Match / mismatch of zooplankton- phytoplankton interactions, based on existing long-term information in the North Sea

浮游植物的演替和浮游动物的共存仍然知之甚少，特别是在海洋环境中。我们仍然非常不确定气候变化如何影响这些生物以及它们之间的相互作用。然而，对于北海，我们有办法通过分析两个现有的数据库来改变这种情况，一个具有高时间分辨率，另一个具有高空间分辨率，分别是Helgoland Roads （HR）和Continuous Plankton Recorder （CPR）数据库。我们将使用一系列不同的方法（从标准线性统计到基于符号动力学方法的高级多元数据分析）来区分北海的演替模式。我们将确定主要的指导过程，例如放牧、光照、营养、这些模式中的水文，以及关键事件，如淡水和盐水入侵或风暴，它们驱动或触发生物的时间。为了在数据中搜索和识别这种驱动或触发机制，我们将采用最近引入的bloom触发平均方法。研究与气候异常和全球变暖有关的关键事件的变化。以这一背景为基础，将确定近40年来浮游生物和浮游动物/浮游植物相互作用的共生，并调查与气候变化相关的生物匹配不匹配。

Phytoplankton succession and the concurrence of Zooplankton are still poorly understood particularly in marine environments. We are still very unsure as to how climate change affects these organisms and their interactions. For the North Sea, however, we have the means to change this by analysing two existing databases, one with high temporal resolution and one with high spatial resolution, the Helgoland Roads (HR) and Continuous Plankton Recorder (CPR) databases, respectively. We will use a diverse array of methods (from standard linear statistics through to advanced multivariate data analysis based on the method of symbolic dynamics) to differentiate patterns of succession in the North Sea. We will determine the main steering processes e.g. grazing, light, nutrients, hydrography in these patterns and key events such as fresh and saltwater intrusions, or storms, which either drive or trigger timing of organisms. To search and identify such driving or trigger mechanisms within data we will employ the recently introduced method of bloom triggered averaging. We will investigate changes in the key events related to climate anomalies and global warming. Using this backdrop as a basis the co-occurrence of pelagic organisms and zooplankton/phytoplankton interactions will be determined and organism match-mismatch investigated related to climate shifts over the last 40 years.