IGSNRR OpenIR
Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves
Zhang, Qian1,2; Chen, Jing M.1,2,3; Ju, Weimin1,2; Wang, Huimin4; Qiu, Feng1,2; Yang, Fengting4; Fan, Weiliang5; Huang, Qing1,2; Wang, Ying-ping6; Feng, Yongkang1,2; Wang, Xiaojie7; Zhang, Fangmin8
2017-06-01
Source PublicationREMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
Volume194Pages:1-15
Corresponding AuthorJu, Weimin(juweimin@nju.edu.cn)
AbstractAccurate estimation of light use efficiency (LUE) of plant canopies is essential for calculating gross primary productivity (GPP) using LUE models and is also useful for calibrating process-based models for regional and global applications. A promising method for estimating LUE is through remote sensing of the photochemical reflectance index (PRI). However, there are internal (e.g. pigment concentrations) and external factors (e.g. environmental conditions and sun-target-view geometry) that affect PRI signals. Considering the reflectance difference between sunlit and shaded leaves, the ratio of observed canopy reflectance to leaf reflectance is used to represent the observed fraction of sunlit leaves, and the observed fraction of shaded leaves is calculated with a geometrical optical model. Thus, a canopy-level PRI observation is separated into sunlit and shaded PRI values, and a two-leaf canopy PRI (PRIt) is calculated as sum of these two values weighted by their respective sunlit and shaded leaf area indices. The usefulness of PRIt in assessing the canopy-level. LUE is evaluated with automated multi-angle PRI observations acquired on a flux tower from April to September 2013 over a sub-tropical coniferous forest in southern China. In each 15-minute observation cycle, PRI is observed at four view zenith angles fixed at (37 degrees, 47 degrees, 57 degrees) or (42 degrees, 52 degrees, 62 degrees) and the instantaneous solar zenith angle in the azimuth angle range from 45 degrees to 325 degrees (from the geodetic north). In both the half-hourly and daily time steps, PRIt can effectively improve (>50% and >35% increases in R-2, respectively) the ability as a proxy of LUE derived from the tower flux measurements over the big-leaf PRI taken as the arithmetic average of the multi-angle measurements in a given time interval. In the dry season from July to September, correlations of PRI with LUE at daily time steps are much stronger in the two-leaf case than in the big-leaf case. The correlation between PRIt and LUE is the strongest (R-2 = 0.785, p < 0.001) in July. PRIt is very effective in detecting the light and low-moderate drought stress on LUE at half-hourly time steps, while ineffective in detecting severe atmospheric water and heat stress, which is probably due to alternative radiative energy sink, i.e. photorespiration. Overall, the two-leaf approach well overcomes some external effects (e.g. sun-target-view geometry) that interfere with PRI signals. (C) 2017 Elsevier Inc. All rights reserved.
KeywordPhotochemical reflectance index (PRI) Light use efficiency (LUE) Sunlit and shaded leaves Half-hourly or daily time steps Light stress
DOI10.1016/j.rse.2017.03.012
WOS KeywordGROSS PRIMARY PRODUCTION ; NET PRIMARY PRODUCTION ; PHOTOSYNTHETIC DOWN-REGULATION ; SUBTROPICAL PINUS PLANTATION ; THERMAL-ENERGY DISSIPATION ; LEAF PIGMENT CONTENT ; CHLOROPHYLL FLUORESCENCE ; TERRESTRIAL ECOSYSTEM ; PRIMARY PRODUCTIVITY ; VEGETATION INDEXES
Indexed BySCI
Language英语
Funding ProjectKey Research and Development Programs for Global Change and Adaptation[2016YFA0600202] ; National Natural Science Foundation of China[41671343] ; National Natural Science Foundation of China[41401418] ; National Natural Science Foundation of China[31300420]
Funding OrganizationKey Research and Development Programs for Global Change and Adaptation ; National Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000401888600001
PublisherELSEVIER SCIENCE INC
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64497
Collection中国科学院地理科学与资源研究所
Corresponding AuthorJu, Weimin
Affiliation1.Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Int Inst Earth Syst Sci, Nanjing 210023, Jiangsu, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
3.Univ Toronto, Dept Geog & Program Planning, Toronto, ON M5S 3G3, Canada
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
5.Zhejiang A & F Univ, Sch Environm & Resources Sci, Linan 311300, Peoples R China
6.CSIRO Ocean & Atmosphere Flagship, PMB 1, Aspendale, Vic 3195, Australia
7.Chinese Acad Sci, Inst Soil Sci, Nanjing 210008, Jiangsu, Peoples R China
8.Nanjing Univ Informat Sci & Technol, Coll Appl Meteorol, Nanjing 210044, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Qian,Chen, Jing M.,Ju, Weimin,et al. Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves[J]. REMOTE SENSING OF ENVIRONMENT,2017,194:1-15.
APA Zhang, Qian.,Chen, Jing M..,Ju, Weimin.,Wang, Huimin.,Qiu, Feng.,...&Zhang, Fangmin.(2017).Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves.REMOTE SENSING OF ENVIRONMENT,194,1-15.
MLA Zhang, Qian,et al."Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves".REMOTE SENSING OF ENVIRONMENT 194(2017):1-15.
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