Title |
Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests
|
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Published in |
Science, February 2016
|
DOI | 10.1126/science.aad5068 |
Pubmed ID | |
Authors |
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 |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 36% |
United Kingdom | 5 | 12% |
Brazil | 2 | 5% |
Belgium | 1 | 2% |
Czechia | 1 | 2% |
Denmark | 1 | 2% |
Unknown | 17 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 21 | 50% |
Scientists | 19 | 45% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 5 | 1% |
United States | 3 | <1% |
Spain | 2 | <1% |
Mexico | 1 | <1% |
France | 1 | <1% |
Japan | 1 | <1% |
Austria | 1 | <1% |
Unknown | 463 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 103 | 22% |
Researcher | 94 | 20% |
Student > Master | 59 | 12% |
Student > Doctoral Student | 46 | 10% |
Professor > Associate Professor | 20 | 4% |
Other | 69 | 14% |
Unknown | 86 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 128 | 27% |
Agricultural and Biological Sciences | 108 | 23% |
Earth and Planetary Sciences | 82 | 17% |
Engineering | 10 | 2% |
Business, Management and Accounting | 4 | <1% |
Other | 21 | 4% |
Unknown | 124 | 26% |