Published January 26, 2017 | Version v1
Dataset Open

Data from: Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests

  • 1. University of Arizona
  • 2. National Institute of Amazonian Research
  • 3. Harvard University
  • 4. Louisiana Department of Natural Resources
  • 5. Michigan State University
  • 6. Japan Agency for Marine-Earth Science and Technology
  • 7. University of Sao Paulo
  • 8. Federal University of Western Pará
  • 9. Instituto de Pesquisa Ambiental da Amazônia
  • 10. United States Geological Survey
  • 11. University of California, Irvine
  • 12. University of Technology Sydney

Description

In evergreen tropical forests, the extent, magnitude, and controls on photosynthetic seasonality are poorly resolved and inadequately represented in Earth system models. Combining camera observations with ecosystem carbon dioxide fluxes at forests across rainfall gradients in Amazônia, we show that aggregate canopy phenology, not seasonality of climate drivers, is the primary cause of photosynthetic seasonality in these forests. Specifically, synchronization of new leaf growth with dry season litterfall shifts canopy composition toward younger, more light-use efficient leaves, explaining large seasonal increases (~27%) in ecosystem photosynthesis. Coordinated leaf development and demography thus reconcile seemingly disparate observations at different scales and indicate that accounting for leaf-level phenology is critical for accurately simulating ecosystem-scale responses to climate change.

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CAX_CfluxBF.csv

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Related works

Is cited by
10.1126/science.aad5068 (DOI)