Nocturnal Light Emitting Diode Induced Fluorescence (LEDIF): A new technique to measure the chlorophyll a fluorescence emission spectral distribution of plant canopies in situ
Atherton, Jon1; Liu, Weiwei2; Porcar-Castell, Albert1
刊名REMOTE SENSING OF ENVIRONMENT
2019-09-15
卷号231页码:12
关键词LEDIF Chlorophyll a fluorescence Plant functional traits FAST2017
ISSN号0034-4257
DOI10.1016/j.rse.2019.03.030
通讯作者Atherton, Jon(jon.atherton@helsinki.fi)
英文摘要Solar-induced chlorophyll a Fluorescence (SIF), which is distributed over a relatively broad (similar to 200 nm) spectral range, is a signal intricately connected to the efficiency of photosynthesis and is now observable from space. Variants of the Fraunhofer Line Depth/Discriminator (FLD) method are used as the basis of retrieval algorithms for estimating SIF from space. Although typically unobserved directly, recent advances in FLD-based algorithms now facilitate the prediction (by model inversion) of the canopy emitted fluorescence spectrum from the discrete-feature FLD retrievals. Here we present first canopy scale measurements of chlorophyll a fluorescence spectra emitted from Scots pine at two times of year, and also from a lingonberry dominated understory. We used a high power mul-tispectral Light Emitting Diode (LED) array to illuminate the respective canopies at night and measured under standardised conditions using a field spectrometer mounted in the nadir position above the canopy. We refer to the technique, which facilitates the in situ upscaling of a commonly measured leaf scale quantity to the canopy, as nocturnal LED-Induced chlorophyll a Fluorescence (LEDIF). The shape of the LEDIF spectra was dependant on the colour of the excitation light and also on the dominant species. Because we measured pine at two different times of year we were also able to show an increase in the canopy scale apparent quantum yield of fluorescence which was consistent with leaf-level increase in fluorescence yield recorded with a monitoring PAM fluorometer. The automation of the LEDIF technique could be used to estimate seasonal changes in canopy fluorescence spectra and yield from fixed or mobile platforms and provide a window into functional traits across species and architectures. LEDIF could also be used to evaluate FLD and inversion-based retrievals of canopy spectra, as well as different irradiance normalisation schemes typically applied to SIF data to account for the dependence of SIF on ambient light conditions.
资助项目Academy of Finland[293443] ; Academy of Finland[288039] ; Academy of Finland[319211] ; University of Chinese Academy of Sciences[UCAS [2015] 37]
WOS关键词PHOTOCHEMICAL REFLECTANCE INDEX ; SUN-INDUCED FLUORESCENCE ; ENERGY-DISSIPATION ; PHOTOSYSTEM-II ; PHOTOSYNTHESIS ; RED ; ACCLIMATION ; SCATTERING ; RETRIEVAL ; DYNAMICS
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者ELSEVIER SCIENCE INC
WOS记录号WOS:000484643900063
资助机构Academy of Finland ; University of Chinese Academy of Sciences
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/69751]  
专题中国科学院地理科学与资源研究所
通讯作者Atherton, Jon
作者单位1.Univ Helsinki, Opt Photosynth Lab, Inst Atmospher & Earth Syst Res Forest Sci, Helsinki, Finland
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Atherton, Jon,Liu, Weiwei,Porcar-Castell, Albert. Nocturnal Light Emitting Diode Induced Fluorescence (LEDIF): A new technique to measure the chlorophyll a fluorescence emission spectral distribution of plant canopies in situ[J]. REMOTE SENSING OF ENVIRONMENT,2019,231:12.
APA Atherton, Jon,Liu, Weiwei,&Porcar-Castell, Albert.(2019).Nocturnal Light Emitting Diode Induced Fluorescence (LEDIF): A new technique to measure the chlorophyll a fluorescence emission spectral distribution of plant canopies in situ.REMOTE SENSING OF ENVIRONMENT,231,12.
MLA Atherton, Jon,et al."Nocturnal Light Emitting Diode Induced Fluorescence (LEDIF): A new technique to measure the chlorophyll a fluorescence emission spectral distribution of plant canopies in situ".REMOTE SENSING OF ENVIRONMENT 231(2019):12.
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