Satellite-driven estimation of terrestrial carbon flux over Far East Asia with 1-km grid resolution

Remote Sensing of Environment

Volumn 115, Issue 7, 2011, Pages 1758-1771

  Sasai, Takahiro ^a   Saigusa, Nobuko ^b   Nasahara, Kenlo Nishida ^c   Ito, Akihiko ^a   Hashimoto, Hirofumi ^d,e   Nemani, Ramakrishna ^e   Hirata, Ryuichi ^f   Ichii, Kazuhito ^g   Takagi, Kentaro ^f   Saitoh, Taku M ^h   Ohta, Takeshi ^a   Murakami, Kazutaka ^c   Yamaguchi, Yasushi ^a   Oikawa, Takehisa ^c  

^a NAGOYA UNIVERSITY   (Japan)

^b NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

^c UNIVERSITY OF TSUKUBA   (Japan)

^d CALIFORNIA STATE UNIVERSITY   (United States)

^e NASA AMES RESEARCH CENTER   (United States)

^f HOKKAIDO UNIVERSITY   (Japan)

^g FUKUSHIMA UNIVERSITY   (Japan)

^h GIFU UNIVERSITY   (Japan)

Author keywords

BEAMS; Biosphere model; Gross primary production; Net ecosystem production; Net primary production; Remote sensing; Terrestrial carbon cycle

Indexed keywords

BEAMS; BIOSPHERE MODELS; GROSS PRIMARY PRODUCTION; NET ECOSYSTEM PRODUCTION; NET PRIMARY PRODUCTION; TERRESTRIAL CARBON CYCLE;

BIOSPHERICS; ECOSYSTEMS; ESTIMATION; PHYSIOLOGICAL MODELS; REMOTE SENSING; SATELLITES;

FORESTRY;

CARBON CYCLE; ECOSYSTEM MODELING; LATENT HEAT FLUX; NET PRIMARY PRODUCTION; NET RADIATION; REMOTE SENSING; SATELLITE DATA; SPATIOTEMPORAL ANALYSIS;

FAR EAST;

EID: 79954588955     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.03.007     Document Type: Article

References (70)

1. Belward A.S., Estes J.E., Kline K.D. The IGBP-DIS global 1-km land-cover data set DISCover: A project overview. Photogrammetric Engineering and Remote Sensing 1999, 65:1013-1020.
2. Cox P.M. Description of the "TRIFFID" Dynamic Global Vegetation Model, Hadley Centre technical note 24. Met Office Hadley Centre Technical Notes 2001.
3. Crabtree R., Potter C., Mullen R., Sheldon J., Huang S., Harmsen J., et al. A modeling and spatio-temporal analysis framework for monitoring environmental change using NPP as an ecosystem indicator. Remote Sensing of Environment 2009, 113:1486-1496. 10.1016/j.rse.2008.12.014.
4. Cramer W., Bondeau A., Woodward F.I., Prentice I.C., Betts R.A., Brovkin V., et al. Global response of terrestrial ecosystem structure and function to CO2 and climate change: Results from six dynamic global vegetation models. Global Change Biology 2001, 7:357-373.
5. Cramer W., Kicklighter D.W., Bondeau A., Moore B., Churkina G., Nemry B., et al. Comparing global models of terrestrial net primary productivity (NPP): Overview and key results. Global Change Biology 1999, 5:1-15.
6. Denman, K. L., Brasseur, G., Chidthaisong, A., Ciais, P., Cox, P. M., Dickinson, R. E., et al. (2007). Couplings Between Changes in the Climate System and Biogeochemistry. In S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, & H. L. Miller (Eds.), Climate Change 2007: The Physical Science Basis: Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press.
7. Farr T.G., Rosen P.A., Caro E., Crippen R., Duren R., Hensley S., et al. The shuttle radar topography mission. Reviews of Geophysics 2007, 45:RG2004. 10.1029/2005RG000183.
8. Friedl M.A., Sulla-Menashe D., Tan B., Schneider A., Ramankutty N., Sibley A., et al. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment 2010, 114:168-182.
9. Friedlingstein P., Cox P., Betts R., Bopp L., von Bloh W., Brovkin V., et al. Climate-carbon cycle feedback analysis, results from the C4MIP model intercomparison. Journal of Climate 2006, 19:3337-3353. 10.1175/JCLI3800.1.
10. Friend A.D., Arneth A., Kiang N.Y., Lomas M., Oge'e J., Ro"denbeck C., et al. FLUXNET and modelling the global carbon cycle. Global Change Biology 2007, 13:610-633.
11. Fukuda M., Iehara T., Matsumoto M. Carbon stock estimates for sugi and hinoki forests in Japan. Forest Ecology and Management 2003, 184:1-16.
12. Gerten D., Schaphoff S., Haberlandt U., Lucht W., Sitch S. Terrestrial vegetation and water balance: Hydrological evaluation of a dynamic global vegetation model. Journal of Hydrology 2004, 286:249-270.
13. Goetz S.J., Prince S.D., Small J., Gleason A.C.R. Interannual variability of global terrestrial primary production: Results of a model driven with satellite observations. Journal of Geophysical Research 2000, 105:20 077-20 091.
14. Haberl H., Erb K.H., Krausmann F., Gaube V., Bondeau A., Plutzar C., et al. Quantifying and mapping the human appropriation of net primary production in earth's terrestrial ecosystems. Proceedings of the National Academy of Sciences 2007, 104(31):12942-12945.
15. Hashimoto H., Dungan J.L., White M.A., Yang F., Michaelis A.R., Running S.W., et al. Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data. Remote Sensing of Environment 2008, 112:142-155.
16. Heinsch F.A., Reeves M., Votava P., Kang S., Milesi C., Zhao M., et al. Users Guide: GPP and NPP (MOD17A2/A3) Products NASA MODIS Land Algorithm 2003, University of Montana, Missoula, 41pp.
17. Heinsch F.A., Zhao M., 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.
18. Hijmans R.J., Cameron S.E., Parra J.L., Jones P.G., Jarvis A. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 2005, 25:1965-1978.
19. Hirata R., Hirano T., Saigusa N., Fujinuma Y., Inukai K., Kitamori Y., et al. Seasonal and interannual variations in carbon dioxide exchange of a temperate larch forest. Agricultural and Forest Meteorology 2007, 147:110-124.
20. Hirata R., Saigusa N., Yamamoto S., Ohtani Y., Ide R., Asanuma J., et al. Spatial distribution of carbon balance in forest ecosystems across East Asia. Agricultural and Forest Meteorology 2008, 148:761-775.
21. Houghton R.A. Revised estimates of the annual net flux of carbon to the atmosphere from changes in land use 1850-2000. Tellus B 2003, 55:378-390.
22. Ichii K., Suzuki T., Kato T., Ito A., Hajima T., Ueyama M., et al. Multi-model analysis of terrestrial carbon cycles in Japan: Limitations and implications of model calibration using eddy flux observations. Biogeosciences 2010, 7:2061-2080. 10.5194/bg-7-1-2010.
23. IPCC Climate Change 2007, The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change 2007, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 996pp. S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor, H.L. Miller (Eds.).
24. Ito A. The regional carbon budget of East Asia simulated with a terrestrial ecosystem model and validated using AsiaFlux data. Agricultural and Forest Meteorology 2008, 148:738-747.
25. Ito A., Sasai T. Comparison of simulation results by terrestrial carbon cycle models using three climate datasets. Tellus 2006, 58B:513-522.
26. Japan Meteorological Agency Report on Abnormal Weather 383pp. (in Japanese). http://www.data.kishou.go.jp/climate/cpdinfo/climatechange/2005/pdf/2005all.pdf.
27. Jiang H., Apps M.J., Zhang Y., Peng C., Woodward P.M. Modelling the spatial pattern of net primary productivity in Chinese forests. Ecological Modelling 1999, 122:275-288.
28. Keeling R.F., Piper S.C., Bollenbacher A.F., Walker J.S. Atmospheric CO2 records from sites in the SIO air sampling network. Trends: A Compendium of Data on Global Change 2009, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., U.S.A. 10.3334/CDIAC/atg.035.
29. Keeling C.D., Whorf T.P., Wahlen M., van der Plicht J. Interannual extremes in the rate of rise of atmospheric carbon dioxide since 1980. Nature 1995, 375:666-670.
30. Liang S., Fang H., Chen M., Shuey C.J., Walthall C., Daughtry C., et al. Validating MODIS land surface reflectance and albedo products: Methods and preliminary results. Remote Sensing of Environment 2002, 83:149-162.
31. Lucht W., Lewis P. Theoretical noise sensitivity of BRDF and albedo retrieval from the EOS-MODIS and MISR sensors with respect to angular sampling. International Journal of Remote Sensing 2000, 21:81-98.
32. MAFF (Ministry of Agriculture, Forestry and Fisheries) Report on results of 2005 census of agriculture and forestry in Japan http://www.maff.go.jp/j/tokei/census/afc/.
33. Matsumoto K., Ohta T., Nakai T., Kuwada T., Daikoku K., Iida S., et al. Energy consumption and evapotranspiration at several boreal and temperature forests in the Far East. Agricultural and Forest Meteorology 2008, 148:1978-1989.
34. Matsushita B., Tamura M. Integrating remotely sensed data with an ecosystem model to estimate net primary productivity in East Asia. Remote Sensing of Environment 2002, 81:58-66.
35. Murakami K., Sasai T., Yamaguchi Y. A new one-dimensional simple energy balance and carbon cycle coupled model for global warming. Theoretical and Applied Climatology 2009, 101:459-473. 10.1007/s00704-009-0232-8.
36. Myneni R.B., Keeling C.D., Tucker C.J., Asrar G., Nemani R.R. Increased plant growth in the northern high latitudes from 1981-1991. Nature 1997, 386:698-702.
37. Myneni R.B., Knyazikhin Y., Privette J.L., Glassy J. Global products of vegetation leaf area and fraction absorbed PAR from year one of modis data. Remote Sensing of Environment 2002, 83:214-231.
38. Nasahara K.N. Simple algorithm for estimation of photosynthetically active radiation (PAR) using satellite data. SOLA (Science Online Letters on the Atmosphere) 2009, 5:37-40. 10.2151/sola.2009-010.
39. Nemani R.R., Hashimoto H., Votava P., Melton F., Wang W., Michaelis A., et al. Monitoring and forecasting ecosystem dynamics using the Terrestrial Observation and Prediction System (TOPS). Remote Sensing of Environment 2009, 113:1497-1509. 10.1016/j.rse.2008.06.017.
40. Nemani R.R., Keeling C.D., Hashimoto H., Jolly W.M., Piper S.C., Tucker C.J., et al. Climate driven increases in global terrestrial net primary production from 1982 to 1999. Science 2003, 300:1560-1563.
41. Pongratz J., Raddatz T., Reick C.H., Esch M., Claussen M. Radiative forcing from anthropogenic land cover change since A.D. 800. Geophysical Research Letters 2009, 36:L02709. 10.1029/2008GL036394.
42. Pongratz J., Reick C.H., Raddatz T., Claussen M. Effects of anthropogenic land cover change on the carbon cycle of the last millennium. Global Biogeochemical Cycles 2009, 23:GB4001. 10.1029/2009GB003488.
43. Potter C.S., Davidson E.A., Klooster S.A., Nepstad D.C., de Negreiros G.H., Brooks V. Regional application of an ecosystem production model for studies of biogeochemistry in Brazilian Amazonia. Global Change Biology 1998, 4(3):315-334.
44. Potter C.S., Randerson J.T., Field C.B., Matson P.A., Vitousek P.M., Mooney H.A., et al. Terrestrial ecosystem production: A process model based on global satellite and surface data. Global Biogeochemical Cycles 1993, 7:811-841.
45. Prince S.D., Goward S.J. Global primary production: A remote sensing approach. Journal of Biogeography 1995, 22:815-835.
46. Quaife T., Lewis P., De Kauwe M., Williams M., Law B., Disney M.I., et al. Assimilating canopy reflectance data into an ecosystem model with an ensemble Kalman filter. Remote Sensing of Environment 2008, 112:1347-1364. 10.1016/j.rse.2007.05.020.
47. Raich J.W., Rastetter E.B., Melillo J.M., Kicklighter D.W., Steudler P.A., Peterson B.J., et al. Potential net primary productivity in South-America-Application of a global-model. Ecological Applications 1991, 1:399-429.
48. Ruimy A., Dedieu G., Saugier B. Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research 1994, 99(D3):5263-5283.
49. Running S.W., Nemani R.R., Heinsch F.A., Zhao M., Reeves M., Hashimoto H. A continuous satellite-derived measure of global terrestrial primary production. BioScience 2004, 54:547-560.
50. Saigusa N., Ichii K., Murakami H., Hirata R., Asanuma J., Den H., et al. Impact of meteorological anomalies in the 2003 summer on Gross Primary Productivity in East Asia. Biogeosciences 2010, 7:641-655.
51. Saigusa N., Yamamoto S., Hirata R., Ohtani Y., Ide R., Asanuma J., et al. Temporal and spatial variations in the seasonal patterns of CO2 flux in boreal, temperate, and tropical forests in East Asia. Agricultural and Forest Meteorology 2008, 148:700-713.
52. Saigusa N., Yamamoto S., Murayama S., Kondo H. Interannual variability of carbon budget components in an AsiaFlux forest site estimated by long-term flux measurements. Agricultural and Forest Meteorology 2005, 134:4-16.
53. Saitoh T.M., Tamagawa I., Muraoka H., Lee N.-Y., Yashiro Y., Koizumi H. Carbon dioxide exchange in a cool-temperate evergreen coniferous forest over complex topography in Japan during two years with contrasting climates. Journal of Plant Research 2010, 123:473-483. 10.1007/s10265-009-0308-7.
54. Sasai T., Ichii K., Yamaguchi Y., Nemani R.R. Simulating terrestrial carbon fluxes using the new biosphere model BEAMS: Biosphere model integrating eco-physiological and mechanistic approaches using Satellite data. Journal of Geophysical Research 2005, 110:G02014. 10.1029/2005JG000045.
55. Sasai T., Okamoto K., Hiyama T., Yamaguchi Y. Comparing terrestrial carbon fluxes from the scale of a flux tower to the global scale. Ecological Modelling 2007, 208:135-144. 10.1016/j.ecolmodel.2007.05.014.
56. Sato H., Itoh A., Kohyama T. SEIB-DGVM: A new dynamic global vegetation model using a spatially explicit individualbased approach. Ecological Modelling 2007, 200:279-307.
57. Scepan J. Thematic Validation of High-Resolution Global Land-Cover Data Sets. Photogrammetric Engineering and Remote Sensing 1999, 65(9):1051-1060.
58. Sitch S., Smith B., Prentice I.C., Arneth A., Bondeau A., Cramer W., et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ Dynamic Vegetation Model. Global Change Biology 2003, 9:161-185.
59. Strahler A., Muchoney D., Borak J., Friedl M., Gopal S., Lambin E., et al. MODIS Land Cover Product: Algorithm Theoretical Basis Document (ATBD) Version 5.0 1999.
60. Strassmann K.M., Joos F., Fischer G. Simulating effects of land use changes on carbon fluxes: Past contributions to atmospheric CO2 increases and future commitments due to losses of terrestrial sink capacity. Tellus B 2008, 60:583-603.
61. Takagi K., Fukuzawa K., Liang N., Kayama M., Nomura M., Hojyo H., et al. Change in the CO2 balance under a series of forestry activities in a cool-temperate mixed forest with dense undergrowth. Global Change Biology 2009, 15:1275-1288.
62. Thornton P.E., Law B.E., Gholz H.L., Clark K.L., Falge E., Ellsworth D.S., et al. Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests. Agricultural and Forest Meteorology 2002, 113:185-222.
63. Turner D.P., Ritts W.D., Cohen W.B., Gower S.T., Running S.W., Zhao M.S., et al. Evaluation of MODIS NPP and GPP products across multiple biomes. Remote Sensing of Environment 2006, 102:282-292.
64. Wan Z., Zhang Y., Zhang Y.Q., Li Z.-L. Validation of the land-surface temperature products retrieved from Moderate Resolution Imaging Spectroradiometer data. Remote Sensing of Environment 2002, 83:163-180.
65. Wang H., Saigusa N., Zu Y., Wang W., Yamamoto S., Kondo H. Carbon fluxes and their responses to environmental variables in a Dahurian larch forest ecosystem in northeast China. Journal of Forestry Research 2008, 19:1-10.
66. Yang F., Ichii K., White M.A., Hashimoto H., Michaelis A.R., Votava P., et al. Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through support vector machine approach. Remote Sensing of Environment 2007, 110:109-122.
67. Yoshino M. Four stages of the rainy season in early summer over East Asia (Part I). Journal of the Meteorological Society of Japan 1965, 43:231-245.
68. Yoshino M. Four stages of the rainy season in early summer over East Asia (Part II). Journal of the Meteorological Society of Japan 1966, 44:209-217.
69. Zaks D.P.M., Ramankutty N., Barford C.C., Foley J.A. From Miami to Madison: Investigating the relationship between climate and terrestrial net primary production. Global Biogeochemical Cycles 2007, 21:GB3004. 10.1029/2006GB002705.
70. Zhao M., Running S.W., Nemani R.R. Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. Journal of Geophysical Research 2006, 111:G01002. 10.1029/2004JG000004.