摘要翻译：
了解种群进化同步的原因是生态改善的一个重要问题。本文提出了一个由两个相关环境噪声驱动的Lotka-Volterra模型，并通过理论分析和直接仿真证明了噪声相关能引起互补者的同步。互种时间序列表现出类混沌涨落，这种涨落与噪声相关性无关，但互种比的混沌涨落随噪声相关性而减小。定义了一个描述混沌涨落的定量参数，为测量完全同步发生的时间提供了一个很好的方法。
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英文标题：
《Noise Correlation Induced Synchronization in a Mutualism Ecosystem》
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作者：
Wei-Rong Zhong, Yuan-Zhi Shao, Zhen-Hui He, Meng-Jie Bie, Dan Huang
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最新提交年份：
2007
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  Understanding the cause of the synchronization of population evolution is an important issue for ecological improvement. Here we present a Lotka-Volterra-type model driven by two correlated environmental noises and show, via theoretical analysis and direct simulation, that noise correlation can induce a synchronization of the mutualists. The time series of mutual species exhibit a chaotic-like fluctuation, which is independent to the noise correlation, however, the chaotic fluctuation of mutual species ratio decreases with the noise correlation. A quantitative parameter defined for characterizing chaotic fluctuation provides a good approach to measure when the complete synchronization happens.
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PDF链接：
https://arxiv.org/pdf/q-bio/0701033