Evidence map›Paper›PMID 40233299›Full record

ArticlePLoS computational biology2025

Including population and environmental dynamic heterogeneities in continuum models of collective behaviour with applications to locust foraging and group structure.

Fillipe Georgiou, Camille Buhl, J E F Green, Bishnu Lamichhane, Ngamta Thamwattana

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Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Noise-induced collective memory in schooling fish.Bioinspiration & biomimetics · 2026
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fillipe GeorgiouInstitute for Mathematical Innovation, University of Bath, Bath, United Kingdom.ORCID 0000-0003-4588-5319
Camille BuhlSchool of Agriculture, Food and Wine, University of Adelaide, Adelaide, South Australia, Australia.
J E F GreenSchool of Computer and Mathematical Sciences, University of Adelaide, Adelaide, South Australia, Australia.
Bishnu LamichhaneSchool of Information and Physical Sciences, University of Newcastle, Callaghan, New South Wales, Australia.
Ngamta ThamwattanaSchool of Information and Physical Sciences, University of Newcastle, Callaghan, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collective behaviour occurs at all levels of the natural world, from cells aggregating to form tissues, to locusts interacting to form large and destructive plagues. These complex behaviours arise from relatively simple interactions amongst individuals and between individuals and their environment. For simplicity, mathematical models of these phenomena often assume that the population is homogeneous. However, population heterogeneity arising due to the internal state of individuals can affect these interactions and thus plays a role in the dynamics of group formation. In this paper, we present a partial differential equation model that accounts for this heterogeneity by introducing a state space that models an individual's internal state (e.g. age, level of hunger) which affects its movement characteristics. We then apply the model to a concrete example of locust foraging to investigate the dynamic interplay of food availability, hunger, and degree of gregarisation (level of sociability) on locust group formation and structure. We find that including hunger lowers group density and raises the percentage of the population that needs to be gregarious for group formation. Within the group structure itself we find that the most gregarious and satiated locusts tend to be located towards the centre with hunger driving locusts towards the edges of the group. These two effects may combine to give a simple mechanism for locust group dispersal, in that hunger lowers the group density, which in turn lowers the gregarisation, further lowering density and creating a feedback loop. We also note that a previously found optimal food patch size for group formation may be driven by hunger. In addition to our locust results, we provide more general results and methods in the attached appendices.

Indexed as

Behavior, AnimalFeeding BehaviorGrasshoppersModels, BiologicalSocial BehaviorAnimalsComputational BiologyComputer SimulationHungerPopulation Dynamics

Identifiers

PMID40233299
PMCPMC11999712

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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.