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探寻洄游鱼群的集体记忆。

Fishing out collective memory of migratory schools.

作者信息

De Luca Giancarlo, Mariani Patrizio, MacKenzie Brian R, Marsili Matteo

机构信息

SISSA, International School for Advanced Studies, , Trieste, Italy.

出版信息

J R Soc Interface. 2014 Mar 19;11(95):20140043. doi: 10.1098/rsif.2014.0043. Print 2014 Jun 6.

Abstract

Animals form groups for many reasons, but there are costs and benefits associated with group formation. One of the benefits is collective memory. In groups on the move, social interactions play a crucial role in the cohesion and the ability to make consensus decisions. When migrating from spawning to feeding areas, fish schools need to retain a collective memory of the destination site over thousands of kilometres, and changes in group formation or individual preference can produce sudden changes in migration pathways. We propose a modelling framework, based on stochastic adaptive networks, that can reproduce this collective behaviour. We assume that three factors control group formation and school migration behaviour: the intensity of social interaction, the relative number of informed individuals and the strength of preference that informed individuals have for a particular migration area. We treat these factors independently and relate the individuals' preferences to the experience and memory for certain migration sites. We demonstrate that removal of knowledgeable individuals or alteration of individual preference can produce rapid changes in group formation and collective behaviour. For example, intensive fishing targeting the migratory species and also their preferred prey can reduce both terms to a point at which migration to the destination sites is suddenly stopped. The conceptual approaches represented by our modelling framework may therefore be able to explain large-scale changes in fish migration and spatial distribution.

摘要

动物形成群体有多种原因,但群体形成也伴随着成本和收益。其中一个好处是集体记忆。在移动的群体中,社会互动在凝聚力和做出共识决策的能力方面起着至关重要的作用。当从产卵区迁移到觅食区时,鱼群需要在数千公里的距离内保留对目的地的集体记忆,群体形成或个体偏好的变化可能会导致洄游路径的突然改变。我们提出了一个基于随机自适应网络的建模框架,它可以重现这种集体行为。我们假设三个因素控制群体形成和鱼群洄游行为:社会互动的强度、有信息个体的相对数量以及有信息个体对特定洄游区域的偏好强度。我们独立处理这些因素,并将个体的偏好与对某些洄游地点的经验和记忆联系起来。我们证明,去除有知识的个体或改变个体偏好会导致群体形成和集体行为的快速变化。例如,针对洄游物种及其首选猎物的密集捕捞会将这两个因素都降低到一个点,此时向目的地的洄游会突然停止。因此,我们的建模框架所代表的概念方法也许能够解释鱼类洄游和空间分布的大规模变化。

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