Evidence map›Paper›PMID 31197167›Full record

ArticleNature communications2019

An integrative climate change vulnerability index for Arctic aviation and marine transportation.

Nathan S Debortoli, Dylan G Clark, James D Ford, Jesse S Sayles, Emilia P Diaconescu

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Projected decrease in trail access in the Arctic.Communications earth & environment · 2023
    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

5 authors.

Nathan S DebortoliDepartment of Geography, McGill University, 805 Sherbrooke Street West, Montréal, QC, H3A 2T5, Canada. nathandebortoli@gmail.com.
Dylan G ClarkDepartment of Geography, McGill University, 805 Sherbrooke Street West, Montréal, QC, H3A 2T5, Canada.ORCID http://orcid.org/0000-0002-3676-6150
James D FordDepartment of Geography, McGill University, 805 Sherbrooke Street West, Montréal, QC, H3A 2T5, Canada.ORCID http://orcid.org/0000-0002-2066-3456
Jesse S SaylesDepartment of Geography, McGill University, 805 Sherbrooke Street West, Montréal, QC, H3A 2T5, Canada.
Emilia P DiaconescuOuranos Inc., Consortium Sur La Climatologie Régionale Et L'adaptation Aux Changements Climatiques, 550 Rue Sherbrooke O, Montréal, QC, H3A 1B9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change vulnerability research methods are often divergent, drawing from siloed biophysical risk approaches or social-contextual frameworks, lacking methods for integrative approaches. This substantial gap has been noted by scientists, policymakers and communities, inhibiting decision-makers' capacity to implement adaptation policies responsive to both physical risks and social sensitivities. Aiming to contribute to the growing literature on integrated vulnerability approaches, we conceptualize and translate new integrative theoretical insights of vulnerability research to a scalable quantitative method. Piloted through a climate change vulnerability index for aviation and marine sectors in the Canadian Arctic, this study demonstrates an avenue of applying vulnerability concepts to assess both biophysical and social components analyzing future changes with linked RCP climate projections. The iterative process we outline is transferable and adaptable across the circumpolar north, as well as other global regions and shows that transportation vulnerability varies across Inuit regions depending on modeled hazards and transportation infrastructures.

Identifiers

PMID31197167
PMCPMC6565733

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.