A Zooplankton Population Dynamics Model in the California Current Region. (Huntley, M. E. [Scripps Institute of Oceanography (SIO)], Zhou, M. [SIO]) We propose to construct a practical zooplankton population dynamics model based on novel advances in the biomass spectrum theory. Testing and application of the theory will use eddy-resolving Optical Plankton Counter data collected in the California Current region during June-July 1993 and September-October 1993. The novel advances in the biomass spectrum theory explicitly include population dynamics parameters such as rates of individual growth, birth, and mortality. We first developed a general biomass spectrum theory of size-structured zooplankton population dynamics and then demonstrated that this theory can be practically applied to estimate zooplankton population dynamics rates and productivity from observations of the biomass spectrum. In this theory, zooplankton, including all species and stages, are classified by weight. For estimating population dynamics rates from field observations and verifying modeling results, we further developed an objective interpolation method which removes the effects of advection from observations and calculates statistical properties of the spatiotemporal interpolation. This objective interpolation method will be applied to zooplankton data obtained in the California Current region. The results, together with the biomass spectrum theory and individual-population growth models, will be used to estimate rates of population dynamics. These rates and zooplankton spatiotemporal distributions allow us realistically to construct and verify a population model. Then we will develop a numerical model based on the biomass spectrum theory and analyzed population dynamics rates, which takes the phytoplankton and physical fields from observations or modeling, and outputs zooplankton spatiotemporal distribution and productivity. This model provides the trophic link between models of phytoplankton and fish, and can be directly embedded into an existing hydrodynamic-ecosystem model for ecosystem study and prediction of secondary production.


This page was last updated on March 15, 2007.

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College of Oceanic and Atmospheric Sciences
Oregon State University
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