Center for Coastal Physical Oceanography



2008 Spring Seminar Series

"Evaluating a Marine Ecosystem Model against Global Trends in Production and Biomass of Phytoplankton, Zooplankton, and Bacteria: Sensitivity, Calibration and Diagnosis"

Dr. Charles Stock
Geophysical Fluid Dynamics Laboratory
Princeton University

Monday, February 18, 2008
3:30 PM
Room 3200, Research Innovations Building I

Abstract

Mechanistic marine ecosystem models serve to synthesize diverse information about the interacting organisms and processes shaping marine ecosystems. However, using ecosystem models to provide mechanistic, quantitative explanations for observed patterns is made difficult due to uncertainty in model parameters and structure, the complex interdependencies between model elements, and the sparseness of data. These challenges are exacerbated when the model must match observations across a broad range of ecosystems.

To develop a globally robust representation of marine ecosystem dynamics, results of a size-structured marine ecosystem model are compared to global trends in: 1) phytoplankton biomass ; 2) phytoplankton turnover rates; 3) phytoplankton size-structure; 4) bacterial biomass; 5) bacterial turnover rates; and 6) zooplankton biomass. Steady-state results within idealized euphotic zones are first considered. Basic observed trends are apparent in the model solutions using mean parameter values, but notable biases also exist. The impacts of ~40 parameter and structural sensitivities within the model are thus diagnosed. Perturbation analyses are used to identify key parameters and processes and group those with similar dynamical impacts. Two largely orthogonal groups are revealed. The first group, which includes parameters describing zooplankton ingestion and phytoplankton nutrient uptake, modulates the phytoplankton size structure, phytoplankton turnover rates, and the ratio of bacterial to phytoplankton carbon. The second group, which includes parameters governing the balance between recycling and export, imposes correlated changes in steady-state biomass across functional groups, wherein biomass increases with more efficient recycling. A step-wise calibration using maximum likelihood is then performed by sequentially adding critical parameters identified by the sensitivity analysis. The largest model biases are removed after tuning 5-7 parameters, with diminishing improvement from tuning additional parameters thereafter. Finally, the calibrated model serves as a tool to diagnose the relative impacts of size-structure and temperature on the ratio of production to export.



Biography

Dr. Stock’s research is focused using coupled physical-biological models and observations to understand the interacting biological, chemical, and physical processes operating within aquatic ecosystems and how these processes are influenced by natural and anthropogenic forces. Dr. Stock received a Ph.D. from the Woods Hole Oceanographic Institution/MIT Joint Program in Oceanography, where he worked on modeling Harmful Algal Blooms in the Gulf of Maine. His postdoctoral position was at the University of California, Berkeley and Princeton University and focused on developing a simple model for the biomass spectrum. Dr. Stock is presently an associate research scholar at Princeton University and the Geophysical Fluid Dynamics Laboratory (GFDL), where he is working on expanding the capabilities of the GFDL’s modeling tools to better address marine resource issues, and developing and carrying out projects to that end.

Reception before seminar at 3:00 PM


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