A Zooplankton Population Dynamics Model in the California Current Region

MengProject摘要：我们建议建立一个实用的浮游动物种群动力学模型的基础上的生物量谱理论的新进展（普拉特和Dernman 1977;周和亨特利提交）。理论的测试和应用将使用涡流分辨CTD OPC（光学浮游生物计数器：Focal Instruments Inc.）1993年6月至7月和1993年9月至10月在加州海流区收集的数据。生物量谱理论的新进展明确包括种群动力学参数，如个体生长率，出生率和死亡率。本文首先在Platt和登曼（1977）模型的基础上发展了一个尺度结构浮游动物种群动态的生物量谱理论，然后论证了这一理论可以实际应用于从生物量谱的观测来估计浮游动物的种群动态速率和生产力。在这个理论中，浮游动物，包括所有的种类和阶段，都是按重量分类的。为了从野外观测数据中估计种群动态率并验证模型结果，我们进一步发展了一种客观插值方法，该方法消除了观测数据中平流的影响，并计算了时空插值的统计特性。这种客观的插值方法将被应用到浮游动物的数据在加州目前的地区。结合生物量谱理论和个体种群增长模型，对上述结果进行了分析.将被用来估计人口动态的比率。这些比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。然后，我们将建立一个基于生物量谱理论和分析种群动力学速率的数值模型，该模型从观测或建模中获取浮游植物和物理场，并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，并可以直接嵌入到现有的水动力生态系统模型的生态系统研究和预测的次级生产力。这种方法果断地解决了中央GLOBEC范式首先，它直接解决人口动态在中尺度。其次，它耦合建模与观测来自新的采样技术（OPQ。第三，这项研究涉及有意识的努力，提供一个模式，可以同化现场数据，因此可以用来指导和解释东北北太平洋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.