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

TitleLeaf development and demography explain photosynthetic seasonality in Amazon evergreen forests
Authors
Issue Date2016
Citation
Science, 2016, v. 351, n. 6276, p. 972-976 How to Cite?
Abstract© 2016 by the American Association for the Advancement of Science; all rights reserved. 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.
Persistent Identifierhttp://hdl.handle.net/10722/267027
ISSN
2023 Impact Factor: 44.7
2023 SCImago Journal Rankings: 11.902
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWu, Jin-
dc.contributor.authorAlbert, Loren P.-
dc.contributor.authorLopes, Aline P.-
dc.contributor.authorRestrepo-Coupe, Natalia-
dc.contributor.authorHayek, Matthew-
dc.contributor.authorWiedemann, Kenia T.-
dc.contributor.authorGuan, Kaiyu-
dc.contributor.authorStark, Scott C.-
dc.contributor.authorChristoffersen, Bradley-
dc.contributor.authorProhaska, Neill-
dc.contributor.authorTavares, Julia V.-
dc.contributor.authorMarostica, Suelen-
dc.contributor.authorKobayashi, Hideki-
dc.contributor.authorFerreira, Mauricio L.-
dc.contributor.authorCampos, Kleber Silva-
dc.contributor.authorDda Silva, Rodrigo-
dc.contributor.authorBrando, Paulo M.-
dc.contributor.authorDye, Dennis G.-
dc.contributor.authorHuxman, Travis E.-
dc.contributor.authorHuete, Alfredo R.-
dc.contributor.authorNelson, Bruce W.-
dc.contributor.authorSaleska, Scott R.-
dc.date.accessioned2019-01-31T07:20:18Z-
dc.date.available2019-01-31T07:20:18Z-
dc.date.issued2016-
dc.identifier.citationScience, 2016, v. 351, n. 6276, p. 972-976-
dc.identifier.issn0036-8075-
dc.identifier.urihttp://hdl.handle.net/10722/267027-
dc.description.abstract© 2016 by the American Association for the Advancement of Science; all rights reserved. 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.-
dc.languageeng-
dc.relation.ispartofScience-
dc.titleLeaf development and demography explain photosynthetic seasonality in Amazon evergreen forests-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1126/science.aad5068-
dc.identifier.pmid26917771-
dc.identifier.scopuseid_2-s2.0-84961055883-
dc.identifier.volume351-
dc.identifier.issue6276-
dc.identifier.spage972-
dc.identifier.epage976-
dc.identifier.eissn1095-9203-
dc.identifier.isiWOS:000370821400041-
dc.identifier.issnl0036-8075-

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