Biogeosciences
Biogeosciences
BG
Articles | Volume 22, issue 19
Articles | Volume 22, issue 19
https://doi.org/10.5194/bg-22-5231-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-5231-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 19
Research article
 | 
01 Oct 2025
Research article |  | 01 Oct 2025

Drivers of and uncertainty in Amazon carbon sink long-term and interannual variability in CMIP6 models

Matteo Mastropierro, Daniele Peano, and Davide Zanchettin

Viewed

Total article views: 5,272 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,903 970 399 5,272 383 207 290
  • HTML: 3,903
  • PDF: 970
  • XML: 399
  • Total: 5,272
  • Supplement: 383
  • BibTeX: 207
  • EndNote: 290
Views and downloads (calculated since 25 Mar 2024)
Cumulative views and downloads (calculated since 25 Mar 2024)

Viewed (geographical distribution)

Total article views: 5,272 (including HTML, PDF, and XML) Thereof 5,254 with geography defined and 18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 13 Jun 2026
Download
Short summary
We analyse how Earth system models represent vegetation carbon flux variability in the Amazon. By assessing environmental factors influencing vegetation, we identified CO2 fertilization, photosynthetic sensitivity to solar radiation and heterotrophic respiration as key sources of model uncertainty under climate change. We also identified a stronger El Niño–Southern Oscillation (ENSO)-driven temperature impact under global warming. Reducing these uncertainties will enhance the reliability of tropical carbon–climate projections.
Read more
Share
Altmetrics
Final-revised paper
Preprint