Similarities between insect swarms and isothermal globular clusters

@article{Gorbonos2020SimilaritiesBI,
  title={Similarities between insect swarms and isothermal globular clusters},
  author={Dan Gorbonos and Kasper van der Vaart and Michael Sinhuber and James G. Puckett and Andy M. Reynolds and Nicholas T. Ouellette and Nir S. Gov},
  journal={Physical Review Research},
  year={2020}
}
Previous work has suggested that disordered swarms of flying insects can be well modeled as selfgravitating systems, as long as the “gravitational” interaction is adaptive. Motivated by this work we compare the predictions of the classic, mean-field King model for isothermal globular clusters to observations of insect swarms. Detailed numerical simulations of regular and adaptive gravity allow us to expose the features of the swarms’ density and velocity profiles that are due to longrange… 

Figures from this paper

Insect swarms can be bound together by repulsive forces
  • A. Reynolds
  • Physics
    The European physical journal. E, Soft matter
  • 2020
TLDR
It is shown how individuals reduce the potential for the loose of flight control by minimizing the influence of jerks to which they are subjected, and adds to the growing realization that insect swarms are analogous to self-gravitating systems.
Understanding the thermodynamic properties of insect swarms
TLDR
It is shown how the effective interactions can be attributed to the swarms’ internal structure, the external perturbations and to the presence of intrinsic noise, which is known to be crucial for the emergence of the macroscopic mechanical properties of insect swarms is also crucial for their thermodynamic properties as encapsulated by their equation of state.
A physics perspective on collective animal behavior
TLDR
This review surveys the availability of high-quality empirical data for the behavior of animal groups both in the laboratory and in the wild and describes how physicists have approached synthesizing, modeling, and interpreting this information, both at the level of individual animals and at the group scale.
Goals and Limitations of Modeling Collective Behavior in Biological Systems
TLDR
It is argued that models of collective behavior that are aimed at understanding real biological systems should be formulated to address specific questions and to allow for validation, and that different research questions about these systems have led to different modeling approaches.
Intrinsic stochasticity and the emergence of collective behaviours in insect swarms
  • A. Reynolds
  • Physics
    The European physical journal. E, Soft matter
  • 2021
TLDR
It is shown how intrinsic multiplicative noise allows for the nucleation of swarms away from prominent visual features known as swarm markers, and is shown that these newly identified states are analogous to interstellar clouds and extend a long-standing analogy between insect swarms and self-gravitating systems.
Pair formation in insect swarms driven by adaptive long-range interactions
TLDR
It is shown that pair formation can indeed occur without the introduction of additional behavioural rules, and the results suggest that pairing should appear generally in biological systems with long-range attraction and adaptive sensing, such as during chemotaxis-driven cellular swarming.
Rothamsted Repository Download
[ 1 ] What is the most appropriate sampling scheme to estimate event-based average throughfall? A satisfactory answer to this seemingly simple question has yet to be found, a failure which we

References

SHOWING 1-10 OF 28 REFERENCES
On the origin of the tensile strength of insect swarms
TLDR
It is shown that swarms of flying insects have macroscopic mechanical properties similar to solids, including a finite Young's modulus and yield strength, and that the emergence of these solid-like properties can be attributed to centre-of-mass movements (heat).
Searching for effective forces in laboratory insect swarms
TLDR
The results suggest that some attractive interaction maintains cohesion of the swarms, but that this interaction is not as simple as an attraction to nearest neighbours.
Are midge swarms bound together by an effective velocity-dependent gravity?
TLDR
It is shown that the observed kinematics implies that individual attraction to the swarm centre increases linearly with distance from the Swarm centre, and that this attraction also increases with an individual's flight speed.
Emergent dynamics of laboratory insect swarms
TLDR
Three-dimensional, time-resolved measurements of the positions, velocities, and accelerations of individual insects in laboratory swarms of the midge Chironomus riparius show that the swarms display an effective large-scale potential that keeps individuals bound together, and characterize the shape of this potential.
Long-range acoustic interactions in insect swarms: an adaptive gravity model
TLDR
This work exploits the similarity in form between the decay of acoustic and gravitational sources to build a model for swarm behavior and shows that the ‘adaptive gravity’ model makes mean-field predictions that agree well with experimental observations of laboratory swarms.
Determining asymptotically large population sizes in insect swarms
TLDR
These findings support the feasibility of using swarms as a design template for multi-agent systems, because self-organized states are possible even with few agents, and provide a strong constraint on how rapidly swarm models must produce collective states.
Stable swarming using adaptive long-range interactions.
TLDR
The effects of adaptivity inside the swarm are dramatic, where the effective forces decrease (or remain constant) with increasing swarm density, and Adaptivity therefore endows swarms with a natural mechanism for self-stabilization.
Response of insect swarms to dynamic illumination perturbations
TLDR
It is found that not only do individuals in the swarm respond to light changes by speeding up during brighter conditions but also the swarm as a whole responds to these perturbations by compressing and simultaneously increasing the attraction of individual midges to its centre of mass.
Dynamical aspects of animal grouping: swarms, schools, flocks, and herds.
  • A. Ōkubo
  • Biology, Medicine
    Advances in biophysics
  • 1986
Three-dimensional time-resolved trajectories from laboratory insect swarms
TLDR
A data set of three-dimensional, time-resolved trajectories, including positions, velocities, and accelerations, of individual insects in laboratory insect swarms is provided to study the collective as a whole as well as the dynamics and behaviour of individuals within the swarm.
...
...