Evidence map›Paper›PMID 36534807›Full record

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

Abrupt loss and uncertain recovery from fires of Amazon forests under low climate mitigation scenarios.

Isabel Martínez Cano, Elena Shevliakova, Sergey Malyshev, Jasmin G John, Yan Yu, Benjamin Smith, Stephen W Pacala

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Amazon forest faces severe decline under the dual pressures of anthropogenic climate change and land-use change.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

7 authors.

Isabel Martínez CanoDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544.ORCID 0000-0003-4205-8596
Elena ShevliakovaNational Oceanic and Atmospheric Administration (NOAA)/Office of Oceanic and Atmospheric Research (OAR)/Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540.
Sergey MalyshevNational Oceanic and Atmospheric Administration (NOAA)/Office of Oceanic and Atmospheric Research (OAR)/Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540.
Jasmin G JohnNational Oceanic and Atmospheric Administration (NOAA)/Office of Oceanic and Atmospheric Research (OAR)/Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540.ORCID 0000-0003-2696-277X
Yan YuDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100084, China.
Benjamin SmithDepartment of Physical Geography and Ecosystem Science, Lund University, Lund 22100, Sweden.ORCID 0000-0002-6987-5337
Stephen W PacalaDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropical forests contribute a major sink for anthropogenic carbon emissions essential to slowing down the buildup of atmospheric CO

Indexed as

Carbon DioxideFiresCarbonClimate ChangeForestsTreesCarbonCarbon Dioxideearth system modelforest recoverytropical forestwildfires

Identifiers

PMID36534807
PMCPMC9907153

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.