ReviewPLoS computational biology2015
Locust Collective Motion and Its Modeling.
Review in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed.
- A Novel Light-Induced Collective Circular Movement inEcology and evolution · 2026Article
- Consensus Formation and Change are Enhanced by Neutrality.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Neural Bases of Collective Social Behavior and Group Interactions across Species.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Review
- The Evolution of Modeling Approaches: From Statistical Models to Deep Learning for Locust and Grasshopper Forecasting.Insects · 2026Review
- Nonreciprocal field theory for decision-making in multi-agent control systems.Nature communications · 2025Article
- Collective Behavior in Medaka Fish Depends on Discrete Kinematic States of Swimming Behavior.bioRxiv : the preprint server for biology · 2025Article
- Emergent Locomotion in Self-Sustained, Mechanically Connected Soft Matter Rings.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Maximal response to a mechanical leader at critical group size in ant collectives.Nature communications · 2025Article
- Swarms can be rational.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Including population and environmental dynamic heterogeneities in continuum models of collective behaviour with applications to locust foraging and group structure.PLoS computational biology · 2025Article
- The visual stimuli attributes instrumental for collective-motion-related decision-making in locusts.PNAS nexus · 2024Article
- A framework for modelling desert locust population dynamics and large-scale dispersal.PLoS computational biology · 2024Article
- Transcription FactorInternational journal of molecular sciences · 2024Article
- Exploration-exploitation model of moth-inspired olfactory navigation.Journal of the Royal Society, Interface · 2024Article
- Article
- Agent-based modeling of nuclear chromosome ensembles identifies determinants of homolog pairing during meiosis.PLoS computational biology · 2024Article
- Robust spatial self-organization in crowds of asynchronous pedestrians.Journal of the Royal Society, Interface · 2024Article
- Pausing to swarm: locust intermittent motion is instrumental for swarming-related visual processing.Biology letters · 2024Article
- Anisotropic interaction and motion states of locusts in a hopper band.Proceedings. Biological sciences · 2024Article
- Agent-based modeling of nuclear chromosome ensemble identifies determinants of homolog pairing during meiosis.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past decade, technological advances in experimental and animal tracking techniques have motivated a renewed theoretical interest in animal collective motion and, in particular, locust swarming. This review offers a comprehensive biological background followed by comparative analysis of recent models of locust collective motion, in particular locust marching, their settings, and underlying assumptions. We describe a wide range of recent modeling and simulation approaches, from discrete agent-based models of self-propelled particles to continuous models of integro-differential equations, aimed at describing and analyzing the fascinating phenomenon of locust collective motion. These modeling efforts have a dual role: The first views locusts as a quintessential example of animal collective motion. As such, they aim at abstraction and coarse-graining, often utilizing the tools of statistical physics. The second, which originates from a more biological perspective, views locust swarming as a scientific problem of its own exceptional merit. The main goal should, thus, be the analysis and prediction of natural swarm dynamics. We discuss the properties of swarm dynamics using the tools of statistical physics, as well as the implications for laboratory experiments and natural swarms. Finally, we stress the importance of a combined-interdisciplinary, biological-theoretical effort in successfully confronting the challenges that locusts pose at both the theoretical and practical levels.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.