Deciphering interactions in moving animal groups.

Deciphering interactions in moving animal groups.
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移动动物群体中的解密相互作用。

DOI:
10.1371/journal.pcbi.1002678
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发表时间:
2012
影响因子:
4.3
通讯作者:
Theraulaz G
Theraulaz G
中科院分区:
生物学2区
文献类型:
--
作者:
Gautrais J;Ginelli F;Fournier R;Blanco S;Soria M;Chaté H;Theraulaz G

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长期以来,大型社会有机体群体中的集体运动现象一直吸引着观察者,特别是在鸟群或鱼群这样的情况下,在没有明显领导者的情况下,大规模的高度协调的行动出现了。然而,这种自组织行为所涉及的机制仍然知之甚少,因为它们背后的个体层面的相互作用仍然难以捉摸。在这里,我们展示了一个自下而上的方法来建立动物群体运动模型,从个人规模收集的数据的力量。使用视频跟踪的鱼群在坦克中,我们展示了如何仔细,增量分析在本地规模允许确定的刺激/响应函数管理个人的移动决策。我们发现,特别是位置和方向的影响是存在的,作用于鱼的转动速度,并依赖于游泳速度,产生一种新的学校教育模型,其参数都是从数据估计。我们的方法还导致识别密度依赖性效应,该效应导致所考虑的最大群体的行为变化。这表明,在封闭环境中,鱼类的行为状态和它们的反应模式随群体大小而变化。我们辩论的适用性,超出了这里研究的特定情况下,这个新的框架破译移动动物群体的相互作用。成群的昆虫、鱼群和鸟群展示了令人印象深刻的各种集体模式,这些模式来自群体成员之间的局部互动。这些令人困惑的现象提出了一系列关于行为规则的问题,这些规则支配着个体运动的协调和大规模模式的出现。虽然已经提出了许多模型,但仍然迫切需要进行详细的实验研究,以促进对这种集体运动的生物学理解。在这里,我们使用的数据记录的鱼禁止flagtails在不断增加的规模在水箱中的组移动,以证明一个增量的方法,建立一个完全基于与物理环境和邻近的鱼的相互作用的鱼的行为模型的力量。与以前的作品相比,我们的模型揭示了一个隐含的平衡邻居的位置和方向上的鱼的转动速度,一个意想不到的转变浅滩和学校诱导的游泳速度的变化,和一个组大小的影响,导致减少鱼类之间的社会相互作用的密度增加。该模型的一个重要特征在于其允许大量自适应模式的能力,具有极大的经济性。
Collective motion phenomena in large groups of social organisms have long fascinated the observer, especially in cases, such as bird flocks or fish schools, where large-scale highly coordinated actions emerge in the absence of obvious leaders. However, the mechanisms involved in this self-organized behavior are still poorly understood, because the individual-level interactions underlying them remain elusive. Here, we demonstrate the power of a bottom-up methodology to build models for animal group motion from data gathered at the individual scale. Using video tracks of fish shoal in a tank, we show how a careful, incremental analysis at the local scale allows for the determination of the stimulus/response function governing an individual's moving decisions. We find in particular that both positional and orientational effects are present, act upon the fish turning speed, and depend on the swimming speed, yielding a novel schooling model whose parameters are all estimated from data. Our approach also leads to identify a density-dependent effect that results in a behavioral change for the largest groups considered. This suggests that, in confined environment, the behavioral state of fish and their reaction patterns change with group size. We debate the applicability, beyond the particular case studied here, of this novel framework for deciphering interactions in moving animal groups. Swarms of insects, schools of fish and flocks of birds display an impressive variety of collective patterns that emerge from local interactions among group members. These puzzling phenomena raise a variety of questions about the behavioral rules that govern the coordination of individuals' motions and the emergence of large-scale patterns. While numerous models have been proposed, there is still a strong need for detailed experimental studies to foster the biological understanding of such collective motion. Here, we use data recorded on fish barred flagtails moving in groups of increasing sizes in a water tank to demonstrate the power of an incremental methodology for building a fish behavior model completely based on interactions with the physical environment and neighboring fish. In contrast to previous works, our model revealed an implicit balancing of neighbors position and orientation on the turning speed of fish, an unexpected transition between shoaling and schooling induced by a change in the swimming speed, and a group-size effect which results in a decrease of social interactions among fish as density increases. An important feature of this model lies in its ability to allow a large palette of adaptive patterns with a great economy of means.
DOI: 10.1016/s0167-2789(03)00102-7
发表时间: 2003-07-15
影响因子: 4
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影响因子: 11.1
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影响因子: 2
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影响因子: 2.1
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