Research Unit of Biodiversity (UMIB, UO-CSIC-PA), Oviedo University, Campus Mieres, 33600 Mieres, Spain
Research Unit of Biodiversity (UMIB, UO-CSIC-PA), Oviedo University, Campus Mieres, 33600 Mieres, Spain.
Philos Trans R Soc Lond B Biol Sci. 2018 May 19;373(1746). doi: 10.1098/rstb.2017.0008.
Animal collective movements are a key example of a system that links two clearly defined levels of organization: the individual and the group. Most models investigating collective movements have generated coherent collective behaviours without the inclusion of individual variability. However, new individual-based models, together with emerging empirical information, emphasize that within-group heterogeneity may strongly influence collective movement behaviour. Here we (i) review the empirical evidence for individual variation in animal collective movements, (ii) explore how theoretical investigations have represented individual heterogeneity when modelling collective movements and (iii) present a model to show how within-group heterogeneity influences the collective properties of a group. Our review underscores the need to consider variability at the level of the individual to improve our understanding of how individual decision rules lead to emergent movement patterns, and also to yield better quantitative predictions of collective behaviour.This article is part of the theme issue 'Collective movement ecology'.
动物的集体运动是一个将两个明确界定的组织层次(个体和群体)联系起来的关键范例。大多数研究集体运动的模型都生成了连贯的集体行为,而没有包含个体可变性。然而,新的基于个体的模型以及新兴的经验信息强调,群体内的异质性可能会强烈影响集体运动行为。在这里,我们 (i) 回顾了动物集体运动中个体变异的经验证据,(ii) 探讨了理论研究在对集体运动进行建模时如何表示个体异质性,以及 (iii) 提出了一个模型来展示群体内的异质性如何影响群体的集体特性。我们的综述强调了需要考虑个体水平的变异性,以提高我们对个体决策规则如何导致涌现运动模式的理解,并对集体行为进行更好的定量预测。本文是“集体运动生态学”主题特刊的一部分。