气候变化领域集成服务门户(CCPortal): A Semiprognostic Phenology Model for Simulating Multidecadal Dynamics of Global Vegetation Leaf Area Index

CCPortal

DOI	10.1029/2019MS001935
	A Semiprognostic Phenology Model for Simulating Multidecadal Dynamics of Global Vegetation Leaf Area Index
	Xin Q.; Zhou X.; Wei N.; Yuan H.; Ao Z.; Dai Y.
发表日期	2020
ISSN	19422466
卷号	12 期号:7
英文摘要	Vegetation leaf phenology, often reflected by the dynamics in leaf area index (LAI), influences a variety of land surface processes. Robust models of vegetation phenology are pivot components in both land surface models and dynamic global vegetation models but remain challenging in terms of the model accuracy. This study develops a semiprognostic phenology model that is suitable for simulating time series of vegetation LAI. This method establishes a linear relationship between the steady-state LAI (i.e., the LAI when the environment conditions remain unchanging) and gross primary productivity, meaning that the LAI an unchanging environment can carry is proportional to the photosynthetic products produced by plant leaves and implements with a simple light use efficiency algorithm of MOD17 to form a closed set of equations. We derive an analytical solution based on the Lambert W function to the closed equations and then apply a simple restricted growth process model to simulate the time series of actual LAI. The results modeled using global climate data demonstrate that the model is able to capture both the spatial pattern and intra-annual and interannual variation of LAI derived from the satellite-based product on a global scale. The results modeled using the flux tower data suggest that the developed model is able to explain over 70% variation in daily LAI for each plant functional type except evergreen broadleaf forest. The developed semiprognostic approach provides a simple solution to modeling the spatiotemporal variation in vegetation LAI across plant functional types on the global scale. ©2020. The Authors.
英文关键词	climate change; land surface process; phenology modeling; time series; vegetation phenology
语种	英语
scopus关键词	Forestry; Surface measurement; Time series; Vegetation; Environment conditions; Gross primary productivity; Interannual variation; Land-surface process; Linear relationships; Plant functional type; Spatio-temporal variation; Vegetation phenology; Climate models; annual variation; broad-leaved forest; environmental conditions; land surface; leaf area index; model; phenology; simulation; vegetation cover
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/156688
作者单位	School of Planning and Geography, Sun Yat-sen University, Guangzhou, China; State Key Laboratory of Desert and Oasis Ecology, Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, China; School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China
推荐引用方式 GB/T 7714	Xin Q.,Zhou X.,Wei N.,et al. A Semiprognostic Phenology Model for Simulating Multidecadal Dynamics of Global Vegetation Leaf Area Index[J],2020,12(7).
APA	Xin Q.,Zhou X.,Wei N.,Yuan H.,Ao Z.,&Dai Y..(2020).A Semiprognostic Phenology Model for Simulating Multidecadal Dynamics of Global Vegetation Leaf Area Index.Journal of Advances in Modeling Earth Systems,12(7).
MLA	Xin Q.,et al."A Semiprognostic Phenology Model for Simulating Multidecadal Dynamics of Global Vegetation Leaf Area Index".Journal of Advances in Modeling Earth Systems 12.7(2020).