Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes

Agricultural and Forest Meteorology

Volumn 143, Issue 3-4, 2007, Pages 189-207

  Yuan, Wenping ^a,b   Liu, Shuguang ^c,d   Zhou, Guangsheng ^a   Zhou, Guoyi ^e   Tieszen, Larry L ^f   Baldocchi, Dennis ^g   Bernhofer, Christian ^h   Gholz, Henry ⁱ   Goldstein, Allen H ^j   Goulden, Michael L ^k   Hollinger, David Y ^l   Hu, Yueming ^m   Law, Beverly E ⁿ   Stoy, Paul C ^o   Vesala, Timo ^p   Wofsy, Steven C ^q  

^a INSTITUTE OF BOTANY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c U S GEOLOGICAL SURVEY   (United States)

^d SOUTH DAKOTA STATE UNIVERSITY   (United States)

^e SOUTH CHINA INSTITUTE OF BOTANY   (China)

^f US Geological Survey Center for Earth Resources Observation and Science   (United States)

^g UNIVERSITY OF CALIFORNIA   (United States)

^h DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

ⁱ NATIONAL SCIENCE FOUNDATION   (United States)

^j UNIVERSITY OF CALIFORNIA   (United States)

^k UNIVERSITY OF CALIFORNIA   (United States)

^l USDA FOREST SERVICE   (United States)

^m SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

ⁿ OREGON STATE UNIVERSITY   (United States)

^o DUKE UNIVERSITY   (United States)

^p UNIVERSITY OF HELSINKI   (Finland)

^q HARVARD UNIVERSITY   (United States)

more..

Author keywords

EC LUE model; Eddy covariance; Evaporative fraction; Gross primary production; Light use efficiency; NDVI

Indexed keywords

AIR TEMPERATURE; BIOME; BOWEN RATIO; ECOLOGICAL MODELING; EDDY COVARIANCE; LAND COVER; LATENT HEAT FLUX; LIGHT USE EFFICIENCY; MODIS; NDVI; PHOTOSYNTHETICALLY ACTIVE RADIATION; PRIMARY PRODUCTION; SEASONAL VARIATION; SOIL MOISTURE;

EID: 33947357838     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2006.12.001     Document Type: Article

References (91)

1. 2 exchange to the canopy: a generalized model of forest photosynthesis compared with measurements by eddy correlation. Oecologia 106 (1996) 257-265
2. AmeriFlux, 2001. http://public.ornl.gov/ameriflux/Participants/Sites/Map/index.cfm.
3. Baldocchi D.D. Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future. Global Change Biol. 9 (2003) 479-492
4. Baldocchi D.D., Black T.A., Curtis P.S., Falge E., Fuentes J.D., Granier A., Gu L., Knohl A., Pilegaard K., Schmid H.P., Valentini R., Wilson K., Wofsy S., Xu L., and Yamamoto S. Predicting the onset of net carbon uptake by deciduous forests with soil temperature and climate data: a synthesis of FLUXNET data. Int. J. Biometeorol. 49 6 (2005) 377-387
5. Baldocchi D.D., Xu L.K., and Kiang N. How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak-grass savanna and an annual grassland. Agric. For. Meteorol. 123 1/2 (2004) 13-39
6. Bassow S.L., and Bazzaz F.A. How environmental conditions affect canopy leaf-level photosynthesis in four deciduous tree species. Ecology 79 (1998) 2660-2675
7. Bolstad P.V., Davis K.J., Martin J., Cook B.D., and Wang W. Component and whole-system respiration fluxes in northern deciduous forests. Tree Physiol. 24 5 (2004) 493-504
8. Bondeau A., Kicklighter D.W., Kaduk J., and The Participants of the Potsdam NPP Model Intercomparison. Comparing global models of terrestrial net primary productivity (NPP): importance of vegetation structure on seasonal NPP estimates. Global Change Biol. 5 (1999) 35-45
9. Braswell B.H., Sacks W.J., Linder E., and Schimel D.S. Estimating diurnal to annual ecosystem parameters by synthesis of a carbon flux model with eddy covariance net ecosystem exchange observations. Global Change Biol. 11 (2005) 335-355
10. Canadell J.G., Mooney H.A., Baldocchi D.D., Berry J.A., Ehleringer B., Field C.B., Gower S.T., Hollinger D.Y., Hunt J.E., Jackson R.B., Running S.W., Shaver G.R., Steffen W., Trumbore S.E., Valentini R., and Bond B.Y. Carbon metabolism of the terrestrial biosphere: a multi-technique approach for improved understanding. Ecosystems 3 (2000) 115-130
11. In: Chapin M.C., Matson P.A., and Mooney H.A. (Eds). Principles of Terrestrial Ecosystem Ecology (2002), Springer-Verlag, New York, Berlin, Heidelberg p. 102
12. Chen X.Q., Hu B., and Yu R. Spatial and temporal variation of phonological growing season and climate change impacts in temperature eastern China. Global Change Biol. 11 (2005) 1118-1130
13. Coops N.C., Waring R.H., and Law B.E. Assessing the past and future distribution and productivity of ponderosa pine in the pacific northwest using a process model, 3-PG. Ecol. Model. 183 (2005) 107-124
14. Curtis P.S., Hanson P.J., Bolstad P., Barford C., Randolph J.C., Schmid H.P., and Wilson K.B. Biometric and eddy-covariance based estimates of annual carbon storage in five eastern North American deciduous forests. Agric. For. Meteorol. 113 (2002) 3-19
15. Curtis P.S., Vogel C.S., Gough C.M., Schmid H.P., Su H.B., and Bovard B.D. Respiratory carbon losses and the carbon-use efficiency of a northern hardwood forest, 1999-2003. New Phytol. 167 (2005) 437-456
16. 2O exchange over a northern mixed forest as observed from a very tall tower. Global Change Biol. 9 (2003) 1278-1293
17. Desai A.R., Bolstad P.V., Cook B.D., Davis K.J., and Carey E.V. Comparing net ecosystem exchange of carbon dioxide between an old-growth and mature forest in the upper Midwest, USA. Agric. For. Meteorol. 128 (2005) 33-55
18. Dufrene E., Davi H., Francois C., Le Maire G., Le Dantec V., and Granier A. Modelling carbon and water cycles in a beech forest. Part I. Model description and uncertainty analysis on modelled NEE. Ecol. Model. 85 (2005) 407-436
19. Falge E., Baldocchi D., Tenhunen J., Aubinet M., Bakwin P., Berbigier P., Bernhofer C., Burba G., Clement R., Davis K.J., Elbers J.A., Goldstein A.H., Grelle A., Granier A., Guomundsson J., Hollinger D., Kowalski A.S., Katul G., Law B.E., Malhi Y., Meyers T., and Monson R.K. Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements. Agric. For. Meteorol. 113 (2002) 53-74
20. Friedlingstein P., Joel G., Field C.B., and Fung I.Y. Toward an allocation scheme for global terrestrial carbon models. Global Change Biol. 5 (1999) 755-770
21. Gholz H.L., and Clark K.L. Energy exchange across a chronosequence of slash pine forests in Florida. Agric. For. Meteorol. 112 2 (2002) 87-102
22. Gholz H.Z. Environmental limits on aboveground net primary production, leaf area and biomass in vegetation zones in the Pacific Northwest. Ecology 63 (1982) 469-481
23. 2 flux and remotely-sensed data for primary production and ecosystem respiration analyses in the Northern Great Plains: potential for quantitative spatial extrapolation. Global Ecol. Biogeogr. 14 (2005) 271-292
24. Goldstein A.H., Hultman N.E., Fracheboud J.M., Bauer M.R., Panek J.A., Xu M., Qi Y., Guenther A.B., and Baugh W. Effects of climate variability on the carbon dioxide, water, and sensible heat fluxes above a ponderosa pine plantation in the Sierra Nevada (CA). Agric. For. Meteorol. 101 (2000) 113-129
25. Goulden M.L., Wofsy S.C., Harden J.W., Trumbore S.E., Crill P.M., Gower S.T., Fries T., Daube B.C., Fan S.M., Sutton D.J., Bazzaz A., and Munger J.W. Sensitivity of boreal forest carbon balance to soil thaw. Science 279 5348 (1998) 214-217
26. Goulden M.L., Winston G.C., McMillan A.M.S., Litvak E.E., Read E.L., Rocha A.V., and Elliot J.R. An eddy covariance mesonet to measure the effect of forest age on land-atmosphere exchange. Global Change Biol. 12 11 (2006) 2146-2162
27. Gower S.T., Kucharik C.J., and Norman J.M. Direct and indirect estimation of leaf area index, fAPAR, and net primary production of terrestrial ecosystems. Remote Sens. Environ. 70 (1999) 29-51
28. Granier A., Ceschia C., Damesin C., Dufrene E., Epron D., Gross P., Lebaube S., Dantec V.L.E., Goff N.L.E., Lemoine D., Lucot E., Ottorini J.M., Pontailler J.Y., and Saugier S. The carbon balance of a young Beech forest. Funct. Ecol. 14 (2000) 312-325
29. Hannerz M. Evaluation of temperature models for predicting bud burst in Norway spruce. Can. J. For. Res. 29 (1999) 1-11
30. 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 production from MODIS using AmeriFlux eddy tower flux network observations. IEEE Trans. Geosci. Remote Sens. 44 (2006) 1908-1925
31. 2 exchange. Global Change Biol. 10 (2004) 1689-1706
32. Hollinger D.Y., Goltz S.M., Davidson E.A., Lee J.T., Tu K., and Valentine H.T. Seasonal patterns and environmental control of carbon dioxide and water vapour exchange in an ecotonal boreal forest. Global Change Biol. 5 (1999) 891-902
33. Hunt E.R. Relationship between woody biomass and PAR conversion efficiency for estimating net primary production from NDVI. Int. J. Remote Sens. 15 (1994) 1725-1730
34. Jarvis P., and Linder S. Constraints to growth of boreal forests. Nature 405 (2000) 904-905
35. Kanji G.K. 100 Statistical Tests (1999), SAGE Publications, London
36. 2O fluxes at six forest sites in Europe. Global Change Biol. 8 (2002) 213-230
37. Kurc S.A., and Small E.E. Dynamics of evapotranspiration in semiarid grassland and shrubland ecosystems during the summer monsoon season, central New Mexico. Water Resour. Res. 40 (2004) W09305 10.1029/2004WR003068
38. Landsberg J.J. Physiological Ecology of Forest Production (1986), Academic Press, London pp. 165-178
39. Landsberg J.J., and Waring R.H. A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. For. Ecol. Manage. 95 (1997) 209-228
40. Law B.E., Thornton P.E., Irvine J., Anthoni P.M., and Tuy S.V. Carbon storage and fluxes in ponderosa pine forests at different developmental stages. Global Change Biol. 7 (2001) 755-777
41. Law B.E., Turner D., Campbell J., Sun O.J., Van Tuyl S., Ritts W.D., and Cohen W.B. Disturbance and climate effects on carbon stocks and fluxes across Western Oregon USA. Global Change Biol. 10 (2004) 1429-1444
42. Law B.E., and Waring R.H. Combining remote sensing and climatic data to estimate net primary production across Oregon. Ecol. Appl. 4 (1994) 717-728
43. Law B.E., and Waring R.H. Remote sensing of leaf area index and radiation intercepted by understory vegetation. Ecol. Appl. 4 (1994) 272-279
44. Law B.E., Williams M., Anthoni P.M., Baldocchi D.D., and Unsworth M.H. Measuring and modelling seasonal variation of carbon dioxide and water vapour exchange of a Pinus ponderosa forest subject to soil water deficit. Global Change Biol. 6 (2000) 613-630
45. Law B.E., Waring R.H., Anthoni P.M., and Aber J.D. Measurements of gross and net ecosystem productivity and water vapour exchange of a Pinus ponderosa ecosystem, and an evaluation of two generalized models. Global Change Biol. 6 2 (2000) 155-168
46. Lewis J.M. The story behind the Bowen ratio. Bull. Am. Meteorol. Soc. 76 (1995) 2433-2443
47. Lieth H. Modeling the primary productivity of the world. In: Lieth H., and Whittaker R.H. (Eds). Primary Productivity of the Biosphere (1975), Springer-Verlag, New York 237-262
48. Linkosalo T. Mutual regularity of spring phenology of some boreal tree species: predicting with other species and phonological models. Can. J. For. Res. 30 (2000) 667-673
49. 3 leaves describing the dependence of net photosynthesis on irradiance. J. Exp. Bot. 31 (1980) 29-39
50. Monson R.K., Turnipseed A.A., Sparks J.P., Harley P.C., Scott-Denton L.E., Sparks K., and Huxman T.E. Carbon sequestration in a high-elevation, subalpine forest. Global Change Biol. 8 (2002) 459-478
51. Myneni R.B., and Williams D.L. On the relationship between FAPAR and NDVI. Remote Sens. Environ. 49 (1994) 200-221
52. Neilson R.P., King C.A., and Koerper E. Toward a rule-based biome model. Landscape Ecol. 7 (1992) 27-43
53. Nouvellon Y., Seen D.L., and Verma S.G. Time course of radiation use efficiency in a shortgrass ecosystem: consequences for remotely sensed estimation of primary production. Remote Sens. Environ. 71 (2000) 43-55
54. Novick K.A., Stoy P.C., Katul G.G., Ellsworth D.E., Siqueira M.B.S., Juang J., and Oren R. Carbon dioxide and water vapor exchange in a warm temperate grassland. Oecologia 138 (2004) 259-274
55. 2 flux of the Kuparuk river basin, Alaska. Global Change Biol. 6 (2000) 160-173
56. Pataki D.E., and Oren R. Species differences in stomatal control of water loss at the canopy scale in a mature bottomland deciduous forest. Adv. Water Resour. 26 (2003) 1267-1278
57. Polley H.W., Norman J.M., Arkebauer T.J., Walter-Shea E.A., Greegor D.H., and Bramer B. Leaf gas exchange of Andropogon gerardii Vitman, Panicum virgatum L. and Sorghastrum mutans (L.) Nash in a tallgrass prairie. J. Geophys. Res. 97 (1992) 18837-18844
58. Potter C.B., 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. Cycle 7 (1993) 811-841
59. Prince S.D., and Goward S.N. Global primary production: a remote sensing approach. J. Biogeogr. 22 (1995) 815-835
60. Raich J.W., Rastetter E.B., Melillo J.M., Kicklighter D.W., Steudler P.A., Peterson B.J., Grace A.L., Moore B., and Vorosmarty C.J. Potential net primary productivity in South America: application of a global model. Ecol. Appl. 1 (1991) 399-429
61. Rayment M.B., and Jarvis P.G. Seasonal gas exchange of black spruce using an automatic branch bag system. Can. J. For. Res. 29 (1999) 1528-1538
62. Rosenzweig M.L. Net primary productivity of terrestrial communities: prediction from climatological data. Am. Nat. 102 (1968) 67-74
63. Ruimy A., Kergoat L., Bondeau A., and The Participants of the Potsdam NPP Model Intercomparison. Comparing global models of terrestrial net primary productivity (NPP): analysis of differences in light absorption and light-use efficiency. Global Change Biol. 5 (1999) 56-64
64. Ruimy A., and Saugier B. Methodology for the estimation of terrestrial net primary production from remotely sensed data. J. Geophys. Res. 97 (1994) 18515-18521
65. Running, S.W., Nemani, R., Glassy, J.M., Thornton, P.E., 1999. MODIS daily photosynthesis (PSN) and annual net primary production (NPP) product (MOD17), algorithm theoretical basis document, version 3.0. In: http://modis.gsfc.nasa.gov/.
66. 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 (2004) 547-560
67. Running S.W., Thornton P.E., Nemani R., and Glassy J.M. Global terrestrial gross and net primary productivity from the earth observing system. In: Sala O.E., Jackson R.B., and Mooney H.A. (Eds). Methods in Ecosystem Science (2000), Springer-Verlag, New York 44-57
68. Russell G., Jarvis P.G., and Monteith J.L. Absorption of radiation by canopies and stand growth. In: Russell G., Marshall B., and Jarvis P.G. (Eds). Plant Canopies: Their Growth, Form and Function (1989), Cambridge Univ. Press, Cambridge 21-39
69. Saigusa N., Yamamotoa S., Murayamaa S., Kondoa H., and Nishimurab N. Gross primary production and net ecosystem exchange of a cool-temperate deciduous forest estimated by the eddy covariance method. Agric. For. Meteorol. 112 (2002) 203-215
70. Saito M., Miyata A., Nagai H., and Yamada T. Seasonal variation of carbon dioxide exchange in rice paddy field in Japan Tomoyasu Yamada. Agric. For. Meteorol. 135 (2005) 93-109
71. 2 and energy fluxes over a mixed hardwood forest in the mid-western United States. Agric. For. Meteorol. 103 4 (2000) 357-374
72. Schwarz P.A., Fahey T.J., and Dawson T.E. Seasonal air and soil temperature effects on photosynthesis in red spruce (Picea rubens) saplings. Tree Physiol. 17 (1997) 187-194
73. 2 flux and light use efficiency during satellite overpasses can be used to directly estimate eight-day mean flux. Agric. For. Meteorol. 131 (2005) 1-12
74. Song J., Liao K., Coulter R.L., and Lesht B.M. Climatology of the low-level jet at the southern Great Plains atmospheric Boundary Layer Experiments site. J. Appl. Meteorol. 44 (2005) 1593-1606
75. Stephenson N.L. Climate control of vegetation distribution: the role of the water balance. Am. Nat. 135 (1990) 649-670
76. Stoy P.C., Katul G.G., Siqueira M.B.S., Juang J.Y., Novick K.A., and Oren R. An evaluation of methods for partitioning eddy covariance-measured net ecosystem exchange into photosynthesis and respiration. Agric. For. Meteorol. 141 (2006) 2-18
77. Suleiman A., and Crago R. Hourly and daytime evapotranspiration from grassland using radiometric surface temperatures. Agron. J. 96 (2004) 384-390
78. Turner D.P., Urbanski S., Bremer D., Wofsy S.C., Meyers T., Gower S.T., and Gregory M. A cross-biome comparison of daily light-use efficiency for gross primary production. Global Change Biol. 9 (2003) 385-395
79. In: Valentini R. (Ed). Fluxes of Carbon, Water and Energy of European Forests (2003), Springer Verlag, Heidelberg 260
80. van Wijk M.T., and Bouten W.M.T. Simulating daily and half-hourly fluxes of forest carbon dioxide and water vapor exchange with a simple model of light and water use. Ecosystems 5 (2002) 597-610
81. Venturini V., Bisht G., Islam S., and Jiang L. Comparison of evaporative fractions estimated from AVHRR and MODIS sensors over South Florida. Remote Sens. Environ. 93 (2004) 77-86
82. Veroustraete F., Sabbe H., and Eerens H. Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data. Remote Sens. Environ. 83 (2002) 376-399
83. Wang Q., Tenhunen J., Falge E., Bernhofer C.H., Granier A., and Vesala T. Simulation and scaling of temporal variation in gross primary production for coniferous and deciduous temperate forests. Global Change Biol. 10 (2003) 37-51
84. Waring R.H., Landsberg J.J., and Williams M. Net primary production of forests: a constant fraction of gross primary production?. Tree Physiol. 18 (1998) 129-134
85. Williams M., Malhi Y., Nobre D., Rastetter E.B., Grace J., and Pereira M.G.P. Seasonal variation in net carbon exchange and evapotranspiration in a Brazilian rain forest: a modeling analysis. Plant Cell Environ. 21 (1998) 935-968
86. Williams M., Schwarz P.A., Law B., Irvine J., and Kurpius M.R. An improved analysis of forest carbon dynamics using data assimilation. Global Change Biol. 11 (2005) 89-105
87. Xiao X.M., Zhang Q.Y., Braswell B., Urbanski S., Boles S., Wofsy S., Moore B., and Ojima D. Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sens. Environ. 91 (2004) 256-270
88. Xiao X.M., Zhang Q.Y., Hollinger D., Aber J., and Moore B. Modeling gross primary production of an evergreen needleleaf forest using MODIS and climate data. Ecol. Appl. 15 3 (2005) 954-969
89. Xiao X.M., Zhang Q.Y., Saleska S., Hutyra L., Camargo P., Wofsy S., Frolking S., Boles S., Keller M., and Moore B. Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest. Remote Sens. Environ. 94 (2005) 105-122
90. Xu L.K., and Baldocchi D.D. Seasonal variation in carbon dioxide exchange over a Mediterranean annual grassland in California. Agric. For. Meteorol. 123 (2004) 79-96
91. Zhang Y.Q., Liu C.M., Yu Q., Shen Y.J., Kendy E., Kondoh A., Tang C.Y., and Sun H.Y. Energy fluxes and the Priestley-Taylor parameter over winter wheat and maize in the North China Plain. Hydrol. Process. 18 (2004) 2235-2246