Grant: Discovery Grants Program - Individual
Mount Allison University
$23,000.00
Trait-based phytoplankton models in a changing world
EF 2012-13
Résumé
Phytoplankton account for about 50% of global primary production and they drive a flux of carbon from the atmosphere to the deep ocean. This carbon flux is responsible for about 11 Gt C a-1. This is a significant flux of C as it is currently larger than the annual anthropogenic input of C into the atmosphere. Changing climate at the surface of the ocean, including temperature, atmospheric CO2, ocean pH, and wind-driven mixing, will alter the distribution of phytoplankton biomass and productivity and the amount of C exported by the biological pump. Presently the oceanographic community has only crude models for the amount of primary and export production and changes expected as a consequence of anthropogenic climate change. I will develop mathematical models of marine phytoplankton productivity and biomass distributions to predict effects of changing environmental conditions on primary and export production and consequences for biogeochemical cycles. My program goals are to connect phytoplankton physiological mechanisms such as acclimation to variable resources to their ecological and biogeochemical consequences, in order to predict how climate change will alter marine primary production, ecosystem dynamics and ocean carbon cycling. I will construct and test models of phytoplankton photosynthesis and growth and community composition and use databases and time-series to assess these modeling approaches, specifically taxonomic and size based traits and trait trade-offs.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
New Brunswick, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
311845-2010
Name nom
Irwin, Andrew
Department département
Mathematics and Computer Science
Organization id
74
Institution établissement
Mount Allison University
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2012
Competition year année de concours
2010
Award amount
23000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1503
Committee name en
Evolution and Ecology
Committee name fr
Évolution et écologie
Area of application code
1002
Area of application group en
Northern development
Area of application group fr
Développement du nord
Area of application en
Environment
Area of application fr
Environnement
Research subject code
4602
Research subject group en
Oceanography
Research subject group fr
Océanographie
Research subject en
Biological oceanography
Research subject fr
Océanographie biologique
Partie
3
Nb partie
5
Application title
Trait-based phytoplankton models in a changing world
Keyword
NSERC
Application summary
Phytoplankton account for about 50% of global primary production and they drive a flux of carbon from the atmosphere to the deep ocean. This carbon flux is responsible for about 11 Gt C a-1. This is a significant flux of C as it is currently larger than the annual anthropogenic input of C into the atmosphere. Changing climate at the surface of the ocean, including temperature, atmospheric CO2, ocean pH, and wind-driven mixing, will alter the distribution of phytoplankton biomass and productivity and the amount of C exported by the biological pump. Presently the oceanographic community has only crude models for the amount of primary and export production and changes expected as a consequence of anthropogenic climate change. I will develop mathematical models of marine phytoplankton productivity and biomass distributions to predict effects of changing environmental conditions on primary and export production and consequences for biogeochemical cycles. My program goals are to connect phytoplankton physiological mechanisms such as acclimation to variable resources to their ecological and biogeochemical consequences, in order to predict how climate change will alter marine primary production, ecosystem dynamics and ocean carbon cycling. I will construct and test models of phytoplankton photosynthesis and growth and community composition and use databases and time-series to assess these modeling approaches, specifically taxonomic and size based traits and trait trade-offs.