Statistical Tools and Population Models

We use statistical models to extract biological insights from SeaFlow data. We develop population models to estimate key rates - such as growth, division and mortality - from the spatial and temporal changes in phytoplankton size distributions. By linking these rates to environmental conditions, we show how factors like temperature, nutrients, and light shape phytoplankton communities on a global scale.

See Software to learn more about our statistical tools and population models.

Francois Ribalet
Francois Ribalet
Research Associate Professor

Our research combines SeaFlow cytometry and statistical modeling to study how environmental changes shape marine phytoplankton communities and their central role in ocean ecosystems and the global carbon cycle.