Evidence map›Paper›PMID 34229460›Full record

ArticleJournal of the Royal Society, Interface2021

Effects of stochasticity on the length and behaviour of ecological transients.

Alan Hastings, Karen C Abbott, Kim Cuddington, Tessa B Francis, Ying-Cheng Lai, Andrew Morozov, Sergei Petrovskii, Mary Lou Zeeman

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Functional motifs in food webs and networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
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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

8 authors.

Alan HastingsDepartment of Environmental Science and Policy, University of California, Davis, CA 95616, USA.
Karen C AbbottDepartment of Biology, Case Western Reserve University, Cleveland, OH 44106, USA.
Kim CuddingtonDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1.
Tessa B FrancisPuget Sound Institute, University of Washington Tacoma, Tacoma, WA 98421, USA.
Ying-Cheng LaiSchool of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA.
Andrew MorozovSchool of Mathematics and Actuarial Science, University of Leicester, Leicester LE1 7RH, UK.
Sergei PetrovskiiSchool of Mathematics and Actuarial Science, University of Leicester, Leicester LE1 7RH, UK.
Mary Lou ZeemanDepartment of Mathematics, Bowdoin College, Brunswick, ME 04011, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing recognition that ecological systems can spend extended periods of time far away from an asymptotic state, and that ecological understanding will therefore require a deeper appreciation for how long ecological transients arise. Recent work has defined classes of deterministic mechanisms that can lead to long transients. Given the ubiquity of stochasticity in ecological systems, a similar systematic treatment of transients that includes the influence of stochasticity is important. Stochasticity can of course promote the appearance of transient dynamics by preventing systems from settling permanently near their asymptotic state, but stochasticity also interacts with deterministic features to create qualitatively new dynamics. As such, stochasticity may shorten, extend or fundamentally change a system's transient dynamics. Here, we describe a general framework that is developing for understanding the range of possible outcomes when random processes impact the dynamics of ecological systems over realistic time scales. We emphasize that we can understand the ways in which stochasticity can either extend or reduce the lifetime of transients by studying the interactions between the stochastic and deterministic processes present, and we summarize both the current state of knowledge and avenues for future advances.

Indexed as

EcosystemForecastingHumansPopulation DynamicsStochastic Processespopulation dynamicsstochasticitytransient

Identifiers

PMID34229460
PMCPMC8261213

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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.