Evidence map›Paper›PMID 35733267›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Quantifying the environmental limits to fire spread in grassy ecosystems.

Anabelle W Cardoso, Sally Archibald, William J Bond, Corli Coetsee, Matthew Forrest, Navashni Govender, David Lehmann, Loïc Makaga, Nokukhanya Mpanza, Josué Edzang Ndong and 5 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Emergent structure and dynamics of tropical forest-grassland landscapes.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  5. Quantifying the environmental limits to fire spread in grassy ecosystems.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

15 authors.

Anabelle W CardosoEcology and Evolutionary Biology Department, Yale University, New Haven, CT 06511.ORCID 0000-0002-4327-7259
Sally ArchibaldCentre for African Ecology, School of Animal, Plant, and Environmental Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa.ORCID 0000-0003-2786-3976
William J BondBiological Sciences Department, University of Cape Town, Cape Town 7700, South Africa.ORCID 0000-0002-3441-2084
Corli CoetseeScientific Services, Kruger National Park, South African National Parks, Skukuza, Private Bag x 402, South Africa.ORCID 0000-0001-6797-9311
Matthew ForrestSenckenberg Biodiversity and Climate Research Centre, 60325 Frankfurt am Main, Germany.ORCID 0000-0003-1858-3489
Navashni GovenderSchool of Natural Resource Management, Nelson Mandela University, George 6530, South Africa.
David LehmannAgence Nationale des Parcs Nationaux, Libreville, BP 20379, Gabon.
Loïc MakagaAgence Nationale des Parcs Nationaux, Libreville, BP 20379, Gabon.
Nokukhanya MpanzaScientific Services, Kruger National Park, South African National Parks, Skukuza, Private Bag x 402, South Africa.
Josué Edzang NdongAgence Nationale des Parcs Nationaux, Libreville, BP 20379, Gabon.
Aurélie Flore Koumba PamboAgence Nationale des Parcs Nationaux, Libreville, BP 20379, Gabon.
Tercia StrydomScientific Services, Kruger National Park, South African National Parks, Skukuza, Private Bag x 402, South Africa.ORCID 0000-0002-9077-9446
David TilmanCollege of Biological Sciences, University of Minnesota, St. Paul, MN 55108.ORCID 0000-0001-6395-7676
Peter D WraggDepartment of Forest Resources, University of Minnesota, St. Paul, MN 55108.ORCID 0000-0003-2361-4286
A Carla StaverEcology and Evolutionary Biology Department, Yale University, New Haven, CT 06511.ORCID 0000-0002-2384-675X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modeling fire spread as an infection process is intuitive: An ignition lights a patch of fuel, which infects its neighbor, and so on. Infection models produce nonlinear thresholds, whereby fire spreads only when fuel connectivity and infection probability are sufficiently high. These thresholds are fundamental both to managing fire and to theoretical models of fire spread, whereas applied fire models more often apply quasi-empirical approaches. Here, we resolve this tension by quantifying thresholds in fire spread locally, using field data from individual fires (

Indexed as

EcosystemPoaceaeWildfiresClimateClimate ChangeModels, TheoreticalSouth Africafire modelfire thresholdsfuel moistureinfection modelpercolation

Identifiers

PMID35733267
PMCPMC9245651

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.