Data assimilation of photosynthetic light-use efficiency using multi-angular satellite data: I. Model formulation

Remote Sensing of Environment

Volumn 121, Issue , 2012, Pages 301-308

  Hall, Forrest G ^a   Hilker, Thomas ^a   Coops, Nicholas C ^b  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Carbon cycle; CHRIS Proba; Data assimilation; Eddy covariance; Light use efficiency; Multivariate model; Photosynthesis

Indexed keywords

CARBON CYCLES; CHRIS/PROBA; DATA ASSIMILATION; EDDY COVARIANCE; LIGHT-USE EFFICIENCY; MULTIVARIATE MODELS;

EFFICIENCY; FORESTRY; PHOTOSYNTHESIS; PHYSIOLOGICAL MODELS; PLANTS (BOTANY); REMOTE SENSING; SATELLITES;

DATA PROCESSING;

BIOLOGICAL UPTAKE; CARBON; DATA ASSIMILATION; DEVELOPMENTAL BIOLOGY; INDEX METHOD; LIGHT USE EFFICIENCY; MULTIVARIATE ANALYSIS; NDVI; NUMERICAL MODEL; PHOTOSYNTHESIS; PHOTOSYNTHETICALLY ACTIVE RADIATION; PRIMARY PRODUCTION; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL VARIATION; TEMPERATURE EFFECT; WATER VAPOR;

ASSIMILATION; CARBON; DATA PROCESSING; EDDY CURRENTS; MATHEMATICAL MODELS; PHOTOSENSITIVITY; PHOTOSYNTHESIS; REMOTE SENSING; SATELLITES;

NORTH AMERICA;

EID: 84857948190     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.02.007     Document Type: Article

References (39)

1. Bernacchi C.J., Portis A.R., Nakano H., von Caemmerer S., Long S.P. Temperature response of mesophyll conductance. Implications for the determination of Rubisco enzyme kinetics and for limitations to photosynthesis in vivo. Plant Physiology 2002, 130:1992-1998.
2. Bernacchi C.J., Singsaas E.L., Pimentel C., Portis A.R., Long S.P. Improved temperature response functions for models of Rubisco-limited photosynthesis. Plant, Cell & Environment 2001, 24:253-259.
3. Canadell J.G., Le Quere C., Raupach M.R., Field C.B., Buitenhuis E.T., Ciais P., et al. Contributions to accelerating atmospheric CO(2) growth from economic activity, carbon intensity, and efficiency of natural sinks. Proceedings of the National Academy of Sciences of the United States of America 2007, 104:18866-18870.
4. Demmig-Adams B., Adams W.W. The role of xanthophyll cycle carotenoids in the protection of photosynthesis. Trends in Plant Science 1996, 1:21-26.
5. Drolet G.G., Huemmrich K.F., Hall F.G., Middleton E.M., Black T.A., Barr A.G., et al. 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 2005, 98:212-224.
6. Drolet G.G., Middleton E.M., Huemmrich K.F., Hall F.G., Amiro B.D., Barr A.G., et al. Regional mapping of gross light-use efficiency using MODIS spectral indices. Remote Sensing of Environment 2008, 112:3064-3078.
7. Farquhar G.D., Caemmerer S.V., Berry J.A. A biochemical-model of photosynthetic CO2 assimilation in leafs of C-3 species. Planta 1980, 149:78-90.
8. Farquhar G.D., Sharkey T.D. Stomatal conductance and photosynthesis. Annual review of plant physiology 1982, Vol. 33:P317-P346. Annual Reviews, Inc., Palo Alto, Calif., USA. Illus, X+744 pp. W.R. Briggs, P.B. Green, R.L. Jones (Eds.).
9. Field C., Mooney H.A. The photosynthesis-nitrogen relationship in wild plants. On the economy of plant form and function; sixth Maria Moors Cabot Symposium on evolutionary constraints on primary productivity: Adaptive patterns of energy capture in plants, Harvard Forest, Mass., USA, Aug. 6, 1983 1986, 25-56. Cambridge University Press, New York, N.Y., USA: Cambridge, England. Illus, Xvii+717 pp. T.J. Givnish (Ed.).
10. Gamon J.A., Penuelas J., Field C.B. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment 1992, 41:35-44.
11. Goetz S.J., Prince S.D. Remote sensing of net primary production in boreal forest stands. Agricultural and Forest Meteorology 1996, 78:149-179.
12. Goulden M.L., Munger J.W., Fan S.M., Daube B.C., Wofsy S.C. Exchange of carbon dioxide by a deciduous forest: Response to interannual climate variability. Science 1996, 271:1576-1578.
13. Hall F.G., Hilker T., Coops N.C. PHOTOSYNSAT, photosynthesis from space: Theoretical foundations of a satellite concept and validation from tower and spaceborne data. Remote Sensing of Environment 2011, 115:1918-1925.
14. Hall F.G., Hilker T., Coops N.C., Lyapustin A., Huemmrich K.F., Middleton E., et al. Multi-angle remote sensing of forest light use efficiency by observing PRI variation with canopy shadow fraction. Remote Sensing of Environment 2008, 112:3201-3211.
15. Modeling the photosynthetic response of C3 leafs to environmental factors 1991, CSSA, Madison, WI. P.C. Harley, J.D. Tenhunen (Eds.).
16. Heinsch F.A., Zhao M.S., Running S.W., Kimball J.S., Nemani R.R., Davis K.J., et al. Evaluation of remote sensing based terrestrial productivity from modis using regional tower eddy flux network observations. IEEE Transactions on Geoscience and Remote Sensing 2006, 44:1908-1925.
17. Hilker T., Coops N.C., Hall F.G., Nichol C.J., Lyapustin A., Black T.A., et al. Inferring terrestrial photosynthetic light use efficiency of temperate ecosystems from space. Journal of Geophysical Research-Biogeosciences 2011, 116.
18. Hilker T., Coops N.C., Schwalm C.R., Jassal R.S., Black T.A., Krishnan P. Effects of mutual shading of tree crowns on prediction of photosynthetic light-use efficiency in a coastal Douglas-fir forest. Tree Physiology 2008, 28:825-834.
19. Hilker T., Gitelson A., Coops N.C., Hall F.G., Black T.A. Tracking plant physiological properties from multi-angular tower-based remote sensing. Oecologia 2011, 165:865-876.
20. Hilker T., Hall F.G., Coops N.C., Lyapustin A., Wang Y., Nesic Z., et al. Remote sensing of photosynthetic light-use efficiency across two forested biomes: Spatial scaling. Remote Sensing of Environment 2010, 114:2863-2874.
21. Hilker T., Lyapustin A., Hall F.G., Wang Y., Coops N.C., Drolet G., et al. An assessment of photosynthetic light use efficiency from space: Modeling the atmospheric and directional impacts on PRI reflectance. Remote Sensing of Environment 2009, 113:2463-2475.
22. Hilker T., Nesic Z., Coops N.C., Lessard D. A new, automated, multi-angular radiometer instrument for tower-based observation of canopy reflectance (AMSPEC II). Instrumentation Science & Technolgy 2010, 38:319.
23. Jarvis P.G. Interpretation of variations in leaf water potential and stomatal conductance found in canopies in field. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 1976, 273:593-610.
24. Lloyd J., Grace J., Miranda A.C., Meir P., Wong S.C., Miranda B.S., et al. A simple calibrated model of Amazon rain-forest productivity based on leaf biochemical-properties. Plant, Cell & Environment 1995, 18:1129-1145.
25. Martin T.A., Hinckley T.M., Meinzer F.C., Sprugel D.G. Boundary layer conductance, leaf temperature and transpiration of Abies amabilis branches. Tree Physiology 1999, 19:435-443.
26. Medlyn B.E. Physiological basis of the light use efficiency model. Tree Physiology 1998, 18:167-176.
27. Monteith J.L. Solar-radiation and productivity in tropical ecosystems. Journal of Applied Ecology 1972, 9:747-766.
28. Monteith J.L. Climate and efficiency of crop production in Britain. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 1977, 281:277-294.
29. Niinemets U. Responses of forest trees to single and multiple environmental stresses from seedlings to mature plants: Past stress history, stress interactions, tolerance and acclimation. Forest Ecology and Management 2010, 260:1623-1639.
30. Penman H.L., Schofield R.K. Some physical aspects of assimilation and transpiration. Symposia of the Society for Experimental Biology 1951, 5:115-129.
31. Pons T.L., Flexas J., von Caemmerer S., Evans J.R., Genty B., Ribas-Carbo M., et al. Estimating mesophyll conductance to CO2: Methodology, potential errors, and recommendations. Journal of Experimental Botany 2009, 60:2217-2234.
32. Running S.W., Nemani R.R., Heinsch F.A., Zhao M.S., Reeves M., Hashimoto H. A continuous satellite-derived measure of global terrestrial primary production. Bioscience 2004, 54:547-560.
33. Schwalm C.R., Black T.A., Arniro B.D., Arain M.A., Barr A.G., Bourque C.P.A., et al. Photosynthetic light use efficiency of three biomes across an East-west continental-scale transect in Canada. Agricultural and Forest Meteorology 2006, 140:269-286.
34. Sellers P.J., Mintz Y., Sud Y.C., Dalcher A. A Simple Biosphere Model (SIB) for use within general-circulation models. Journal of the Atmospheric Sciences 1986, 43:505-531.
35. Tucker C., Sellers P. Satellite remote sensing of primary production. International Journal of Remote Sensing 1986, 7:1395-1416.
36. Turner D.P., Urbanski S., Bremer D., Wofsy S.C., Meyers T., Gower S.T., et al. A cross-biome comparison of daily light use efficiency for gross primary production. Global Change Biology 2003, 9:383-395.
37. Voncaemmerer S., Evans J.R., Hudson G.S., Andrews T.J. The kinetics of ribulose-1,5-bisphosphate carboxylase/oxygenase in-vivo inferred from measurements of photosynthesis in leaves of transgenic tobacco. Planta 1994, 195:88-97.
38. Waring R.H., Landsberg J.J. Generalizing plant-water relations to landscapes. Journal of Plant Ecology-UK 2011, 4:101-113.
39. Zhao M.S., Heinsch F.A., Nemani R.R., Running S.W. Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sensing of Environment 2005, 95:164-176.