气候变化领域集成服务门户(CCPortal): Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model

CCPortal

DOI	10.1029/2018MS001565
	Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model
	Chen X.; Maignan F.; Viovy N.; Bastos A.; Goll D.; Wu J.; Liu L.; Yue C.; Peng S.; Yuan W.; da Conceição A.C.; O'Sullivan M.; Ciais P.
发表日期	2020
ISSN	19422466
卷号	12 期号:1
英文摘要	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.
英文关键词	Amazon; carbon allocation; carbon and water fluxes; gross primary production (GPP); litterfall; tropical forest phenology
语种	英语
scopus关键词	Carbon; Latent heat; Photosynthesis; Plants (botany); Surface measurement; Tropics; Amazon; Carbon allocation; Gross primary production; Litterfalls; Tropical forest; Water flux; Forestry; biomass allocation; carbon flux; eddy covariance; evergreen forest; humid tropics; land surface; leaf area; leaf area index; light use efficiency; litterfall; net primary production; phenology; seasonality; solar radiation; tropical forest; water flux; Amazonia
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156783
作者单位	School of Atmospheric Sciences, Center for Monsoon and Environment Research, Sun Yat-Sen University, Guangzhou, China; Laboratoire des Sciences du Climat et de l'Environnement/IPSL, UMR 8212 CEA-CNRS UVSQ, Gif-sur-Yvette, France; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China; Department of Geography, Ludwig-Maximilians University, Munich, Germany; Department of Environmental and Climate Sciences, Brookhaven National Laboratory, Upton, NY, United States; School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, China; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China; National Institute for Amazonian Research (INPA), C.P. 478, Manaus, Brazil; College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom
推荐引用方式 GB/T 7714	Chen X.,Maignan F.,Viovy N.,et al. Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model[J],2020,12(1).
APA	Chen X..,Maignan F..,Viovy N..,Bastos A..,Goll D..,...&Ciais P..(2020).Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model.Journal of Advances in Modeling Earth Systems,12(1).
MLA	Chen X.,et al."Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model".Journal of Advances in Modeling Earth Systems 12.1(2020).