Evidence map›Paper›PMID 33837080›Full record

ArticleScience advances2021

Intermittent inverse-square Lévy walks are optimal for finding targets of all sizes.

Brieuc Guinard, Amos Korman

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Socioeconomic Gauging of Brown and Levy Power Motions.Entropy (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Brown and Levy Steady-State Motions.Entropy (Basel, Switzerland) · 2025
    Article
  4. Levy Noise Affects Ornstein-Uhlenbeck Memory.Entropy (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Article
  7. Fluctuating landscapes and heavy tails in animal behavior.bioRxiv : the preprint server for biology · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. 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.

Brieuc GuinardIRIF, CNRS and University of Paris, Paris, France.ORCID http://orcid.org/0000-0001-6344-6817
Amos KormanIRIF, CNRS and University of Paris, Paris, France. amos.korman@irif.fr.ORCID http://orcid.org/0000-0001-8652-9228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lévy walks are random walk processes whose step lengths follow a long-tailed power-law distribution. Because of their abundance as movement patterns of biological organisms, substantial theoretical efforts have been devoted to identifying the foraging circumstances that would make such patterns advantageous. However, despite extensive research, there is currently no mathematical proof indicating that Lévy walks are, in any manner, preferable strategies in higher dimensions than one. Here, we prove that in finite two-dimensional terrains, the inverse-square Lévy walk strategy is extremely efficient at finding sparse targets of arbitrary size and shape. Moreover, this holds even under the weak model of intermittent detection. Conversely, any other intermittent Lévy walk fails to efficiently find either large targets or small ones. Our results shed new light on the Lévy foraging hypothesis and are thus expected to affect future experiments on animals performing Lévy walks.

Identifiers

PMID33837080
PMCPMC8034848

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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.