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Related Concept Videos

Migration00:53

Migration

Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
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Amoebozoa represent a diverse group of terrestrial and aquatic protists that utilize lobe-shaped pseudopodia for locomotion and feeding. This characteristic differentiates them from the Rhizaria, which possess threadlike pseudopodia. The primary classifications within Amoebozoa include gymnamoebas, entamoebas, and the plasmodial and cellular slime molds. Phylogenetic evidence indicates that Amoebozoa diverged from a lineage that ultimately gave rise to fungi and animals.Gymnamoebas and...

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Related Experiment Video

Updated: May 19, 2026

Multi-unit Recording Methods to Characterize Neural Activity in the Locust (Schistocerca Americana) Olfactory Circuits
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Multi-unit Recording Methods to Characterize Neural Activity in the Locust (Schistocerca Americana) Olfactory Circuits

Published on: January 25, 2013

Locust dynamics: behavioral phase change and swarming.

Chad M Topaz1, Maria R D'Orsogna, Leah Edelstein-Keshet

  • 1Department of Mathematics, Statistics, and Computer Science, Macalester College, Saint Paul, Minnesota, United States of America. ctopaz@macalester.edu

Plos Computational Biology
|August 24, 2012
PubMed
Summary
This summary is machine-generated.

This study models locust phase change, revealing conditions for mass gregarization and hopper band formation. Mathematical predictions offer insights into locust aggregation dynamics and potential future experiments.

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Area of Science:

  • Ecology
  • Mathematical Biology
  • Zoology

Background:

  • Locusts display two phases: solitarious (repelled by others) and gregarious (attracted to others).
  • Crowding influences individual locusts to shift towards the gregarious phase.
  • Understanding collective behavior is key to predicting locust aggregation, like marching hopper bands.

Purpose of the Study:

  • To investigate locust phase change and hopper band formation at a population level.
  • To develop a quantitative framework for predicting mass gregarization events.
  • To analyze the dynamics of collective locust behavior.

Main Methods:

  • Construction of a partial integrodifferential equation model.
  • Incorporation of individual-level phase change and spatial movement.
  • Stability analysis and model reduction for quantitative predictions.
  • Numerical simulations to visualize aggregation structure and dynamics.

Main Results:

  • Identification of conditions leading to locust outbreaks and large-scale gregarization.
  • Quantification of temporal dynamics for each phase and population gregarization.
  • Estimation of the time scale for mass gregarization.
  • Observation of transiently traveling clumps within simulated aggregations.

Conclusions:

  • The model successfully predicts locust aggregation and mass gregarization.
  • Mathematical framework provides insights into collective phase transitions.
  • Findings suggest avenues for future biological experiments on locust behavior.