Evidence map›Paper›PMID 42509319›Full record

ArticleScientific reports2026

The impact of climate and vegetation on the riverside architecture of the Brazilian Amazon.

Maria Cristina Celuppi, Emerson Galvani, Adriana Cristina da Silva Nunes, Graziela Tosini Tejas, Reginaldo Martins da Silva de Souza, Marlon Resende Faria, Glenda Natalia Passos, João Paulo Assis Gobo

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In one paragraph

Article in Scientific reports, 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
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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

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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.

Maria Cristina CeluppiUniversity of São Paulo, São Paulo, Brazil. mariaceluppi@hotmail.com.
Emerson GalvaniUniversity of São Paulo, São Paulo, Brazil.
Adriana Cristina da Silva NunesFederal University of Rondônia, Porto Velho, Brazil.
Graziela Tosini TejasFederal Institute of Rondônia, Porto Velho, Brazil.
Reginaldo Martins da Silva de SouzaFederal Institute of Rondônia, Porto Velho, Brazil.
Marlon Resende FariaUniversity of São Paulo, São Paulo, Brazil.
Glenda Natalia PassosFederal University of Rondônia, Porto Velho, Brazil.
João Paulo Assis GoboFederal University of Rondônia, Porto Velho, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aimed to investigate the impact of vegetation conservation on the local climate and architectural production of two riverside communities in one of the capitals of the Brazilian Amazon, one close to and the other far from the urban area. Based on the inductive-exploratory method, we collected primary climatological data in the external area and inside the dwellings in both communities (October 2022 to May 2023), developed analyses of the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) (August 2022 to May 2023), and finally collected architectural information from the dwellings investigated. Our results show that the climatological data from the two communities are statistically different, being more favorable to comfort in the community with greater vegetation conservation. Analysis of remote sensing images showed that vegetation density in this community indicates a strong relationship with vegetative regeneration capacity after the most critical dry months of the period investigated. Regarding thermal comfort inside dwellings, the data showed that, both through statistical analysis and the thermal comfort model adopted, the combined effect of building materials, vegetation cover, and environmental context favors better thermal comfort conditions. The results presented point to the importance of vegetation conservation, which positively influenced the local climate and thermal comfort of riverside dwellings. In addition, our results encourage the perpetuation of traditional knowledge that adapts architecture to the forest.

Indexed as

ClimateRiversBrazilConservation of Natural ResourcesEcosystemForestsPlantsTemperatureThermal ComfortAmazonClimateEnvironmental conservationRiverside architectureTraditional riverside knowledgeVegetation

Identifiers

PMID42509319
PMCPMC13407857

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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.