Muller-Karger, and John T. Lamkin

Viewed

Total article views: 3,611 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,395 1,093 123 3,611 434 91 81
  • HTML: 2,395
  • PDF: 1,093
  • XML: 123
  • Total: 3,611
  • Supplement: 434
  • BibTeX: 91
  • EndNote: 81
Views and downloads (calculated since 24 Nov 2017)
Cumulative views and downloads (calculated since 24 Nov 2017)

Viewed (geographical distribution)

Total article views: 3,611 (including HTML, PDF, and XML) Thereof 3,389 with geography defined and 222 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Jul 2024
Download
Short summary
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.
Altmetrics
Final-revised paper
Preprint