# Detected Shifts Towards Drought‐Adaptive Strategies in the Amazon Forest Over the Last Four Decades

**Authors:** Milton Barbosa, Renata A. Maia, Imma Oliveras Menor, Ben Hur Marimon Junior, Beatriz Schwantes Marimon, G. Wilson Fernandes, Yadvinder Malhi, Jesús Aguirre‐Gutiérrez

PMC · DOI: 10.1111/gcb.70727 · Global Change Biology · 2026-02-04

## TL;DR

Amazon forests are showing signs of adapting to drought, with drier regions becoming more stable in canopy color, suggesting a shift toward tougher, drought-tolerant plants.

## Contribution

A new remote sensing method to detect biome-scale shifts toward drought-adaptive plant strategies using canopy reflectance stability.

## Key findings

- Dry-season reflectance variability has declined by ~34% in the Amazon since 1984, indicating a shift toward drought tolerance.
- The trend is strongest in the southern and eastern Amazon, where climate stress is increasing.
- This shift could reduce forest productivity, carbon uptake, and biodiversity while increasing fire vulnerability.

## 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.

Amazon forests are facing hotter, drier conditions, and we used 40 years of satellite data to look for early signs of ecological change. Combining satellite observations with leaf measurements from more than 3000 trees, we show that many forests now show smaller dry‐season fluctuations in canopy colour—especially in the southern and eastern Amazon. This growing dry‐season stability is consistent with a shift toward tougher, more drought‐tolerant vegetation, with potential consequences for carbon storage and increasing vulnerability to fire.

## Full-text entities

- **Genes:** PCSK1 (proprotein convertase subtilisin/kexin type 1) [NCBI Gene 5122] {aka BMIQ12, NEC1, PC1, PC1/3, PC3, SPC3}, SLA (Src like adaptor) [NCBI Gene 6503] {aka SLA1, SLAP}
- **Diseases:** deficit (MESH:D009461), Drought (MESH:C536747), water deficit (MESH:D000069578), leaf loss (MESH:D016388), fire (MESH:D000092422), palmer drought (MESH:C538107)
- **Chemicals:** water (MESH:D014867), carbohydrates (MESH:D002241), carbon (MESH:D002244), Sclerophylly (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12869351/full.md

## References

51 references — full list in the complete paper: https://tomesphere.com/paper/PMC12869351/full.md

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Source: https://tomesphere.com/paper/PMC12869351