Evidence map›Paper›PMID 32045029›Full record

ArticleAnnals of the New York Academy of Sciences2020

Environmental catastrophes, climate change, and attribution.

Elisabeth A Lloyd, Theodore G Shepherd

Abstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Revealing the Intrinsic Restructuring of BiACS applied materials & interfaces · 2024
    Article
  4. Soil moisture precipitation feedbacks in the Eastern European Alpine region in convection-permitting climate simulations.International journal of climatology : a journal of the Royal Meteorological Society · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Analysis of China's Industrial Green Development Efficiency and Driving Factors: Research Based on MGWR.International journal of environmental research and public health · 2021
    Article
  10. 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.

Elisabeth A LloydDepartment of History and Philosophy of Science and Medicine, Indiana University, Bloomington, Indiana.
Theodore G ShepherdDepartment of Meteorology, University of Reading, Reading, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In our discussion of environmental and ecological catastrophes or disasters resulting from extreme weather events, we unite disparate literatures, the biological and the physical. Our goal is to tie together biological understandings of extreme environmental events with physical understandings of extreme weather events into joint causal accounts. This requires fine-grained descriptions, in both space and time, of the ecological, evolutionary, and biological moving parts of a system together with fine-grained descriptions, also in both space and time, of the extreme weather events. We find that both the "storyline" approach to extreme event attribution and the probabilistic "risk-based" approach have uses in such descriptions. However, the storyline approach is more readily aligned with the forensic approach to evidence that is prevalent in the ecological literature, which cultivates expert-based rules of thumb, that is, heuristics, and detailed methods for analyzing causes and mechanisms. We introduce below a number of preliminary examples of such studies as instances of what could be pursued in the future in much more detail.

Indexed as

Climate ChangeDisastersHumansattributionclimate changeecologyecosystemsenvironmental catastropheextreme weather events

Identifiers

PMID32045029
PMCPMC7318617

What OpenQuestion holds

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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.