Evidence map›Paper›PMID 25024221›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Hierarchical random walks in trace fossils and the origin of optimal search behavior.

David W Sims, Andrew M Reynolds, Nicolas E Humphries, Emily J Southall, Victoria J Wearmouth, Brett Metcalfe, Richard J Twitchett

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

35 citing papers in PubMed, 113 citations in OpenAlex.

  1. Article
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  4. Size-dependent self-avoidance enables superdiffusive migration in macroscopic unicellulars.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  5. Fluctuating landscapes and heavy tails in animal behavior.bioRxiv : the preprint server for biology · 2023
    Article
  6. Article
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  8. Article
  9. Weierstrassian Lévy walks are a by-product of crawling.The European physical journal. E, Soft matter · 2021
    Article
  10. Article
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  12. The growth and form of knowledge networks by kinesthetic curiosity.Current opinion in behavioral sciences · 2020
    Article
  13. Article
  14. Resynthesizing behavior through phylogenetic refinement.Attention, perception & psychophysics · 2019
    Article
  15. Inferring collective behaviour from a fossilized fish shoal.Proceedings. Biological sciences · 2019
    Article
  16. Article
  17. Article
  18. Optimal random search using limited spatial memory.Royal Society open science · 2018
    Article
  19. Article
  20. Review
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

7 authors at 4 institutions in 2 countries.

David W SimsMarine Biological Association of the United Kingdom, Plymouth PL1 2PB, United Kingdom;Ocean and Earth Science, National Oceanography Centre Southampton, University of Southampton, Waterfront Campus, Southampton SO14 3ZH, United Kingdom;Centre for Biological Sciences, University of Southampton, Highfield Campus, Southampton SO17 1BJ, United Kingdom; dws@mba.ac.uk.
Andrew M ReynoldsRothamsted Research, Harpenden, Hertfordshire AL5 2JQ, United Kingdom;
Nicolas E HumphriesMarine Biological Association of the United Kingdom, Plymouth PL1 2PB, United Kingdom;
Emily J SouthallMarine Biological Association of the United Kingdom, Plymouth PL1 2PB, United Kingdom;
Victoria J WearmouthMarine Biological Association of the United Kingdom, Plymouth PL1 2PB, United Kingdom;
Brett MetcalfeEarth and Climate Cluster, Faculty of Earth and Life Sciences, VU University Amsterdam, 1081 HV, Amsterdam, The Netherlands; and.
Richard J TwitchettDepartment of Earth Sciences, The Natural History Museum, London SW7 5BD, United Kingdom.
Marine Biological Association of the United Kingdom · GBNatural History Museum · GBRothamsted Research · GBVrije Universiteit Amsterdam · NL

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Efficient searching is crucial for timely location of food and other resources. Recent studies show that diverse living animals use a theoretically optimal scale-free random search for sparse resources known as a Lévy walk, but little is known of the origins and evolution of foraging behavior and the search strategies of extinct organisms. Here, using simulations of self-avoiding trace fossil trails, we show that randomly introduced strophotaxis (U-turns)--initiated by obstructions such as self-trail avoidance or innate cueing--leads to random looping patterns with clustering across increasing scales that is consistent with the presence of Lévy walks. This predicts that optimal Lévy searches may emerge from simple behaviors observed in fossil trails. We then analyzed fossilized trails of benthic marine organisms by using a novel path analysis technique and find the first evidence, to our knowledge, of Lévy-like search strategies in extinct animals. Our results show that simple search behaviors of extinct animals in heterogeneous environments give rise to hierarchically nested Brownian walk clusters that converge to optimal Lévy patterns. Primary productivity collapse and large-scale food scarcity characterizing mass extinctions evident in the fossil record may have triggered adaptation of optimal Lévy-like searches. The findings suggest that Lévy-like behavior has been used by foragers since at least the Eocene but may have a more ancient origin, which might explain recent widespread observations of such patterns among modern taxa.

Indexed as

Appetitive BehaviorFossilsModels, TheoreticalBrownian motionclimate changescale invariancesuperdiffusion

Identifiers

PMID25024221
PMCPMC4121825
OpenAlexW2016281380

What OpenQuestion holds

Textmetadata
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.