摘要翻译:
成群结队旅行的动物表现出各种迷人的运动模式,被认为是群体成员之间微妙的局部互动的结果。虽然从移动的个体收集高分辨率的时空数据可以提供调查和解释集体运动现象的最翔实的方法,但这种数据很少,而且由于相关的技术困难,对于自然环境中的远距离群体运动几乎不存在。在这里,我们给出了实验结果,在这些实验中,由高分辨率的轻型GPS设备获得了多达10只信鸽成群飞行的航迹日志,并使用受统计物理学常用方法启发的各种相关函数进行了分析。我们从关于两两相互作用中的主导角色的数据中发现了一个定义良好的群体成员层次结构,该层次结构是基于鸟类方向选择之间的特征延迟时间定义的。鸽子在群中的平均空间位置与它在等级中的位置密切相关,鸟类对主要通过左眼感知的特定物的反应更快--这两个结果都揭示了相对于群中配偶采取不同位置的鸟类的不同角色。从进化的角度来看,我们的结果表明,群体飞行的等级组织可能比平等组织更有效,至少对于那些允许群体成员之间定期成对互动的群体规模来说,在此期间,领导者-跟随者关系一直表现出来。
---
英文标题:
《Hierarchical group dynamics in pigeon flocks》
---
作者:
Mate Nagy, Zsuzsa Akos, Dora Biro, Tamas Vicsek
---
最新提交年份:
2010
---
分类信息:
一级分类:Physics 物理学
二级分类:Biological Physics 生物物理学
分类描述:Molecular biophysics, cellular biophysics, neurological biophysics, membrane biophysics, single-molecule biophysics, ecological biophysics, quantum phenomena in biological systems (quantum biophysics), theoretical biophysics, molecular dynamics/modeling and simulation, game theory, biomechanics, bioinformatics, microorganisms, virology, evolution, biophysical methods.
分子生物物理、细胞生物物理、神经生物物理、膜生物物理、单分子生物物理、生态生物物理、生物系统中的量子现象(量子生物物理)、理论生物物理、分子动力学/建模与模拟、博弈论、生物力学、生物信息学、微生物、病毒学、进化论、生物物理方法。
--
一级分类:Physics 物理学
二级分类:Adaptation and Self-Organizing Systems 自适应和自组织系统
分类描述:Adaptation, self-organizing systems, statistical physics, fluctuating systems, stochastic processes, interacting particle systems, machine learning
自适应,自组织系统,统计物理,波动系统,随机过程,相互作用粒子系统,机器学习
--
一级分类:Quantitative Biology 数量生物学
二级分类:Other Quantitative Biology 其他定量生物学
分类描述:Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
--
---
英文摘要:
Animals that travel together in groups display a variety of fascinating motion patterns thought to be the result of delicate local interactions among group members. Although the most informative way of investigating and interpreting collective movement phenomena would be afforded by the collection of high-resolution spatiotemporal data from moving individuals, such data are scarce and are virtually non-existent for long-distance group motion within a natural setting because of the associated technological difficulties. Here we present results of experiments in which track logs of homing pigeons flying in flocks of up to 10 individuals have been obtained by high-resolution lightweight GPS devices and analyzed using a variety of correlation functions inspired by approaches common in statistical physics. We find a well-defined hierarchy among flock members from data concerning leading roles in pairwise interactions, defined on the basis of characteristic delay times between birds' directional choices. The average spatial position of a pigeon within the flock strongly correlates with its place in the hierarchy, and birds respond more quickly to conspecifics perceived primarily through the left eye - both results revealing differential roles for birds that assume different positions with respect to flock-mates. From an evolutionary perspective, our results suggest that hierarchical organisation of group flight may be more efficient than an egalitarian one, at least for those flock sizes that permit regular pairwise interactions among group members, during which leader-follower relationships are consistently manifested.
---
PDF链接:
https://arxiv.org/pdf/1010.5394