Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests

26 de fevereiro de 2016

fev 26, 2016

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 Silva Campos, Rodrigo da Silva, Paulo M. Brando, Dennis G. Dye, Travis E. Huxman, Alfredo R. Huete, Bruce W. Nelson, Scott R. Saleska

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.

 

Baixar (sujeito à disponibilidade)

Download (subject to availability)

Veja também

See also

VIPP – Manual de facilitação e visualização em processos participativos

VIPP – Manual de facilitação e visualização em processos participativos

Esta edição reflete a aplicação de métodos participativos em diferentes projetos de desenvolvimento no mundo. Os conceitos propostos, apesar de não serem novos, estão sistematizados nesse único documento que não tem a pretensão de ser finalista. Então, sugerimos que ele seja utilizado pelos participantes com a ideia de agregar novas contribuições.