ArticleInterface focus2012
Using field data to test locust migratory band collective movement models.
Article in Interface focus, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 45 citations in OpenAlex.
- Including population and environmental dynamic heterogeneities in continuum models of collective behaviour with applications to locust foraging and group structure.PLoS computational biology · 2025Article
- Non-local interaction in discrete Ricci curvature-induced biological aggregation.Royal Society open science · 2024Article
- Anisotropic interaction and motion states of locusts in a hopper band.Proceedings. Biological sciences · 2024Article
- Article
- Field bands of marching locust juveniles show carbohydrate, not protein, limitation.Current research in insect science · 2023Article
- Modelling locust foraging: How and why food affects group formation.PLoS computational biology · 2021Article
- Non-local interactions in collective motion.Royal Society open science · 2021Article
- Detection and characterization of chemotaxis without cell tracking.Journal of the Royal Society, Interface · 2021Article
- Agent-based and continuous models of hopper bands for the Australian plague locust: How resource consumption mediates pulse formation and geometry.PLoS computational biology · 2020Article
- Local interactions and their group-level consequences in flocking jackdaws.Proceedings. Biological sciences · 2019Article
- Sounds and hydrodynamics of polar active fluids.Nature materials · 2018Article
- Collective movement in ecology: from emerging technologies to conservation and management.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Article
- Understanding how animal groups achieve coordinated movement.The Journal of experimental biology · 2016Review
- Both Nearest Neighbours and Long-term Affiliates Predict Individual Locations During Collective Movement in Wild Baboons.Scientific reports · 2016Article
- Locust Collective Motion and Its Modeling.PLoS computational biology · 2015Review
- Intermittent collective dynamics emerge from conflicting imperatives in sheep herds.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- On the duality between interaction responses and mutual positions in flocking and schooling.Movement ecology · 2014Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wingless locust nymphs can form massive migratory groups known as bands, whose coordinated movement results from local interactions. We analysed the spatial distribution of locusts within naturally occurring bands and compared them with computer simulations to infer which interaction rules are used by individuals. We found that the empirical radial distribution of neighbours around a focal individual was isotropic, indicating a tendency for locusts to interact with neighbours all around them, rather than a bias towards pursuing individuals ahead or escaping from the ones following behind. By using maps of neighbour densities and pair correlation functions, we found evidence for a short-range repulsion force, balanced by a clustering force, presumably alignment and/or attraction, at a distance of around 3 cm. These results were similar to those observed when using a 'zonal' self-propelled particles model where repulsion/alignment/attraction forces are delimited by concentric circular zones of set radii. However, the profiles obtained either by using different combinations of forces, limiting the number of neighbours involved in interactions, or by varying the range of some zones, all appeared to produce similar results, thereby limiting the ability to more precisely determine the rules underlying locust interactions.
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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.