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2015 ; 11
(12
): e1004522
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Locust Collective Motion and Its Modeling
#MMPMID26656851
Ariel G
; Ayali A
PLoS Comput Biol
2015[Dec]; 11
(12
): e1004522
PMID26656851
show ga
Over the past decade, technological advances in experimental and animal tracking
techniques have motivated a renewed theoretical interest in animal collective
motion and, in particular, locust swarming. This review offers a comprehensive
biological background followed by comparative analysis of recent models of locust
collective motion, in particular locust marching, their settings, and underlying
assumptions. We describe a wide range of recent modeling and simulation
approaches, from discrete agent-based models of self-propelled particles to
continuous models of integro-differential equations, aimed at describing and
analyzing the fascinating phenomenon of locust collective motion. These modeling
efforts have a dual role: The first views locusts as a quintessential example of
animal collective motion. As such, they aim at abstraction and coarse-graining,
often utilizing the tools of statistical physics. The second, which originates
from a more biological perspective, views locust swarming as a scientific problem
of its own exceptional merit. The main goal should, thus, be the analysis and
prediction of natural swarm dynamics. We discuss the properties of swarm dynamics
using the tools of statistical physics, as well as the implications for
laboratory experiments and natural swarms. Finally, we stress the importance of a
combined-interdisciplinary, biological-theoretical effort in successfully
confronting the challenges that locusts pose at both the theoretical and
practical levels.
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