Computational Modeling of Phytoplankton Population Dynamics

Our research bridges the gap between observational data and computational modeling to understand phytoplankton population dynamics.

We are developing inovative computational approaches, including matrix population models, to investigate the effects of environmental change on phytoplankton. These models leverage high-resolution observations from SeaFlow to track key phytoplankton activities including growth, mortality, carbon fixation, respiration, and exudation across various size classes.

Check our Software section to find out more about our computational tools.