Evidence map›Paper›PMID 22589707›Full record

ArticlePLoS computational biology2012

Intermittent motion in desert locusts: behavioural complexity in simple environments.

Sepideh Bazazi, Frederic Bartumeus, Joseph J Hale, Iain D Couzin

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–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

49 citing papers in PubMed.

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  15. Lévy Walk in Swarm Models Based on Bayesian and Inverse Bayesian Inference.Computational and structural biotechnology journal · 2021
    Article
  16. Review
  17. Article
  18. Post-contact immobility and half-lives that save lives.Proceedings. Biological sciences · 2020
    Article
  19. Four-Types of IIT-Induced Group Integrity ofEntropy (Basel, Switzerland) · 2020
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sepideh BazaziDepartment of Zoology, University of Oxford, Oxford, United Kingdom. sbazazi@gmail.com
Frederic Bartumeus
Joseph J Hale
Iain D Couzin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animals can exhibit complex movement patterns that may be the result of interactions with their environment or may be directly the mechanism by which their behaviour is governed. In order to understand the drivers of these patterns we examine the movement behaviour of individual desert locusts in a homogenous experimental arena with minimal external cues. Locust motion is intermittent and we reveal that as pauses become longer, the probability that a locust changes direction from its previous direction of travel increases. Long pauses (of greater than 100 s) can be considered reorientation bouts, while shorter pauses (of less than 6 s) appear to act as periods of resting between displacements. We observe power-law behaviour in the distribution of move and pause lengths of over 1.5 orders of magnitude. While Lévy features do exist, locusts' movement patterns are more fully described by considering moves, pauses and turns in combination. Further analysis reveals that these combinations give rise to two behavioural modes that are organized in time: local search behaviour (long exploratory pauses with short moves) and relocation behaviour (long displacement moves with shorter resting pauses). These findings offer a new perspective on how complex animal movement patterns emerge in nature.

Indexed as

CrowdingEcosystemModels, BiologicalAnimalsBehavior, AnimalComputer SimulationGaitGrasshoppersLocomotionModels, Statistical

Identifiers

PMID22589707
PMCPMC3349720

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.