Development of a two-leaf light use efficiency model for improving the calculation of terrestrial gross primary productivity

Agricultural and Forest Meteorology

Volumn 173, Issue , 2013, Pages 28-39

  He, Mingzhu ^a   Ju, Weimin ^a   Zhou, Yanlian ^a   Chen, Jingming ^a   He, Honglin ^b   Wang, Shaoqiang ^b   Wang, Huimin ^b   Guan, Dexin ^c   Yan, Junhua ^d   Li, Yingnian ^e   Hao, Yanbin ^f   Zhao, Fenghua ^b  

^a NANJING UNIVERSITY   (China)

^b INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^c INSTITUTE OF APPLIED ECOLOGY   (China)

^d SOUTH CHINA INSTITUTE OF BOTANY   (China)

^e NORTHWEST INSTITUTE OF PLATEAU BIOLOGY   (China)

^f UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Gross primary productivity; MOD17 algorithm; Sunlit and shaded leaves; Two leaf light use efficiency (TL LUE) model

Indexed keywords

ALGORITHM; BIOGEOCHEMISTRY; CALIBRATION; CARBON FLUX; CLIMATE CHANGE; DATA SET; HUMAN ACTIVITY; LEAF; LIGHT USE EFFICIENCY; MODEL VALIDATION; NET PRIMARY PRODUCTION; NUMERICAL MODEL; PHOTOSYNTHETICALLY ACTIVE RADIATION; REMOTE SENSING;

CHINA;

EID: 84875111136     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2013.01.003     Document Type: Article

References (58)

1. Baldocchi D.D., Falge E., Gu L., Olson R., Hollinger D.Y., Running S.W., Anthoni P., Bernhofer Ch., Davis K.J., Evans R., Fuentes J., Goldstein A., Katul G., Law B.E., Lee X., Malhi Y., Meyers T.P., Munger J.W., Oechel W.C., Paw U.K.T., Pilegaard K., Schmid H.P., Valentini R., Verma S., Vesala T., Wilson K.B., Wofsy S.C. FLUXNET: a new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bull. Am. Meteorol. Soc. 2001, 82:2415-2434.
2. Bosch J.L., López G., Batlles F.J. Global and direct photosynthetically active radiation parameterizations for clear-sky conditions. Agr. Forest Meteorol. 2009, 149:146-158.
3. Chen J.M., Deng F., Chen M. Locally adjusted cubic-spline capping for reconstructing seasonal trajectories of a satellite-derived surface parameter. IEEE Trans. Geosci. Remote Sens. 2006, 44:2230-2238.
4. Chen J.M., Liu J., Cihlar J., Guolden M.L. Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications. Ecol. Model. 1999, 124:99-119.
5. De Pury D.G.G., Farquhar G.D. Simple scaling of photosynthesis from leaves to canopies without the errors of big-leaf models. Plant Cell Environ. 1997, 20:537-557.
6. Field C.B., Behrenfeld M.J., Randerson J.T., Falkowski P. Primary production of the biosphere: integrating terrestrial and oceanic components. Science 1998, 281:237-240.
7. Fu Y.L., Yu G.R., Wang Y.F., Hao Y.B. Effect of water stress on ecosystem photosynthesis and respiration of Leymus chinensis steppe in Inner Mongolia. Sci. China Earth Sci. 2006, 49(Suppl. 2):196-206.
8. 2 exchange in semi-arid Leymus chinensis steppe and alpine shrub. Agr. Forest Meteorol. 2006, 137:234-244.
9. Gao Z.Q., Liu J.Y. Comparison research of net primary productivity in China. Chin. Sci. Bull. 2008, 53:317-326.
10. Grant I.F., Prata A.J., Cechet R.P. The impact of the diurnal variation of albedo on the remote sensing of the daily mean albedo of grassland. J. Clim. Appl. Meteorol. 2000, 39:231-244.
11. Gu L.H., Baldocchi D.D., Verma S.B., Black T.A., Vesala T., Falge E.M., Dowty P.R. Advantages of diffuse radiation for terrestrial ecosystem productivity. J. Geophys. Res. 2002, 107:1-23.
12. Gu L.H., Baldocchi D.D., Wofsy S., Munger J.M., Michalsky J.J., Urnamski S.P., Bolden T.A. Response of a deciduous forest to the Mount Pinatubo eruption: enhanced photosynthesis. Science 2003, 299:2035-2038.
13. Heinsch F.A., Zhao M.S., 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.J., 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., Flanagan L.B. Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Trans. Geosci. Remote Sens. 2006, 44(7):1908-1925.
14. Hill M.J., Senarath U., Lee A., Melanie Z., Joanne M.N., Richard J.W., Tim R.M. Assessment of the MODIS LAI product for Australian ecosystems. Remote Sens. Environ. 2006, 101:495-518.
15. Jacovides C.P., Tymvios F.S., Assimakopoulos V.D., Kaltsounides N.A. The dependence of global and diffuse PAR radiation components on sky conditions at Athens, Greece. Agr. Forest Meteorol. 2007, 143:277-287.
16. Jarvis P.G., Leverenz J.W. Productivity of temperate deciduous and evergreen forests. Ecosystem Processes: Mineral Cycling, Productivity, and Man's Influence 1983, 233-280. Springer-Verlag, New York. O.L. Lange (Ed.).
17. Li J., Yu Q., Sun X.M., Tong X.J., Ren C.Y., Wang J., Liu E.M., Zhu Z.L., Yu G.R. Carbon exchange and its environmental regulation mechanisms in North China plain ecosystem. Sci. China Earth Sci. 2006, 49(Suppl. 2):226-240.
18. Li, Z.Q., 2006. Multi-scale analysis and scale changing of productivity of terrestrial ecosystem. Ph.D. Thesis. Beijing: Graduate University of Chinese Academy of Sciences (in Chinese with English abstract).
19. Lieth H. Primary production: terrestrial ecosystem. Hum. Ecol. 1973, 1(4):303-332.
20. Liu Y.B., Ju W.M., Zhu G.L., Chen J.M., Xing B.L., Zhu J.F., Zhou Y.L. Retrieval of leaf area index for different grasslands in Inner Mongolia prairie using remote sensing data. Acta Ecol. Sin. 2011, 31:5159-5170. (in Chinese with English abstract).
21. Lloyd J., Taylor J.A. On the temperature dependence of soil respiration. Funct. Ecol. 1994, 8:315-323.
22. Mercado L.M., Bellouin N., Sitch S., Boucher O., Huntingford C., Wild M., Cox P.M. Impact of changes in diffuse radiation on the global land carbon sink. Nature 2009, 458:1014-1018.
23. Metz B., Davidson O., Coninck H.D., Loos M., Meyer L. A special report of the intergovernmental panel on climate change. Intergovernmental Panel on Climate Change 2006, Cambridge University Press, Cambridge.
24. Misson L., Lunden M., McKay M., Goldstein A.H. Atmospheric aerosol light scattering and surface wetness influence the diurnal pattern of net ecosystem exchange in a semi-arid ponderosa pine plantation. Agr. Forest Meteorol. 2005, 129:69-83.
25. Monteith J.L. Solar radiation and productivity in tropical ecosystems. J. Appl. Ecol. 1972, 9:747-766.
26. Nightingale J.M., Coops N.C., Waring R.H., Hargrove W.W. Comparison of MODIS gross primary production estimates for forests across the U.S.A. with those generated by a simple process model, 3-PGS. Remote Sens. Environ. 2007, 109:500-509.
27. 2 exchanges over different landscapes. Geophys. Res. Lett. 2004, 31:L20506.
28. Norman J.M. Scaling processed between leaf and canopy levels. Scaling Physiological Processes: Leaf to Globe 1993, 41-76. Academic Press, San Diego. J.R. Ehleringer, C.B. Field (Eds.).
29. Oliphant A.J., Dragoni D., Deng B., Grimmond C.S.B., Schmid H.-P., Scott S.L. The role of sky conditions on gross primary production in a mixed deciduous forest. Agr. Forest Meteorol. 2011, 151:781-791.
30. Piao S.L., Fang J.Y., Zhou L.M., Zhu B., Tan K., Tao S. Changes in vegetation net primary productivity from 1982 to 1999 in China. Global Biogeochem. Cycles 2005, 19:GB2027.
31. Potter C.S., Randerson J.T., Field C.B., Matson P.A., Vitousek P.M., Mooney H.A., Klooster S.A. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochem. Cycles 1993, 7:811-841.
32. Propastin P., Ibrom A., Knohl A., Erasmi S. Effects of canopy photosynthesis saturation of gross primary productivity form MODIS data in a tropical forest. Remote Sens. Environ. 2012, 121:252-260.
33. Roderick M.L., Farquhar G.D., Berry S.L., Noble B.I.R. On the direct effect of clouds and atmospheric particles on the productivity and structure of vegetation. Oecologia 2001, 129:21-30.
34. Running S.W., Thornton P.E., Nemani R., Glassy J.M. Global terrestrial gross and net primary productivity from the Earth Observing system. Methods in Ecosystem Science 2000, 44-55. Springer-Verlag, New York. O. Sala, R. Jackson, H. Mooney (Eds.).
35. Running S.W., Nemani R.R., Heinsch F.A., Zhao M.S., Reeves M., Hashimoto H. A continuous satellite-drived measure of global terrestrial primary production. BioScience 2004, 54:547-560.
36. Singarayer J.S., Ridgwell A., Irvine P. Assessing the benefits of crop albedo bio-geoengineering. Environ. Res. Lett. 2009, 4:045110.
37. Sun J.S., Zhou G.S. Review of advances in measurements and effects of diffuse radiation on terrestrial ecosystem productivity. Chin. J. Plant Ecol. 2010, 34:452-461. (in Chinese with English abstract).
38. Tang S., Chen J.M., Zhu Q., Li X., Chen M., Sun R., Zhou Y., Deng F., Xie D. An LAI inversion algorithm based on directional reflectance kernels. J. Environ. Manage. 2007, 85:638-648.
39. Tsubo M., Walker S. Relationships between photosynthetically active radiation and clearness index at Bloemfontein, South Africa. Theor. Appl. Climatol. 2005, 80:17-25.
40. Turner D.P., Ritts W.D., Cohen W.B., Gower S.T., Running S.W., Wofsy S.C., Urbanski S., Dunn A.L., Munger J.W. Scaling gross primary production (GPP) over boreal and deciduous forest landscaped in support of MODIS GPP product validation. Remote Sens. Environ. 2003, 88:256-270.
41. Urban O., Janous D., Acosta M., Czerný R., Marková I., Navrátil M., Pavelka M., Pokorný R., Šprtová M., Zhang R., Špunda V., Grace J., Marek M.V. Ecophysiological controls over the net ecosystem exchange of mountain spruce stand. Comparison of the response in direct vs. diffuse solar radiation. Global Change Biol. 2007, 13:157-168.
42. Wang S., Chen J.M., Ju W.M., Feng X.F., Chen M., Chen P., Yu G. Carbon sinks and sources in China's forests during 1901-2001. J. Environ. Manage. 2007, 85:524-537.
43. Wang Y.J., Woodcock C.E., Buermann W., Stenberg P., Viopio P., Smolander H., Häme T., Tian Y., Hu J.N., Knyazikhin Y., Myneni R.B. Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland. Remote Sens. Environ. 2004, 91:114-127.
44. Wang Y.P., Lenuing R. A two-leaf model for canopy conductance, photosynthesis and partitioning of available energy I: model description and comparison with multi-layered model. Agr. Forest Meteorol. 1998, 91:89-111.
45. Weiss A., Norman J.M. Partitioning solar radiation into direct and diffuse, visible and near-infrared components. Agr. Forest Meteorol. 1985, 34:205-213.
46. Wu C.Y., Niu Z., Gao S. Gross primary production estimation from MODIS data with vegetation index and photosynthetically active radiation in maize. J. Geophys. Res. 2010, 115:D12127.
47. Xiao X.M., Hollinger D., Aber J., Goltz M., Davidson E.A., Zhang Q.Y., Moore B. Satellite-based modeling of gross primary production in an evergreen needle leaf forest. Remote Sens. Environ. 2004, 89:519-534.
48. Xiao X.M., Zhang Q.Y., Braswell B., Urbanski S., Boles S., Wofsy S., Moore B., Ojima D. Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sens. Environ. 2004, 91:256-270.
49. Yang F.H., Ichii K., White M.A., Hashimoto H., Michaelis A.R., Votava P., Zhu A.X., Huete A., Running S.W., Nemani R.R. Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through Support Vector Machine approach. Remote Sens. Environ. 2007, 110:109-122.
50. Yu G.R., Wen X.F., Sun X.M., Tanner B.D., Lee X.H., Chen J.Y. Overview of ChinaFLUX and evaluation of its eddy covariance measurement. Agr. Forest Meteorol. 2006, 137:125-137.
51. Yu G.R., Song X., Wang Q.F., Liu Y.F., Guan D.X., Yan J.H., Sun X.M., Zhang L.M., Wen X.F. Water-use efficiency of forest ecosystems in eastern China and its relations to climatic variables. New Phytolog. 2008, 177:927-937.
52. Yuan W.P., Liu S.G., Zhou G.S., Zhou G.Y., Tieszen L.L., Baldocchi D.D., Bernhofer C., Gholz H., Goldstein A.H., Goulden M.L., Hollinger D.Y., Hu Y.M., Law B.E., Stoy P.C., Vesala T., Wofsy S.C. Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes. Agr. Forest Meteorol. 2007, 143:189-207.
53. Zhang L.M., Yu G.R., Sun X.M., Wen X.F., Song X., Liu Y.F., Guan D.X., Yan J.H., Zhang Y.P. Seasonal variation of carbon exchange of typical forest ecosystems along the eastern forest transect in China. Sci. China Earth Sci. 2006, 49(Suppl. 2):47-62.
54. max) of different forest ecosystems in China. Agr. Forest Meteorol. 2006, 17:176-187.
55. Zhang M., Yu G.R., Zhuang J., Gentry R., Fu Y.L., Sun X.M., Zhang L.M., Wen X.F., Han S.J., Yan J.H., Zhang Y.P., Wang Y.F., Li Y.N. Effects of cloudiness changes on net ecosystem exchange, light use efficiency, and water use efficiency in typical ecosystems of China. Agr. Forest Meteorol. 2011, 151:803-816.
56. Zhang Y.Q., Yu Q., Jiang J., Tang Y.H. Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau. Global Change Biol. 2008, 14:757-767.
57. 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 Sens. Environ. 2005, 95:164-176.
58. Zhao M.S., Running S.W., Nemani R.R. Sensitivity of MODerate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyzes. J. Geophys. Res. 2006, 111:1002-1015.