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区分移动动物群体中的社会导航和非社会导航。

Distinguishing social from nonsocial navigation in moving animal groups.

机构信息

York Centre for Complex Systems Analysis, Ron Cooke Hub, University of York, York YO10 5GE, United Kingdom.

出版信息

Am Nat. 2012 May;179(5):621-32. doi: 10.1086/665005. Epub 2012 Mar 28.

Abstract

Many animals, such as migrating shoals of fish, navigate in groups. Knowing the mechanisms involved in animal navigation is important when it comes to explaining navigation accuracy, dispersal patterns, population and evolutionary dynamics, and consequently, the design of conservation strategies. When navigating toward a common target, animals could interact socially by sharing available information directly or indirectly, or each individual could navigate by itself and aggregations may not disperse because all animals are moving toward the same target. Here we present an analysis technique that uses individual movement trajectories to determine the extent to which individuals in navigating groups interact socially, given knowledge of their target. The basic idea of our approach is that the movement directions of individuals arise from a combination of responses to the environment and to other individuals. We estimate the relative importance of these responses, distinguishing between social and nonsocial interactions. We develop and test our method, using simulated groups, and we demonstrate its applicability to empirical data in a case study on groups of guppies moving toward shelter in a tank. Our approach is generic and can be extended to different scenarios of animal group movement.

摘要

许多动物,如洄游的鱼群,都是成群结队地进行导航。了解动物导航中涉及的机制对于解释导航精度、扩散模式、种群和进化动态以及保护策略的设计都很重要。当动物朝着共同的目标导航时,它们可以通过直接或间接的方式分享可用信息进行社交互动,或者每个个体都可以自行导航,并且聚集物可能不会分散,因为所有动物都朝着同一个目标移动。在这里,我们提出了一种分析技术,该技术使用个体运动轨迹来确定在已知目标的情况下,导航群体中的个体在多大程度上进行社交互动。我们方法的基本思想是,个体的运动方向是由对环境和其他个体的反应的组合产生的。我们估计这些反应的相对重要性,区分社交和非社交相互作用。我们使用模拟群体来开发和测试我们的方法,并在一个关于向水箱中的避难所移动的孔雀鱼群体的案例研究中展示了其在实证数据中的适用性。我们的方法是通用的,可以扩展到不同的动物群体运动场景。

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