Population-reaction model and microbial experimental ecosystems for understanding hierarchical dynamics of ecosystems

Population-reaction model and microbial experimental ecosystems for understanding hierarchical dynamics of ecosystems
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DOI:
10.1016/j.biosystems.2015.12.005
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发表时间:
2016-02-01
期刊:
影响因子:
1.6
通讯作者:
Ishii, Kojiro
Ishii, Kojiro
中科院分区:
生物学4区
文献类型:
--
作者:
Hosoda, Kazufumi;Tsuda, Soichiro;Ishii, Kojiro

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了解生态系统动态是至关重要的,因为当代人类社会面临生态系统退化。需要认识到的挑战之一是复杂的等级动态。传统的生态学动态模型往往只代表种群水平,尚未包括亚有机体水平的动态,这使得生态系统成为一个复杂的适应系统,表现出特征行为,如恢复力和政权转移。在传统的动态模型中忽略了亚有机体水平,这是因为整合多个层次水平使模型变得不必要的复杂,除非存在支持性实验数据。现在,大量的分子和生态数据越来越容易在微生物实验生态系统中获得,这是值得解决的问题,其复杂的层次动力学。在这里,我们提出了一种方法,结合微生物实验生态系统和分层动态模型命名为人口反应模型。我们提出了一个简单的微生物实验生态系统作为一个例子,并展示了如何系统可以分析的人口反应模型。我们还表明,种群反应模型可以应用于各种生态概念,如捕食者-猎物的相互作用,气候变化,进化和多样性的稳定性。我们的方法将揭示对各种生态系统和生物体的一般理解的途径。(C)2015作者出版社:Elsevier爱尔兰Ltd.
Understanding ecosystem dynamics is crucial as contemporary human societies face ecosystem degradation. One of the challenges that needs to be recognized is the complex hierarchical dynamics. Conventional dynamic models in ecology often represent only the population level and have yet to include the dynamics of the sub-organism level, which makes an ecosystem a complex adaptive system that shows characteristic behaviors such as resilience and regime shifts. The neglect of the sub-organism level in the conventional dynamic models would be because integrating multiple hierarchical levels makes the models unnecessarily complex unless supporting experimental data are present. Now that large amounts of molecular and ecological data are increasingly accessible in microbial experimental ecosystems, it is worthwhile to tackle the questions of their complex hierarchical dynamics. Here, we propose an approach that combines microbial experimental ecosystems and a hierarchical dynamic model named population-reaction model. We present a simple microbial experimental ecosystem as an example and show how the system can be analyzed by a population-reaction model. We also show that population-reaction models can be applied to various ecological concepts, such as predator-prey interactions, climate change, evolution, and stability of diversity. Our approach will reveal a path to the general understanding of various ecosystems and organisms. (C) 2015 The Authors. Published by Elsevier Ireland Ltd.