Temperature chaos and microbial food web dynamics

微生物食物网主导着海洋和淡水生态系统的功能。关于气候变化对水生生态系统的影响的结论通常是基于对实验温度持续上升的研究。然而，自上世纪60年代确定性混沌理论问世以来，生物体面临着外界温度的非线性动力学问题。气候变化的一个重要预报是天气(例如温度)变异性增加，特别是在欧洲中部。因此，我们希望通过对实验食物网动态行为的模型研究，为目前在AQUASHIFT框架下工作的联合体的研究做出贡献。生物体不仅面临外部的不规则性，而且面临种群动态参数的内部(内在)波动。在这里，我们想要研究的是外在因素和内在因素的非线性动力学行为之间的相互作用。我们开发了一个特殊的模型系统，由微生物两种捕食者-捕食者系统组成，允许详细分析定义的恒化器条件下的动态行为。我们将分析由于外部(温度)和内在(种群数量)参数的非线性动态对不同营养水平的干扰而发生的匹配/不匹配，以期为理解全球变化对水生群落的影响创造一个理论基础。

Microbial food webs dominate the functioning of marine and freshwater ecosystems. Conclusions on the impact of climatic changes on aquatic ecosystems have generally been based on studies of constant increases in experimental temperatures. However, since the invention of deterministic chaos in the 60ies of the last century, it is known that organisms are confronted with non-linear dynamics of external temperatures. One important forecast for climate changes is the increase of weather (e.g. temperature) variability especially in the middle of Europe. Thus, we would like to contribute to the studies of the current consortia working in the frame of AQUASHIFT with a model study on the dynamic behaviour of experimental food webs. Organisms are not only faced with external irregularities but also with internal (intrinsic) fluctuations of population dynamic parameters. Here we would like to investigate the interaction between non-linear dynamic behaviours of extrinsic and intrinsic factors. We have developed an exceptional model systems consisting of a microbial two-preyone-predator-systems that allows for a detailed analysis of dynamic behaviour under defined chemostat conditions. We will analyze match/mismatches occurring due to the interference of non-linear dynamics of extrinsic (temperature) and intrinsic (population sizes) parameters on different trophic levels and would like to contribute to create a theoretical basis for the understanding of the impact of global changes on aquatic communities.