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Cited by 1,150

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

From Disorder to Order in Marching Locusts

Buhl, J., Sumpter, D. J. T., Couzin, I. D., Hale, J. J., Despland, E., Miller, E. R., Simpson, S. J.·2006·Science

Abstract

Recent models from theoretical physics have predicted that mass-migrating animal groups may share group-level properties, irrespective of the type of animals in the group. One key prediction is that as the density of animals in the group increases, a rapid transition occurs from disordered movement of individuals within the group to highly aligned collective motion. Understanding such a transition is crucial to the control of mobile swarming insect pests such as the desert locust. We confirmed the prediction of a rapid transition from disordered to ordered movement and identified a critical density for the onset of coordinated marching in locust nymphs. We also demonstrated a dynamic instability in motion at densities typical of locusts in the field, in which groups can switch direction without external perturbation, potentially facilitating the rapid transfer of directional information.

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Metadata

Authors
Buhl, J., Sumpter, D. J. T., Couzin, I. D., Hale, J. J., Despland, E., Miller, E. R., & Simpson, S. J.
Venue
Science
Published
2006-06-02
Volume
312
Issue
5778
Pages
1402-1406
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2097490641
Cited by
1,150
References
2
FWCI
49.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: From Disorder to Order in Marching Locusts. https://app.cochat.ai/papers/10.1126/science.1125142
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Buhl, J., Sumpter, D. J. T., Couzin, I. D., Hale, J. J., Despland, E., Miller, E. R., & Simpson, S. J. (2006). From Disorder to Order in Marching Locusts. Science. https://doi.org/10.1126/science.1125142

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.