Evidence map›Paper›PMID 33869652›Full record

ArticleEarth's future2021

Scenarios of Human Responses to Unprecedented Social-Environmental Extreme Events.

Maria Rusca, Gabriele Messori, Giuliano Di Baldassarre

Abstract read
In one paragraph

Article in Earth's future, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Severe water crisis in southern Spain under expanding irrigated agriculture: A multidimensional drought analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

3 authors.

Maria RuscaDepartment of Earth Sciences Uppsala University Uppsala Sweden.ORCID https://orcid.org/0000-0003-4513-3213
Gabriele MessoriDepartment of Earth Sciences Uppsala University Uppsala Sweden.ORCID https://orcid.org/0000-0002-2032-5211
Giuliano Di BaldassarreDepartment of Earth Sciences Uppsala University Uppsala Sweden.ORCID https://orcid.org/0000-0002-8180-4996

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a rapidly changing world, what is today an unprecedented extreme may soon become the norm. As a result, extreme-related disasters are expected to become more frequent and intense. This will have widespread socio-economic consequences and affect the ability of different societal groups to recover from and adapt to rapidly changing environmental conditions. Therefore, there is the need to decipher the relation between genesis of unprecedented events, accumulation and distribution of risk, and recovery trajectories across different societal groups. Here, we develop an analytical approach to unravel the complexity of future extremes and multiscalar societal responses-from households to national governments and from immediate impacts to longer term recovery. This requires creating new forms of knowledge that integrate analyses of the past-that is, structural causes and political processes of risk accumulation and differentiated recovery trajectories-with plausible scenarios of future environmental extremes grounded in the event-specific literature. We specifically seek to combine the physical characteristics of the extremes with examinations of how culture, politics, power, and policy visions shape societal responses to unprecedented events, and interpret the events as

Indexed as

disastersintersectionalityrecovery trajectoriessocial‐environmental extremesvulnerability

Identifiers

PMID33869652
PMCPMC8047902

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.