Artigo

Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests

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...

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Autor principal: Wu, Jin
Outros Autores: Albert, Loren P., Lopes, Aline Pontes, Restrepo-Coupé, Natalia, Hayek, Matthew N., Wiedemann, Kenia T., Guan, Kaiyu, Stark, Scott C., Christoffersen, Bradley O., Prohaska, Neill, Tavares, Julia Valentim, Marostica, Suelen, Kobayashi, Hideki, Lamano-Ferreira, Mauricio, Campos, Kleber Silva, Dda Silva, Rodrigo, Brando, Paulo Monteiro, Dye, Dennis G., Huxman, Travis E., Huete, Alfredo Ramon, Nelson, Bruce Walker, Saleska, Scott Reid
Grau: Artigo
Idioma: English
Publicado em: Science 2020
Assuntos:
Nia
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/15398
Resumo:
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. © 2016 by the American Association for the Advancement of Science; all rights reserved.