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Title: Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model
Authors: Chen, Xiuzhi
Maignan, Fabienne
Viovy, Nicolas
Bastos, Ana
Goll, Daniel S.
Wu, Jin
Liu, Liyang
Yue, Chao
Peng, Shushi
Yuan, Wenping
Conceição, Adriana Castro da
O'Sullivan, Michael
Ciais, Philippe
Keywords: Carbon
Latent Heat
Plants (botany)
Surface Measurement
Carbon Allocation
Gross Primary Production
Tropical Forest
Water Flux
Biomass Allocation
Carbon Flux
Eddy Covariance
Evergreen Forest
Humid Tropics
Land Surface
Leaf Area
Leaf Area Index
Light Use Efficiency
Net Primary Production
Solar Radiation
Tropical Forest
Water Flux
Issue Date: 2020
metadata.dc.publisher.journal: Journal of Advances in Modeling Earth Systems
metadata.dc.relation.ispartof: Volume 12, Número 1
Abstract: Leaf phenology in the humid tropics largely regulates the seasonality of forest carbon and water exchange. However, it is inadequately represented in most global land surface models due to limited understanding of its controls. Based on intensive field studies at four Amazonian evergreen forests, we propose a novel, quantitative representation of tropical forest leaf phenology, which links multiple environmental variables with the seasonality of new leaf production and old leaf litterfall. The new phenology simulates higher rates of leaf turnover (new leaves replacing old leaves) in dry seasons with more sunlight, which is then implemented in ORCHIDEE, together with recent findings of ontogeny-associated photosynthetic capacity, and is evaluated against ground-based measurements of leaf phenology (canopy leaf area index and litterfall), eddy covariance fluxes (photosynthesis and latent heat), and carbon allocations from field observations. Results show the periodical cycles of solar radiation and vapor pressure deficit are the two most important environmental variables that are empirically related to new leaf production and old leaf abscission in tropical evergreen forests. The model with new representation of leaf phenology captures the seasonality of canopy photosynthesis at three out of four sites, as well as the seasonality of litterfall, latent heat, and light use efficiency of photosynthesis at all tested sites, and improves the seasonality of carbon allocations to leaves, roots, and sapwoods. This study advances understanding of the environmental controls on tropical leaf phenology and offers an improved modeling tool for gridded simulations of interannual CO2 and water fluxes in the tropics. ©2019. The Authors.
metadata.dc.identifier.doi: 10.1029/2018MS001565
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