GLOBEC: Behavioral Models of Fish Patterning and Response to Global Climate Change

美国国家海洋和大气局的曼格尔博士和合作者保罗·史密斯博士将继续开展一项研究项目，利用动态的状态变量模型来预测浮游动物、小型鱼类和食鱼者的远洋模式，以及这种模式将如何应对全球气候变化。这将是他早先在动态状态变量建模方面所做的工作。调查的重点将放在加州洋流的资源上。关于远洋模式的经验数据将被用来构成模型的基础，估计模型的参数，并提供可用于检验模型的数据。

Dr. Mangel and collaborator Dr. Paul Smith at NOAA will pursue a research program in which dynamic, state variable modeling will be used to predict the pelagic pattern of zooplankton, small fish, and piscivores and how such pattern will respond to global climate change. This will follow from his earlier work on dynamic state variable modeling. The focus of the investigations will be on the resources of the California Current. The empirical data on pelagic pattern will be used to form the foundation of the models, estimate parameters of the models, and to provide data against which the models can be tested.