Directly estimating diurnal changes in GPP for C3 and C4 crops using far-red sun-induced chlorophyll fluorescence

Agricultural and Forest Meteorology

Volumn 232, Issue , 2017, Pages 1-9

  Liu, Liangyun ^a   Guan, Linlin ^a,b   Liu, Xinjie ^a,b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

C3 C4 crops; Chlorophyll fluorescence; Eddy covariance; Gross primary production; Light use efficiency; Photosynthesis

Indexed keywords

C3 PLANT; C4 PLANT; CHLOROPHYLL; DIURNAL VARIATION; EDDY COVARIANCE; FLUORESCENCE; LIGHT QUALITY; LIGHT USE EFFICIENCY; NET PRIMARY PRODUCTION; SATELLITE DATA; SOLAR RADIATION; WHEAT;

TRITICUM AESTIVUM; ZEA MAYS;

EID: 84982823037     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2016.06.014     Document Type: Article

References (86)

1. Alonso, L., Gomez-Chova, L., Vila-Frances, J., Amoros-Lopez, J., Guanter, L., Calpe, J., Moreno, J., Improved fraunhofer line discrimination method for vegetation fluorescence quantification. IEEE Geosci. Remote Sens. Lett. 5:4 (2008), 620–624.
2. Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., Rödenbeck, C., Arain, M.A., Baldocchi, D., Bonan, G.B., Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. Science 329:5993 (2010), 834–838.
3. 2 concentrating function of C4 photosynthesis: a biochemical model. Proceedings of the Fourth International Congress on Photosynthesis, 4–9 September 1977, University of Reading, Reading, 1977, 119–131.
4. Berry, J., Frankenberg, C., Wennberg, P., Baker, I., Bowman, K.W., Castro-Contreas, S., Cendrero-Mateo, M.P., Damm, A., Drewry, D., Ehlmann, B., New methods for measurement of photosynthesis from space. Presented at the 2013 NASA Terrestrial Ecology Science Team Meeting, La Jolla, CA, April 30–May 2, 2013, 2013 http://www.kiss.caltech.edu/workshops/photosynthesis2012/NewMethod2.pdf.
5. Campbell, P.K., Middleton, E.M., Corp, L.A., Kim, M.S., Contribution of chlorophyll fluorescence to the apparent vegetation reflectance. Sci. Total. Environ. 404:2-3 (2008), 433–439.
6. Cendrero-Mateo, M.P., Carmo-Silva, A.E., Porcar-Castell, A., Hamerlynck, E.P., Papuga, S.A., Moran, M.S., Dynamic response of plant chlorophyll fluorescence to light, water and nutrient availability. Funct. Plant Biol. 42 (2015), 746–757.
7. Cheng, Y.-B., Middleton, E., Zhang, Q., Huemmrich, K., Campbell, P., Corp, L., Cook, B., Kustas, W., Daughtry, C., Integrating solar induced fluorescence and the photochemical reflectance index for estimating gross primary production in a cornfield. Remote Sens. 5:12 (2013), 6857–6879.
8. Coops, N.C., Hilker, T., Hall, F.G., Nichol, C.J., Drolet, G.G., Estimation of light-use efficiency of terrestrial ecosystems from space: a status report. Bioscience 60:10 (2010), 788–797.
9. Damm, A., Elbers, J.A.N., 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., Rascher, U.W.E., Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP). Glob. Change Biol. 16:1 (2010), 171–186.
10. Damm, A., Erler, A., Hillen, W., Meroni, M., Schaepman, M.E., Verhoef, W., Rascher, U., Modeling the impact of spectral sensor configurations on the FLD retrieval accuracy of sun-induced chlorophyll fluorescence. Remote Sens. Environ. 115:8 (2011), 1882–1892.
11. Damm, A., Guanter, L., Laurent, V.C.E., Schaepman, M.E., Schickling, A., Rascher, U., FLD-based retrieval of sun-induced chlorophyll fluorescence from medium spectral resolution airborne spectroscopy data. Remote Sens. Environ. 147 (2014), 256–266.
12. Damm, A., Guanter, L., Paul-Limoges, E., van der Tol, C., Hueni, A., Buchmann, N., Eugster, W., Ammann, C., Schaepman, M.E., Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: an assessment based on observational and modeling approaches. Remote Sens. Environ. 166 (2015), 91–105.
13. Daumard, F., Champagne, S., Fournier, A., Goulas, Y., Ounis, A., Hanocq, J.F., Moya, I., A field platform for continuous measurement of canopy fluorescence. IEEE Trans. Geosci. Remote 48:9 (2010), 3358–3368.
14. 2 assimilation in maize leaves be predicted accurately from chlorophyll fluorescence analysis?. Photosynth. Res. 37:2 (1993), 89–102.
15. Frankenberg, C., Fisher, J.B., Worden, J., Badgley, G., Saatchi, S.S., Lee, J.-E., Toon, G.C., Butz, A., Jung, M., Kuze, A., Yokota, T., New global observations of the terrestrial carbon cycle from GOSAT: patterns of plant fluorescence with gross primary productivity. Geophys. Res. Lett., 38(17), 2011.
16. Frankenberg, C., O'Dell, C., Guanter, L., McDuffie, J., Remote sensing of nearinfrared chlorophyll fluorescence from space in scattering atmospheres: implications for its retrieval and interferences with atmospheric CO2 retrievals. Atmos. Meas. Tech. 5:8 (2012), 2081–2094.
17. Frankenberg, C., O'Dell, C., Berry, J., Guanter, L., Joiner, J., Köhler, P., Pollock, R., Taylor, T.E., Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2. Remote Sens. Environ. 147 (2014), 1–12.
18. Garbulsky, M., Filella, I., Verger, A., Peñuelas, J., Photosynthetic light use efficiency from satellite sensors: from global to Mediterranean vegetation. Environ. Exp. Bot. 103 (2014), 3–11.
19. Gitelson, A.A., Buschmann, C., Lichtenthaler, H.K., Leaf chlorophyll fluorescence corrected for re-absorption by means of absorption and reflectance measurements. J. Plant Physiol. 152:2 (1998), 283–296.
20. Gitelson, A.A., Viña, A., Verma, S.B., Rundquist, D.C., Arkebauer, T.J., Keydan, G., Leavitt, B., Ciganda, V., Burba, G.G., Suyker, A.E., Relationship between gross primary production and chlorophyll content in crops: implications for the synoptic monitoring of vegetation productivity. J. Geophys. Res. Atmos. 111:D8 (2006), 1984–2012.
21. Gitelson, A.A., Peng, Y., Arkebauer, T.J., Suyker, A.E., Productivity, absorbed photosynthetically active radiation, and light use efficiency in crops: implications for remote sensing of crop primary production. J. Plant Physiol. 177 (2015), 100–109.
22. Goulden, M.L., Daube, B.C., Fan, S.M., Sutton, D.J., Bazzaz, A., Munger, J.W., Wofsy, S.C., Physiological responses of a black spruce forest to weather. J. Geophys. Res. Atmos. 102:D24 (1997), 28987–28996 (1984–2012).
23. Gowik, U., Westhoff, P., The path from C3 to C4 photosynthesis. Plant Physiol. 155:1 (2011), 56–63.
24. Guan, L., Liu, L., Peng, D., Hu, Y., Jiao, Q., Liu, L., Monitoring the distribution of C3 and C4 grasses in a temperate grassland in northern China using moderate resolution imaging spectroradiometer normalized difference vegetation index trajectories. J. Appl. Remote Sens. 6:1 (2012), 063535-1–063535-13.
25. Guan, K., Berry, J.A., Zhang, Y., Joiner, J., Guanter, L., Badgley, G., Lobell, D.B., Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence. Glob. Change Biol. 22 (2016), 716–726.
26. Guanter, L., Alonso, L., Gómez-Chova, L., Meroni, M., Preusker, R., Fischer, J., Moreno, J., Developments for vegetation fluorescence retrieval from spaceborne high-resolution spectrometry in the O2-A and O2-B absorption bands. J. Geophys. Res., 115(D19), 2010.
27. Guanter, L., Frankenberg, C., Dudhia, A., Lewis, P.E., Gómez-Dans, J., Kuze, A., Suto, H., Grainger, R.G., Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements. Remote Sens. Environ. 121 (2012), 236–251.
28. Guanter, L., Rossini, M., Colombo, R., Meroni, M., Frankenberg, C., Lee, J.-E., Joiner, J., 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. 133:0 (2013), 52–61.
29. Guanter, L., Zhang, Y., Jung, M., Joiner, J., Voigt, M., Berry, J.A., Frankenberg, C., Huete, A.R., Zarco-Tejada, P., Lee, J.-E., Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. Proc. Natl. Acad. Sci. U. S. A. 111:14 (2014), E1327–E1333.
30. Guanter, L., Zhang, Y., Jung, M., Joiner, J., Voigt, M., Berry, J.A., Frankenberg, C., Huete, A.R., Zarco-Tejada, P., Lee, J.-E., Reply to Magnani et al.: linking large-scale chlorophyll fluorescence observations with cropland gross primary production. Proc. Natl. Acad. Sci. U. S. A., 111(25), 2014 E2511–E2511.
31. Hirasawa, T., Hsiao, T.C., Some characteristics of reduced leaf photosynthesis at midday in maize growing in the field. Field Crop. Res. 62:1 (1999), 53–62.
32. Heinsch, F.A., Zhao, M.S., Running, S.W., Kimball, J.S., Nemani, R.R., et al. Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE T. Geosci. Remote Sens. 44:7 (2006), 1908–1925.
33. Huete, A., Ponce-Campos, G., Zhang, Y., Restrepo-Coupe, N., Ma, X., Moran, M.S., Monitoring photosynthesis from space. Thenkabail, Prasad S., (eds.) Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, Chapter: Monitoring Photosynthesis from Space, 2015, CRC Press, Boca Raton, 3–22.
34. Jacquemoud, S., Baret, F., PROSPECT: a model of leaf optical properties spectra. Remote Sens. Environ. 34:2 (1990), 75–91.
35. Jia, Z., Liu, S., Xu, Z., Chen, Y., Zhu, M., Validation of remotely sensed evapotranspiration over the Hai River Basin, China. J. Geophys. Res. Atmos. 117:D13 (2012), 1984–2012.
36. Jiang, D., Wang, N., Yang, X., Liu, H., Dynamic properties of absorbed photosynthetic active eadiation and its relation to crop yield. Syst. Sciemces Compr. Stud. Agric. 18:1 (2002), 51–54.
37. Joiner, J., Yoshida, Y., Vasilkov, A.P., Corp, L.A., Middleton, E.M., First observations of global and seasonal terrestrial chlorophyll fluorescence from space. Biogeosciences 8:3 (2011), 637–651.
38. Joiner, J., Guanter, L., Lindstrot, R., Voigt, M., Vasilkov, A.P., Middleton, E.M., Huemmrich, K.F., Yoshida, Y., Frankenberg, C., Global monitoring of terrestrial chlorophyll fluorescence from moderate spectral resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2. Atmos. Meas. Tech. 6:10 (2013), 2803–2823.
39. 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., 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 (2014), 375–391.
40. Köhler, P., Guanter, L., Joiner, J., A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data. Atmos. Meas. Tech. Discuss. 8 (2015), 2589–2608.
41. Koffi, E., Rayner, P., Norton, A., Frankenberg, C., Scholze, M., Investigating the usefulness of satellite derived fluorescence data in inferring gross primary productivity within the carbon cycle data assimilation system. Biogeosci. Discuss. 12:1 (2015), 707–749.
42. Lara, M.V., Andreo, C.S., C4 plants adaptation to high levels of CO2 and to drought environments. Shanker, A., (eds.) Abiotic Stress in Plants-Mechanisms and Adaptations, 2011, InTech, 415–428.
43. Lee, J.E., Berry, J.A., Tol, C., Yang, X., Guanter, L., Damm, A., et al. Simulations of chlorophyll fluorescence incorporated into the Community Land Model version 4. Glob. Change Biol. 21:9 (2015), 3469–3477.
44. Li, J., Yu, Q., Sun, X., Tong, X., Ren, C., Wang, J., Liu, E., Zhu, Z., Yu, G., Carbon dioxide exchange and the mechanism of environmental control in a farmland ecosystem in North China Plain. Sci. China-Earth Sci. 49:2 (2006), 226–240.
45. Liu, L., Cheng, Z., Mapping C3 and C4 plant functional types using separated solar-induced chlorophyll fluorescence from hyperspectral data. Int. J. Remote Sens. 32:24 (2011), 9171–9183.
46. Liu, X., Liu, L., Assessing band sensitivity to atmospheric radiation transfer for space-based retrieval of solar-induced chlorophyll fluorescence. Remote Sens. 6:11 (2014), 10656–10675.
47. Liu, L., Zhang, Y., Wang, J., Zhao, C., Detecting solar-induced chlorophyll fluorescence from field radiance spectra based on the Fraunhofer line principle. IEEE Trans. Geosci. Remote 43:4 (2005), 827–832.
48. Liu, S., Xu, Z., Wang, W., Jia, Z., Zhu, M., Bai, J., Wang, J., A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem. Hydrol. Earth Syst. Sci. 15:4 (2011), 1291–1306.
49. Liu, S., Xu, Z., Zhu, Z., Jia, Z., Zhu, M., Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River Basin, China. J. Hydrol. 487 (2013), 24–38.
50. Liu, X., Liu, L., Zhang, S., Zhou, X., New spectral fitting method for full-spectrum solar-induced chlorophyll fluorescence retrieval based on principal components analysis. Remote Sens. 7:8 (2015), 10626–10645.
51. Ma, M., Che, T., Li, X., Xiao, Q., Zhao, K., Xin, X., A prototype network for remote sensing validation in China. Remote Sens. 7:5 (2015), 5187–5202.
52. Magnania, F., Raddib, S., Mohammedc, G., Elizabeth, M., Let's exploit available knowledge on vegetation fluorescence. Proc. Natl. Acad. Sci. U. S. A., 111(25), 2014 E2510–E2510.
53. Maier, S.W., Günther, K.P., Stellmes, M., Sun-induced fluorescence: a new tool for precision farming. McDonald, M., Schepers, J., Tartly, L., v. Toai, T., Major, D., (eds.) Digital Imaging and Spectral Techniques: Applications to Precision Agriculture and Crop Physiology, 2003, American Society of Agronomy Special Publication, Madison, WI, USA, 209–222.
54. Meroni, M., Rossini, M., Guanter, L., Alonso, L., Rascher, U., Colombo, R., Moreno, J., Remote sensing of solar-induced chlorophyll fluorescence: review of methods and applications. Remote Sens. Environ. 113:10 (2009), 2037–2051.
55. Monteith, J., Solar radiation and productivity in tropical ecosystems. J. Appl. Ecol., 1972, 747–766.
56. Monteith, J., Reassessment of maximum growth rates for C3 and C4 crops. Exp. Agric. 14:01 (1978), 1–5.
57. Moya, I., Cerovic, Z.G., Remote sensing of chlorophyll fluorescence: instrumentation and analysis. Papageorgiou, G.C., Govindgee, (eds.) Chlorophyll a Fluorescence, 2004, Springer, Kluwer Dordrecht, 429–445.
58. Myneni, R.B., Williams, D.L., On the relationship between FAPAR and NDVI. Remote Sens. Environ. 49:3 (1994), 200–211.
59. Niu, S., Jiang, G., Li, Y., Gao, L., Liu, M., Diurnal gas exchange and superior resources use efficiency of typical C4 species in Hunshandak Sandland, China. Photosynthetica 41:2 (2003), 221–226.
60. Perez-Priego, O., Guan, J., Rossini, M., Fava, F., Wutzler, T., et al. Sun-induced chlorophyll fluorescence and PRI improve remote sensing GPP estimates under varying nutrient availability in a typical Mediterranean savanna ecosystem. Biogeosci. Discuss. 12 (2015), 11891–11934.
61. Plascyk, J.A., The MK II Fraunhofer line discriminator (FLD-II) for airborne and orbital remote sensing of solar-stimulated luminescence. Opt. Eng. 14:4 (1975), 339–346.
62. Porcar-Castell, A., Tyystjärvi, E., Atherton, J., van der Tol, C., Flexas, J., Pfündel, E.E., Moreno, J., Frankenberg, C., Berry, J.A., Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. J. Exp. Bot. 65:15 (2014), 4065–4095, 10.1093/jxb/eru191.
63. Rahman, M.M., Lamb, D.W., Stanley, J.N., The impact of solar illumination angle when using active optical sensing of NDVI to infer fAPAR in a pasture canopy. Agric. For. Meteorol. 202 (2015), 39–43.
64. Rascher, U., FLEX – Ffluorescence explorer: a remote sensing approach to quantify spatio-temporal variations of photosynthetic ef ficiency from space. Photosynth. Res. 91 (2007), 293–294.
65. Rossini, M., Nedbal, L., Guanter, L., Ač, A., Alonso, L., Burkart, A., Cogliati, S., Colombo, R., Damm, A., Drusch, M., Red and far-red sun-induced chlorophyll fluorescence as a measure of plant photosynthesis. Geophys. Res. Lett., 2015.
66. Sage, R.F., Zhu, X.G., Exploiting the engine of C4 photosynthesis. J. Exp. Bot. 62:9 (2011), 2989–3000.
67. Sellers, P.J., Tucker, C.J., Collatz, G.J., et al. A global 1° by 1° NDVI data set for climate studies. Part 2: the generation of global fields of terrestrial biophysical parameters from the NDVI. Int. J. Remote Sens. 15:17 (1994), 3519–3545.
68. Sims, D.A., Rahman, A.F., Cordova, V.D., et al. Midday values of gross CO2 flux and light use efficiency during satellite overpasses can be used to directly estimate eight-day mean flux. Agric. For. Meteorol. 131:1 (2005), 1–12.
69. Sims, D.A., Luo, H., Hastings, S., Oechel, W.C., Rahman, A.F., Gamon, J.A., Parallel adjustments in vegetation greenness and ecosystem CO 2 exchange in response to drought in a Southern California chaparral ecosystem. Remote Sens. Environ. 103:3 (2006), 289–303.
70. Still, C.J., Berry, J.A., Collatz, G.J., DeFries, R.S., Global distribution of C3 and C4 vegetation: carbon cycle implications. Glob. Biogeochem. Cy. 17:1 (2003), 6-1–6-14.
71. Uździcka, B., Juszczak, R., Sakowska, K., Chojnicki, B.H., Urbaniak, M., Olejnik, J., NDVI and PRI as indicators of diurnal changes in fraction of absorbed photosyntheti-cally active radiation for fallow and selected species of crop plants. Acta Agrophys. 20:4 (2013), 705–720.
72. Van Wittenberghe, S., Alonso, L., Verrelst, J., Moreno, J., Samson, R., Bidirectional sun-induced chlorophyll fluorescence emission is influenced by leaf structure and light scattering properties – a bottom-up approach. Remote Sens. Environ. 158 (2015), 169–179.
73. Van der Tol, C., Verhoef, W., Timmermans, J., Verhoef, A., Su, Z., An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance. Biogeosciences 6:12 (2009), 3109–3129.
74. Van der Tol, C., Berry, J., Campbell, P., Rascher, U., Models of fluorescence and photosynthesis for interpreting measurements of solar-induced chlorophyll fluorescence. J. Geo-phys. Res. Biogeosci. 119 (2014), 2312–2327.
75. Veefkind, J., Aben, I., McMullan, K., Förster, H., De Vries, J., Otter, G., Claas, J., Eskes, H., De Haan, J., Kleipool, Q., 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 (2012), 70–83.
76. Wagle, P., Zhang, Y., Jin, C., Xiao, X., Comparison of solar-induced chlorophyll fluorescence, light-use efficiency, and process-based GPP models in maize. Ecol. Appl., 2015.
77. Walter-Shea, E.A., Privette, J., Cornell, D., Mesarch, M.A., Hays, C.J., Relations between directional spectral vegetation indices and leaf area and absorbed radiation in alfalfa. Remote Sens. Environ. 61:1 (1997), 162–177.
78. Xia, J., Niu, S., Ciais, P., Janssens, I.A., Chen, J., Ammann, C., Arain, A., Blanken, P.D., Cescatti, A., Bonal, D., Joint control of terrestrial gross primary productivity by plant phenology and physiology. Proc. Natl. Acad. Sci. U. S. A 112:9 (2015), 2788–2793.
79. Yang, J.D., Zhao, H.L., Zhang, T.H., Diurnal patterns of net photosynthetic rate, stomatal conductance, and chlorophyll fluorescence in leaves of field‐grown mungbean (Phaseolus radiatus) and millet (Setaria italica). N. Z. J. Crop Hortic. 32:3 (2004), 273–279.
80. Yang, G., Zhu, Z., Tan, L., Liu, S., Xu, Z., Bai, J., Xiao, Q., Analysis on evapotranspiration of maize field measured by lysimeters in huailai. Plateau Meteorol. 34:4 (2015), 1095–1106 (in Chinese).
81. Yang, X., Tang, J., Mustard, J.F., Lee, J.-E., Rossini, M., Joiner, J., Munger, J.W., Kornfeld, A., Richardson, A.D., Solar-induced chlorophyll fluorescence correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest. Geophys. Res. Lett., 42, 2015, 10.1002/2015GL063201.
82. Zarco-Tejada, P.J., Berni, J.A.J., Suarez, L., Sepulcre-Canto, G., Morales, F., Miller, J.R., Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection. Remote Sens. Environ. 113:6 (2009), 1262–1275.
83. Zarco-Tejada, P.J., Morales, A., Testi, L., Villalobos, F., 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 (2013), 102–115.
84. Zhang, Y., Guanter, L., Berry, J.A., Joiner, J., van der Tol, C., Huete, A., Gitelson, A., Voigt, M., Kohler, P., Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models. Glob. Change Biol. 20:12 (2014), 3727–3742.
85. Zhao, M., Running, S., Heinsch, F.A., Nemani, R., MODIS-derived terrestrial primary production. Land Remote Sensing and Global Environmental Change, 2011, Springer, New York, 635–660.
86. Zhu, X.G., Long, S.P., Ort, D.R., Improving photosynthetic efficiency for greater yield. Annu. Rev. Plant Biol. 61 (2010), 235–261.