混乱的
李雅普诺夫指数
混沌(操作系统)
生态系统
理论(学习稳定性)
人口
生态学
自然(考古学)
统计物理学
生物
计量经济学
计算机科学
数学
物理
人工智能
机器学习
古生物学
人口学
社会学
计算机安全
作者
Tanya L. Rogers,Bethany Johnson,Stephan B. Munch
标识
DOI:10.1038/s41559-022-01787-y
摘要
Chaotic dynamics are thought to be rare in natural populations but this may be due to methodological and data limitations, rather than the inherent stability of ecosystems. Following extensive simulation testing, we applied multiple chaos detection methods to a global database of 172 population time series and found evidence for chaos in >30%. In contrast, fitting traditional one-dimensional models identified <10% as chaotic. Chaos was most prevalent among plankton and insects and least among birds and mammals. Lyapunov exponents declined with generation time and scaled as the -1/6 power of body mass among chaotic populations. These results demonstrate that chaos is not rare in natural populations, indicating that there may be intrinsic limits to ecological forecasting and cautioning against the use of steady-state approaches to conservation and management.
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