Evidence map›Paper›PMID 28483871›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017

Learning from single extreme events.

Res Altwegg, Vernon Visser, Liam D Bailey, Birgit Erni

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Hail-induced mortality of Asian Openbill (Ecology and evolution · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Environmental catastrophes, climate change, and attribution.Annals of the New York Academy of Sciences · 2020
    Article
  11. Article
  12. Article
  13. Behavioural, ecological and evolutionary responses to extreme climatic events: challenges and directions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Article
  14. Climate change, climatic variation and extreme biological responses.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Article
  15. Effect of extreme sea surface temperature events on the demography of an age-structured albatross population.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Article
  16. Integrating plant ecological responses to climate extremes from individual to ecosystem levels.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    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

4 authors.

Res AltweggStatistics in Ecology, Environment and Conservation, Department of Statistical Sciences, University of Cape Town, Rondebosch 7701, South Africa res.altwegg@gmail.com.ORCID http://orcid.org/0000-0002-4083-6561
Vernon VisserStatistics in Ecology, Environment and Conservation, Department of Statistical Sciences, University of Cape Town, Rondebosch 7701, South Africa.
Liam D BaileyDivision of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, 0200 Australian Capital Territory, Australia.ORCID http://orcid.org/0000-0002-8226-9454
Birgit ErniStatistics in Ecology, Environment and Conservation, Department of Statistical Sciences, University of Cape Town, Rondebosch 7701, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extreme climatic events (ECEs) have a disproportionate effect on ecosystems. Yet much of what we know about the ecological impact of ECEs is based on observing the effects of single extreme events. We examined what characteristics affect the strength of inference that can be drawn from single-event studies, which broadly fell into three categories: opportunistic observational studies initiated after an ECE, long-term observational studies with data before and after an ECE and experiments. Because extreme events occur rarely, inference from such single-event studies cannot easily be made under the usual statistical paradigm that relies on replication and control. However, single-event studies can yield important information for theory development and can contribute to meta-analyses. Adaptive management approaches can be used to learn from single, or a few, extreme events. We identify a number of factors that can make observations of single events more informative. These include providing robust estimates of the magnitude of ecological responses and some measure of climatic extremeness, collecting ancillary data that can inform on mechanisms, continuing to observe the biological system after the ECE and combining observational data with experiments and models. Well-designed single-event studies are an important contribution to our understanding of biological effects of ECEs.This article is part of the themed issue 'Behavioural, ecological and evolutionary responses to extreme climatic events'.

Indexed as

Climate ChangeLife History TraitsAnimalsEcosystemPlant Physiological Phenomenaadaptive managementclimatic extremelong-term studymeta-analysissingle observationvalue of information

Identifiers

PMID28483871
PMCPMC5434092

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.