A Zooplankton Population Dynamics Model in the California Current Region

孟项目摘要：我们建议基于生物量谱理论的新进展构建实用的浮游动物种群动态模型（Platt 和 Dernman 1977；Zhou 和 Huntley 提交）。该理论的测试和应用将使用 1993 年 7 月和 1993 年 9 月在加利福尼亚海流地区收集的涡流解析 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，例如个体生长率、出生率和死亡率。我们首先基于 Platt 和 Denman 模型（1977）开发了尺寸结构浮游动物种群动态的通用生物量谱理论，然后证明该理论可以实际应用于根据生物量谱的观测来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，包括所有物种和阶段，都是按重量分类的。为了根据现场观测估计种群动态速率并验证建模结果，我们进一步开发了一种客观插值方法，该方法消除了观测中平流的影响并计算时空插值的统计特性。这种客观插值方法将应用于在加州海流地区获得的浮游动物数据。结果，连同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。这些比率和浮游动物时空分布使我们能够真实地构建和验证种群模型。然后，我们将建立基于生物量谱理论并分析种群动态速率的数值模型，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，可以直接嵌入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核心 GLOBEC 范式首先，它直接解决了中尺度的人口动态问题。其次，它将建模与新采样技术（OPQ）得出的观测结果结合起来。第三，这项研究涉及有意识地努力提供一个可以同化现场数据的模型，因此可用于指导和解释北太平洋东北部的 GLOBEC 观测结果。

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.