Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests

Jin Wu, Loren P. Albert, Aline P. Lopes, Natalia Restrepo-Coupe, Matthew Hayek, Kenia T. Wiedemann, Kaiyu Guan, Scott C. Stark, Bradley Christoffersen, Neill Prohaska, Julia V. Tavares, Suelen Marostica, Hideki Kobayashi, Mauricio L. Ferreira, Kleber S ilva Campos, Rodrigo da Silva, Paulo M. Brando, Dennis G. Dye, Travis E. Huxman, Alfredo R. HueteBruce W. Nelson, Scott Saleska

Research output: Contribution to journalArticle

159 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)972-976
Number of pages5
JournalScience
Volume351
Issue number6276
DOIs
StatePublished - Feb 26 2016

ASJC Scopus subject areas

  • Medicine(all)

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