Deriving a light use efficiency estimation algorithm using in situ hyperspectral and eddy covariance measurements for a maize canopy in Northeast China

doi:10.11646/phytotaxa.298.2.5

	Deriving a light use efficiency estimation algorithm using in situ hyperspectral and eddy covariance measurements for a maize canopy in Northeast China
	Zhang, Feng 1; Zhou, Guangsheng 1
	2017
发表期刊	ECOLOGY AND EVOLUTION
ISSN	2045-7758
卷号	7 期号:13 页码:4735-4744
摘要	We estimated the light use efficiency (LUE) via vegetation canopy chlorophyll content (CCCcanopy) based on in situ measurements of spectral reflectance, biophysical characteristics, ecosystem CO2 fluxes and micrometeorological factors over a maize canopy in Northeast China. The results showed that among the common chlorophyll-related vegetation indices (VIs), CCCcanopy had the most obviously exponential relationships with the red edge position (REP) (R-2 = .97, p < .001) and normalized difference vegetation index (NDVI) (R-2 = .91, p < .001). In a comparison of the indicating performances of NDVI, ratio vegetation index (RVI), wide dynamic range vegetation index (WDRVI), and 2-band enhanced vegetation index (EVI2) when estimating CCCcanopy using all of the possible combinations of two separate wavelengths in the range 400-1300 nm, EVI2 [1214, 1259] and EVI2 [726, 1248] were better indicators, with R-2 values of .92 and .90 (p < .001). Remotely monitoring LUE through estimating CCCcanopy derived from field spectrometry data provided accurate prediction of midday gross primary productivity (GPP) in a rainfed maize agro-ecosystem (R-2 = .95, p < .001). This study provides a new paradigm for monitoring vegetation GPP based on the combination of LUE models with plant physiological properties.
关键词	canopy chlorophyll content eddy covariance hyperspectral remote sensing light use efficiency spectral vegetation indices
学科领域	Plant Sciences
DOI	10.11646/phytotaxa.298.2.5
收录类别	SCI
语种	英语
WOS关键词	PHOTOSYNTHETICALLY ACTIVE RADIATION ; GROSS PRIMARY PRODUCTION ; NET ECOSYSTEM EXCHANGE ; REMOTE ESTIMATION ; CHLOROPHYLL CONTENT ; VEGETATION INDEXES ; SOIL RESPIRATION ; FOREST ; FRACTION ; FLUX
WOS记录号	WOS:000397950200005
出版者	WILEY
文献子类	Article
出版地	HOBOKEN
资助机构	National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41330531, 31661143028] ; China Special Fund for Meteorological Research in the Public Interest [GYHY201506001-3]
作者邮箱	gszhou@camscma.cn
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/22174
专题	植被与环境变化国家重点实验室
作者单位	1.Chinese Acad Meteorol Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Feng,Zhou, Guangsheng. Deriving a light use efficiency estimation algorithm using in situ hyperspectral and eddy covariance measurements for a maize canopy in Northeast China[J]. ECOLOGY AND EVOLUTION,2017,7(13):4735-4744.
APA	Zhang, Feng,&Zhou, Guangsheng.(2017).Deriving a light use efficiency estimation algorithm using in situ hyperspectral and eddy covariance measurements for a maize canopy in Northeast China.ECOLOGY AND EVOLUTION,7(13),4735-4744.
MLA	Zhang, Feng,et al."Deriving a light use efficiency estimation algorithm using in situ hyperspectral and eddy covariance measurements for a maize canopy in Northeast China".ECOLOGY AND EVOLUTION 7.13(2017):4735-4744.

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