文章基本信息

标题：Anatomy of a chaotic attractor: Subtle model-predicted patterns revealed in population data
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作者：Aaron A. King ; R. F. Costantino ; J. M. Cushing 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2004
卷号：101
期号：1
页码：408-413
DOI：10.1073/pnas.2237266100
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：Mathematically, chaotic dynamics are not devoid of order but display episodes of near-cyclic temporal patterns. This is illustrated, in interesting ways, in the case of chaotic biological populations. Despite the individual nature of organisms and the noisy nature of biological time series, subtle temporal patterns have been detected. By using data drawn from chaotic insect populations, we show quantitatively that chaos manifests itself as a tapestry of identifiable and predictable patterns woven together by stochasticity. We show too that the mixture of patterns an experimentalist can expect to see depends on the scale of the system under study.