Emergent dynamics of laboratory insect swarms

被引:111
|
作者
Kelley, Douglas H. [1 ]
Ouellette, Nicholas T. [2 ]
机构
[1] MIT, Dept Mat Sci & Engn, Cambridge, MA 02139 USA
[2] Yale Univ, Dept Mech Engn & Mat Sci, New Haven, CT 06520 USA
来源
SCIENTIFIC REPORTS | 2013年 / 3卷
关键词
COLLECTIVE ANIMAL BEHAVIOR; STARFLAG HANDBOOK; PARTICLE TRACKING; TRANSITION; FLOCKS; FLIGHT; RULES; MODEL; FIELD;
D O I
10.1038/srep01073
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Collective animal behaviour occurs at nearly every biological size scale, from single-celled organisms to the largest animals on earth. It has long been known that models with simple interaction rules can reproduce qualitative features of this complex behaviour. But determining whether these models accurately capture the biology requires data from real animals, which has historically been difficult to obtain. Here, we report three-dimensional, time-resolved measurements of the positions, velocities, and accelerations of individual insects in laboratory swarms of the midge Chironomus riparius. Even though the swarms do not show an overall polarisation, we find statistical evidence for local clusters of correlated motion. We also show that the swarms display an effective large-scale potential that keeps individuals bound together, and we characterize the shape of this potential. Our results provide quantitative data against which the emergent characteristics of animal aggregation models can be benchmarked.
引用
收藏
页数:7
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