A Zooplankton Population Dynamics Model in the California Current Region

Meng项目概述：我们建议基于生物量谱理论的最新进展(Platt和Dunnman 1977；周和Huntley提交)构建一个实用的浮游动物种群动力学模型。该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：焦点仪器公司)1993年6月至1993年10月期间在加利福尼亚州当前地区收集的数据。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。我们首先在Platt和Denman(1977)模型的基础上发展了一个关于大小结构浮游动物种群动力学的一般生物量谱理论，然后证明了该理论可以从生物量谱的观测中实际应用于浮游动物种群动态率和生产力的估计。在这一理论中，浮游动物，包括所有物种和阶段，都是按重量分类的。为了从现场观测中估计种群动态率和验证模拟结果，我们进一步发展了一种客观内插方法，该方法消除了平流观测的影响，并计算了时空内插的统计性质。这一客观插值法将应用于在加州当前地区获得的浮游动物数据。研究结果与生物量谱理论和个体种群增长模型相结合。将被用来估计人口动态的速度。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。然后，我们将建立一个基于生物量谱理论和分析种群动态率的数值模型，从观测或模拟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中，用于生态系统研究和次生生产力预测。这一方法首先肯定地解决了GLOBEC的核心范式，它直接解决了中尺度上的人口动态。其次，它将建模与来自新采样技术(OPQ.第三，这项研究包括有意识地努力提供一个可以同化现场数据的模式，因此可以用来指导和解释东北太平洋的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.