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Scientific Report 2007-2009<br />

Condensed matter physics and biophysics<br />

C13. Understanding large scale collective three dimensional<br />

movements<br />

Collective phenomena are well known in physics, being<br />

at the core of phase transitions in condensed matter.<br />

They have been deeply investigated, providing with conceptual<br />

and methodological tools that can be usefully applied<br />

also in other fields. In biology, for example, collective<br />

behaviour is widespread, occurring at several scales<br />

and levels of complexity. Animal groups - like insect<br />

swarms and bird flocks - are paradigmatic cases of emergent<br />

self-organization. There is no leader to guide individuals<br />

towards the common patterns. Rather, collective<br />

behaviour arises spontaneously as a consequence of the<br />

local interactions between individuals, much as it happens<br />

in ordering phenomena in condensed matter systems.<br />

A crucial issue is therefore to understand how selforganization<br />

emerges in animal aggregations and how behavioural<br />

rules at the individual level regulate collective<br />

efficiency and group function.<br />

Bird flocking is a striking example of collective animal<br />

behaviour. A vivid illustration of such phenomenon<br />

is provided by the aerial display of vast flocks of starlings<br />

gathering at dusk over the roost and swirling with<br />

extraordinary spatial coherence.<br />

We have done for the first time a quantitative study of<br />

aerial display [1,2,3]. The individual three-dimensional<br />

positions in compact flocks of up to few thousands birds<br />

have been measured. We investigated the main features<br />

of the flock as a whole: shape, movement, density and<br />

structure.<br />

We found that flocks are relatively thin, with variable<br />

sizes, but constant proportions. They tend to slide<br />

parallel to the ground, and during turns their orientation<br />

changes with respect to the direction of motion. Individual<br />

birds keep a minimum distance from each other; we<br />

measure such exclusion zone and find that it is comparable<br />

to the wingspan. The density within the aggregations<br />

is inhomogeneous, as birds are more packed at the border<br />

compared to the centre of the flock. These results constitute<br />

the first set of large-scale data on three-dimensional<br />

animal aggregations. Current models and theories of collective<br />

animal behaviour can now be tested against these<br />

data.<br />

By reconstructing the three-dimensional position and<br />

velocity of individual birds in large flocks of starlings [4],<br />

we measured to what extent the velocity fluctuations of<br />

different birds are correlated to each other. We found<br />

that the range of such spatial correlation does not have<br />

a constant value, but it scales with the linear size of<br />

the flock. This result indicates that behavioural correlations<br />

are scale-free: the change in the behavioural state<br />

of one animal affects and is affected by that of all other<br />

animals in the group, no matter how large the group is.<br />

Scale-free correlations provide each animal with an effective<br />

perception range much larger than the direct interindividual<br />

interaction range, thus enhancing global response<br />

to perturbations. Our results suggest that flocks<br />

behave as critical systems, poised to respond maximally<br />

to environmental perturbations.<br />

Figure 1: Left: Two-dimensional projection of the velocities<br />

of the individual birds within a starling flock at a fixed instant<br />

of time. Right: The velocity fluctuations in the same flock<br />

at the same instant of time (vectors scaled for clarity). Large<br />

domains of strongly correlated birds are clearly visible.<br />

We found that the correlation is almost not decaying<br />

with the distance, and this is by far and large the<br />

most surprising and exotic feature of bird flocks. How<br />

starlings achieve such a strong correlation remains a<br />

mystery to us.<br />

References<br />

1. M. Ballerini, et al., PNAS 105, 1232 (2008).<br />

2. M. Ballerini, et al., Animal Behaviour 76, 201 (2008).<br />

3. A. Cavagna, et al., Animal Behaviour 76, 237 (2008).<br />

Authors<br />

N. Cabibbo, A. Cavagna 3 , A. Cimarelli, R. Chandelier,<br />

I. Giardina 3 , G. Parisi, A. Procaccini, R. Santagati, F.<br />

Stefanini, M. Viale<br />

<strong>Sapienza</strong> Università di Roma 66 Dipartimento di Fisica

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