The colour of noise in short ecological time series data.

The colour of noise in short ecological time series data.
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短生态时间序列数据中噪声的颜色。

DOI:
10.1093/imammb/21.1.63
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发表时间:
2004
期刊:
Mathematical medicine and biology : a journal of the IMA
影响因子:
--
通讯作者:
M. Keeling
M. Keeling
中科院分区:
--
文献类型:
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作者:
P. Rohani;O. Miramontes;M. Keeling

文献摘要

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生态时间序列数据的统计特性及其一般趋势历来引起生态学家的极大兴趣。近年来,有一个重点是建立“记忆”在这些数据中的相对重要性。Pimm & Redfearn(1988 Nature,334,613-614)的经典研究对于在生态群落中建立种群时间序列通常是“红移”(由长期趋势主导)的观点非常重要。这一结论是通过探讨生态数据中观测到的变异性与普查长度之间的关系,并将其与人工生成的数据进行比较得出的。在这里,我们强调了这种方法的一些微妙的问题,并提出了可能的替代分析方法,特别是当感兴趣的时间序列很短。
The statistical properties of ecological time series data and general trends therein have historically been of great interest to ecologists. In recent years, there has been a focus on establishing the relative importance of 'memory' in these data. The classic study by Pimm & Redfearn (1988 Nature, 334, 613-614) has been extremely important in establishing within the ecological community the idea that population time series are generally 'red-shifted' (dominated by long-term trends). This conclusion was reached by exploring the relationship between observed variability and census length in ecological data and comparing them with those for artificially generated data. Here, we highlight some subtle problems with this approach and suggest possible alternative methods of analysis, especially when the time series of interest are short.