Evidence map›Paper›PMID 19626006›Full record

ArticleNature2009

Phase-locking and environmental fluctuations generate synchrony in a predator-prey community.

David A Vasseur, Jeremy W Fox

Abstract read
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In one paragraph

Article in Nature, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 149 citations in OpenAlex.

  1. Article
  2. Phenology-informed decline risk of estuarine fishes and their prey suggests potential for future trophic mismatches.Ecological applications : a publication of the Ecological Society of America · 2025
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  3. Review
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  7. Dynamical Ising model of spatially coupled ecological oscillators.Journal of the Royal Society, Interface · 2020
    Article
  8. Hidden similarities in the dynamics of a weakly synchronous marine metapopulation.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Scale-dependent portfolio effects explain growth inflation and volatility reduction in landscape demography.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  13. Center of mass in complex networks.Scientific reports · 2017
    Article
  14. Article
  15. Article
  16. Light-driven synchrony of Prochlorococcus growth and mortality in the subtropical Pacific gyre.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  17. Article
  18. Article
  19. 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

2 authors at 2 institutions in 2 countries.

David A VasseurDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06520, USA. david.vasseur@yale.edu
Jeremy W Fox
University of Calgary · CAYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatially synchronized fluctuations in system state are common in physical and biological systems ranging from individual atoms to species as diverse as viruses, insects and mammals. Although the causal factors are well known for many synchronized phenomena, several processes concurrently have an impact on spatial synchrony of species, making their separate effects and interactions difficult to quantify. Here we develop a general stochastic model of predator-prey spatial dynamics to predict the outcome of a laboratory microcosm experiment testing for interactions among all known synchronizing factors: (1) dispersal of individuals between populations; (2) spatially synchronous fluctuations in exogenous environmental factors (the Moran effect); and (3) interactions with other species (for example, predators) that are themselves spatially synchronized. The Moran effect synchronized populations of the ciliate protist Tetrahymena pyriformis; however, dispersal only synchronized prey populations in the presence of the predator Euplotes patella. Both model and data indicate that synchrony depends on cyclic dynamics generated by the predator. Dispersal, but not the Moran effect, 'phase-locks' cycles, which otherwise become 'decoherent' and drift out of phase. In the absence of cycles, phase-locking is not possible and the synchronizing effect of dispersal is negligible. Interspecific interactions determine population synchrony, not by providing an additional source of synchronized fluctuations, but by altering population dynamics and thereby enhancing the action of dispersal. Our results are robust to wide variation in model parameters representative of many natural predator-prey or host-pathogen systems. This explains why cyclic systems provide many of the most dramatic examples of spatial synchrony in nature.

Indexed as

Food ChainAnimalsEuplotesModels, BiologicalPopulation DynamicsPredatory BehaviorStochastic ProcessesTetrahymena pyriformis

Identifiers

PMID19626006
OpenAlexW2049728307

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.