Data and Tools to Define the Biogeography
of Marine Microbes
Investigator: Ginger Armbrust, UW
Trait-based theory models are used to simulate and interpret marine microbial communities and their role in biogeochemical cycles. However, it is difficult to quantitatively test these models, because of the limited and disparate observations available. Work in my group seeks to create a data repository — Ocean Atlas — to easily retrieve data relevant to the biogeography of phytoplankton in the North Pacific and North Atlantic Ocean and be readily usable with machine learning tools. This work builds on our ongoing efforts in my lab to integrate and interrogate datasets in near real-time while at sea. The Ocean Atlas and toolkits will be used to better understand how the biogeography of the structure of phytoplankton community varies in space and time and how realized niches relate to key traits such as growth rates and mortality rates.
CBIOMES Collaborators in the Armbrust Lab
News from the Armbrust Group
"Quasi Synoptic Observation of Surface Phytoplankton Response to Mesoscale Eddy Variabilities" Please note access to this page is restricted to CBIOMES associates. (more…)
“Development of a tensor decomposition-based gene clustering method: application to Prochlorococcus and Synechococcus community transcription data in the North Pacific” Please note access to this page is restricted to CBIOMES...
A warm welcome to Tansy Burns who joined the UW CBIOMES Group last month. (more…)
"A Bayesian Approach to the Size-structured Matrix Population Model" Please note access to this page is restricted to CBIOMES associates. (more…)