Locust dynamics: behavioral phase change and swarming.

Locusts exhibit two interconvertible behavioral phases, solitarious and gregarious. While solitarious individuals are repelled from other locusts, gregarious insects are attracted to conspecifics and can form large aggregations such as marching hopper bands. Numerous biological experiments at the in...

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Main Authors: Chad M Topaz, Maria R D'Orsogna, Leah Edelstein-Keshet, Andrew J Bernoff
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC3420939?pdf=render
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spelling doaj-61982a68ddfb416a990aaa93588c72312020-11-25T01:32:25ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582012-01-0188e100264210.1371/journal.pcbi.1002642Locust dynamics: behavioral phase change and swarming.Chad M TopazMaria R D'OrsognaLeah Edelstein-KeshetAndrew J BernoffLocusts exhibit two interconvertible behavioral phases, solitarious and gregarious. While solitarious individuals are repelled from other locusts, gregarious insects are attracted to conspecifics and can form large aggregations such as marching hopper bands. Numerous biological experiments at the individual level have shown how crowding biases conversion towards the gregarious form. To understand the formation of marching locust hopper bands, we study phase change at the collective level, and in a quantitative framework. Specifically, we construct a partial integrodifferential equation model incorporating the interplay between phase change and spatial movement at the individual level in order to predict the dynamics of hopper band formation at the population level. Stability analysis of our model reveals conditions for an outbreak, characterized by a large scale transition to the gregarious phase. A model reduction enables quantification of the temporal dynamics of each phase, of the proportion of the population that will eventually gregarize, and of the time scale for this to occur. Numerical simulations provide descriptions of the aggregation's structure and reveal transiently traveling clumps of gregarious insects. Our predictions of aggregation and mass gregarization suggest several possible future biological experiments.http://europepmc.org/articles/PMC3420939?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Chad M Topaz
Maria R D'Orsogna
Leah Edelstein-Keshet
Andrew J Bernoff
spellingShingle Chad M Topaz
Maria R D'Orsogna
Leah Edelstein-Keshet
Andrew J Bernoff
Locust dynamics: behavioral phase change and swarming.
PLoS Computational Biology
author_facet Chad M Topaz
Maria R D'Orsogna
Leah Edelstein-Keshet
Andrew J Bernoff
author_sort Chad M Topaz
title Locust dynamics: behavioral phase change and swarming.
title_short Locust dynamics: behavioral phase change and swarming.
title_full Locust dynamics: behavioral phase change and swarming.
title_fullStr Locust dynamics: behavioral phase change and swarming.
title_full_unstemmed Locust dynamics: behavioral phase change and swarming.
title_sort locust dynamics: behavioral phase change and swarming.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2012-01-01
description Locusts exhibit two interconvertible behavioral phases, solitarious and gregarious. While solitarious individuals are repelled from other locusts, gregarious insects are attracted to conspecifics and can form large aggregations such as marching hopper bands. Numerous biological experiments at the individual level have shown how crowding biases conversion towards the gregarious form. To understand the formation of marching locust hopper bands, we study phase change at the collective level, and in a quantitative framework. Specifically, we construct a partial integrodifferential equation model incorporating the interplay between phase change and spatial movement at the individual level in order to predict the dynamics of hopper band formation at the population level. Stability analysis of our model reveals conditions for an outbreak, characterized by a large scale transition to the gregarious phase. A model reduction enables quantification of the temporal dynamics of each phase, of the proportion of the population that will eventually gregarize, and of the time scale for this to occur. Numerical simulations provide descriptions of the aggregation's structure and reveal transiently traveling clumps of gregarious insects. Our predictions of aggregation and mass gregarization suggest several possible future biological experiments.
url http://europepmc.org/articles/PMC3420939?pdf=render
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AT leahedelsteinkeshet locustdynamicsbehavioralphasechangeandswarming
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