MIT Darwin Project

Modeling Marine Microbes

Skip to content
  • About
  • Research
  • People
  • News
  • Publications
  • Calendar
  • Media Library
  • Contact

Talmy, D., J. Blackford, N. J. Hardman-Mountford, L. Polimene, M.J. Follows, and R.J. Geider (2014) Flexible C : N ratio enhances metabolism of large phytoplankton when resource supply is intermittent. Biogeosciences,  11, 4881-4895, doi: 10.5194/bg-11-4881-2014

November 21, 2014UncategorizedFollows, publication, Talmyadmin

Post navigation

← Life on the Edge – How shifting marine province boundaries could provide a new metric for global change 2015 Aquatic Sciences Meeting →

Recent Posts

  • A Super-Speedy New Phytoplankton Model
  • A Bayesian approach to modeling phytoplankton population dynamics from size distribution time series
  • Attribution of space-time variability in global-ocean dissolved inorganic carbon
  • A Bayesian approach to modeling phytoplankton population dynamics from size distribution time series
  • Plankton community response to fronts: winners and losers

Categories

  • Climate Change
  • Diversity and Biogeography
  • Macromolecular Modeling
  • Mixotrophy
  • Modeling Tools
  • Nitrogen Fixation
  • Ocean Color
  • People
  • Regional Modeling
  • Research
  • Top-Down Control
  • Trait Based Approaches
  • Uncategorized

Meta

  • Log in
  • Entries RSS
  • Comments RSS
  • WordPress.org

Tags

  • Ashkezari
  • Barton
  • BB Cael
  • Braakman
  • Bragg
  • Britten
  • Casey
  • CBIOMES
  • Chakraborty
  • Chisholm
  • Clayton
  • Dutkiewicz
  • Flierl
  • Follett
  • Follows
  • Forget
  • Hickman
  • Hill
  • Inomura
  • Jahn
  • Kempes
  • Krinos
  • Lauderdale
  • Levy
  • meeting
  • Meiler
  • MIT News
  • Monteiro
  • Omta
  • outreach
  • publication
  • Rao
  • SCOPE
  • Scott
  • Ser-Giacomi
  • Simons Foundation
  • Tabatabai
  • Talmy
  • Taniguchi
  • Vallina
  • video
  • Ward
  • Williams
  • Zakem
  • Zhen Wu

Related Links

  • CBIOMES
  • SCOPE

Accessibility

ACCESSIBILITY
Proudly powered by WordPress