Predicting plankton biogeography and stoichiometry

Andrew Irwin
Dalhousie University

Marine microbial communities form the base of the marine food web and perform about half of the photosynthesis on Earth. They are key components of the global carbon cycle and help to sequester carbon in the deep ocean, removing it from the atmosphere, through the burial of organic matter on the seafloor. The productivity and function of marine microbial communities are determined in part by the biogeography — which species live where.

In our work, we assemble and analyze observations of microbial communities to develop predictive statistical models that describe community composition. Our long-term objective is to develop skill in predicting phytoplankton biogeography from both statistical and simple differential equation models. A synthesis of biogeographic
information and complex ecosystem models will enable the testing of modeling approaches and the development of improved biogeographies to fill in the under-sampled regions of the ocean.

CBIOMES Collaborators in the Irwin Group

News from the Irwin Group

The Irwin Group goes to Annual Meeting

Andrew Irwin's Dalhousie-CBIOMES group leads the Statistical Modeling of Microbial Communities: Niches, Traits, and Interactions project which seeks to develop a new trait-based understanding of microbial communities structure. In his...

May 2020 CBIOMES e-meeting – Crispin Mutshinda (Dal)

"Bayesian inference to partition determinants of community dynamics from observational time series" Please note access to this page is restricted to CBIOMES associates. (more…)

NEW CBIOMES PUBLICATION

Crispin M. Mutshinda, Andrew J. Irwin, Mikko J. Sillanpää (2020), A Bayesian Framework for Robust Quantitative Trait Locus Mapping and Outlier Detection, The International Journal of Biostatistics, doi: 10.1515/ijb-2019-0038 Get the PDF...

Seen at Ocean Sciences: CBIOMES Posters

Several CBIOMES members shared posters at this year’s Ocean Sciences conference which took place in San Diego in February. Please note access to this page is restricted to CBIOMES associates....

NEW CBIOMES PUBLICATION

C. Mutshinda, C. Widdicombe, Z.V. Finkel, A.J. Irwin (2019), Bayesian inference to partition determinants of community dynamics from observational time series, Community Ecology, doi: 10.1556/168.2019.20.3.4 Get the PDF [Requires login]

CBIOMES Welcomes Mohammad Amirian Matlob

by Helen Hill for CBIOMES A warm welcome to graduate student Mohammad Amirian Matlob who joins Andrew Irwin's Dalhousie CBIOMES Group this month. (more…)

CBIOMES at CMStatistics2019

In December, several from CBIOMES traveled to London, England, to present their work at CMStatistics2019, a conference organized by the European Research Consortium for Informatics (ERCIM) Working Group on Computational...

CBIOMES Goes to Ocean Sciences 2020

Look out for members of the CBIOMES team, sharing their work at this year’s Ocean Sciences conference taking place February 16-21 in San Diego, California. (more…)

Fall 2019 SCOPE Gradients Workshop

Twelve from CBIOMES attended the 2019 Gradients Workshop held at the Alexis Hotel in Seattle WA October 15 through 17. Please note access to this page is restricted to CBIOMES...

NEW CBIOMES PUBLICATION

Catherine Fiset, Andrew J. Irwin, Zoe V. Finkel (2019), The macromolecular composition of non‐calcified marine macroalgae, Journal of Phycology, doi: 10.1111/jpy.12913 Get the PDF [Requires login]

Phytoplankton Realized Niches Track Changing Oceanic Conditions at a Long-Term Coastal Station off Sydney Australia

by Helen Hill for CBIOMES CBIOMES researchers in the Dalhousie Group looking at changes in phytoplankton biogeography in response to changing climate find mean phytoplankton niches closely tracked changes in mean...

  • 1
  • 2

Past Annual Reporting

2020 | 20192018 [login required]