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Título: | Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests |
Autor: | Wu, Jin 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 |
Palavras-chave: | Carbon Dioxide Rain Canopy Carbon Flux Climate Change Demography Dry Season Ecosystem Response Leaf Morphology Litterfall Phenology Photography Photosynthesis Seasonality Tropical Forest Canopy Climate Change Demography Ecosystem Evergreen Rain Forest Leaf Development Leaf Growth Ontogeny Phenology Photosynthesis Priority Journal Seasonal Variation Sensitivity Analysis Tropical Rain Forest Vegetation Climate Change Demography Forest Growth, Development And Aging Light Metabolism Plant Leaf Season Tropic Climate Amazonia Nia Climate Change Demography Forests Light Photosynthesis Plant Leaves Seasons Tropical Climate |
Data do documento: | 2016 |
Revista: | Science |
É parte de: | Volume 351, Número 6276, Pags. 972-976 |
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. © 2016 by the American Association for the Advancement of Science; all rights reserved. |
DOI: | 10.1126/science.aad5068 |
Aparece nas coleções: | Artigos |
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