Evidence map›Paper›PMID 26544687›Full record

ArticlePLoS computational biology2015

Lévy Walks Suboptimal under Predation Risk.

Masato S Abe, Masakazu Shimada

Abstract read
In one paragraph

Article 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Functional advantages of Lévy walks emerging near a critical point.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The evolutionary origins of Lévy walk foraging.PLoS computational biology · 2017
    Article
  8. Optimizing mating encounters by sexually dimorphic movements.Journal of the Royal Society, Interface · 2017
    Article
  9. Article
  10. Virtual prey with Lévy motion are preferentially attacked by predatory fish.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    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

2 authors.

Masato S AbeDepartment of General Systems Studies, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.
Masakazu ShimadaDepartment of General Systems Studies, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key challenge in movement ecology is to understand how animals move in nature. Previous studies have predicted that animals should perform a special class of random walks, called Lévy walk, to obtain more targets. However, some empirical studies did not support this hypothesis, and the relationship between search strategy and ecological factors is still unclear. We focused on ecological factors, such as predation risk, and analyzed whether Lévy walk may not be favored. It was remarkable that the ecological factors often altered an optimal search strategy from Lévy walk to Brownian walk, depending on the speed of the predator's movement, density of predators, etc. This occurred because higher target encounter rates simultaneously led searchers to higher predation risks. Our findings indicate that animals may not perform Lévy walks often, and we suggest that it is crucial to consider the ecological context for evaluating the search strategy performed by animals in the field.

Indexed as

Models, BiologicalAlgorithmsAnimalsComputational BiologyComputer SimulationMovementPredatory BehaviorRisk

Identifiers

PMID26544687
PMCPMC4636162

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.