Evidence map›Paper›PMID 41636072›Full record

ArticleGlobal change biology2026

Detected Shifts Towards Drought-Adaptive Strategies in the Amazon Forest Over the Last Four Decades.

Milton Barbosa, Renata A Maia, Imma Oliveras Menor, Ben Hur Marimon Junior, Beatriz Schwantes Marimon, G Wilson Fernandes, Yadvinder Malhi, Jesús Aguirre-Gutiérrez

Abstract read
In one paragraph

Article in Global change biology, 2026. 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

8 authors.

Milton BarbosaBiodiversity and Earth Observation, Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.ORCID 0000-0003-4243-7895
Renata A MaiaBiodiversity and Earth Observation, Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.ORCID 0000-0003-3923-2928
Imma Oliveras MenorAMAP (Botanique et Modélisation de l'Architecture des Plantes et des Végétations), Université de Montpellier, CIRAD, CNRS, INRAE IRD, Montpellier, France.
Ben Hur Marimon JuniorDepartment of Biological Sciences, State University of Mato Grosso (UNEMAT), Nova Xavantina, Brazil.
Beatriz Schwantes MarimonDepartment of Biological Sciences, State University of Mato Grosso (UNEMAT), Nova Xavantina, Brazil.
G Wilson FernandesDepartment of Genetics, Ecology & Evolution, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Yadvinder MalhiEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.
Jesús Aguirre-GutiérrezBiodiversity and Earth Observation, Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.ORCID 0000-0001-9190-3229

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 403055/2022-9HORIZON EUROPE Marie Sklodowska-Curie Actions EP/Z003253/1Leverhulme Trust RPG-2024-342Natural Environment Research Council (NERC) NE/T011084/1Natural Environment Research Council (NERC) NE/Z504191/1Royal Society RG/R1/251370
6 · The paper itself

Abstract

The Amazon Forest is undergoing rapid ecological shifts driven by intensifying drought, rising temperatures, and widespread anthropogenic disturbance. Yet the reorganization of vegetation functional strategies under climate stress remains poorly quantified at the biome scale. Here, we show that the temporal stability of canopy reflectance offers a sensitive remote proxy for sclerophylly-leaf toughness, a key indicator of conservative, drought-adaptive plant strategies. By integrating ground-based trait data (specific leaf area, SLA) from over 3000 trees across 448 plots in the Amazon-Cerrado savanna transition zone with high-resolution remote sensing imagery, we demonstrate that lower SLA-a well-established proxy for conservative leaf strategies-is associated with reduced dry-season variability in the blue band spectral reflectance of vegetation. Extending the analysis across 130 plots in nine Amazonian countries using 40 years of harmonised remote sensing data, we find that dry-season reflectance variability has declined by ~34% (a drop of ~10 percentage points) since 1984, indicating a biome-wide shift toward greater drought tolerance. This trend is most pronounced in the southern and eastern Amazon and closely tracks rising climate stress, particularly increased temperature, evaporative demand, and water deficit. If these patterns persist, much of the southern and eastern Amazon could reach reflectance-stability levels comparable to transitional zones with the Cerrado savanna biome within the next three to four decades. Our results show signals of an early-stage forest functional transformation that could reduce forest productivity and carbon uptake, increase vulnerability to fire, and diminish biodiversity. These findings highlight regions where early signs of reduced forest resilience are emerging, underscoring the need for spatially targeted conservation.

Indexed as

Climate ChangeDroughtsForestsTreesBrazilDrought ResistancePlant LeavesRemote Sensing TechnologySeasonsclimate stressfunctional traitsLandsat time seriesreflectance stabilityremote sensingsclerophyllyspecific leaf areaspectral variability

Identifiers

PMID41636072
PMCPMC12869351

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Registered trials

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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.