Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK.
J R Soc Interface. 2012 Mar 7;9(68):528-34. doi: 10.1098/rsif.2011.0363. Epub 2011 Aug 10.
Translating observations taken at small spatio-temporal scales into expected patterns at greater scales is a major challenge in spatial ecology because there is typically insufficient relevant information. Here, it is shown that truncated Lévy walks are the most conservative, maximally non-committal description of movement patterns beyond the scale of data collection when correlated random walks characterize observed movements and when there is partial information about landscape and behavioural heterogeneity. This provides a new conceptual basis for Lévy walks that is divorced from optimal searching theory and free from the difficulties with discerning their presence in empirical data.
将小时空尺度上的观测结果转化为较大尺度上的预期模式，这是空间生态学中的一个主要挑战，因为通常缺乏足够的相关信息。本文表明，当相关随机游走描述观测到的运动，并且对景观和行为异质性只有部分信息时，截断 Lévy 游走是超越数据收集尺度的运动模式的最保守、最大程度不承诺的描述。这为 Lévy 游走提供了一个新的概念基础，与最优搜索理论分离，并且避免了在经验数据中辨别它们存在的困难。
