Temperature chaos and microbial food web dynamics

温度混沌和微生物食物网动力学

• 批准号: 29651403
• 负责人: Professor Dr. Hartmut Arndt
• 金额: --
• 依托单位: Workgroup General Ecology
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2006
• 资助国家: 德国
• 起止时间: 2005-12-31 至 2010-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/29651403?language=en
• 关键词: Temperature; chaos; microbial; food; web

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.

微生物食物网控制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影响的结论一般是根据对实验温度不断升高的研究得出的。然而，自从上个世纪60年代确定性混沌的发明以来，人们知道生物体面临着外部温度的非线性动力学。对气候变化的一个重要预测是天气（例如温度）变率的增加，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框架内工作的财团的研究做出贡献。生物体不仅面临着外部的不规则性，而且还面临着内部（内在）的种群动力学参数的波动。在这里，我们想调查的非线性动力学行为的外在和内在因素之间的相互作用。我们已经开发了一个特殊的模型系统，包括一个微生物的两个preyone捕食系统，允许在定义恒化器条件下的动态行为的详细分析。我们将分析匹配/不匹配发生由于外在（温度）和内在（人口规模）参数的非线性动态的干扰不同的营养水平，并希望有助于创建一个理论基础，了解全球变化对水生生物群落的影响。