A Zooplankton Population Dynamics Model in the California Current Region

摘要：基于生物量谱理论的新进展（Platt and Dernman 1977； Zhou and Huntley提交），我们提出构建一个实用的浮游动物种群动态模型。该理论的测试和应用将使用1993年6月至7月和1993年9月至10月期间在加利福尼亚海流区域收集的涡旋解析CTD OPC（光学浮游生物计数器：Focal Instruments Inc.）数据。生物量谱理论的新进展明确包括种群动态参数，如个体增长率、出生率和死亡率。我们首先基于Platt和Denman的模型（1977）建立了浮游动物种群动态大小结构的一般生物量谱理论，然后证明该理论可以实际应用于从生物量谱观测中估计浮游动物种群动态速率和生产力。在这个理论中，浮游动物，包括所有种类和阶段，都是按重量分类的。为了从野外观测中估计种群动态率并验证模型结果，我们进一步开发了一种客观插值方法，该方法消除了平流观测的影响，并计算了时空插值的统计特性。这种客观插值方法将应用于加利福尼亚海流区域获得的浮游动物数据。结果，结合生物量谱理论和个体种群增长模型。将用于估计人口动态率。这些速率和浮游动物的时空分布使我们能够现实地构建和验证种群模型。在此基础上，建立基于生物量谱理论的数值模型，分析浮游植物种群动态速率，从观测或建模中提取浮游植物和物理场，输出浮游动物的时空分布和生产力。该模型提供了浮游植物和鱼类模型之间的营养联系，可以直接嵌入到现有的水动力生态系统模型中，用于生态系统研究和二次生产预测。这种方法果断地解决了GLOBEC的中心范式。首先，它直接解决了中尺度的人口动态。其次，它将建模与新采样技术（OPQ）的观测结果相结合。第三，本研究有意识地努力提供一个能够吸收现场数据的模型，从而可以用于指导和解释北太平洋东北部的GLOBEC观测。

MengProject Summary: We propose to construct a practical zooplankton population dynamics model based on novel advances in the biomass spectrum theory (Platt and Dernman 1977; Zhou and Huntley submitted). Testing and application of the theory will use eddy resolving CTD OPC (Optical Plankton Counter: Focal Instruments Inc.) 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 based on Platt and Denman's model (1977), 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 ftu-ther developed an objective interpolation method which removes the effects of advection ftom 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 approach assertively addresses the central GLOBEC paradigm First, it directly addresses population dynamics at the mesoscale. Second, it couples modeling with observations derived from new sampling technology (OPQ. Third, this research involves a conscious effort to provide a model that can assimilate field data and therefore can be used to both guide and interpret GLOBEC observations in Northeast North Pacific Ocean.