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本文引用的文献

1
Overturning conclusions of Lévy flight movement patterns by fishing boats and foraging animals.推翻渔船和觅食动物的 Lévy 飞行运动模式的结论。
Ecology. 2011 Jun;92(6):1247-57. doi: 10.1890/10-1182.1.
2
Bridging the gulf between correlated random walks and Lévy walks: autocorrelation as a source of Lévy walk movement patterns.弥合相关随机游走和 Lévy 游走之间的差距:自相关作为 Lévy 游走运动模式的来源。
J R Soc Interface. 2010 Dec 6;7(53):1753-8. doi: 10.1098/rsif.2010.0292. Epub 2010 Jul 14.
3
Environmental context explains Lévy and Brownian movement patterns of marine predators.环境背景解释了海洋捕食者的 Lévy 和布朗运动模式。
Nature. 2010 Jun 24;465(7301):1066-9. doi: 10.1038/nature09116. Epub 2010 Jun 9.
4
Sampling rate and misidentification of Lévy and non-Lévy movement paths.采样率与 Lévy 和非 Lévy 运动路径的误识别。
Ecology. 2009 Dec;90(12):3546-53. doi: 10.1890/09-0079.1.
5
Efficient or inaccurate? Analytical and numerical modelling of random search strategies.高效还是不准确?随机搜索策略的分析和数值建模。
Bull Math Biol. 2010 May;72(4):896-913. doi: 10.1007/s11538-009-9473-z. Epub 2009 Nov 14.
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Continuous models of population-level heterogeneity inform analysis of animal dispersal and migration.种群水平异质性的连续模型为动物扩散和迁移的分析提供了信息。
Ecology. 2009 Aug;90(8):2233-42. doi: 10.1890/08-0359.1.
7
Optimising the success of random destructive searches: Lévy walks can outperform ballistic motions.优化随机破坏搜索的成功率: Lévy 游走可以胜过弹道运动。
J Theor Biol. 2009 Sep 7;260(1):98-103. doi: 10.1016/j.jtbi.2009.05.033. Epub 2009 Jun 6.
8
The Lévy flight paradigm: random search patterns and mechanisms.列维飞行范式:随机搜索模式与机制
Ecology. 2009 Apr;90(4):877-87. doi: 10.1890/08-0153.1.
9
Dispersal in a statistically structured population: fat tails revisited.在具有统计结构的种群中扩散:重新审视长尾分布。
Am Nat. 2009 Feb;173(2):278-89. doi: 10.1086/595755.
10
Optimizing the encounter rate in biological interactions: Ballistic versus Lévy versus Brownian strategies.优化生物相互作用中的相遇率:弹道式策略与列维策略与布朗运动策略的比较
Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Nov;78(5 Pt 1):051128. doi: 10.1103/PhysRevE.78.051128. Epub 2008 Nov 26.

评估 Lévy 游走作为动物觅食模型。

Assessing Lévy walks as models of animal foraging.

机构信息

Biomathematics Research Centre, University of Canterbury, Christchurch, New Zealand.

出版信息

J R Soc Interface. 2011 Sep 7;8(62):1233-47. doi: 10.1098/rsif.2011.0200. Epub 2011 Jun 1.

DOI:10.1098/rsif.2011.0200
PMID:21632609
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3140726/
Abstract

The hypothesis that the optimal search strategy is a Lévy walk (LW) or Lévy flight, originally suggested in 1995, has generated an explosion of interest and controversy. Long-standing empirical evidence supporting the LW hypothesis has been overturned, while new models and data are constantly being published. Statistical methods have been criticized and new methods put forward. In parallel with the empirical studies, theoretical search models have been developed. Some theories have been disproved while others remain. Here, we gather together the current state of the art on the role of LWs in optimal foraging theory. We examine the body of theory underpinning the subject. Then we present new results showing that deviations from the idealized one-dimensional search model greatly reduce or remove the advantage of LWs. The search strategy of an LW with exponent μ = 2 is therefore not as robust as is widely thought. We also review the available techniques, and their potential pitfalls, for analysing field data. It is becoming increasingly recognized that there is a wide range of mechanisms that can lead to the apparent observation of power-law patterns. The consequence of this is that the detection of such patterns in field data implies neither that the foragers in question are performing an LW, nor that they have evolved to do so. We conclude that LWs are neither a universal optimal search strategy, nor are they as widespread in nature as was once thought.

摘要

最初于 1995 年提出的最优搜索策略是 Lévy 游走(LW)或 Lévy 飞行的假设,引发了极大的兴趣和争议。支持 LW 假说的长期经验证据已经被推翻,而新的模型和数据不断被发表。统计方法受到了批评,新的方法也被提出。与实证研究并行的是,理论搜索模型也得到了发展。一些理论被证明是错误的,而另一些理论则仍然存在。在这里,我们汇集了 LW 在最佳觅食理论中的作用的最新研究进展。我们检查了该主题的理论基础。然后,我们提出了新的结果,表明与理想化的一维搜索模型的偏差大大降低或消除了 LW 的优势。因此,μ=2 的 LW 的搜索策略并不像人们普遍认为的那样稳健。我们还回顾了分析现场数据的现有技术及其潜在陷阱。人们越来越认识到,有多种机制可以导致明显的幂律模式的观察。其结果是,在现场数据中检测到这种模式既不意味着所讨论的觅食者正在执行 LW,也不意味着它们已经进化到这样做。我们的结论是,LW 既不是普遍的最优搜索策略,也不像曾经认为的那样在自然界中广泛存在。