Near-distance imaging spectroscopy investigating chlorophyll fluorescence and photosynthetic activity of grassland in the daily course
Alexander Ač A B E , Zbyněk Malenovský C , Jan Hanuš A , Ivana Tomášková A , Otmar Urban A and Michal V. Marek A DA Laboratory of Plants Ecological Physiology, Division of Ecosystem Processes, Institute of Systems Biology and Ecology, Poříčí 3b, CZ-60300 Brno, Czech Republic.
B Agricultural Faculty, University of South Bohemia, Studentská 13, CZ-370 05 České Budějovice, Czech Republic.
C Remote Sensing Laboratories, Department of Geography, University of Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland.
D Mendel University, Zemědělská 1, CZ-613 00 Brno, Czech Republic.
E Corresponding author. Email: acalex@usbe.cas.cz
Functional Plant Biology 36(11) 1006-1015 https://doi.org/10.1071/FP09154
Submitted: 17 June 2009 Accepted: 20 September 2009 Published: 5 November 2009
Abstract
Detection of grassland canopy chlorophyll fluorescence (Chl-F) conducted with an imaging spectroradiometer provided evidence of potential remote sensing estimation of steady-state Chl-F (Chl-Fs). Daily near-nadir views of extremely high spatial resolution hyperspectral images were acquired from a distance of 4 m for temperate montane grassland in the Czech Republic. Simultaneously, measurements of Chl-F and total chlorophyll content (Chla + b) were made on a single leaf at ground level were collected. A specifically designed ‘shade removal’ experiment revealed the influence of dynamic physiological plant processes on hyperspectral reflectance of three wavelengths: 532, 686 and 740 nm. Based on this information, the vegetation indexes R686/R630, R740/R800 and PRI calculated as (R532–R570)/(R532+R570) were tested for statistical significance with directly measured Chl-F parameters (maximum fluorescence yield, Fv/Fm; steady-state chlorophyll fluorescence, Chl-Fs and actual quantum yield, ФII). The grassland species under investigation were: Festuca rubra agg. (L.), Hieracium sp., Plantago sp., Nardus stricta (L.) and Jacea pseudophrygia (C.A. Meyer). The coefficients of determination (R2) for best-fit relationships between PRI-ФII and PRI-Chl-Fs, measured in the daily course, show a high variability of 0.23–0.78 and 0.20–0.65, respectively. Similarly, R2 for the R686/R630-ФII and R686/R630-Chl-Fs relationships varied between 0.20–0.73 and 0.41–0.70, respectively. The highest average R2 values were found between PRI and Chla + b (0.63) and R686/R630 and Chla + b (0.72). The ratio R740/R800 did not yield a statistically significant relation with Chl-F parameters.
Additional keywords: actual fluorescence yield, chlorophyll fluorescence, grassland ecosystem, hyperspectral remote sensing, vegetation indexes.
Acknowledgements
This work is part of the research supported by the National Research Grant Program No. 2B06068 (ISBE ASCR) and by the grants AV0Z60870520 (ISBE ASCR), ForChange (SP/2D1/70/08, Ministry of Environment of the Czech Republic) and 6007665808 (IPB). Mrs Gabrielle Johnson is gratefully acknowledged for the language and style corrections.
Ahl DE,
Gower ST,
Mackay DS,
Burrows SN,
Norman JM, Diak GR
(2004) Heterogeneity of light use efficiency in a northern Wisconsin forest: implications for modeling net primary production with remote sensing. Remote Sensing of Environment 93, 168–178.
| Crossref | GoogleScholarGoogle Scholar |
Barton CVM, North PRJ
(2001) Remote sensing of canopy light use efficiency using the photochemical reflectance index – model and sensitivity analysis. Remote Sensing of Environment 78, 264–273.
| Crossref | GoogleScholarGoogle Scholar |
Buschmann C,
Nagel E,
Szabo K, Kocsanyi L
(1994) Spectrometer for fast measurements of in-vivo reflectance, absorptance, and fluorescence in the visible and near-infrared. Remote Sensing of Environment 48, 18–24.
| Crossref | GoogleScholarGoogle Scholar |
Canadell JG,
Le Queré C,
Raupach MR,
Field CB,
Buitenhuis ET,
Ciais P,
Conway TJ,
Gillet NP,
Houghton RA, Marland G
(2007) Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks. Proceedings of the National Academy of Sciences of the United States of America 104, 18 866–18 870.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Carter GA
(1994) Ratios of leaf reflectances in narrow wavebands as indicators of plant stress. International Journal of Remote Sensing 15, 697–703.
| Crossref | GoogleScholarGoogle Scholar |
Dobrowski SZ,
Pushnik JC,
Zarco-Tejada PJ, Ustin SL
(2005) Simple reflectance indices track heat and water stress-induced changes in steady-state chlorophyll fluorescence at the canopy scale. Remote Sensing of Environment 97, 403–414.
| Crossref | GoogleScholarGoogle Scholar |
Drolet GG,
Huemmrich KF,
Hall FG,
Middleton EM,
Black TA,
Barr AG, Margolis HA
(2005) A MODIS-derived photochemical reflectance index to detect inter-annual variations in the photosynthetic light-use efficiency of a boreal deciduous forest. Remote Sensing of Environment 98, 212–224.
| Crossref | GoogleScholarGoogle Scholar |
Evain S,
Flexas J, Moya I
(2004) A new instrument for passive remote sensing: 2. Measurement of leaf and canopy reflectance changes at 531 nm and their relationship with photosynthesis and chlorophyll fluorescence. Remote Sensing of Environment 91, 175–185.
| Crossref | GoogleScholarGoogle Scholar |
Filella I,
Penuelas J,
Llorens L, Estiarte M
(2004) Reflectance assessment of seasonal and annual changes in biomass and CO2 uptake of a mediterranean shrubland submitted to experimental warming and drought. Remote Sensing of Environment 90, 308–318.
| Crossref | GoogleScholarGoogle Scholar |
Flexas J,
Briantais JM,
Cerovic Z,
Medrano H, Moya I
(2000) Steady-state and maximum chlorophyll fluorescence responses to water stress in grapevine leaves: a new remote sensing system. Remote Sensing of Environment 73, 283–297.
| Crossref | GoogleScholarGoogle Scholar |
Flexas J,
Escalona JM,
Evain S,
Gulias J,
Moya I,
Osmond CB, Medrano H
(2002) Steady-state chlorophyll fluorescence (F
s) measurements as a tool to follow variations of net CO2 assimilation and stomatal conductance during water-stress in C3 plants. Physiologia Plantarum 114, 231–240.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Gamon JA, Surfus JS
(1999) Assessing leaf pigment content and activity with a reflectometer. New Phytologist 143, 105–117.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Gamon JA,
Field CB,
Bilger W,
Björkman O,
Fredeen AL, Penuelas J
(1990) Remote-sensing of the xanthophyll cycle and chlorophyll fluorescence in sunflower leaves and canopies. Oecologia 85, 1–7.
| Crossref | GoogleScholarGoogle Scholar |
Gamon JA,
Penuelas J, Field CB
(1992) A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment 41, 35–44.
| Crossref | GoogleScholarGoogle Scholar |
Genty B,
Briantais JM, Baker NR
(1989) The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence. Biochimica et Biophysica Acta 990, 87–92.
|
CAS |
Grace J,
Nichol C,
Disney M,
Lewis P,
Quaife T, Bowyer P
(2007) Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence? Global Change Biology 13, 1484–1497.
| Crossref | GoogleScholarGoogle Scholar |
Guo JM, Trotter CM
(2004) Estimating photosynthetic light-use efficiency using the photochemical reflectance index: variations among species. Functional Plant Biology 31, 255–265.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Guo JM, Trotter CM
(2006) Estimating photosynthetic light-use efficiency using the photochemical reflectance index: the effects of short-term exposure to elevated CO2 and low temperature. International Journal of Remote Sensing 27, 4677–4684.
| Crossref | GoogleScholarGoogle Scholar |
Hall FG,
Hilker T,
Coops NC,
Lyapustin A,
Huemmrich KF,
Middleton E,
Margolis H,
Drolet G, Black TA
(2008) Multi-angle remote sensing of forest light use efficiency by observing PRI variation with canopy shadow fraction. Remote Sensing of Environment 112, 3201–3211.
| Crossref | GoogleScholarGoogle Scholar |
Heber U,
Neimanis S, Lange OL
(1986) Stomatal aperture, photosynthesis and water fluxes in mesophyll cells as affected by the abscission of leaves. Simultaneous measurements of gas exchange, light scattering and chlorophyll fluorescence. Planta 167, 554–562.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Hilker T,
Coops NC,
Hall FG,
Black TA,
Wulder MA,
Nesic Z, Krishnan P
(2008) Separating physiologically and directionally induced changes in PRI using BRDF models. Remote Sensing of Environment 112, 2777–2788.
| Crossref | GoogleScholarGoogle Scholar |
Inoue Y, Penuelas J
(2006) Relationship between light use efficiency and photochemical reflectance index in soybean leaves as affected by soil water content. International Journal of Remote Sensing 27, 5109–5114.
| Crossref | GoogleScholarGoogle Scholar |
Kautsky H, Hirsch A
(1931) Neue Versuche zur Kohlensaüreassimilation. Naturwissenschaften 19, 964.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Kitajima M, Butler WL
(1975) Quenching of chlorophyll fluorescence and primary photochemistry in chloroplasts by dibromothymoquinone. Biochimica et Biophysica Acta 376, 105–115.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Li XP,
Bjorkman O,
Shih C,
Grossman AR,
Rosenquist M,
Jansson S, Niyogi KK
(2000) A pigment-binding protein essential for regulation of photosynthetic light harvesting. Nature 403, 391–395.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Monteith JL
(1977) Climate and efficiency of crop production in Britain. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 281, 277–294.
| Crossref | GoogleScholarGoogle Scholar |
Moran JA,
Mitchell AK,
Goodmanson G, Stockburger KA
(2000) Differentiation among effects of nitrogen fertilization treatments on conifer seedlings by foliar reflectance: a comparison of methods. Tree Physiology 20, 1113–1120.
|
CAS |
PubMed |
Moya I,
Camenen L,
Evain S,
Goulas Y,
Cerovic ZG,
Latouche G,
Flexas J, Ounis A
(2004) A new instrument for passive remote sensing. 1. Measurements of sunlight-induced chlorophyll fluorescence. Remote Sensing of Environment 91, 186–197.
| Crossref | GoogleScholarGoogle Scholar |
Nichol CJ,
Huemmrich KF,
Black TA,
Jarvis PG,
Walthall CL,
Grace J, Hall FG
(2000) Remote sensing of photosynthetic-light-use efficiency of boreal forest. Agricultural and Forest Meteorology 101, 131–142.
| Crossref | GoogleScholarGoogle Scholar |
Nichol CJ,
Lloyd J,
Shibistova O,
Arneth A,
Roser C,
Knohl A,
Matsubara S, Grace J
(2002) Remote sensing of photosynthetic-light-use efficiency of a Siberian boreal forest. Tellus. Series B, Chemical and Physical Meteorology 54, 677–687.
| Crossref | GoogleScholarGoogle Scholar |
Rahman AF,
Gamon JA,
Sims DA, Schmidts M
(2003) Optimum pixel size for hyperspectral studies of ecosystem function in southern California chaparral and grassland. Remote Sensing of Environment 84, 192–207.
| Crossref | GoogleScholarGoogle Scholar |
Ruban AV,
Young AJ, Horton P
(1993) Induction on non-photochemical energy dissipation and absorbance changes in leaves. Evidence for changes in the state of the light harvesting system of photosystem II in vivo. Plant Physiology 102, 741–750.
|
CAS |
PubMed |
Running SW,
Baldocchi DD,
Turner DP,
Gower ST,
Bakwin PS, Hibbard KA
(1999) A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS satellite data. Remote Sensing of Environment 70, 108–127.
| Crossref | GoogleScholarGoogle Scholar |
Savitzky A, Golay MJE
(1964) Smoothing and differentiation of data by simplified least squares procedures. Analytical Chemistry 36, 1627–1639.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Schreiber U, Klughammer C
(2008) Non-photochemical fluorescence quenching and quantum yields in PSI and PSII: analysis of heat-induced limitations using maxi-imaging-PAM and dual-PAM-100. PAM Application Notes 1, 15–18.
Sims DA,
Luo HY,
Hastings S,
Oechel WC,
Rahman AF, Gamon JA
(2006) Parallel adjustments in vegetation greenness and ecosystem CO2 exchange in response to drought in a southern California chaparral ecosystem. Remote Sensing of Environment 103, 289–303.
| Crossref | GoogleScholarGoogle Scholar |
Smith RCG,
Adams J,
Stephens DJ, Hick PT
(1995) Forecasting wheat yield in a mediterranean-type environment from the NOAA satellite. Australian Journal of Agricultural Research 46, 113–125.
| Crossref | GoogleScholarGoogle Scholar |
Soukupová J,
Cséfalvay L,
Urban O,
Košvancova M,
Marek M,
Rascher U, Nedbal L
(2008) Annual variation of the steady-state chlorophyll fluorescence emission of evergreen plants in temperate zone. Functional Plant Biology 35, 63–76.
| Crossref | GoogleScholarGoogle Scholar |
Suarez L,
Zarco-Tejada PJ,
Sepulcre-Canto G,
Perez-Priego O,
Miller JR,
Jimenez-Munoz JC, Sobrino J
(2008) Assessing canopy PRI for water stress detection with diurnal airborne imagery. Remote Sensing of Environment 112, 560–575.
| Crossref | GoogleScholarGoogle Scholar |
Urban O,
Ac A,
Kalina J,
Priwitzer T,
Sprtova M,
Spunda V, Marek MV
(2007) Temperature dependences of carbon assimilation processes in four dominant species from mountain grassland ecosystem. Photosynthetica 45, 392–399.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Weng JH,
Chen YN, Liao TS
(2006a) Relationships between chlorophyll fluorescence parameters and photochemical reflectance index of tree species adapted to different temperature regimes. Functional Plant Biology 33, 241–246.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Weng JH,
Jhaung LH,
Jiang JY,
Lai GM, Liao TS
(2006b) Down-regulation of photosystem 2 efficiency and spectral reflectance in mango leaves under very low irradiance and varied chilling treatments. Photosynthetica 44, 248–254.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Zarco-Tejada PJ,
Miller JR,
Mohammed GH, Noland TL
(2000a) Chlorophyll fluorescence effects on vegetation apparent reflectance: I. Leaf-level measurements and model simulation. Remote Sensing of Environment 74, 582–595.
| Crossref | GoogleScholarGoogle Scholar |
Zarco-Tejada PJ,
Miller JR,
Mohammed GH,
Noland TL, Sampson PH
(2000b) Chlorophyll fluorescence effects on vegetation apparent reflectance: II. Laboratory and airborne canopy-level measurements with hyperspectral data. Remote Sensing of Environment 74, 596–608.
| Crossref | GoogleScholarGoogle Scholar |
Zarco-Tejada PJ,
Miller JR,
Mohammed GH,
Noland TL, Sampson PH
(2001) Estimation of chlorophyll fluorescence under natural illumination from hyperspectral data. International Journal of Applied Earth Observation and Geoinformation 3, 321–327.
| Crossref | GoogleScholarGoogle Scholar |
Zarco-Tejada PJ,
Miller JR,
Mohammed GH,
Noland TL, Sampson PH
(2002) Vegetation stress detection through chlorophyll a+b estimation and fluorescence effects on hyperspectral imagery. Journal of Environmental Quality 31, 1433–1441.
|
CAS |
PubMed |
Zarco-Tejada PJ,
Pushnik JC,
Dobrowski S, Ustin SL
(2003) Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects. Remote Sensing of Environment 84, 283–294.
| Crossref | GoogleScholarGoogle Scholar |