Reviews and Syntheses: Optical sampling of the flux tower footprint

Biogeosciences

Volumn 12, Issue 14, 2015, Pages 4509-4523

  Gamon, J A ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ASSESSMENT METHOD; BIOSPHERE; CARBON SEQUESTRATION; CONCEPTUAL FRAMEWORK; ECOPHYSIOLOGY; ECOSYSTEM HEALTH; EXPERIMENTAL STUDY; FLUORESCENCE; FLUX MEASUREMENT; LIGHT USE EFFICIENCY; LITERATURE REVIEW; METEOROLOGY; NDVI; NUMERICAL MODEL; OPTICAL PROPERTY; REMOTE SENSING; SAMPLING; SPATIOTEMPORAL ANALYSIS; VEGETATION STRUCTURE;

EID: 84938485979     PISSN: 17264170     EISSN: 17264189     Source Type: Journal    
DOI: 10.5194/bg-12-4509-2015     Document Type: Review

References (94)

1. Anderson, M. C., Norman, J. M., Kustas, W. P., Houborg, R., Starks, P. J., and Agam, N.: A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales, Remote Sens. Environ., 112, 4227-4241, 2008.
2. Balzarolo, M., Anderson, K., Nichol, C., Rossini, M., Vescovo, L., Arriga, N., Wohlfahrt, G., Calvet, J.-C., Carrara, A., Cerasoli, S., Cogliati, S., Daumard, F., Eklundh, L., Elbers, J. A., Evrendilek, F., Handcock, R. N., Kaduk, J., Klumpp, K., Longdoz, B., Matteucci, G., Meroni, M., Montagnani, L., Ourcival., J.-M., Sánchez-Cañete, E. P., Pontailler, J.-V., Juszczak, R., Scholes, B., and Martín, M. P.: Ground-Based Optical Measurements at European Flux Sites: A Review of Methods, Instruments and Current Controversies, Sensors, 11, 7954-7981, 2011.
3. Barton, C. V. M. and North, P. R. J.: Remote sensing of canopy light use efficiency using the photochemical reflectance index - Model and sensitivity analysis, Remote Sens. Environ., 78, 264-273, 2001.
4. Björkman, O.: Physiological Plant Ecology, New Series, Physiological Plant Ecology I. Responses to the Physical Environment, edited by: Lange, O. L., Nobel, P. S., Osmond, C. B., and Ziegler, H., 12A, 57-107, 1981.
5. Björkman, O. and Demmig-Adams, B.: Regulation of photosynthetic light energy capture, conversion, and dissipation in leaves of higher plants, in: Ecophysiology of Photosynthesis, edited by: Schulze, E.-D., Caldwell, M. M., and Pospisilova, J., Springer, Berlin Heidelberg New York, 27-47,1994.
6. Bloom, A. J., Chapin, F. S., and Mooney, H. A.: Resource limitation in plants-an economic analogy, Annu. Rev. Ecol. Syst., 16, 363-392, 1985.
7. Brugnoli, E. and Björkman, O.: Chloroplast movements in leaves - influence on chlorophyll fluorescence and measurements of light-induced absorbance changes related to Δ-pH and zeaxanthin formation., Photosyn. Res., 32, 23-35, 1992.
8. Burba, G. and Anderson, D.: A brief practical guide to eddy covariance flux measurements: principles and workflow examples for scientific and industrial applications, LI-COR Biogeosciences, 2010.
9. Campbell, P. K. E., Middleton, E. M., Thome, K. J., Kokaly, R. F., Huemmrich, K. F., Lagomasino, D., Novick, K. A., and Brunsell, N. A.: EO-1 Hyperion reflectance time series at calibration and vaildation sites: stability and sensitivity to seasonal dynamics, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 6, 276-290, 2013.
10. Carter, G., Theisen, A., and Mitchell, R.: Chlorophyll fluorescence measured using the Fraunhofer line depth principle and relationship to photosynthetic rate in the field, Plant, Cell Environ., 13, 79-83, 1990.
11. Damm, A., Elbers, J., Erler, A., Gioli, B., Hamdi, K., Hutjes, R., Kosvancova, M., Meroni, M., Miglietta, F., Moersch, A., Moreno, J., Schickling, A., Sonnenschein, R., Udelhoven, T., van der Linden, S., Hostert, P., and Rascher, U.: Remote sensing of sun induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP), Global Change Biol., 16, 171-186, 2010.
12. Defries, R. S. and Townshend, J. R. G.: NDVI-derived land cover classifications at a global-scale, Int. J. Remote Sens., 15, 3567-3586, 1994.
13. Demmig, B., Winter, K., Krüger, A., and Czygan, F.-C.: Photoinhibition and zeaxanthin formation in intact leaves - a possible role of the xanthophyll cycle in the dissipation of excess light energy, Plant Physiol., 84, 218-224, 1987.
14. Drolet, G. G., Middleton, E. M., Huemmrich, K. F., Hall, F. G., Amiro, B. D., Barr, A. G., Black, T. A., McCaughey, J. H., and Margolis, H. A.: Regional mapping of gross light-use efficiency using MODIS spectral indices, Remote Sens. Environ., 112, 3064-3078, 2008.
15. Eklundh, L., Jin, H., Schubert, P., Guzinski, R., and Heliasz, M.: An optical sensor network for vegetation phenology monitoring and satellite data calibration, Sensors, 11, 7678-7709, 2011.
16. Elias, B.: Pilotless drones: Background and considerations for Congress regarding unmanned aircraft operations in the national airspace system, Congressional Research Service, Library of Congress, 2012.
17. Frankenberg, C., Fisher, J. B., Worden, J., Badgley, G., Saatchi, S. S., Lee, J.-E., Toon, G. C., Butz, A., Jung, M., Kuze, A., and Yokota, T.: 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, 2011.
18. Gamon, J. A. and Berry, J. A.: Facultative and constitutive pigment effects on the Photochemical Reflectance Index (PRI) in sun and shade conifer needles, Isr. J. Plant Sci., 60, 85-95, 2012.
19. Gamon, J. A. and Bond, B.: Effects of irradiance and photosynthetic downregulation on the photochemical reflectance index in Douglas-fir and ponderosa pine, Remote Sens. Environ., 135, 141-149, 2013.
20. Gamon, J. A. and Surfus, J. S.: Assessing leaf pigment content and activity with a reflectometer, New Phytol., 143, 105-117, 1999.
21. Gamon, J. A., Field, C. B., Bilger, W., Björkman, O., Fredeen, A. L., and Peñuelas, J.: Remote-sensing of the xanthophyll cycle and chlorophyll fluorescence in sunflower leaves and canopies, Oecologia, 85, 1-7, 1990.
22. Gamon, J. A., Peñuelas, J., and Field, C. B.: A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency, Remote Sens. Environ., 41, 35-44, 1992.
23. Gamon, J. A., Field, C. B., Goulden, M. L., Griffin, K. L., Hartley, A. E., Joel, G., Peñuelas, J., and Valentini, R.: Relationships between NDVI, canopy structure, and photosynthesis in three Californian vegetation types, Ecol. Appl., 5, 28-41, 1995.
24. Gamon, J. A., Serrano, L., and Surfus, J. S.: The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels, Oecologia, 112, 492-501, 1997.
25. Gamon, J. A., Field, C. B., Fredeen, A. L., and Thayer, S.: Assessing photosynthetic downregulation in sunflower stands with an optically-based model, Photosyn. Res., 67, 113-125, 2001.
26. Gamon, J. A., Kitajima, K., Mulkey, S. S., Serrano, L., and Wright, S. J.: Diverse optical and photosynthetic properties in a neotropical forest during the dry season: implications for remote estimation of photosynthesis, BioTropica, 37, 547-560, 2005.
27. Gamon, J. A., Cheng, Y. F., Claudio, H., MacKinney, L., and Sims, D. A.: A mobile tram system for systematic sampling of ecosystem optical properties, Remote Sens. Environ., 103, 246-254, 2006a.
28. Gamon, J. A., Rahman, A. F., Dungan, J. L., Schildhauer, M., and Huemmrich, K. F.: Spectral Network (SpecNet) - What is it and why do we need it?, Remote Sens. Environ., 103, 227-235, 2006b.
29. Gamon, J. A., Coburn, C., Flanagan, L. B., Huemmrich, K. F., Kiddle, C., Sanchez-Azofeifa, G. A., Thayer, D. R., Vescovo, L., Gianelle, D., Sims, D. A., Rahman, A. F., and Pastorello, G. Z.: SpecNet revisited: bridging flux and remote sensing communities, Can. J. Remote Sens., 36, S376-S390, 2010.
30. Gamon, J. A., Kovalchuck, O., Wong, C. Y. S., Harris, A., and Garrity, S. R.: Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors, Biogeosciences, 12, 4149-4159, doi:10.5194/bg-12-4149-2015, 2015.
31. Garbulsky, M. F., Peñuelas, J., Papale, D., Ardö, J., Goulden, M. L., Kiely, G., Richardson, A. D., Rotenberg, E., Veenendaal, E. M., and Filella, I.: Patterns and controls of the variability of radiation use efficiency and primary productivity across terrestrial ecosystems, Global Ecol. Biogeogr., 19, 253-267, 2010.
32. Garbulsky, M. F., Peñuelas, J., Gamon, J., Inoue, Y., and Filella, I.: The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies: A review and meta-analysis, Remote Sens. Environ., 115, 281-297, 2011.
33. Garrity, S. R., Eitel, J. U. H., and Vierling, L. A.: Disentangling the relationships between plant pigments and the photochemical reflectance index reveals a new approach for remote estimation of carotenoid content, Remote Sens. Environ., 115, 628-635, 2011.
34. Gitelson, A. A. and Gamon, J. A.: The need for a common basis for defining light-use efficiency: Implications for productivity estimation, Remote Sens. Environ., 156, 196-201, 2015.
35. Goerner, A., Reichstein, M., and Rambal, S.: Tracking the seasonal drought effects on ecosystem light use efficiency with satellite-based PRI in a Mediterranean forest, Remote Sens. Environ., 113, 1101-1111, 2009.
36. Goulden, M. L., Daube, B. C., Fan, S.-M., Sutton, D. J., Bazzaz, A., Munger, J. W., and Wofsy, S. C.: Physiological responses of a black spruce forest to weather, J. Geophys. Res.-Atmos., 102, 28987-28996, 1997.
37. Goward, S. N., Tucker, C. J., and Dye, D. G.: North-American vegetation patterns observed with the NOAA-7 Advanced Very High Resolution Radiometer, Vegetatio, 64, 3-14, 1985.
38. Grime, J. P.: Evidence for the existence of three primary strategies in plants and its relevance to ecological and evolutionary theory, Am. Nat., 111, 1169-1194, 1977.
39. Guarini, R., Nichol, C., Clement, R., Loizzo, R., Grace, J., and Borghetti, M.: The utility of MODIS-sPRI for investigating the photosynthetic light-use efficiency in a Mediterranean deciduous forest, Int. J. Remote Sens., 35, 6157-6172, 2014.
40. Hall, F. G., Huemmrich, K. F., Goetz, S. J., Sellers P. J., and Nickeson, J. E.: Satellite remote sensing of surface energy balance: success, failures, and unresolved issues in FIFE, J. Geophys. Res., 97, 19061-19089, 1992.
41. Harris, A., Gamon, J., Pastorello, G., and Wong, C.: Retrieval of the photochemical reflectance index for assessing xanthophyll cycle activity: a comparison of near-surface optical sensors, Biogeosciences, 11, 6277-6292, doi:10.5194/bg-11-6277-2014, 2014.
42. Heinsch, F. A., Zhao, M., Running, S.W., Kimball, J. S., Nemani, R. R., Davis, K. J., Bolstad, P. V., Cook, B. D., Desai, A. R., Ricciuto, D. M., Law, B. E., Oechel, W. C., Kwon, H., Luo, H., Wofsy, S. C., Dunn, A. L., Munger, J. W., Baldocchi, D. D., Xu, L., Hollinger, D. Y., Richardson, A. D., Stoy, P. C., Siqueira, M. B. S., Monson, R. K., Burns, S. P., and Flanagan, L. B.: Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations, IEEE Trans. Geosci. Remote Sens., 44, 1908-1925, 2006.
43. Hilker, T., Coops, N. C., Nesic, Z., Wulder, M. A., and Black, A. T.: Instrumentation and approach for unattended year round tower based measurements of spectral reflectance, Comput. Electron. Agr., 56, 72-84, 2007.
44. Hilker, T., Coops, N. C., Hall, F. G., Black, T. A., Wulder, M. A., Nesic, Z., and Krishnan, P.: Separating physiologically and directionally induced changes in PRI using BRDF models, Remote Sens. Environ., 112, 2777-2788, 2008.
45. Hilker, T., Hall, F. G., Coops, N. C., Lyapustin, A., Wang, Y., Nesic, Z., Grant, N., Black, T. A., Wulder, M. A., Kljun, N., Hopkinson, C., and Chasmer, L.: Remote sensing of photosynthetic light-use efficiency across two forested biomes: Spatial scaling, Remote Sens. Environ., 114, 2863-2874, 2010.
46. Hilker, T., Gitelson, A., Coops, N. C., Hall, F. G., and Black, T. A.: Tracking plant physiological properties from multi-angular tower-based remote sensing, Oecologia, 165, 865-876, 2011.
47. Huemmrich, K. F., Black, T. A., Jarvis, P. G., McCaughey, J. H., and Hall, F. G.: High temporal resolution NDVI phenology from micrometeorological radiation sensors, J. Geophys. Res.-Atmos., 104, 27935-27944, 1999.
48. Huemmrich, K. F., Gamon, J. A., Tweedie, C. E., Oberbauer, S. F., Kinoshita, G., Houston, S., Kuchy, A., Hollister, R. D., Kwon, H., Mano, M., Harazono, Y., Webber, P. J., and Oechel, W. C.: Remote sensing of tundra gross ecosystem productivity and light use efficiency under varying temperature and moisture conditions, Remote Sens. Environ., 114, 481-489, 2010.
49. Huemmrich, K. F., Gamon, J. A., Tweedie, C. E., Campbell, P. K. E., Landis, D. R., and Middleton, E. M.: Arctic tundra vegetation functional types based on photosynthetic physiology and optical properties, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 6, 265-275, 2013.
50. Joiner, J., Yoshida, Y., Vasilkov, A. P., Yoshida, Y., Corp, L. A., and Middleton, E. M.: First observations of global and seasonal terrestrial chlorophyll fluorescence from space, Biogeosciences, 8, 637-651, doi:10.5194/bg-8-637-2011, 2011.
51. Joiner, J., Yoshida, Y., Vasilkov, A. P., Schaefer, K., Jung, M., Guanter, L., Zhang, Y., Garrity, S., Middleton, E. M., Huemmrich, K. F., Gu, L., and Belelli-Marchesini, L.: 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, 2014.
52. Jones, H. G.: Plants and Microclimate: a Quantitative Approach to Environmental Plant Physiology, Cambridge University Press, 2013.
53. Knohl, A. and Baldocchi, D. D.: Effects of diffuse radiation on canopy gas exchange processes in a forest ecosystem, J. Geophys. Res.-Biogeo., 113, G02023, doi:10.1029/2007jg000663, 2008.
54. Kumar, M. and Monteith, J. L.: Remote sensing of plant growth, in: Plants and the Daylight Spectrum, edited by: Smith, H., Academic Press, London, 133-144, 1981.
55. Long, S. P. and Bernacchi, C. J.: Gas exchange measurements, what can they tell us about the underlying limitations to photosynthesis? Procedures and sources of error, J. Exp. Bot., 54, 2393-2401, doi:10.1093/jxb/erg262, 2003.
56. Meroni, M., Rossini, M., Guanter, L., Alonso, L., Rascher, U., Colombo, R., and Moreno, J.: Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications, Remote Sens. Environ., 113, 2037-2051, 2009.
57. Michaletz, S. T., Cheng, D., Kerkhoff, A. J., and Enquist, B. J.: Convergence of terrestrial plant production across global climate gradients, Nature, 512, 39-43, 2014.
58. Middleton, E. M., Cheng, Y.-B., Hilker, T., Black, T. A., Krishnan, P., Coops, N. C., and Huemmrich, K. F.: Linking foliage spectral responses to canopy-level ecosystem photosynthetic light-use efficiency at a Douglas-fir forest in Canada, Can. J. Remote Sens., 35, 166-188, 2009.
59. Monteith, J. L.: Climate and efficiency of crop production in Britain, Philos. T. Roy. Soc. B, 281, 277-294, 1977.
60. Norman, J. M. and Arkebauer, T. J.: Predicting canopy light-use efficiency from leaf characteristics, Chapter 5, in: Modeling Crop Photosynthesis - from Biochemistry to Canopy, edited by: Boote, K. J. and Loomis, R. S., CCSA Special Publication, 19, 75-94, 1991.
61. Osmond, C. B. and Chow, W. S.: Ecology of photosynthesis in the sun and shade - summary and prognostications, Aust. J. Plant Physiol., 15, 1-9, 1988.
62. Peng, Y., Gitelson, A. A., Keydan, G., Rundquist, D. C., and Moses, W.: Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content, Remote Sens. Environ., 115, 978-989, 2011.
63. Peñuelas, J., Filella, I., and Gamon, J. A.: Assessment of photosynthetic radiation-use efficiency with spectral reflectance, New Phytol., 131, 291-296, 1995.
64. Peñuelas, J., Marino, G., Llusia, J., Morfopoulos, C., Farré-Armengol, G., and Filella, I.: Photochemical reflectance index as an indirect estimator of foliar isoprenoid emissions at the ecosystem level, Nat. Communicat., 4, 2604, doi:10.1038/ncomms3604, 2013.
65. Porcar-Castell, A., Tyystjärvi, E., Atherton, J., van der Tol, C., Flexas, J., Pfündel, E. E., Moreno, J., Frankenberg, C., and Berry, J. A.: Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges, J. Exp. Bot., 65, 4065-4095, 2014.
66. Reichstein, M., Stoy, P. C., and Desai, A. R.: Partitioning of net fluxes, in: Eddy Covariance: A Practical Guide to Measurement and Data, edited by: Aubinet, M., Vesala, T., and Papale, D., Springer, Dordrecht, 263-289, 2012.
67. Richardson, A. D., Braswell, B. H., Hollinger, D. Y., Jenkins, J. P., and Ollinger, S. V.: Near-surface remote sensing of spatial and temporal variation in canopy phenology, Ecol. Appl., 19, 1417-1428, 2009.
68. Ruimy, A., Saugier, B., and Dedieu, G.: Methodology for the estimation of terrestrial net primary production from remotely sensed data, J. Geophys. Res.-Atmos., 99, 5263-5283, 1994.
69. Running, S.W., Nemani, R. R., Heinsch, F. A., Zhao, M. S., Reeves, M., and Hashimoto, H.: A continuous satellite-derived measure of global terrestrial primary production, BioScience, 54, 547-560, 2004.
70. Schull, M. A., Anderson, M. C., Houborg, R., Gitelson, A., and Kustas, W.P.: Thermal-based modeling of coupled carbon, water and energy fluxes using nominal light use efficiencies constrained by leaf chlorophyll observations, Biogeosciences, 12, 1511-1523, doi:10.5194/bg-12-1511-2015, 2015.
71. Sellers, P. J.: Canopy reflectance, photosynthesis, and transpiration, II. The role of biophysics in the linearity of their interdependence, Remote Sens. Environ., 21, 143-183, 1987.
72. Sellers, P. J., Berry, J. A., Collatz, G. J., Field, C. B., and Hall, F. G.: Canopy reflectance, photosynthesis, and transpiration, III. A reanalysis using improved leaf models and a new canopy integration scheme, Remote Sens. Environ., 42, 187-216, 1992a.
73. Sellers, P. J., Hall, F. G., Asrar, G., Strebel, D. E., and Murphy, R. E.: An overview of the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE), J. Geophys. Res., 97, 18345-18371, 1992b.
74. 2 on climate, Science, 271, 1402-1406, 1996.
75. Sellers, P. J., Hall, F. G., Kelly, R. D., Black, A., Baldocchi, D., Berry, J., Ryan, M., Ranson, K. J., Crill, P. M., Lettenmaier, D. P., Margolis, H., Cihlar, J., Newcomer, J., Fitzjarrald, D., Jarvis, P. G., Gower, S. T., Halliwell, D., Williams, D., Goodison, B., Wickland, D. E., and Guertin, F. E.: BOREAS in 1997: Experiment overview, scientific results, and future directions, J. Geophys. Res.-Atmos, 102, 28731-28769, 1997.
76. Serbin, S. P., Dillaway, D. N., Kruger, E. L., and Townsend, P. A.: Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature, J. Exp. Bot., 63, 489-502, 2012.
77. Sims, D. A. and Gamon, J. A.: Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages, Remote Sens. Environ., 81, 337-354, 2002.
78. Sims, D. A. and Gamon, J. A.: Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: a comparison of indices based on liquid water and chlorophyll absorption features, Remote Sens. Environ., 84, 526-537, 2003.
79. 2 exchange in response to drought in a Southern California chaparral ecosystem, Remote Sens. Environ., 103, 289-303, 2006.
80. Soudani, K., Hmimina, G., Dufrêne, E., Berveiller, D., Delpierre, N., Ourcival, J.-M., Rambal, S., and Joffre, R.: Relationships between photochemical reflectance index and light-use efficiency in deciduous and evergreen broadleaf forests, Remote Sens. Environ., 144, 73-84, 2014.
81. Tucker, C. J., Townshend, J. R. G., and Goff, T. E.: African landcover classification using satellite data, Science, 227, 369-375, 1985.
82. Ustin, S. L. and Gamon, J. A.: Remote sensing of plant functional types, New Phytol., 186, 795-816, 2010.
83. Ustin, S. L., Roberts, D. A., Gamon, J. A., Asner, G. P., and Green, R. O.: Using imaging spectroscopy to study ecosystem processes and properties, BioScience, 54, 523-534, 2004.
84. Ustin, S. L., Gitelson, A. A., Jacquemoud, S., Schaepman, M. E., Asner, G. P., Gamon, J. A., and Zarco-Tejada, P.: Retrieval of foliar information about plant pigment systems from high resolution spectroscopy, Remote Sens. Environ. 113, 67-77, 2009.
85. van der Tol, C., Verhoef, W., Timmermans, J., Verhoef, A., and Su, Z., An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance, Biogeosciences, 6, 3109-3129, doi:10.5194/bg-6-3109-2009, 2009.
86. van der Tol, C., Berry, J. A., Campbell, P. K. E., and Rascher, U.: Models of fluorescence and photosynthesis for interpreting measurements of solar-induced chlorophyll fluorescence. J. Geophys. Res.-Biogeoscience, 119, 2312-2327, 2014.
87. Vesala, T., Kljun, N., Rannik, Ü., Rinne, J., Sogachev, A., Markkanen, T., Sabelfeld, K., Foken, Th., and Leclerc, M. Y.: Flux and concentration footprint modelling: State of the art, Environ. Pollut., 152, 653-666, 2008.
88. von Caemmerer, S. and Farquhar, G. D.: Some relationships between the biochemistry of photosynthesis and the gas-exchange of leaves, Planta, 153, 376-387, 1981.
89. 2 in a midlatitude forest, Science, 260, 1314-1317, 1993.
90. Wong, C. Y. S. and Gamon, J. A.: Three causes of variation in the photochemical reflectance index (PRI) in evergreen conifers, New Phytol., 206, 187-195, 2015a.
91. Wong, C. Y. S. and Gamon, J. A.: The photochemical reflectance index provides an optical indicator of spring photosynthetic activation in evergreen conifers, New Phytol., 206, 196-208, 2015b.
92. Wright, I. J., Reich, P. B., Westoby, M., Ackerly, D. D., Baruch, Z., Bongers, F., Cavender-Bares, J., Chapin, T., Cornelissen, J. H. C., Diemer, M., Flexas, J., Garnier, E., Groom, P. K., Gulias, J., Hikosaka, K., Lamont, B. B., Lee, T., Lee, W., Lusk, C., Midgley, J. J., Navas, M.-L., Niinemets, Ü., Oleksyn, J., Osada, N., Poorter, H., Poot, P., Prior, L., Pyankov, V. I., Roumet, C., Thomas, S. C., Tjoelker, M. G., Veneklaas, E. J., and Villar, R.: The worldwide leaf economics spectrum, Nature, 428, 821-827, 2004.
93. Zhang, L.-X., Zhou, D.-C., Fan, J.-W., and Hu, Z.-M.: Comparison of four light use efficiency models for estimating terrestrial gross primary production, Ecol. Model., 300, 30-39, 2015.
94. Zygielbaum, A. I., Arkebauer, T. J., Walter-Shea, E. A., and Scoby, D. L.: Detection and measurement of vegetation photoprotection stress response using PAR reflectance, Isr. J. Plant Sci., 60, 37-47, 2012.