Solar-induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest

Geophysical Research Letters

Volumn 42, Issue 8, 2015, Pages 2977-2987

  Yang, Xi ^a,b   Tang, Jianwu ^a,b   Mustard, John F ^a   Lee, Jung Eun ^a   Rossini, Micol ^c   Joiner, Joanna ^d   Munger, J William ^e   Kornfeld, Ari ^f   Richardson, Andrew D ^g  

^a BROWN UNIVERSITY   (United States)

^b ECOSYSTEMS CENTER   (United States)

^c UNIVERSITY OF MILANO BICOCCA   (Italy)

^d NASA GODDARD SPACE FLIGHT CENTER   (United States)

^e HARVARD UNIVERSITY   (United States)

^f GEOPHYSICAL LABORATORY   (United States)

^g HARVARD UNIVERSITY   (United States)

Author keywords

carbon cycle; chlorophyll fluorescence; gross primary production; plant physiology; remote sensing; spectroscopy

Indexed keywords

CHLOROPHYLL; FLUORESCENCE; REMOTE SENSING; SPECTROSCOPY; SURFACE MEASUREMENT;

CARBON CYCLES; CHLOROPHYLL FLUORESCENCE; GLOBAL OZONE MONITORING EXPERIMENTS; GROSS PRIMARY PRODUCTION; NEAR-SURFACE MEASUREMENTS; PHOTOSYNTHETICALLY ACTIVE RADIATION; PLANT PHYSIOLOGY; TEMPERATE DECIDUOUS FOREST;

FORESTRY;

CHLOROPHYLL; DECIDUOUS FOREST; NET PRIMARY PRODUCTION; PHOTOSYNTHESIS; SOLAR RADIATION; TEMPERATE FOREST; TIME SERIES;

EID: 84929507664     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2015GL063201     Document Type: Article

References (60)

1. Baker, N. R., (2008), Chlorophyll fluorescence: A probe of photosynthesis in vivo, Annu. Rev. Plant Biol., 59 (1), 89-113.
2. Baldocchi, D., et al., (2001), FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, Bull. Am. Meteorol. Soc., 82 (11), 2415-2434.
3. Balzarolo, M., et al., (2011), Ground-based optical measurements at European flux sites: A review of methods, instruments and current controversies, Sensors, 11, 7954-7981.
4. Beer, C., et al., (2010), Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate, Science, 329 (5993), 834-838.
5. Buschmann, C., (2007), Variability and application of the chlorophyll fluorescence emission ratio red/far-red of leaves, Photosynth. Res., 92 (2), 261-271.
6. Cheng, Y.-B., E. Middleton, Q. Zhang, K. Huemmrich, P. Campbell, L. Corp, B. Cook, W. Kustas, and, C. Daughtry, (2013), Integrating solar induced fluorescence and the photochemical reflectance index for estimating gross primary production in a cornfield, Remote Sens., 5 (12), 6857-6879, doi: 10.3390/rs5126857.
7. Ciais, P., et al., (2013), Carbon and Other Biogeochemical Cycles, in Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by, T. F. Stocker, et al., Cambridge Univ. Press, Cambridge, U. K., and New York.
8. Damm, A., et al., (2010), Remote sensing of Sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP), Global Change Biol., 16 (1), 171-186.
9. Damm, A., L. Guanter, W. Verhoef, D. Schläpfer, S. Garbari, and, M. Schaepman, (2015), Impact of varying irradiance on vegetation indices and chlorophyll fluorescence derived from spectroscopy data, Remote Sens. Environ., 156, 202-215, doi: 10.1016/j.rse.2014.09.031.
10. Daumard, F., Y. Goulas, S. Champagne, A. Fournier, A. Ounis, A. Olioso, and, I. Moya, (2012), Continuous monitoring of canopy level Sun-induced chlorophyll fluorescence during the growth of a Sorghum field, IEEE Trans. Geosci. Remote Sens., 50, doi: 10.1109/TGRS.2012.2193131.
11. Demmig-Adams, B., and, W. W. Adams, (2000), Photosynthesis: Harvesting sunlight safely, Nature, 403 (6768), 371-374.
12. Field, C. B., J. T. Randerson, and, C. M. Malmström, (1995), Global net primary production: Combining ecology and remote sensing, Remote Sens. Environ., 51 (1), 74-88.
13. Frankenberg, C., J. B. Fisher, J. Worden, G. Badgley, S. S. Saatchi, J.-E. Lee, G. C. Toon, A. Butz, M. Jung, and, A. Kuze, (2011), New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity, Geophys. Res. Lett., 38, L17706, doi: 10.1029/2011GL048738.
14. 2 retrievals, Atmos. Meas. Tech., 5 (8), 2081-2094.
15. Frankenberg, C., C. O'Dell, J. Berry, L. Guanter, J. Joiner, P. Köhler, R. Pollock, and, T. E. Taylor, (2014), Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2, Remote Sens. Environ., 147, 1-12.
16. Gamon, J. A., J. Penuelas, and, C. B. Field, (1992), A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency, Remote Sens. Environ., 41 (1), 35-44.
17. Garrity, S., L. Vierling, and, K. Bickford, (2010), A simple filtered photodiode instrument for continuous measurement of narrowband NDVI and PRI over vegetated canopies, Agric. For. Meteorol., 150 (3), 489496, doi: 10.1016/j.agrformet.2010.01.004.
18. Genty, B., J. M. Briantais, and, N. R. Baker, (1989), The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence, Biochim. Biophys. Acta, Gen. Subj., 990 (1), 87-92.
19. Gitelson, A., and, M. N. Merzlyak, (1994), Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. Leaves. Spectral features and relation to chlorophyll estimation, J. Plant Physiol., 143 (3), 286-292.
20. Gu, L., D. D. Baldocchi, S. C. Wofsy, J. W. Munger, J. J. Michalsky, S. P. Urbanski, and, T. A. Boden, (2003), Response of a deciduous forest to the Mount Pinatubo eruption: Enhanced photosynthesis, Science, 299 (5615), 2035-2038.
21. Guanter, L., C. Frankenberg, A. Dudhia, P. Lewis, J. Gõmez-Dans, A. Kuze, H. Suto, and, R. Grainger, (2012), Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements, Remote Sens. Environ., 121, doi: 10.1016/j.rse.2012.02.006.
22. Guanter, L., M. Rossini, R. Colombo, M. Meroni, C. Frankenberg, J.-E. Lee, and, J. Joiner, (2013), Using field spectroscopy to assess the potential of statistical approaches for the retrieval of sun-induced chlorophyll fluorescence from ground and space, Remote Sens. Environ., 133, doi: 10.1016/j.rse.2013.01.017.
23. Guanter, L., et al., (2014), Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence, Proc. Natl. Acad. Sci. U.S.A., 111 (14), E1327-E1333.
24. Hall, F. G., T. Hilker, N. C. Coops, A. Lyapustin, K. F. Huemmrich, E. Middleton, H. Margolis, G. Drolet, and, T. A. Black, (2008), Multi-angle remote sensing of forest light use efficiency by observing PRI variation with canopy shadow fraction, Remote Sens. Environ., 112, 3201-3211.
25. Hilker, T., N. Coops, F. Hall, T. Black, M. Wulder, Z. Nesic, and, P. Krishnan, (2008), Separating physiologically and directionally induced changes in PRI using BRDF models, Remote Sens. Environ., 112 (6), 2777-2788, doi: 10.1016/j.rse.2008.01.011.
26. Huete, A., K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and, L. G. Ferreira, (2002), Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sens. Environ., 83 (1-2), 195-213.
27. Jenkins, J. P., A. D. Richardson, B. H. Braswell, S. V. Ollinger, D. Y. Hollinger, and, M. L. Smith, (2007), Refining light-use efficiency calculations for a deciduous forest canopy using simultaneous tower-based carbon flux and radiometric measurements, Agric. For. Meteorol., 143 (1-2), 64-79.
28. Joiner, J., Y. Yoshida, A. P. Vasilkov, Y. Yoshida, L. A. Corp, and, E. M. Middleton, (2011), First observations of global and seasonal terrestrial chlorophyll fluorescence from space, Biogeosciences, 8 (3), 637-651.
29. Joiner, J., L. Guanter, R. Lindstrot, M. Voigt, A. P. Vasilkov, E. M. Middleton, K. F. Huemmrich, Y. Yoshida, and, C. Frankenberg, (2013), Global monitoring of terrestrial chlorophyll fluorescence from moderate spectral resolution near-infrared satellite measurements: Methodology, simulations, and application to GOME-2, Atmos. Meas. Tech., 6, 2803-2823, doi: 10.5194/amt-6-2803-2013.
30. Joiner, J., et al., (2014), The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange, Remote Sens. Environ., 152, 375-391.
31. Jung, M., et al., (2011), Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations, J. Geophys. Res., 116, G00J07, doi: 10.1029/2010JG001566.
32. Keller, M., D. Schimel, W. W. Hargrove Jr., and, F. M. Hoffman, (2008), A continental strategy for the National Ecological Observatory Network (NEON), Front. Ecol. Environ., 6 (5), 282-284.
33. Knyazikhin, Y., J. V. Martonchik, R. B. Myneni, D. J. Diner, and, S. W. Running, (1998), Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data, J. Geophys. Res., 103 (D24), 32,257-32,275.
34. Lawrence, D. M., et al., (2011), Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model, J. Adv. Model. Earth Syst., 3 (3), M03001, doi: 10.1029/2011MS000045.
35. Lee, J. E., et al., (2013), Forest productivity and water stress in Amazonia: Observations from GOSAT chlorophyll fluorescence, Proc. R. Soc. B, 280 (1761), 20,130,171.
36. Meroni, M., M. Rossini, L. Guanter, L. Alonso, U. Rascher, R. Colombo, and, J. Moreno, (2009), Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications, Remote Sens. Environ., 113 (10), 2037-2051.
37. Middleton, E., Y. Cheng, L. Corp, K. Huemmrich, P. Campbell, Q.-Y. Zhang, W. Kustas, and, A. Russ, (2009), Diurnal and seasonal dynamics of canopy-level solar-induced chlorophyll fluorescence and spectral reflectance indices in a cornfield, paper presented at Proc. 6th EARSeL SIG Workshop on Imaging Spectroscopy.
38. Parazoo, N. C., K. Bowman, J. B. Fisher, C. Frankenberg, D. B. Jones, A. Cescatti, O. Pérez-Priego, G. Wohlfahrt, and, L. Montagnani, (2014), Terrestrial gross primary production inferred from satellite fluorescence and vegetation models, Global Change Biol., 20 (10), 3103-3121, doi: 10.1111/gcb.12652.
39. 2-A band, IEEE Trans. Geosci. Remote Sens., 43 (12), 2860-2869.
40. Porcar-Castell, A., E. Tyystjarvi, J. Atherton, C. Tol, J. Flexas, E. Pfundel, J. Moreno, C. Frankenberg, and, J. Berry, (2014), Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: Mechanisms and challenges, J. Exp. Bot., doi: 10.1093/jxb/eru191.
41. Rascher, U., et al., (2009), 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, Biogeosciences, 6 (7), 1181-1198.
42. Reichstein, M., et al., (2005), On the separation of net ecosystem exchange into assimilation and ecosystem respiration: Review and improved algorithm, Global Change Biol., 11 (9), 1424-1439.
43. Richardson, A. D., and, G. P. Berlyn, (2002), Changes in foliar spectral reflectance and chlorophyll fluorescence of four temperate species following branch cutting, Tree Physiol., 22, 499-506.
44. Richardson, A. D., S. P. Duigan, and, G. P. Berlyn, (2002), An evaluation of noninvasive methods to estimate foliar chlorophyll content, New Phytol., 153 (1), 185-194.
45. 2 exchange in arctic tundra, Ecol. Appl., 21 (2), 477-489.
46. Rossini, M., M. Meroni, M. Migliavacca, G. Manca, S. Cogliati, L. Busetto, V. Picchi, A. Cescatti, G. Seufert, and, R. Colombo, (2010), High resolution field spectroscopy measurements for estimating gross ecosystem production in a rice field, Agric. For. Meteorol., 150, doi: 10.1016/j.agrformet.2010.05.011.
47. Rossini, M., et al., (2012), Remote sensing-based estimation of gross primary production in a subalpine grassland, Biogeosciences, 9, doi: 10.5194/bg-9-2565-2012.
48. Rossini, M., et al., (2015), Red and far-red sun-induced chlorophyll fluorescence as a measure of plant photosynthesis, Geophys. Res. Lett., doi: 10.1002/2014GL062943.
49. Running, S. W., R. R. Nemani, F. A. Heinsch, M. Zhao, M. Reeves, and, H. Hashimoto, (2004), A Continuous satellite-derived measure of global terrestrial primary production, BioScience, 54 (6), 547-560.
50. Ryu, Y., et al., (2011), Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales, Global Biogeochem. Cycles, 25, GB4017, doi: 10.1029/2011GB004053.
51. Schaefer, K., et al., (2012), A model-data comparison of gross primary productivity: Results from the North American Carbon Program site synthesis, J. Geophys. Res., 117, G03010, doi: 10.1029/2012JG001960.
52. 2 exchange on timescales from hourly to decadal at Harvard Forest, J. Geophys. Res., 112, G02020, doi: 10.1029/2006JG000293.
53. Van der Tol, C., W. Verhoef, J. Timmermans, A. Verhoef, and, Z. Su, (2009), An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance, Biogeosciences, 6 (12), 3109-3129.
54. Van der Tol, C., J. Berry, P. Campbell, and, U. Rascher, (2014), Models of fluorescence and photosynthesis for interpreting measurements of solar-induced chlorophyll fluorescence, J. Geophys. Res. Biogeosci., 119, 2312-2327, doi: 10.1002/2014JG002713.
55. Veefkind, J., et al., (2012), TROPOMI on the ESA Sentinel-5 Precursor: A GMES mission for global observations of the atmospheric composition for climate, air quality and ozone layer applications, Remote Sens. Environ., 120, 7083, doi: 10.1016/j.rse.2011.09.027.
56. Wong, C. Y. S., and, J. A. Gamon, (2014), Three causes of variation in the photochemical reflectance index (PRI) in evergreen conifers, New Phytol., doi: 10.1111/nph.13159.
57. Zarco-Tejada, P. J., V. González-Dugo, and, J. A. J. Berni, (2012), Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera, Remote Sens. Environ., 117, 322-337.
58. Zarco-Tejada, P. J., A. Morales, L. Testi, and, F. J. Villalobos, (2013), Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance, Remote Sens. Environ., 133, 102-115.
59. Zhang, Y., L. Guanter, J. A. Berry, J. Joiner, C. van der Tol, A. Huete, A. Gitelson, M. Voigt, and, P. Köhler, (2014), Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models, Global Change Biol., doi: 10.1111/gcb.12664.
60. Zhao, M., F. A. Heinsch, R. R. Nemani, and, S. W. Running, (2005), Improvements of the MODIS terrestrial gross and net primary production global data set, Remote Sens. Environ., 95 (2), 164-176.