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Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model

doi: 10.1029/2018ms001565
AbstractLeaf 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.
- Ludwig-Maximilians-Universität München Germany
- Peking University China (People's Republic of)
- University of Hong Kong China (People's Republic of)
- Sun Yat-sen University China (People's Republic of)
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) China (People's Republic of)
550, Biomass Allocation, Oceanography, Plants (botany), Photosynthesis, litterfall, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Leaf Area Index, Gross Primary Production, Forestry, tropical forest phenology, Net Primary Production, Carbon Flux, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment, GB3-5030, Phenology, Latent Heat, Solar Radiation, Evergreen Forest, Eddy Covariance, environment, Physical geography, GC1-1581, Litterfalls, Litterfall, Amazonia, Surface Measurement, Tropical Forest, Light Use Efficiency, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Amazon, Carbon Allocation, 580, carbon and water fluxes, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Humid Tropics, Atmosphere, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, gross primary production (GPP), Tropics, Land Surface, Seasonality, Carbon, Leaf Area, Water Flux, [SDU]Sciences of the Universe [physics], carbon allocation, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces
550, Biomass Allocation, Oceanography, Plants (botany), Photosynthesis, litterfall, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Leaf Area Index, Gross Primary Production, Forestry, tropical forest phenology, Net Primary Production, Carbon Flux, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment, GB3-5030, Phenology, Latent Heat, Solar Radiation, Evergreen Forest, Eddy Covariance, environment, Physical geography, GC1-1581, Litterfalls, Litterfall, Amazonia, Surface Measurement, Tropical Forest, Light Use Efficiency, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Amazon, Carbon Allocation, 580, carbon and water fluxes, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Humid Tropics, Atmosphere, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, gross primary production (GPP), Tropics, Land Surface, Seasonality, Carbon, Leaf Area, Water Flux, [SDU]Sciences of the Universe [physics], carbon allocation, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).40 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
