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Intermittent Motion in Desert Locusts: Behavioural Complexity in Simple Environments

Overview of attention for article published in PLoS Computational Biology, May 2012
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Title
Intermittent Motion in Desert Locusts: Behavioural Complexity in Simple Environments
Published in
PLoS Computational Biology, May 2012
DOI 10.1371/journal.pcbi.1002498
Pubmed ID
Authors

Sepideh Bazazi, Frederic Bartumeus, Joseph J. Hale, Iain D. Couzin

Abstract

Animals can exhibit complex movement patterns that may be the result of interactions with their environment or may be directly the mechanism by which their behaviour is governed. In order to understand the drivers of these patterns we examine the movement behaviour of individual desert locusts in a homogenous experimental arena with minimal external cues. Locust motion is intermittent and we reveal that as pauses become longer, the probability that a locust changes direction from its previous direction of travel increases. Long pauses (of greater than 100 s) can be considered reorientation bouts, while shorter pauses (of less than 6 s) appear to act as periods of resting between displacements. We observe power-law behaviour in the distribution of move and pause lengths of over 1.5 orders of magnitude. While Lévy features do exist, locusts' movement patterns are more fully described by considering moves, pauses and turns in combination. Further analysis reveals that these combinations give rise to two behavioural modes that are organized in time: local search behaviour (long exploratory pauses with short moves) and relocation behaviour (long displacement moves with shorter resting pauses). These findings offer a new perspective on how complex animal movement patterns emerge in nature.

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Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 2%
Germany 1 <1%
Portugal 1 <1%
Israel 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 114 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 27%
Student > Ph. D. Student 25 20%
Student > Master 10 8%
Professor > Associate Professor 9 7%
Professor 7 6%
Other 14 11%
Unknown 25 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 39%
Physics and Astronomy 13 11%
Environmental Science 8 7%
Neuroscience 7 6%
Engineering 5 4%
Other 14 11%
Unknown 28 23%