Modeling photosynthesis of discontinuous plant canopies by linking the Geometric Optical Radiative Transfer model with biochemical processes

Biogeosciences

Volumn 12, Issue 11, 2015, Pages 3447-3467

  Xin, Q ^a   Gong, P ^a,b,c   Li, W ^a  

^a TSINGHUA UNIVERSITY   (China)

^b JOINT CENTER FOR GLOBAL CHANGE STUDIES   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABSORPTION; BIOCHEMISTRY; CANOPY EXCHANGE; DECIDUOUS FOREST; LEAF; PHOTOSYNTHESIS; PRIMARY PRODUCTION; RADIATIVE TRANSFER; STOMATAL CONDUCTANCE; VEGETATION COVER;

EID: 84930965582     PISSN: 17264170     EISSN: 17264189     Source Type: Journal    
DOI: 10.5194/bg-12-3447-2015     Document Type: Article

References (85)

1. Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, FAO, Rome, 300, 29-64, 1998.
2. Baldocchi, D., Hutchison, B., Matt, D., and McMillen, R.: Canopy radiative transfer models for spherical and known leaf inclination angle distributions: a test in an oak-hickory forest, J. Appl. Ecol., 22, 539-555, 1985.
3. Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., and Evans, R.: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc., 82, 2415-2434, 2001.
4. Baldocchi, D. D.: Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future, Glob. Change Biol., 9, 479-492, 2003.
5. Ball, J. T.,Woodrow, I., and Berry, J.: A Model Predicting Stomatal Conductance and its Contribution to the Control of Photosynthesis under Different Environmental Conditions, in: Progress in Photosynthesis Research, edited by: Biggins, J., Springer Netherlands, 221-224, 1987.
6. Bonan, G. B.: Ecological climatology: concepts and applications, Cambridge University Press, 229-272, 2002.
7. Bonan, G. B.: Forests and climate change: forcings, feedbacks, and the climate benefits of forests, Science, 320, 1444-1449, 2008.
8. Broich, M., Huete, A., Tulbure, M. G., Ma, X., Xin, Q., Paget, M., Restrepo-Coupe, N., Davies, K., Devadas, R., and Held, A.: Land surface phenological response to decadal climate variability across Australia using satellite remote sensing, Biogeosciences, 11, 5181-5198, doi:10.5194/bg-11-5181-2014, 2014.
9. Campbell, G. S. and Norman, J. M.: An introduction to environmental biophysics, Springer, 223-278, 1998.
10. Chen, J. M., Rich, P. M., Gower, S. T., Norman, J. M., and Plummer, S.: Leaf area index of boreal forests: Theory, techniques, and measurements, J. Geophys. Res.-Atmos., (1984-2012), 102, 29429-29443, 1997.
11. Chen, T., van der Werf, G. R., Dolman, A. J., and Groenendijk, M.: Evaluation of cropland maximum light use efficiency using eddy flux measurements in North America and Europe, Geophys. Res. Lett., 38, L14707, doi:10.1029/2011GL047533, 2011.
12. Collatz, G. J., Ball, J. T., Grivet, C., and Berry, J. A.: Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer, Agr. Forest Meteorol., 54, 107-136, 1991.
13. 2 and climate change: results from six dynamic global vegetation models, Glob. Change Biol., 7, 357-373, 2001.
14. Ding, R., Kang, S., Du, T., Hao, X., and Zhang, Y.: Scaling Up Stomatal Conductance from Leaf to Canopy Using a Dual-Leaf Model for Estimating Crop Evapotranspiration, PloS one, 9, e95584, doi:10.1371/journal.pone.0095584, 2014.
15. Fan, W., Chen, J. M., Ju, W., and Nesbitt, N.: Hybrid Geometric Optical Radiative Transfer Model Suitable for Forests on Slopes, IEEE T. Geosci. Remote, 52, 5579-5586, 2014.
16. Farquhar, G. D. and Sharkey, T. D.: Stomatal conductance and photosynthesis, Ann. Rev. Plant Physio., 33, 317-345, 1982.
17. Field, C. B., Randerson, J. T., and Malmstrom, C. M.: Global net primary production: Combining ecology and remote sensing, Remote Sens. Environ., 51, 74-88, 1995.
18. Goudriaan, J.: Crop micrometeorology: a simulation study, Pudoc, Center for Agricultural Publishing and Documentation, 5-72, 1977.
19. Hapke, B.: Bidirectional reflectance spectroscopy: 1. Theory, J. Geophys. Res.-Sol. Ea., (1978-2012), 86, 3039-3054, 1981.
20. He, L., Chen, J. M., Pisek, J., Schaaf, C. B., and Strahler, A. H.: Global clumping index map derived from the MODIS BRDF product, Remote Sens. Environ., 119, 118-130, 2012.
21. He, M., Ju, W., Zhou, Y., Chen, J., He, H., Wang, S., Wang, H., Guan, D., Yan, J., and Li, Y.: Development of a two-leaf light use efficiency model for improving the calculation of terrestrial gross primary productivity, Agr. Forest Meteorol., 173, 28-39, 2013.
22. Heimann, M. and Reichstein, M.: Terrestrial ecosystem carbon dynamics and climate feedbacks, Nature, 451, 289-292, 2008.
23. Heinsch, F. A., Reeves, M., Votava, P., Kang, S., Milesi, C., Zhao, M., Glassy, J., Jolly, W. M., Loehman, R., and Bowker, C. F.: GPP and NPP (MOD17A2/A3) Products NASA MODIS Land Algorithm, MOD17 User's Guide, 1-57, 2003.
24. Jarvis, P. G. and McNaughton, K.: Stomatal control of transpiration: scaling up from leaf to region, Adv. Ecol. Res., 15, 1-49, 1986.
25. 2 flux tower data, Agr. Forest Meteorol., 151, 1514-1528, 2011.
26. 2 from measured conductance: a synthesis of approaches, Plant Cell Environ., 23, 1313-1328, 2000.
27. Keenan, T. F., Hollinger, D. Y., Bohrer, G., Dragoni, D., Munger, J. W., Schmid, H. P., and Richardson, A. D.: Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise, Nature, 499, 324-327, 2013.
28. 2 and H2O vapor exchange, Ecol. Modell., 196, 1-31, 2006.
29. 2 rise leads to reduced maximum stomatal conductance in Florida vegetation, P. Natl. Acad. Sci., 108, 4035-4040, 2011.
30. Law, B., Falge, E., Gu, L. v., Baldocchi, D., Bakwin, P., Berbigier, P., Davis, K., Dolman, A., Falk, M., and Fuentes, J.: Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation, Agr. Forest Meteorol., 113, 97-120, 2002.
31. Leblanc, S. G. and Chen, J. M.: A practical scheme for correcting multiple scattering effects on optical LAI measurements, Agr. Forest Meteorol., 110, 125-139, 2001.
32. Leblanc, S. G., Chen, J. M., and Kwong, M.: Tracing radiation and architecture of canopies, TRAC Manual. Version, 2, 25, 2002.
33. Leuning, R.: A critical appraisal of a combined stomatalphotosynthesis model for C3 plants, Plant Cell Environ., 18, 339-355, 1995.
34. Li, L., Friedl, M. A., Xin, Q., Gray, J., Pan, Y., and Frolking, S.: Mapping Crop Cycles in China Using MODIS-EVI Time Series, Remote Sensing, 6, 2473-2493, 2014.
35. Li, X. and Strahler, A. H.: Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: Effect of crown shape and mutual shadowing, IEEE T. Geosci. Remote, 30, 276-292, 1992.
36. Li, X., Strahler, A. H., and Woodcock, C. E.: A hybrid geometric optical-radiative transfer approach for modeling albedo and directional reflectance of discontinuous canopies, IEEE T. Geosci. Remote, 33, 466-480, 1995.
37. Liang, S. and Townshend, J.: A parametric soil BRDF model: A four stream approximation for multiple scattering, Int. J. Remote Sens., 17, 1303-1315, 1996.
38. Liu, J.,Woodcock, C. E., Melloh, R. A., Davis, R. E., McKenzie, C., and Painter, T. H.: Modeling the view angle dependence of gap fractions in forest canopies: Implications for mapping fractional snow cover using optical remote sensing, J. Hydrometeorol., 9, 1005-1019, 2008.
39. Monteith, J. L.: Climate and efficiency of crop production in Britain, Philos. T. Roy. Soc. B, 281, 277-294, 1977.
40. Muneer, T.: Solar radiation and daylight models, Routledge, 61-142, 2007.
41. Myneni, R., Maggion, S., Iaquinta, J., Privette, J., Gobron, N., Pinty, B., Kimes, D., Verstraete, M., and Williams, D.: Optical remote sensing of vegetation: modeling, caveats, and algorithms, Remote Sens. Environ., 51, 169-188, 1995.
42. Myneni, R. B.: Modeling radiative transfer and photosynthesis in three-dimensional vegetation canopies, Agr. Forest Meteorol., 55, 323-344, 1991.
43. Myneni, R. B., Asrar, G., and Gerstl, S. A.: Radiative transfer in three dimensional leaf canopies, Transport Theor. Stat., 19, 205-250, 1990.
44. Myneni, R. B., Keeling, C., Tucker, C., Asrar, G., and Nemani, R.: Increased plant growth in the northern high latitudes from 1981 to 1991, Nature, 386, 698-702, 1997.
45. Myneni, R. B., Hoffman, S., Knyazikhin, Y., Privette, J. L., Glassy, J., Tian, Y., Wang, Y., Song, X., Zhang, Y., Smith, G. R., Lotsch, A., Friedl, M., Morisette, J. T., Votava, P., Nemani, R. R., and Running, S.W.: Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data, Remote Sens. Environ., 83, 214-231, 2002.
46. Ni-Meister, W., Yang, W., and Kiang, N. Y.: A clumped-foliage canopy radiative transfer model for a global dynamic terrestrial ecosystem model. I: Theory, Agr. Forest Meteorol., 150, 881-894, 2010.
47. Ni, W.: Development and application of models of the radiation regime within conifer forests, 10-47, 1998.
48. Ni, W. and Li, X.: A coupled vegetation-soil bidirectional reflectance model for a semiarid landscape, Remote Sens. Environ., 74, 113-124, 2000.
49. Ni, W., Li, X., Woodcock, C. E., Roujean, J. L., and Davis, R. E.: Transmission of solar radiation in boreal conifer forests: Measurements and models, J. Geophys. Res.-Atmos. (1984-2012), 102, 29555-29566, 1997.
50. Ni,W., Li, X.,Woodcock, C. E., Caetano, M. R., and Strahler, A. H.: An analytical hybrid GORT model for bidirectional reflectance over discontinuous plant canopies, IEEE T. Geosci. Remote, 37, 987-999, 1999.
51. Pearcy, R.W. and Sims, D. A.: Photosynthetic acclimation to changing light environments: scaling from the leaf to the whole plant, Exploitation of environmental heterogeneity by plants, 5, 145-174, 1994.
52. Pearcy, R. W., Schulze, E.-D., and Zimmermann, R.: Measurement of transpiration and leaf conductance, in: Plant physiological ecology, Springer, 137-160, 1989.
53. Peng, S., Piao, S., Zeng, Z., Ciais, P., Zhou, L., Li, L. Z., Myneni, R. B., Yin, Y., and Zeng, H.: Afforestation in China cools local land surface temperature, P. Natl. Acad. Sci., 111, 2915-2919, 2014.
54. Pisek, J., Sonnentag, O., Richardson, A. D., and Mõttus, M.: Is the spherical leaf inclination angle distribution a valid assumption for temperate and boreal broadleaf tree species?, Agr. Forest Meteorol., 169, 186-194, 2013.
55. Potter, C. S., Randerson, J. T., Field, C. B., Matson, P. A., Vitousek, P. M., Mooney, H. A., and Klooster, S. A.: Terrestrial ecosystem production - a process model-based on global satellite and surface data, Global Biogeochem. Cy., 7, 811-841, 1993.
56. Prince, S. D. and Goward, S. N.: Global primary production: A remote sensing approach, J. Biogeogr., 22, 815-835, 1995.
57. Pury, D. D. and Farquhar, G.: Simple scaling of photosynthesis from leaves to canopies without the errors of big-leaf models, Plant Cell Environ., 20, 537-557, 1997.
58. Raich, J., Rastetter, E., Melillo, J., Kicklighter, D., Steudler, P., Peterson, B., Grace, A., Moore III, B., and Vörösmarty, C.: Potential net primary productivity in South America: application of a global model, Ecol. Appl., 1, 399-429, 1991.
59. Richardson, A. D., Anderson, R. S., Arain, M. A., Barr, A. G., Bohrer, G., Chen, G. S., Chen, J. M., Ciais, P., Davis, K. J., Desai, A. R., Dietze, M. C., Dragoni, D., Garrity, S. R., Gough, C. M., Grant, R., Hollinger, D. Y., Margolis, H. A., McCaughey, H., Migliavacca, M., Monson, R. K., Munger, J. W., Poulter, B., Raczka, B. M., Ricciuto, D. M., Sahoo, A. K., Schaefer, K., Tian, H. Q., Vargas, R., Verbeeck, H., Xiao, J. F., and Xue, Y. K.: Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis, Glob. Change Biol., 18, 566-584, 2012.
60. Running, S. W., Thornton, P. E., Nemani, R., and Glassy, J. M.: Global terrestrial gross and net primary productivity from the earth observing system, Methods in Ecosystem Science, 44-57, 2000.
61. 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.
62. Ryu, Y., Baldocchi, D. D., Kobayashi, H., Ingen, C., Li, J., Black, T. A., Beringer, J., Gorsel, E., Knohl, A., and Law, B. E.: 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. Cy., 25, GB4017, doi:10.1029/2011GB004053, 2011.
63. Schaaf, C. B., Li, X., and Strahler, A.: Topographic effects on bidirectional and hemispherical reflectances calculated with a geometric-optical canopy model, IEEE T. Geosci. Remote, 32, 1186-1193, 1994.
64. Schulze, E.-D., Kelliher, F. M., Korner, C., Lloyd, J., and Leuning, R.: Relationships among maximum stomatal conductance, ecosystem surface conductance, carbon assimilation rate, and plant nitrogen nutrition: a global ecology scaling exercise, Annu. Rev. Ecol. Syst., 25, 629-660, 1994.
65. Sellers, P. J.: Canopy reflectance, photosynthesis and transpiration, Int. J. Remote Sens., 6, 1335-1372, 1985.
66. Sjöström, M., Zhao, M., Archibald, S., Arneth, A., Cappelaere, B., Falk, U., De Grandcourt, A., Hanan, N., Kergoat, L., and Kutsch, W.: Evaluation of MODIS gross primary productivity for Africa using eddy covariance data, Remote Sens. Environ., 131, 275-286, 2013.
67. Song, C., Katul, G., Oren, R., Band, L. E., Tague, C. L., Stoy, P. C., and McCarthy, H. R.: Energy, water, and carbon fluxes in a loblolly pine stand: Results from uniform and gappy canopy models with comparisons to eddy flux data, J. Geophys. Res.-Biogeo., 114, G04021, doi:10.1029/2009JG000951, 2009.
68. Strahler, A. H., Muller, J., Lucht, W., Schaaf, C., Tsang, T., Gao, F., Li, X., Lewis, P., and Barnsley, M. J.: MODIS BRDF/albedo product: algorithm theoretical basis document version 5.0, MODIS documentation, 5-37, 1999.
69. Verhoef, W. and Bach, H.: Coupled soil-leaf-canopy and atmosphere radiative transfer modeling to simulate hyperspectral multi-angular surface reflectance and TOA radiance data, Remote Sens. Environ., 109, 166-182, 2007.
70. Wang, Z., Coburn, C., Ren, X., Mazumdar, D., Myshak, S., Mullin, A., and Teillet, P.: Assessment of soil surface BRDF using an imaging spectrometer, 783010-783019, 2010.
71. Xia, J., Chen, J., Piao, S., Ciais, P., Luo, Y., and Wan, S.: Terrestrial carbon cycle affected by non-uniform climate warming, Nat. Geosci., 7, 173-180, 2014.
72. Xin, Q.,Woodcock, C. E., Liu, J., Tan, B., Melloh, R. A., and Davis, R. E.: View angle effects on MODIS snow mapping in forests, Remote Sens. Environ., 118, 50-59, 2012.
73. Xin, Q., Gong, P., Yu, C., Yu, L., Broich, M., Suyker, A. E., and Myneni, R. B.: A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US, Remote Sensing, 5, 5926-5943, 2013.
74. Xin, Q., Broich, M., Suyker, A. E., Yu, L., and Gong, P.: Multiscale evaluation of light use efficiency in MODIS gross primary productivity for croplands in the Midwestern United States, Agr. Forest Meteorol., 201, 111-119, 2015.
75. Xu, L., Myneni, R., Chapin III, F., Callaghan, T., Pinzon, J., Tucker, C., Zhu, Z., Bi, J., Ciais, P., and Tømmervik, H.: Diminished temperature and vegetation seasonality over northern high latitudes, Nature Clim. Change, 3, 581-586, 2013.
76. Yang, W., Ni-Meister, W., Kiang, N. Y., Moorcroft, P. R., Strahler, A. H., and Oliphant, A.: A clumped-foliage canopy radiative transfer model for a Global Dynamic Terrestrial Ecosystem Model II: Comparison to measurements, Agr. Forest Meteorol., 150, 895-907, 2010.
77. Yang, X., Strahler, A. H., Schaaf, C. B., Jupp, D. L., Yao, T., Zhao, F., Wang, Z., Culvenor, D. S., Newnham, G. J., and Lovell, J. L.: Three-dimensional forest reconstruction and structural parameter retrievals using a terrestrial full-waveform lidar instrument (Echidna®), Remote Sens. Environ., 135, 36-51, 2013.
78. Yao, T., Yang, X., Zhao, F., Wang, Z., Zhang, Q., Jupp, D., Lovell, J., Culvenor, D., Newnham, G., and Ni-Meister, W.: Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar, Remote Sens. Environ., 115, 2965-2974, 2011.
79. Yi, C., Ricciuto, D., Li, R., Wolbeck, J., Xu, X., Nilsson, M., Aires, L., Albertson, J. D., Ammann, C., and Arain, M. A.: Climate control of terrestrial carbon exchange across biomes and continents, Environ. Res. Lett., 5, 034007, doi:10.1088/1748-9326/5/3/034007, 2010.
80. Yuan, H., Dickinson, R. E., Dai, Y., Shaikh, M. J., Zhou, L., Shangguan, W., and Ji, D.: A 3D Canopy Radiative Transfer Model for Global Climate Modeling: Description, Validation, and Application, J. Climate, 27, 1168-1192, 2013.
81. Zhang, Q., Xiao, X., Braswell, B., Linder, E., Baret, F., and Moore III, B.: Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model, Remote Sens. Environ., 99, 357-371, 2005.
82. Zhang, Q., Cheng, Y., Lyapustin, A. I., Wang, Y., Xiao, X., Suyker, A., Verma, S., Tan, B., and Middleton, E. M.: Estimation of crop gross primary production (GPP): I. impact of MODIS observation footprint and impact of vegetation BRDF characteristics, Agr. Forest Meteorol., 191, 51-63, 2014.
83. Zhang, X., Friedl, M. A., Schaaf, C. B., Strahler, A. H., Hodges, J. C., Gao, F., Reed, B. C., and Huete, A.: Monitoring vegetation phenology using MODIS, Remote Sens. Environ., 84, 471-475, 2003.
84. Zhao, F., Yang, X., Schull, M. A., Román-Colón, M. O., Yao, T., Wang, Z., Zhang, Q., Jupp, D. L., Lovell, J. L., and Culvenor, D. S.: Measuring effective leaf area index, foliage profile, and stand height in New England forest stands using a full-waveform ground-based lidar, Remote Sens. Environ., 115, 2954-2964, 2011.
85. Zhao, M., Heinsch, F. A., Nemani, R. R., and Running, S. W.: Improvements of the MODIS terrestrial gross and net primary production global data set, Remote Sens. Environ., 95, 164-176, 2005.