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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2012-01-01
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Series: | PLoS Computational Biology |
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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 |
work_keys_str_mv |
AT chadmtopaz locustdynamicsbehavioralphasechangeandswarming AT mariardorsogna locustdynamicsbehavioralphasechangeandswarming AT leahedelsteinkeshet locustdynamicsbehavioralphasechangeandswarming AT andrewjbernoff locustdynamicsbehavioralphasechangeandswarming |
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