Westberry, T. K.. Institute for Computational Earth System Science and Interdepartmental Program in Marine Science, toby@icess.ucsb.edu
Siegel, D. K.. Institute for Computational Earth System Science, davey@icess.ucsb.edu
Nelson, N. B.. Bermuda Biological Station for Reseach, norm@bbsr.edu
O'Brien, M. C.. Insitute for Computational Earth System Science, mob@icess.ucsb.edu

The need for accurate estimates of primary production on synoptic and global scales must rely on remotely sensed quantities. Here, we characterize light-primary production relationships for the Sargasso Sea and assess the predictive capability of global primary production models. The length (6+ years) and consistency of data collected as part of the US-JGOFS Bermuda Atlantic Time Series and the Bermuda Bio-Optics Program provide a robust dataset from which to explore these processes. Use of these measurements with several current models yield generally poor results, accounting for less than 30% of the variance observed in water column-integrated primary production rates. Site-specific modeling exercises demonstrate the importance of light saturated rates of primary production compared to other photoadaptive parameters. This is due to the fact that a large portion of depth integrated primary production (~40%) occurs under light-saturated conditions. A simple predictive model for light saturated rates of production is given and applied to the dataset. Results show some improvement over past investigations and reflect the complex nature of phytoplankton physiological parameters. Failure of the global models to encapsulate a major portion of the variance indicates that their use on a regional basis may not be valid and other approaches are required.
Day: Thursday, Feb. 4
Time: Poster
Location: Sweeney Center
Code: CS62TH0184S