Evidence map›Paper›PMID 41523709›Full record

ArticleCommunications earth & environment2026

Characterizing the vertical structure of forests in the Brazilian Amazon.

Denis Valle, Leo Haneda, Ismael Verrastro Brack, Jean Ometto, Ovidiu Csillik, Marcos Longo, Michael Keller, Danilo Almeida

Abstract read
In one paragraph

Article in Communications earth & environment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Denis ValleSchool of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL USA.ORCID 0000-0002-9830-8876
Leo HanedaSchool of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL USA.
Ismael Verrastro BrackSchool of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL USA.
Jean OmettoInstituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, Sao Paulo Brazil.
Ovidiu CsillikEnvironment and Sustainability Studies Program, Wake Forest University, Winston Salem, NC USA.ORCID 0000-0002-4590-3807
Marcos LongoClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA USA.
Michael KellerJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.
Danilo AlmeidaBRCarbon, Piracicaba, Sao Paulo Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about the structure of tropical forests despite its critical role in the provisioning of ecosystem services. Here we assess the vertical structure of forests in the Brazilian Amazon with a large-scale airborne LiDAR dataset. We show that fire has greater impact in the lowest forest strata, differently from selective logging and windthrow. We also find that secondary forests quickly recover or even exceed reference areas at the 1-10 m height stratum but that full recovery for the 20-30 m height stratum has not been achieved even after 35 years. Our modeling results suggest that proximity to roads, elevation, precipitation, soil pH, and proportion of sand in the soil are the most important predictors of forest structure. Finally, we identify 5 forest structural types (FSTs) and use them to visualize the spatial distribution of forest structure. This study provides important information for forest monitoring, management, and conservation.

Indexed as

BiogeographyEcological modellingForestryMacroecologyTropical ecology

Identifiers

PMID41523709
PMCPMC12783051

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.