Evidence map›Paper›PMID 34232964›Full record

ArticlePLoS computational biology2021

Modelling locust foraging: How and why food affects group formation.

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

Erratum issuedAbstract read
In one paragraph

Article in PLoS computational biology, 2021. 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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Aggregation-diffusion in heterogeneous environments.Journal of mathematical biology · 2025
    Article
  5. Article
  6. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Fillipe GeorgiouSchool of Mathematical and Physical Sciences, University of Newcastle, Callaghan, Australia.ORCID 0000-0003-4588-5319
Camille BuhlSchool of Agriculture, Food and Wine, University of Adelaide, Adelaide, Australia.ORCID 0000-0002-7506-6835
J E F GreenSchool of Mathematical Sciences, University of Adelaide, Adelaide, Australia.ORCID 0000-0001-5061-9563
Bishnu LamichhaneSchool of Mathematical and Physical Sciences, University of Newcastle, Callaghan, Australia.ORCID 0000-0002-9184-8941
Ngamta ThamwattanaSchool of Mathematical and Physical Sciences, University of Newcastle, Callaghan, Australia.ORCID 0000-0001-9885-3287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Locusts are short horned grasshoppers that exhibit two behaviour types depending on their local population density. These are: solitarious, where they will actively avoid other locusts, and gregarious where they will seek them out. It is in this gregarious state that locusts can form massive and destructive flying swarms or plagues. However, these swarms are usually preceded by the aggregation of juvenile wingless locust nymphs. In this paper we attempt to understand how the distribution of food resources affect the group formation process. We do this by introducing a multi-population partial differential equation model that includes non-local locust interactions, local locust and food interactions, and gregarisation. Our results suggest that, food acts to increase the maximum density of locust groups, lowers the percentage of the population that needs to be gregarious for group formation, and decreases both the required density of locusts and time for group formation around an optimal food width. Finally, by looking at foraging efficiency within the numerical experiments we find that there exists a foraging advantage to being gregarious.

Indexed as

Models, BiologicalAnimalsAppetitive BehaviorComputational BiologyCrowdingFeeding BehaviorGrasshoppersNymph

Identifiers

PMID34232964
PMCPMC8289112

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Registered trials

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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.