Evaluating a terrestrial ecosystem model with satellite information of greenness

Journal of Geophysical Research: Biogeosciences

Volumn 113, Issue 3, 2008, Pages

  Twine, Tracy E ^b   Kucharik, Christopher J ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AVHRR; BIOME; COMPARATIVE STUDY; CONIFEROUS FOREST; DECIDUOUS FOREST; ECOSYSTEM MODELING; ENVIRONMENTAL FACTOR; GRASSLAND; GROWING SEASON; LEAF AREA INDEX; MODEL VALIDATION; MODIS; PHOTOSYNTHETICALLY ACTIVE RADIATION; SATELLITE IMAGERY; TERRESTRIAL ECOSYSTEM; VEGETATION DYNAMICS;

NORTH AMERICA; UNITED STATES;

POACEAE;

EID: 69549135480     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2007JG000599     Document Type: Article

References (79)

1. Anderson, M. C., J. M. Norman, J. R. Mecikalski, J. A. Otkin, and W. P. Kustas (2007), A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation, J. Geophys. Res., 112, D10117, doi:10.1029/ 2006JD007506.
2. Asner, G. P., A. J. Elmore, L. P. Olander, R. E. Martin, and A. T. Harris (2004), Grazing systems, ecosystem responses, and global change, Annu. Rev. Environ. Educ., 29, 261-299.
3. Avissar, R., and D. Werth (2005), Global hydroclimatological teleconnections resulting from tropical deforestation, J. Hydrometeorol, 6, 134-145.
4. Betts, R. A. (2001), Biogeophysical impacts of land use on present-day climate: Near-surface temperature change and radiative forcing, Atmos. Sci. Lett., 2, 39-51.
5. Bonan, G. (1995), Land-atmosphere CO2 exchange simulated by a land surface process model coupled to an atmospheric general circulation model, J. Geophys. Res., 100, 2817-2831.
6. Bonan, G. (1996), A land surface model (LSM version 1.0) for ecological, hydrological, and atmospheric studies: Technical description and user's guide, 150 pp., Natl. Cent, for Atmos. Res., Boulder, Colo.
7. Bondeau, A., P. C. Smith, S. Zaehle, S. Schaphoff, W. Lucht, W. Cramer, and D. Gerten (2007), Modelling the role of agriculture for the 20th century global terrestrial carbon balance, Glob. Chang. Bio., 13, 679-706.
8. Buermann, W., Y. Wang, J. Dong, L. Zhou, X. Zeng, R. E. Dickinson, G S. Potter, and R. B. Myneni (2002), Analysis of a multiyear global vegetation leaf area index data set, J. Geophys. Res., 107(D22), 4646, doi:10.1029/2001JD000975.
9. Campbell, G. S., and J. M. Norman (1998), An Introduction to Environmental Biophysics, 2nd ed., 286 pp., Springer, New York.
10. Coe, M. T., M. H. Costa, A. Botta, and C. Birkett (2002), Long-term simulations of discharge and floods in the Amazon basin, J. Geophys. Res., 107(D20), 4311, doi:10.1029/2001JD000740.
11. Cohen, W. B., T. K. Maiersperger, Z. Yang, S. T. Gower, D. P. Turner, W. D. Ritts, M. Berterretche, and S. W. Running (2003), Comparisons of land cover and LAI estimates derived from ETM+ and MODlS for four sites in North America: A quality assessment of 2000/2001 provisional MODIS products, Remote Sens. Environ., 88, 233-255.
12. Cohen, W B., et al. (2006), MODIS land cover and LAI collection 4 product quality across nine sites in the western hemisphere, IEEE Trans. Geosci. Remote Sens., 44, 1843-1857.
13. Costa, M. H., and J. A. Foley (1997), Water balance of the Amazon Basin: Dependence on vegetation cover and canopy conductance, J. Geophys. Res., 102, 23,973-23,989.
14. Costa, M. H., S. N. M. Yanagi, P. J. O. P. Souza, A. Ribeiro, and E. J. P. Rocha (2007), Climate change in Amazonia caused by soybean cropland expansion, as compared to caused by pastureland expansion, Geophys. Res. Lett., 34, L07706, doi:10.1029/2007GL029271.
15. Delire, C., and J. A. Foley (1999), Evaluating the performance of a land surface/ecosystem model with biophysical measurements from contrasting environments, J. Geophys. Res., 104, 16,895-16,909.
16. de Noblet-Ducoudre, N., S. Gervois, P. Ciais, N. Viovy, N. Brisson, B. Seguin, and A. Perrier (2004), Coupling the soil-vegetation-atmospheretransfer scheme ORCHIDEE to the agronomy model STICS to study the influence of croplands on the European carbon and water budgets, Agronomie, 24, 397-407.
17. Dickinson, R. E. (1983), Land surface processes and climate-surface albedos and energy balance, Adv. Geophys., 25, 305-353.
18. Diner, D. J., G. P. Asner, R Davies, Y Knyazikhin, J. P. Muller, A. W. Nolin, B. Pinty, C. B. Schaaf, and J. Stroeve (1999), New directions in earth observing: Scientific applications of multiangle remote sensing, Bull. Am. Meteorol Soc., 80, 2209-2228.
19. Donner, S. D. (2003), The impact of cropland cover on river nutrient levels in the Mississippi River Basin, Glob. Ecol. Biogeogr., 12, 341-355.
20. Donner, S. D., and C. J. Kucharik (2003), Evaluating the impacts of land management and climate variability on crop production and nitrate export across the Upper Mississippi Basin, Glob. Biogeochem. Cycles, 17,1085, doi:1010.1029/2001GB001808.
21. Dormer, S. D., G J. Kucharik, and J. A. Foley (2004), The impact of changing land use practices on nitrate export by the Mississippi River, Global Biogeochem. Cycles, 18, GB1028, doi:10.1029/2003GB002093.
22. Dormer, S. D., M. T. Coe, J. D. Lenters, T. E. Twine, and J. A. Foley (2002), Modeling the impact of hydrological changes on nitrate transport in the Mississippi River Basin from 1955-1994, Global Biogeochem. Cycles, 16(3), 1043, doi:10.1029/2001GB001396.
23. El Maayar, M., D. T. Price, G Delire, J. A. Foley, T. A. Black, and P. Bessemoulin (2001), Validation of die integrated bioshpere simulator over Canadian deciduous and coniferous boreal forest stands, J. Geophys. Res., 106, 14,339-314,356.
24. Fang, H., and S. Liang (2005), A hybrid inversion method for mapping leaf area index from MODIS data: Experiments and application to broadleaf and needleleaf canopies, Remote Sens. Environ., 94, 405-424.
25. Foley, J. A., A. Botta, and M. T. Coe (2002), E1 Niño-Southem Oscillation and the climate, ecosystems and rivers of Amazonia, Glob. Biogeochem. Cycles, 16, 1132, doi:1110.1029/2002GB001872.
26. Foley, J. A., I. C. Prentice, N. Ramankutty, S. Levis, D. Pollard, S. Sitch, and A. Haxeltine (1996), An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics, Glob. Biogeochem. Cycles, 10, 603-628.
27. Foley, J. A., et al. (2005), Global consequences of land use, Science, 309, 570-574.
28. Friedl, M. A., et al. (2002), Global land cover mapping from MODIS: Algorithms and early results, Remote Sens. Environ., 83, 287-302.
29. James, M. E., and S. N. V. Kalluri (1994), The Pathfinder AVHRR land data set: An improved coarse-resolution data set for terrestrial monitoring, Int. J Remote Sens., 15, 3347-3364.
30. Jones, G A., and J. R. Kiniry (Eds.) (1986), CERES-Maize: A Simulation Model of Maize Growth and Development, 194 p., Texas A&M Univ. Press, College Station, TX.
31. Justice, G O., J. R. G. Townshend, B. N. Holben, and G J. Tucker (1985), Analysis of the phenology of global vegetation using meteorological satellite data, Int. J. Remote Sens., 6, 1271-1318.
32. Justice, C. O., et al. (1998), The Moderate Resolution Imaging Spectroradiometer (MODIS): Land remote sensing for global change research, IEEE Trans. Geosci. Remote Sens., 36, 1228-1249.
33. Kalnay, E., et al. (1996), The NCEP/NCAR 40-year reanalysis project, Bull. Am. Meteorol Soc., 77, 437-471.
34. Kim, Y., and G. Wang (2005), Modeling seasonal vegetation variation and its validation against Moderate Resolution Imaging Spectroradiometer (MODIS) observations over North America, J. Geophys. Res., 110, D04106, doi:10.1029/2004JD005436.
35. Kistler, R, et al. (2001), The NCEP-NCAR 50-year reanalysis: Monthly means CD-ROM and documentation, Bull. Am. Meteorol Soc., 82,247-268.
36. Knyazikhin, Y., J. V. Martonchik, R. B. Myneni, D. J. Diner, and S. W. Running (1998), Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data, J. Geophys. Res., 103, 32,257-32,275.
37. Kothavala, Z., M. A. Arain, T. A. Black, and D. Verseghy (2005), The simulation of energy, water vapor and carbon dioxide fluxes over common crops by the Canadian Land Surface Scheme (CLASS), Agrie. For. Meteorol., 133, 89-108.
38. Kucharik, C. J. (2003), Evaluation of a process-based agro-ecosystem model (Agro-IBIS) across the U. S. Combelt: Simulations of the interannual variability in maize yield, Earth Interact, 7, 1-33.
39. Kucharik, C. J., and K. R. Brye (2003), Integrated Biosphere Simulator (LBIS) yield and nitrate loss predictions for Wisconsin maize receiving varied amounts of Nitrogen fertilizer, J. Environ. Qual, 32, 247-268.
40. Kucharik, C. J., and T. E. Twine (2007), Residue, respiration, and residuals: Evaluation of a dynamic agroecosystem model using eddy flux measurements and biometrie data, Agrie. For. Meteorol, 146, 134-158, doi: 110.1016/j.agrformet.2007.1005.1011.
41. Kucharik, G J., K. R. Brye, J. M. Norman, J. A. Foley, S. T. Gower, and L. G. Bundy (2001), Measurements and modeling of carbon and nitrogen cycling in agroecosystems of southern Wisconsin: Potential for SOC sequestration during the next 50 years, Ecosystems, 4, 237-258.
42. Kucharik, C. J., C. Barford, M. El Maayar, S. C. Wofsy, R. K. Monson, and D. D. Baldocchi (2006), A multiyear evaluation of a dynamic global vegetation model at three Ameriflux sites: Vegetation structure, phenology, soil temperature, and CO2 and H2O vapor exchange, Ecol. Model., 196, 1-31.
43. Kucharik, C. J., et al. (2000), Testing the performance of a Dynamic Global Ecosystem Model: Water balance, carbon balance, and vegetation structure, Glob. Biogeochem. Cycles, 14, 795-825.
44. Leff, B., N. Ramankutty, and J. A. Foley (2004), Geographic distribution of major crops across the world, Glob. Biogeochem. Cycles, 18, GB1009, doi:1010.1029/2003GB002108.
45. Lenters, J. D., M. T. Coe, and J. A. Foley (2000), Surface water balance of the continental United States, 1963-1995: Regional evaluation of a terrestrial biosphere model and the NCEP/NCAR reanalysis, J. Geophys. Res., 105, 22,393-22,425.
46. Lotsch, A., Y. Tian, M. A. Friedl, and R. B. Myneni (2003), Land cover mapping in support of LAI and FPAR retrievals from EOS-MODIS and MISR: Classification methods and sensitivities to errors, Int. J. Remote Sens., 24, 1997-2016.
47. Loveland, T. R., and A. S. Belward (1997), The IGBP-DIS global 1 km land cover data set, DISCover, Int. J. Remote Sens., 18, 3289-3295.
48. Loveland, T. R., Z. Zhu, D. O. Ohlen, J. F. Brown, B. C. Reed, and L. Yang (1999), An analysis of the IGBP global land cover characterization process, Photogramm. Eng. Remote Sensing, 65, 1021-1031.
49. Lucht, W., C. B. Schaaf, and A. H. Strahler (2000), An algorithm for the retrieval of albedo from space using semiempirical BRDF models, IEEE Trans. Geosci. Remote Sens., 38, 977-998.
50. Marland, G., et al. (2003), The climatic impacts of land surface change and carbon management, and the implications for climate-change mitigation policy, Climate Policy, 3, 149-157.
51. McGuire, A. D., et al. (2001), Carbon balance of the terrestrial biosphere in the twentieth century: Analyses of CO2, climate and land use effects with four process-based ecosystem models, Glob. Biogeochem. Cycles, 15, 183-206.
52. Meyers, T. P., and S. E. Hollinger (2004), An assessment of storage terms in the surface energy balance of maize and soybean, Agrie. For. Meteorol., 125, 105-115.
53. Mitchell, T. D., and P. D. Jones (2005), An improved method of constructing a database of monthly climate observations and associated highresolution grids, Int. J Climatol., 25, 1693-1712, doi:10.1002/joc.1181.
54. Myneni, R. B. (1991), Modeling radiative transfer and photosynthesis in three dimensional vegetation canopies, Agric. For. Meteorol, 55, 323-344.
55. Myneni, R. B., G. Asrar, and F. G. Hall (1992), A three dimensional radiative transfer method for optical remote sensing of vegetated land surfaces, Remote Sens. Environ., 41, 105-121.
56. Myneni, R. B., R. R. Nemani, and S. W. Running (1997), Estimation of global leaf area index and absorbed Par using radiative transfer models, IEEE Trans. Geosci. Remote Sens., 35, 1380-1393.
57. Myneni, R. B., et al. (2002), Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data, Remote Sens. Environ., 83, 214-231.
58. New, M., M. Hulme, and P. D. Jones (1999), Representing twentieth century space-time climate variability. Part 1: Development of a 1961-90 mean monthly terrestrial climatology, J. Climate, 12, 829-856.
59. Osbome, T. M., D. M. Lawrence, A. J. Challinor, J. M. Slingo, and T. R. Wheeler (2007), Development and assessment of a coupled crop-climate model, Glob. Chang. Biol., 13, 169-183, doi:l 10.1111/j.1365-2486.2006.01274.x.
60. Ramankutty, N., and J. A. Foley (1998), Characterizing patterns of global land use: An analysis of global croplands data, Glob. Biogeochem. Cycles, 12(4), 667-685.
61. Ramankutty, N., and J. A. Foley (1999), Estimating historical changes in land cover: North American crops from 1850 to 1992, Glob. Ecol. Biogeogr., 8, 381-396.
62. Ramankutty, N., C. Delire, and P. Snyder (2006), Feedbacks between agriculture and climate: An illustration of the potential unintended consequences of human land use activities, Glob. Planet. Change, 54, 79-93.
63. Scanlon, B. R., I. Jolly, M. Sophocleous, and L. Zhang (2007), Global impacts of conversions from natural to agricultural ecosystems on water resources: Quantity versus quality, Water Resour. Res., 43, W03437, doi: 10.1029/2006WR005486.
64. Sellers, P. J. (1985), Canopy reflectance, photosynthesis and transpiration, Int. J. Remote Sens., 6, 1335-1372.
65. Sellers, P. J., et al. (1996), Comparison of radiative and physiological effects of atmospheric CO2 on climate, Science, 271, 1402-1406.
66. Sharpley, A. N., and J. R. Williams (1990), EPIC-Erosion/Productivity Impact Calculator: 1. Model documentation, 235 p., U.S. Department of Agriculture.
67. Tan, B., J. Hu, D. Huang, W. Yang, P. Zhang, N. V. Shabanov, Y. Knyazikhin, R. R. Nemani, and R. B. Myneni (2005), Assessment of the broadleaf crops leaf area index product from the Terra MODIS instrument, Agrie. For. Meteorol., 135, 124-134.
68. Thompson, S. L., and D. Pollard (1995a), A global climate model (GENESIS) with a land-surface-transfer scheme (LSX), 1, Present-day climate, J. Climate, 8, 732-761.
69. Thompson, S. L., and D. Pollard (1995b), A global climate model (GENESIS) with a land-surface-transfer scheme (LSX), 2, CO2 sensitivity, J. Climate, 8, 1104-1121.
70. Tian, Y., Y. Zhang, Y. Knyazikhin, R. B. Myneni, J. M. Glassy, G. Dedieu, and S. W. Running (2000), Prototyping of MODIS LAI and FPAR algorithm with LASUR and LANDSAT data, IEEE Trans. Geosci. Remote Sens., 38, 2387-2401.
71. Tian, Y., et al. (2004), Comparison of seasonal and spatial variations of leaf area index and fraction of absorbed photosynthetically active radiation from Moderate Resolution Imaging Spectroradiometer (MODIS) and Common Land Model, J. Geophys. Res., 109, D01103, doi:10.1029/ 2003JD003777.
72. Twine, T. E., C. J. Kucharik, and J. A. Foley (2004), Effects of land cover change on the energy and water balance of the Mississippi River basin, J. Hydrometeorol, 5(4), 640-655.
73. Twine, T. E., C. J. Kucharik, and J. A. Foley (2005), Effects of the El NiñoSouthem Oscillation on the climate, water balance and streamflow of the Mississippi River basin, J Climate, 18(22), 4840-4861.
74. Wang, Y., Y. Tian, Y. Zhang, N. El-Saleous, Y. Knyazikhin, E. Vermote, and R. B. Myneni (2001), Investigation of product accuracy as a function of input and model uncertainties: Case study with SeaWiFS and MODIS LAI/FPAR algorithm, Remote Sens. Environ., 78, 299-313.
75. White, M. A., P. E. Thornton, and S. W. Running (1997), A continental phenology model for monitoring vegetation responses to interannual climatic variability, Glob. Biogeochem. Cycles, 11, 217-234.
76. Wilson, T. B., and T. P. Meyers (2007), Determining vegetation indices from solar and photosynthetically active radiation fluxes, Agrie. For. Meteorol, 144, 160-179.
77. Yang, W., D. Huang, B. Tan, J. Stroeve, N. V. Shabanov, Y. Knyazikhin, R. R. Nemani, and R. B. Myneni (2006a), Analysis of leaf area index and fraction of PAR absorbed by vegetation products from the Terra MODIS sensor 2000-2005, IEEE Trans. Geosci. Remote Sens., 44, 1829-1842.
78. Yang, W., et al. (2006b), MODIS leaf area index products: from validation to algorithm improvement,IEEE Trans. Geosci. Remote Sens., 44, 18851898.
79. Zhao, M., S. W. Running, and R. R. Nemani (2006), Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses, J. Geophys. Res., 111, G01002, doi:10.1029/2004JG000004.