Evidence map›Paper›PMID 36895645›Full record

ArticleiScience2023

The emergence of scale-free fires in Australia.

Giorgio Nicoletti, Leonardo Saravia, Fernando Momo, Amos Maritan, Samir Suweis

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Unraveling the mesoscale organization induced by network-driven processes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. 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.

Giorgio NicolettiLaboratory of Interdisciplinary Physics, Department of Physics and Astronomy "G. Galilei", University of Padova, Via Marzolo 8, Padova 35131, Italy.
Leonardo SaraviaCentro Austral de Investigaciones Científicas (CADIC - CONICET), Bernardo Houssay 200, Ushuaia, V9410 Tierra del Fuego, Argentina.
Fernando MomoUniversidad Nacional de General Sarmiento, Instituto de Ciencias, Área Biología y Bioinformática, J. M. Gutierrez 1159, Los Polvorines, 1613 Buenos Aires, Argentina.
Amos MaritanLaboratory of Interdisciplinary Physics, Department of Physics and Astronomy "G. Galilei", University of Padova, Via Marzolo 8, Padova 35131, Italy.
Samir SuweisLaboratory of Interdisciplinary Physics, Department of Physics and Astronomy "G. Galilei", University of Padova, Via Marzolo 8, Padova 35131, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Between 2019 and 2020, during the country's hottest and driest year on record, Australia experienced a dramatic bushfire season, with catastrophic ecological and environmental consequences. Several studies highlighted how such abrupt changes in fire regimes may have been in large part a consequence of climate change and other anthropogenic transformations. Here, we analyze the monthly evolution of the burned area in Australia from 2000 to 2020, obtained via satellite imaging through the MODIS platform. We find that the 2019-2020 peak is associated with signatures typically found near critical points. We introduce a modeling framework based on forest-fire models to study the properties of these emergent fire outbreaks, showing that the behavior observed during the 2019-2020 fire season matches the one of a percolation transition, where system-size outbreaks appear. Our model also highlights the existence of an absorbing phase transition that might be eventually crossed, after which the vegetation cannot recover.

Indexed as

Environmental scienceForestryGlobal changeMathematical physics

Identifiers

PMID36895645
PMCPMC9988665

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.