School of Zoology, University of Tasmania, Hobart, Australia.
Adv Mar Biol. 2011;60:161-227. doi: 10.1016/B978-0-12-385529-9.00004-4.
Aggregations of organisms, ranging from zooplankton to whales, are an extremely common phenomenon in the pelagic zone; perhaps the best known are fish schools. Social aggregation is a special category that refers to groups that self-organize and maintain cohesion to exploit benefits such as protection from predators, and location and capture of resources more effectively and with greater energy efficiency than could a solitary individual. In this review we explore general aggregation principles, with specific reference to pelagic organisms; describe a range of new technologies either designed for studying aggregations or that could potentially be exploited for this purpose; report on the insights gained from theoretical modelling; discuss the relationship between social aggregation and ocean management; and speculate on the impact of climate change. Examples of aggregation occur in all animal phyla. Among pelagic organisms, it is possible that repeated co-occurrence of stable pairs of individuals, which has been established for some schooling fish, is the likely precursor leading to networks of social interaction and more complex social behaviour. Social network analysis has added new insights into social behaviour and allows us to dissect aggregations and to examine how the constituent individuals interact with each other. This type of analysis is well advanced in pinnipeds and cetaceans, and work on fish is progressing. Detailed three-dimensional analysis of schools has proved to be difficult, especially at sea, but there has been some progress recently. The technological aids for studying social aggregation include video and acoustics, and have benefited from advances in digitization, miniaturization, motion analysis and computing power. New techniques permit three-dimensional tracking of thousands of individual animals within a single group which has allowed novel insights to within-group interactions. Approaches using theoretical modelling of aggregations have a long history but only recently have hypotheses been tested empirically. The lack of synchrony between models and empirical data, and lack of a common framework to schooling models have hitherto hampered progress; however, recent developments in this field offer considerable promise. Further, we speculate that climate change, already having effects on ecosystems, could have dramatic effects on aggregations through its influence on species composition by altering distribution ranges, migration patterns, vertical migration, and oceanic acidity. Because most major commercial fishing targets schooling species, these changes could have important consequences for the dependent businesses.
生物聚群,从浮游动物到鲸鱼,在海洋浮游带中极为常见;也许最著名的就是鱼群。社会聚群是一个特殊的类别,指的是自行组织并保持凝聚力的群体,以更有效地利用保护免受捕食者的侵害,以及定位和捕获资源等好处,其效率要高于单个个体。在本综述中,我们探讨了一般的聚群原则,并特别参考了海洋浮游生物;描述了一系列新的技术,这些技术要么是专为研究聚群而设计的,要么有可能被用于此目的;报告了从理论建模中获得的见解;讨论了社会聚群与海洋管理之间的关系;并推测了气候变化的影响。聚群的例子存在于所有动物门中。在海洋浮游生物中,一些鱼类形成稳定的成对个体的反复共现,这可能是导致社会互动网络和更复杂的社会行为的前兆。社会网络分析为社会行为增加了新的见解,并使我们能够剖析聚群,并研究组成个体之间的相互作用。这种类型的分析在鳍足类动物和鲸类动物中已经很先进,鱼类的工作也在进展中。对鱼群的详细三维分析证明是困难的,特别是在海上,但最近已经取得了一些进展。用于研究社会聚群的技术辅助手段包括视频和声学,并受益于数字化、小型化、运动分析和计算能力的进步。新技术允许在单个群体中对数千个个体进行三维跟踪,这使得对群体内部相互作用有了新的见解。使用聚群的理论建模方法具有悠久的历史,但直到最近才对假设进行了实证检验。模型与经验数据之间缺乏同步性,以及缺乏一个共同的 schooling 模型框架,迄今为止一直阻碍着进展;然而,该领域的最新发展带来了很大的希望。此外,我们推测,气候变化已经对生态系统产生影响,通过改变分布范围、迁徙模式、垂直迁徙和海洋酸度等方式影响物种组成,可能会对聚群产生巨大影响。由于大多数主要的商业捕鱼目标都是洄游鱼类,因此这些变化可能会对依赖这些鱼类的企业产生重要影响。