Evidence map›Paper›PMID 39014072›Full record

ArticleScientific reports2024

Spatial heterogeneity in climate change effects across Brazilian biomes.

Adriano Braga, Márcio Laurini

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Adriano Braga *Department of Economics, University of São Paulo, Av. dos Bandeirantes 3900, Ribeirão Preto, São Paulo, 100190, Brazil.
Márcio Laurini *Department of Economics, University of São Paulo, Av. dos Bandeirantes 3900, Ribeirão Preto, São Paulo, 100190, Brazil. laurini@fearp.usp.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 310646/2021-9Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 01Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/02538-0
6 · The paper itself

Abstract

We present a methodology designed to study the spatial heterogeneity of climate change. Our approach involves decomposing the observed changes in temperature patterns into multiple trend, cycle, and seasonal components within a spatio-temporal model. We apply this method to test the hypothesis of a global long-term temperature trend against multiple trends in distinct biomes. Applying this methodology, we delve into the examination of heterogeneity of climate change in Brazil-a country characterized by a spectrum of climate zones. The findings challenge the notion of a global trend, revealing the presence of distinct trends in warming effects, and more accelerated trends for the Amazon and Cerrado biomes, indicating a composition between global warming and deforestation in determining changes in permanent temperature patterns.

Indexed as

Climate ChangeEcosystemBrazilConservation of Natural ResourcesGlobal WarmingSeasonsTemperatureClimate changeLocal climate changeSpatial heterogeneitySpatio-temporal modelsStructural time series

Identifiers

PMID39014072
PMCPMC11252347

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.