Evidence map›Paper›PMID 28270622›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Black-swan events in animal populations.

Sean C Anderson, Trevor A Branch, Andrew B Cooper, Nicholas K Dulvy

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Early Warning Signals in Ecological Time-Series.Entropy (Basel, Switzerland) · 2026
    Review
  2. First Record of Dark-sided Flycatcher (Ecology and evolution · 2026
    Article
  3. Article
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  13. Early effects of COVID-19 on US fisheries and seafood consumption.Fish and fisheries (Oxford, England) · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Weakened portfolio effects constrain management effectiveness for population aggregates.Ecological applications : a publication of the Ecological Society of America · 2019
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sean C AndersonEarth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, BC V5A 1S6, Canada; sandrsn@uw.edu.ORCID 0000-0001-9563-1937
Trevor A BranchSchool of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98195.
Andrew B CooperSchool of Resource and Environmental Management, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
Nicholas K DulvyEarth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.ORCID 0000-0002-4295-9725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Black swans are improbable events that nonetheless occur-often with profound consequences. Such events drive important transitions in social systems (e.g., banking collapses) and physical systems (e.g., earthquakes), and yet it remains unclear the extent to which ecological population numbers buffer or suffer from such extremes. Here, we estimate the prevalence and direction of black-swan events (heavy-tailed process noise) in 609 animal populations after accounting for population dynamics (productivity, density dependence, and typical stochasticity). We find strong evidence for black-swan events in [Formula: see text]4% of populations. These events occur most frequently for birds (7%), mammals (5%), and insects (3%) and are not explained by any life-history covariates but tend to be driven by external perturbations such as climate, severe winters, predators, parasites, or the combined effect of multiple factors. Black-swan events manifest primarily as population die-offs and crashes (86%) rather than unexpected increases, and ignoring heavy-tailed process noise leads to an underestimate in the magnitude of population crashes. We suggest modelers consider heavy-tailed, downward-skewed probability distributions, such as the skewed Student [Formula: see text] used here, when making forecasts of population abundance. Our results demonstrate the importance of both modeling heavy-tailed downward events in populations, and developing conservation strategies that are robust to ecological surprises.

Indexed as

AnseriformesAnimalsMammalsModels, TheoreticalPopulation Dynamicsdie-offsecological riskecological surprisesmass mortalitypopulation dynamics

Identifiers

PMID28270622
PMCPMC5373335

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.