Evidence map›Paper›PMID 37118599›Full record

ArticleNature food2022

Impacts of climate change and extreme weather on food supply chains cascade across sectors and regions in Australia.

Arunima Malik, Mengyu Li, Manfred Lenzen, Jacob Fry, Navoda Liyanapathirana, Kathleen Beyer, Sinead Boylan, Amanda Lee, David Raubenheimer, Arne Geschke and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature food, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Impact of extreme weather events on the US domestic supply chain of food manufacturing.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  6. Review
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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

11 authors.

Arunima MalikISA, School of Physics A28, The University of Sydney, Sydney, New South Wales, Australia. arunima.malik@sydney.edu.au.
Mengyu LiISA, School of Physics A28, The University of Sydney, Sydney, New South Wales, Australia.
Manfred LenzenISA, School of Physics A28, The University of Sydney, Sydney, New South Wales, Australia.
Jacob FryISA, School of Physics A28, The University of Sydney, Sydney, New South Wales, Australia.
Navoda LiyanapathiranaISA, School of Physics A28, The University of Sydney, Sydney, New South Wales, Australia.
Kathleen BeyerClimate and Atmospheric Science, Department of Planning, Industry and Environment, Sydney, New South Wales, Australia.
Sinead BoylanCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
Amanda LeeSchool of Public Health, The University of Queensland, Herston, Queensland, Australia.
David RaubenheimerCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
Arne GeschkeISA, School of Physics A28, The University of Sydney, Sydney, New South Wales, Australia.
Mikhail ProkopenkoCentre for Complex Systems, The University of Sydney, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disasters resulting from climate change and extreme weather events adversely impact crop and livestock production. While the direct impacts of these events on productivity are generally well known, the indirect supply-chain repercussions (spillovers) are still unclear. Here, applying an integrated modelling framework that considers economic and physical factors, we estimate spillovers in terms of social impacts (for example, loss of job and income) and health impacts (for example, nutrient availability and diet quality) resulting from disruptions in food supply chains, which cascade across regions and sectors. Our results demonstrate that post-disaster impacts are wide-ranging and diverse owing to the interconnected nature of supply chains. We find that fruit, vegetable and livestock sectors are the most affected, with effects flowing on to other non-food production sectors such as transport services. The ability to cope with disasters is determined by socio-demographic characteristics, with communities in rural areas being most affected.

Identifiers

PMID37118599

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.