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	Parameterization of an ecosystem light-use-efficiency model for predicting savanna GPP using MODIS EVI
	Yu Q.
	2014
关键词	Remote Sensing Ecosystem Function Carbon Cycle Photosynthesis Phenology Gross Primary Production gross primary production photosynthetically active radiation enhanced vegetation index land-surface temperature net primary production eddy covariance data leaf-area index primary productivity atmospheric correction northern australia
英文摘要	Accurate estimation of carbon fluxes across space and time is of great importance for quantifying global carbon balances. Current production efficiency models for calculation of gross primary production (GPP) depend on estimates of light-use-efficiency (LUE) obtained from look-up tables based on biome type and coarse-resolution meteorological inputs that can introduce uncertainties. Plant function is especially difficult to parameterize in the savanna biome due to the presence of varying mixtures of multiple plant functional types (PFTs) with distinct phenologies and responses to environmental factors. The objective of this study was to find a simple and robust method to accurately up-scale savanna GPP from local, eddy covariance (EC) flux tower GPP measures to regional scales utilizing entirely remote sensing oservations. Here we assessed seasonal patterns of Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation products with seasonal EC tower GPP (GPP(EC)) at four sites along an ecological rainfall gradient (the North Australian Tropical Transect, NATT) encompassing tropical wet to dry savannas. The enhanced vegetation index (EVI) tracked the seasonal variations of GPP(EC) well at both site- and cross-site levels (R-2 = 0.84). The EVI relationship with GPP(EC) was further strengthened through coupling with ecosystem light-use-efficiency (eLUE), defined as the ratio of GPP to photosynthetically active radiation (PAR). Two savanna landscape eLUE models, driven by top-of-canopy incident PAR (PAR(TOC)) or top-of-atmosphere incident PAR (PAR(TOA)) were parameterized and investigated. GPP predicted using the eLUE models correlated well with GPP(EC), with R-2 of 0.85 (RMSE = 0.76 g C m(-2) d(-1)) and 0.88 (RMSE = 0.70 g C m(-2) d(-1)) for PAR(TOC) and PAR(TOA), respectively, and were significantly improved compared to the MOD17 GPP product (R-2 = 0.58, RMSE = 1.43 g C m(-2) d(-1)). The eLUE model also minimized the seasonal hysteresis observed between green-up and brown-down in CPPEC and MODIS satellite product relationships, resulting in a consistent estimation of GPP across phenophases. The eWE model effectively integrated the effects of variations in canopy photosynthetic capacity and environmental stress on photosynthesis, thus simplifying the up-scaling of carbon fluxes from tower to regional scale. The results from this study demonstrated that region-wide savanna GPP can be accurately estimated entirely with remote sensing observations without dependency on coarse-resolution ground meteorology or estimation of light-use-efficiency parameters. (C) 2014 Elsevier Inc. All rights reserved.
出处	Remote Sensing of Environment
卷	154
页	253-271
收录类别	SCI
语种	英语
ISSN号	0034-4257
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/29683]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Yu Q.. Parameterization of an ecosystem light-use-efficiency model for predicting savanna GPP using MODIS EVI. 2014.

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