Evidence map›Paper›PMID 33741981›Full record

ArticleNature communications2021

Large carbon sink potential of secondary forests in the Brazilian Amazon to mitigate climate change.

Viola H A Heinrich, Ricardo Dalagnol, Henrique L G Cassol, Thais M Rosan, Catherine Torres de Almeida, Celso H L Silva Junior, Wesley A Campanharo, Joanna I House, Stephen Sitch, Tristram C Hales and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

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

  1. Pooled it
  2. Trial
  3. Modelling forest carbon stocks on the Canary Islands.Carbon balance and management · 2026
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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

13 authors.

Viola H A HeinrichSchool of Geographical Sciences, University of Bristol, Bristol, UK. viola.heinrich@bristol.ac.uk.ORCID http://orcid.org/0000-0003-0501-0032
Ricardo DalagnolEarth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos, Brazil.
Henrique L G CassolEarth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos, Brazil.ORCID http://orcid.org/0000-0001-6728-4712
Thais M RosanCollege of Life and Environmental Sciences, University of Exeter, Exeter, UK.
Catherine Torres de AlmeidaEarth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos, Brazil.
Celso H L Silva JuniorEarth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos, Brazil.ORCID http://orcid.org/0000-0002-1052-5551
Wesley A CampanharoEarth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos, Brazil.ORCID http://orcid.org/0000-0001-5719-8407
Joanna I HouseSchool of Geographical Sciences, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0003-4576-3960
Stephen SitchCollege of Life and Environmental Sciences, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0003-1821-8561
Tristram C HalesSchool of Earth and Environmental Sciences, Cardiff University, Cardiff, UK.
Marcos AdamiAmazon Regional Center, National Institute for Space Research (INPE), Belém, Brazil.ORCID http://orcid.org/0000-0003-4247-4477
Liana O AndersonNational Center for Monitoring and Early Warning of Natural Disaster (CEMADEN), São José dos Campos, Brazil.ORCID http://orcid.org/0000-0001-9545-5136
Luiz E O C AragãoEarth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropical secondary forests sequester carbon up to 20 times faster than old-growth forests. This rate does not capture spatial regrowth patterns due to environmental and disturbance drivers. Here we quantify the influence of such drivers on the rate and spatial patterns of regrowth in the Brazilian Amazon using satellite data. Carbon sequestration rates of young secondary forests (<20 years) in the west are ~60% higher (3.0 ± 1.0 Mg C ha

Indexed as

Carbon SequestrationClimate ChangeForestsTropical ClimateAlgorithmsBiomassBrazilCarbonConservation of Natural ResourcesEcosystemFiresForestryGeographyModels, TheoreticalSatellite ImageryTreesCarbon

Identifiers

PMID33741981
PMCPMC7979697

What OpenQuestion holds

Textmetadata
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.