Evidence map›Paper›PMID 22072951›Full record

ArticlePLoS computational biology2011

How landscape heterogeneity frames optimal diffusivity in searching processes.

E P Raposo, F Bartumeus, M G E da Luz, P J Ribeiro-Neto, T A Souza, G M Viswanathan

Abstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Optimal random search using limited spatial memory.Royal Society open science · 2018
    Article
  4. The topography of the environment alters the optimal search strategy for active particles.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  5. The evolutionary origins of Lévy walk foraging.PLoS computational biology · 2017
    Article
  6. Article
  7. Lévy Walks Suboptimal under Predation Risk.PLoS computational biology · 2015
    Article
  8. Extending Lévy search theory from one to higher dimensions: Lévy walking favours the blind.Proceedings. Mathematical, physical, and engineering sciences · 2015
    Article
  9. Article
  10. Article
  11. Optimal Lévy-flight foraging in a finite landscape.Journal of the Royal Society, Interface · 2015
    Article
  12. Hierarchical random walks in trace fossils and the origin of optimal search behavior.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  13. Article
  14. Article
  15. Evidence of Levy walk foraging patterns in human hunter-gatherers.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  16. Article
  17. Article
  18. Article
  19. 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

6 authors.

E P RaposoLaboratório de Física Teórica e Computacional, Departamento de Física, Universidade Federal de Pernambuco, Recife, Brazil. ernesto@df.ufpe.br
F Bartumeus
M G E da Luz
P J Ribeiro-Neto
T A Souza
G M Viswanathan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Theoretical and empirical investigations of search strategies typically have failed to distinguish the distinct roles played by density versus patchiness of resources. It is well known that motility and diffusivity of organisms often increase in environments with low density of resources, but thus far there has been little progress in understanding the specific role of landscape heterogeneity and disorder on random, non-oriented motility. Here we address the general question of how the landscape heterogeneity affects the efficiency of encounter interactions under global constant density of scarce resources. We unveil the key mechanism coupling the landscape structure with optimal search diffusivity. In particular, our main result leads to an empirically testable prediction: enhanced diffusivity (including superdiffusive searches), with shift in the diffusion exponent, favors the success of target encounters in heterogeneous landscapes.

Indexed as

Behavior, AnimalEcosystemAnimalsComputational BiologyConservation of Natural ResourcesFeeding BehaviorModels, Biological

Identifiers

PMID22072951
PMCPMC3207935

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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.