Evidence map›Paper›PMID 39102539›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

A large net carbon loss attributed to anthropogenic and natural disturbances in the Amazon Arc of Deforestation.

Ovidiu Csillik, Michael Keller, Marcos Longo, Antonio Ferraz, Ekena Rangel Pinagé, Eric Bastos Görgens, Jean P Ometto, Vinicius Silgueiro, David Brown, Paul Duffy and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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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

12 authors.

Ovidiu CsillikJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109.ORCID 0000-0002-4590-3807
Michael KellerJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109.ORCID 0000-0002-0253-3359
Marcos LongoClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720.
Antonio FerrazJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109.
Ekena Rangel PinagéCollege of Forestry, Oregon State University, Corvallis, OR 97333.
Eric Bastos GörgensDepartment of Forest Engineering, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, MG 39100-000, Brazil.ORCID 0000-0003-2517-0279
Jean P OmettoEarth System Sciences Center, National Institute for Space Research-National Institute for Space Research (INPE), São José dos Campos, SP 12227-010, Brazil.
Vinicius SilgueiroInstituto Centro de Vida, Alta Floresta, MT 78580-000, Brazil.ORCID 0000-0002-0185-7386
David BrownNeptune and Company, Inc., Lakewood, CO 80215.ORCID 0009-0004-1502-1303
Paul DuffyNeptune and Company, Inc., Lakewood, CO 80215.ORCID 0009-0004-8667-2007
K C CushmanEnvironmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830.ORCID 0000-0002-3464-1151
Sassan SaatchiJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109.

Funding

DOE | SC | Oak Ridge National Laboratory (ORNL) DE-AC05-00OR22725NASA (NASA) 20-LCLUC2020-0024NASA (NASA) 80NM0018D0004U.S. Department of Energy (DOE) DE-AC02-05CH11231
6 · The paper itself

Abstract

The Amazon forest contains globally important carbon stocks, but in recent years, atmospheric measurements suggest that it has been releasing more carbon than it has absorbed because of deforestation and forest degradation. Accurately attributing the sources of carbon loss to forest degradation and natural disturbances remains a challenge because of the difficulty of classifying disturbances and simultaneously estimating carbon changes. We used a unique, randomized, repeated, very high-resolution airborne laser scanning survey to provide a direct, detailed, and high-resolution partitioning of aboveground carbon gains and losses in the Brazilian Arc of Deforestation. Our analysis revealed that disturbances directly attributed to human activity impacted 4.2% of the survey area while windthrows and other disturbances affected 2.7% and 14.7%, respectively. Extrapolating the lidar-based statistics to the study area (544,300 km

Indexed as

CarbonConservation of Natural ResourcesForestsBrazilCarbon CycleHumansTreesCarbonairborne lidarAmazoncarbon lossforest disturbancetropical forest

Identifiers

PMID39102539
PMCPMC11331119

What OpenQuestion holds

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LicenceCC BY
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.