Analysis of Red and Far-Red Sun-Induced Chlorophyll Fluorescence and Their Ratio in Different Canopies Based on Observed and Modeled Data

Sun-induced canopy chlorophyll fluorescence in both the red (FR) and far-red (FFR) regions was estimated across a range of temporal scales and a range of species from different plant functional types using high resolution radiance spectra collected on the ground. Field measurements were collected with a state-of-the-art spectrometer setup and standardized methodology. Results showed that different plant species were characterized by different fluorescence magnitude. In general, the highest fluorescence emissions were measured in crops followed by broadleaf and then needleleaf species. Red fluorescence values were generally lower than those measured in the far-red region due to the reabsorption of FR by photosynthetic pigments within the canopy layers. Canopy chlorophyll fluorescence was related to plant photosynthetic capacity, but also varied according to leaf and canopy characteristics, such as leaf chlorophyll concentration and Leaf Area Index (LAI). Results gathered from field measurements were compared to radiative transfer model simulations with the Soil-Canopy Observation of Photochemistry and Energy fluxes (SCOPE) model. Overall, simulation results confirmed a major contribution of leaf chlorophyll concentration and LAI to the fluorescence signal. However, some discrepancies between simulated and experimental data were found in broadleaf species. These discrepancies may be explained by uncertainties in individual species LAI estimation in mixed forests or by the effect of other model parameters and/or model representation errors. This is the first study showing sun-induced fluorescence experimental data on the variations in the two emission regions and providing quantitative information about the absolute magnitude of fluorescence emission from a range of vegetation types.

[1]  M. Rossini,et al.  Solar‐induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest , 2015 .

[2]  Luis Alonso,et al.  Improved Fraunhofer Line Discrimination Method for Vegetation Fluorescence Quantification , 2008, IEEE Geoscience and Remote Sensing Letters.

[3]  Michele Meroni,et al.  Retrieval of vegetation fluorescence from ground-based and airborne high resolution measurements , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[4]  C. Buschmann Variability and application of the chlorophyll fluorescence emission ratio red/far-red of leaves , 2007, Photosynthesis Research.

[5]  C. Frankenberg,et al.  Investigating the usefulness of satellite-derived fluorescence data in inferring gross primary productivity within the carbon cycle data assimilation system , 2015 .

[6]  Michele Meroni,et al.  Assessment of oak forest condition based on leaf biochemical variables and chlorophyll fluorescence. , 2006, Tree physiology.

[7]  M. S. Moran,et al.  Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence , 2014, Proceedings of the National Academy of Sciences.

[8]  F. Baret,et al.  PROSPECT: A model of leaf optical properties spectra , 1990 .

[9]  C. Frankenberg,et al.  Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2 , 2013 .

[10]  Absorption Maxima,et al.  Chlorophylls and Carotenoids: Measurement and Characterization by UV-VIS Spectroscopy , 2001 .

[11]  W. Verhoef,et al.  Retrieval of sun-induced fluorescence using advanced spectral fitting methods , 2015 .

[12]  M. Rossini,et al.  The hyperspectral irradiometer, a new instrument for long-term and unattended field spectroscopy measurements. , 2011, The Review of scientific instruments.

[13]  W. Verhoef,et al.  An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance , 2009 .

[14]  R. Colombo,et al.  Sun‐induced fluorescence – a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant , 2015, Global change biology.

[15]  Philip Lewis,et al.  Hyperspectral remote sensing of foliar nitrogen content , 2012, Proceedings of the National Academy of Sciences.

[16]  Luis Alonso,et al.  Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications , 2009 .

[17]  R. Samson,et al.  Bidirectional sun-induced chlorophyll fluorescence emission is influenced by leaf structure and light scattering properties — A bottom-up approach , 2015 .

[18]  C. Frankenberg,et al.  Prospects for Chlorophyll Fluorescence Remote Sensing from the Orbiting Carbon Observatory-2 , 2014 .

[19]  M. Rossini,et al.  High resolution field spectroscopy measurements for estimating gross ecosystem production in a rice field , 2010 .

[20]  R. Colombo,et al.  Red and far red Sun‐induced chlorophyll fluorescence as a measure of plant photosynthesis , 2015 .

[21]  Albert Olioso,et al.  Continuous Monitoring of Canopy Level Sun-Induced Chlorophyll Fluorescence During the Growth of a Sorghum Field , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Bruce K. Wylie,et al.  Integration of CO 2 flux and remotely-sensed data for primary production and ecosystem respiration analyses in the Northern Great Plains: potential for quantitative spatial extrapolation , 2005 .

[23]  J. Dash,et al.  The MERIS terrestrial chlorophyll index , 2004 .

[24]  J. Berry,et al.  Models of fluorescence and photosynthesis for interpreting measurements of solar-induced chlorophyll fluorescence , 2014, Journal of geophysical research. Biogeosciences.

[25]  C. Frankenberg,et al.  Using field spectroscopy to assess the potential of statistical approaches for the retrieval of sun-induced chlorophyll fluorescence from ground and space , 2013 .

[26]  J. Moreno,et al.  Evaluating the predictive power of sun-induced chlorophyll fluorescence to estimate net photosynthesis of vegetation canopies: A SCOPE modeling study , 2016 .

[27]  C. Frankenberg,et al.  New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity , 2011, Geophysical Research Letters.

[28]  M. Rossini,et al.  Continuous and long-term measurements of reflectance and sun-induced chlorophyll fluorescence by using novel automated field spectroscopy systems , 2015 .

[29]  K. Moffett,et al.  Remote Sens , 2015 .

[30]  José A. Sobrino,et al.  CEFLES2: the remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the oxygen absorption bands , 2009 .

[31]  Philip Lewis,et al.  Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements , 2012 .

[32]  Philip Lewis,et al.  Spectral invariants and scattering across multiple scales from within-leaf to canopy , 2007 .

[33]  H. Lichtenthaler,et al.  Chlorophylls and Carotenoids: Measurement and Characterization by UV‐VIS Spectroscopy , 2001 .

[34]  Ismael Moya,et al.  Effect of canopy structure on sun-induced chlorophyll fluorescence , 2012 .

[35]  Lawrence A. Corp,et al.  Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers , 2016, Remote. Sens..

[36]  W. Verhoef,et al.  Performance of spectral fitting methods for vegetation fluorescence quantification , 2010 .

[37]  J. Moreno,et al.  Global sensitivity analysis of the SCOPE model: What drives simulated canopy-leaving sun-induced fluorescence? , 2015 .

[38]  Steven J. Schwartz,et al.  Current protocols in food analytical chemistry || chlorophylls and carotenoids: measurement and characterization by uv-vis spectroscopy , 2001 .

[39]  R. Colombo,et al.  Leaf level detection of solar induced chlorophyll fluorescence by means of a subnanometer resolution spectroradiometer , 2006 .

[40]  Qing Xiao,et al.  Unified Optical-Thermal Four-Stream Radiative Transfer Theory for Homogeneous Vegetation Canopies , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[41]  Z. Cerovic,et al.  Quantitative study of fluorescence excitation and emission spectra of bean leaves. , 2006, Journal of photochemistry and photobiology. B, Biology.

[42]  H. Walz Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges , 2014 .

[43]  W. Verhoef Light scattering by leaf layers with application to canopy reflectance modeling: The Scattering by Arbitrarily Inclined Leaves (SAIL) model , 1984 .

[44]  W. Verhoef Modelling vegetation fluorescence observations : abstract. , 2011 .

[45]  M. Rossini,et al.  Chlorophyll concentration mapping with MIVIS data to assess crown discoloration in the Ticino Park oak forest , 2010 .

[46]  Hartmut K. Lichtenthaler,et al.  Leaf chlorophyll fluorescence corrected for re-absorption by means of absorption and reflectance measurements , 1998 .

[47]  Uwe Rascher,et al.  Meta-analysis assessing potential of steady-state chlorophyll fluorescence for remote sensing detection of plant water, temperature and nitrogen stress , 2015 .

[48]  W. Verhoef,et al.  Modeling the impact of spectral sensor configurations on the FLD retrieval accuracy of sun-induced chlorophyll fluorescence , 2011 .

[49]  M. Rossini,et al.  Sun-induced chlorophyll fluorescence and photochemical reflectance index improve remote-sensing gross primary production estimates under varying nutrient availability in a typical Mediterranean savanna ecosystem , 2015 .