Interannual variability of global terrestrial primary production: Results of a model driven with satellite observations

Journal of Geophysical Research Atmospheres

Volumn 105, Issue D15, 2000, Pages 20077-20091

  Goetz, Scott J ^a,b   Prince, Stephen D ^a,b   Small, Jennifer ^a,b   Gleason, Arthur C R ^a,b  

^a Lab Global Remote Sensing Studs   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GLOBAL PERSPECTIVE; MODELING; PRIMARY PRODUCTION; TEMPORAL VARIATION;

EID: 0033785535     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2000JD900274     Document Type: Article

References (101)

1. Alexandrov, G. A., and T. Oikawa, Contemporary variations of terrestrial net primary production: The use of satellite data in the light of an extremal principle, Ecol. Modell., 95(1), 113-118, 1997.
2. Anyamba, A., and J. R. Eastman, Interannual variability of NDVI over Africa and its relationship to El Niño/Southern Oscilliation, Int. J. Remote Sens., 17, 2533-2548, 1996.
3. Baldocchi, D., R. Valentini, S. Running, W. Oechel, and R. Dahlman, Strategies for measuring and modeling carbon dioxide and water vapour fluxes over terrestrial ecosystems, Global Change Biol., 2, 159-168, 1996.
4. Birdsey, R. A., A. J. Plantinga, and L. S. Heath, Past and prospective carbon storage in United States forests, For. Ecol. Manage., 58(1/2), 33-40, 1993.
5. Bradley, N. L., A. C. Leopold, J. Ross, and W. Huffaker, Phenological changes reflect climate change in Wisconsin, Proc. Natl. Acad. Sci., 96, 9701-9704, 1999.
6. Brown, R. D., and B. E. Goodison, Interannual variability in reconstructed Canadian snow cover, 1915-1992, J. Clim., 9(6), 1299-1318, 1996.
7. CEOS, Towards an Integrated Global Observing Strategy: 1997 CEOS Yearbook, Smith Syst. Eng. Limited, ESA, Guildford, U.K., 1997.
8. Churkina, G., and S. W. Running, Contrasting climate controls on the estimated productivity of global terrestrial biomes, Ecosystems, 1, 206-215, 1998.
9. 2, Science, 269(5227), 1098-1101, 1995a.
10. 2 as inferred by d13 measurements from the NOAA Climate Monitoring and Diagnostics Laboratory global air sampling network, J. Geophys. Res., 100(D3), 5051-5070, 1995b.
11. Collate, G. J., J. T. Ball, C. Grivet, and J. A. Berry, Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: A model that includes a laminar boundary layer, Agric. For. Meteorol., 54, 107-136, 1991.
12. Conway, T. J., P. P. Tans, L. S. Waterman, K. W. Thoning, D. R. Kitzis, K. A. Masarie, and N. Zhang, Evidence for interannual variability of the carbon cycle from the National Oceanic and Atmospheric Administration/Climate Monitoring and Diagnostics Laboratory global air sampling network, J. Geophys. Res., 99, 22,831-22,855, 1994.
13. Cramer, W., D. W. Kicklighter, A. Bondeau, B. Moore, G. Churkina, B. Nemry, A. Ruimy, and A. L. Schloss, Comparing global models of terrestrial net primary productivity (NPP): Overview and key results, Global Change Biol., 5(Suppl. 1), 1-15, 1999.
14. Czajkowski, K. P., S. N. Goward, T. Mulhern, S. J. Goetz, A. Walz, D. Shirey, S. Stadler, S. D. Prince, and R. O. Dubayah, Recovery of environmental variables from thermal remote sensing, in Thermal Remote Sensing in Land Surface Processes, edited by J. Luvall and D. A. Quattrochi, Ann Arbor Press, Chelsea, Mich, 2000.
15. 2 sink?, Global Biogeochem. Cycles, 7, 599-609, 1993.
16. Defries, R. S., and J. R. G. Townshend, NDVI-derived land cover classifications at a global scale, Int. J. Remote Sens., 15(17), 3567-3586, 1994.
17. Dubayah, R., E. F. Wood, and D. Lavallee, Multiscaling analysis in distributed modeling and remote sensing: An application using soil moisture, in Scale in Remote Sensing and GIS, edited by D. A. Quattrochi and M. F. Goodchild, CRC/Lewis Press, New York, 1997.
18. Easterling, D. R., Karl, T. R., K. P. Gallo, D. A. Robinson, K. E. Trenberth, and A. Dai, Observed climate variability and change of relevance to the biosphere, J. Geophys. Res., this issue.
19. Eidenshink, J. C., and J. L. Faundeen, The 1 km AVHRR global data set: First stages in implementation, Int. J. Remote Sens., 15(17), 3443-3462, 1994.
20. Fan, S., M. Gloor, J. Mahlman, S. Pacala, J. Sarmiento, T. Takahashi, and P. Tans, A large terrestrial carbon sink implied by atmospheric and oceanic carbon dioxide data and models, Science, 282, 442-446, 1998.
21. 3 in the central Amazon forest, J. Geophys. Res., 95, 16,851-16,864, 1990.
22. Field, C. B., Ecological scaling of carbon gain to stress and resource availability, in Response of Plants to Multiple Stresses, edited by H. A. Mooney, W. E. Winner, and E. J. Pell, pp. 35-65, Academic, San Diego, Calif., 1991.
23. Foley, J. A., I., C. Prentice, and A. Haxeltine, An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics, Global Biogeochem. Cycles, 10(4), 603-628, 1996.
24. Francey, R. J., P. P. Tans, C. E. Allison, I. G. Enting, J. W. C. White, and M. Trolier, Changes in oceanic and terrestrial carbon uptake since 1982, Nature, 373, 326-330, 1995.
25. 2 fertilization to the missing biospheric sink, Global Biogeochem. Cycles, 9, 541-556, 1995.
26. Friend, A. D., A. K. Stevens, R. G. Knox, and M. Cannell, A process based terrestrial biosphere model of ecosystem dynamics (Hybrid 3.0), Ecol. Modell., 95, 249-287, 1997.
27. Gleason, A., S. J. Goetz, S. D. Prince, and J. Small, Effects of orbital drift on land surface temperature recovered from the AVHRR sensors, Remote Sens. Environ., in press, 2000.
28. Goetz, S. J., and S. D. Prince, Variability in carbon exchange and light utilization among boreal forest stands: Implications for remote sensing of net primary production, Can. J. For. Res., 28(3), 375-389, 1998.
29. Goetz, S. J., and S. D. Prince, Modeling terrestrial carbon exchange and storage: Evidence and implications of functional convergence in light use efficiency, Adv. Ecol. Res., 28, 57-92, 1999.
30. Goetz, S. J., S. D. Prince, S. N. Goward, M. Thawley, and J. Small, Satellite remote sensing of primary production: An improved production efficiency modeling approach, Ecol. Model., 122(3), 239-255, 1999a.
31. Goetz, S. J., S. D. Prince, S. N. Goward, M. M. Thawley, J. Small, and A. Johnston, Mapping net primary production and related biophysical variables with remote sensing: Application to the BOREAS region, J. Geophys. Res., 104(22), 27,719-27,733, 1999b.
32. Goulden, M. L., J. W. Munger, S.-M. Fan, B. C. Daube, and S. C. Wofsy, Exchange of carbon dioxide by a deciduous forest: Response to interannual climate variability, Science, 271, 1576-1578, 1996.
33. Goulden, M. L., et al., Sensitivity of boreal forest carbon balance to soil thaw, Science, 279, 214-216, 1998.
34. Goward, S. N., and K. F. Huemmrich, Vegetation canopy PAR absorbance and the normalized difference vegetation index: An assessment using the SAIL model, Remote Sens. Environ., 39, 119-140, 1992.
35. Goward, S. N., and S. D. Prince, Transient effects of climate on vegetation dynamics: Satellite observations, J. Biogeogr., 22, 549-563, 1995.
36. Goward, S. N., R. H. Waring, and D. G. Dye, Ecological remote sensing at OTTER: Macroscale satellite observations, Ecol. Appl., 4(2), 322-343, 1994.
37. Grace, J., et al., Carbon dioxide uptake by an undisturbed tropical rain forest in southwest Amazonia, 1992 to 1993, Science, 270, 778-780, 1995.
38. Groisman, P. Y., and D. R. Easterling, Variability and trends of precipitation and snowfall over the United States and Canada, J. Clim., 7, 184-205, 1994.
39. Groisman, P. Y., T. R. Karl, and R. W. Knight, Observed impact of snow cover on the heat balance and the rise of continental spring temperatures, Science, 263, 198-200, 1994.
40. Gutman, G. G., On the use of long-term global data of land reflectances and vegetation indices derived from the advanced very high resolution radiometer, J. Geophys. Res., 104, 6241-6262, 1999a.
41. Gutman, G. G., On the monitoring of land surface temperatures with the NOAA/AVHRR: Removing the effect of satellite orbit drift, Int. J. Remote Sens., 20(17), 3407-3413, 1999b.
42. Hall, F. G., BOREAS IN 1999: Experiment and science overview, J. Geophys. Res., 104, 27,627-27,639, 1999.
43. Hanan, N. P., S. D. Prince, and A. Bégué, Modelling vegetation primary production during HAPEX-Sahel using production efficiency and canopy conductance model formulations, J. Hydrol., 188/189(1/4), 651-675, 1997.
44. Hayward, T. L., Pacific Ocean climate change: Atmospheric forcing, ocean circulation and ecosystem response, Trends Ecol. Evol., 12(4), 150-154, 1997.
45. Houghton, R. A., The annual flux of carbon to the atmosphere from changes in land use 1850-1990, Tellus, 51(2), 298-313, 1999.
46. Houghton, R. A., J. L. Hackler, and K. T. Lawrence, The U.S. carbon budget: Contributions from land-use change, Science, 285, 574-544, 1999.
47. Hunt, E. R., Relationship between woody biomass and PAR conversion efficiency for estimating net primary production from NDVI, Int. J. Remote Sens., 15, 1725-1730, 1994.
48. James, M., and S. Kalluri, The Pathfinder AVHRR land data set: An improved coarse resolution data set for terrestrial monitoring, Int. J. Remote Sens., 15(17), 3347-3364, 1994.
49. Jin, M., and R. E. Dickeson, Interpolation of surface radiative temperature measured from polar orbiting satellites to a diurnal cycle, 1, Without clouds, J. Geophys. Res., 104, 2105-2116, 1999.
50. Jones, P. D., Hemispheric surface air temperature variations: A reanalysis and update to 1993, J. Clim., 7, 1794-1802, 1994.
51. Kalnay, E., The NCEP/NCAR 40-year reanalysis project, Bull. Am. Meteorol. Soc., 77, 437-471, 1996.
52. Kaufman, Y. J., and B. N. Holben, Calibration of the AVHRR visible and near-IR bands by atmospheric scattering, ocean glint and desert reflection, Int. J. Remote Sens., 14(1), 21-52, 1993.
53. Keeling, C. D., T. P. Whorf, M. Wahlen, and J. van der Plicht, Interannual extremes in the rate of rise of atmospheric carbon dioxide since 1980, Nature, 575(6533), 666-670, 1995.
54. 2 concentration, Nature, 381(6519), 218-222, 1996.
55. Kicklighter, D., D. W. Bondeau, and A. Schloss, Comparing global models of terrestrial net primary productivity (NPP): Global pattern and differentiation by major biomes, Global Change Biol., 1(Suppl. 1), 16-24, 1999.
56. Kindermann, J., G. Würth, and G. H. Kohlmaier, Interannual variation of carbon exchange fluxes in terrestrial ecosystems, Global Biogeochem. Cycles, 10(4), 737-755, 1996.
57. Kumar, M., and J. L. Monteith, Remote sensing of plant growth, in Plants and the Daylight Spectrum, edited by H. Smith, pp. 133-144, Academic, San Diego, Calif., 1982.
58. Kurz, W. A., and M. J. Apps, A 70-year retrospective analysis of carbon fluxes in the Canadian forest sector, Ecol. Appl., 9(2), 526-547, 1999.
59. Liu, J., J. M. Chen, J. Cihlar, and W. Chen, Net primary productivity distribution in the BOREAS study region from a process model driven by satellite and surface data, J. Geophys. Res., 104, 27,735-27,754, 1999.
60. Maiden, M., and S. Freco, NASA's Pathfinder Data Set Program: Land surface parameters, Int. J. Remote Sens., 15(17), 3333-3346, 1994.
61. Maisongrande, P., A. Ruimy, and B. Saugier, Monitoring seasonal and interannual variations of gross primary productivity, net primary productivity and net ecosystem productivity using a diagnostic model and remotely-sensed data, Tellus, 47(1/2), 178-190, 1995.
62. Malmström, C. M., M. V. Thompson, G. P. Juday, S. O. Los, J. T. Randerson, and C. B. Field, Interannual variation in global-scale net primary production: Testing model estimates, Global Biogeochem. Cycles, 11(3), 367-392, 1997.
63. McGuire, A. D., J, M. Melillo, and A. L. Schloss, Equilibrium responses of global net primary production and carbon storage to doubled atmospheric carbon dioxide: Sensitivity to changes in vegetation nitrogen concentration, Global Biogeochem. Cycles, 11(2), 173, 1997.
64. Meeson, B., F. E. Corprew, J. McManus, D. M. Myers, J. W. Closs, K. Sun, D. J. Sunday, and P. J. Sellers, ISLSCP Initiative I - Global Data Sets for Land-Atmosphere Models, 1987-1988, [CD-ROM], NASA, Greenbelt, Md., 1995.
65. Menzel, A., and P. Fabian, Growing season extended in Europe, Nature, 397(6721), 659-659, 1999.
66. Myneni, R. B., S. O. Los, and G. Asrar, Potential gross primary productivity of terrestrial vegetation from 1982-1990, Geophys. Res. Lett., 22(19), 2617, 1995.
67. Myneni, R. B., S. O. Los, and C. J. Tucker, Satellite-based identification of linked vegetation index and sea surface temperature anomaly areas from 1982-1990 for Africa, Australia and South America, Geophys. Res. Lett., 23(7), 729-732, 1996.
68. Myneni, R. B., C. D. Keeling, and R. R. Nemani, Increased plant growth in the northern high latitudes from 1981 to 1991, Nature, 386(6626), 698-701, 1997.
69. Myneni, R. B., C. J. Tucker, G. Asrar, and C. D. Keeling, Interannual variations in satellite-sensed vegetation index data from 1981 to 1991, J. Geophys. Res., 103, 6145-6160, 1998.
70. 2 signal, Global Change Biol., 5(Suppl. 1), 65-76, 1999.
71. Potter, C. S., and S. A. Klooster, Detecting a terrestrial biosphere sink for carbon dioxide: Interannual ecosystem modeling for the mid-1980s, Clim. Change, 42(3), 489-503, 1999.
72. Potter, C. S., J. T. Randerson, C. B. Field, P. A. Matson, P. M. Vitousek, H. A. Mooney, and S. A. Klooster, Terrestrial ecosystem production: A process model based on global satellite and surface data, Global Biogeochem. Cycles, 7(4), 811-841, 1993.
73. Potter, C., S. Klooster, and V. Brooks, Interannual variability in terrestrial net primary production: Exploration of trends and controls on regional to global scales, Ecosystems, 2(1), 36-48, 1999.
74. Prince, S. D., A model of regional primary production for use with coarse-resolution satellite data, Int. J. Remote Sens., 12(6), 1313-1330, 1991.
75. Prince, S. D., and S. J. Goward, Global primary production: A remote sensing approach, J. Biogeogr., 22, 815-835, 1995.
76. Prince, S. D., and S. N. Goward, Evaluation of the NOAA/NASA Pathfinder AVHRR land data set for global primary production modeling, Int. J. Remote Sens., 17(1), 217-221, 1996.
77. Prince, S. D., E. Brown de Colstoun, and L. Kravitz, Evidence from rain use efficiencies does not support extensive Sahelian desertification, Global Change Biol., 4(4), 359-374, 1998a.
78. Prince, S. D., S. J. Goetz, K. Czajkowski, R. Dubayah, and S. N. Goward, Inference of surface and air temperature, atmospheric precipitable water and vapor pressure deficit using AVHRR satellite observations: Validation of algorithms, J. Hydrol., 212/213(1/4), 231-250, 1998b.
79. Randerson, J. T., M. V. Thompson, T. J. Conway, I. Y. Fung, and C. B. Field, The contribution of terrestrial sources and sinks to trends in the seasonal cycle of atmospheric carbon dioxide, Global Biogeochem. Cycles, 11(4), 535-560, 1997.
80. 2 fluxes over plant canopies and solar radiation: A review, Adv. Ecol. Res., 26, 1-51, 1995.
81. Ruimy, A., G. Dedieu, and B. Saugier, TURC - Terrestrial Uptake and Release of Carbon by vegetation: A diagnostic model of continental gross and net primary productivity, Global Biogeochem. Cycles, 10, 269-285, 1996.
82. Running, S. W., D. Baldocchi, S. T. Gower, D. Turner, P. Bakwin, and K. Hibbard, A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS satellite data, Remote Sens. Environ., 70(1), 108-127, 1999.
83. Salafsky, N., Drought in the rain forest, part II, An update based on the 1994 ENSO event, Clim. Change, 39(2/3), 601-619, 1998.
84. Sarmiento, J. L., C. Le Quéré, and S. W. Pacala, Limiting future atmospheric carbon dioxide, Global Biogeochem. Cycles, 9, 121-137, 1995.
85. Scott, J., M. Alexander, J. Collins, and C. Smith, Interactive visualization of climate data on the world wide web, Bull. Am. Meteorol. Soc., 78(9), 1985-1989, 1997.
86. Scurlock, J. M. O., W. Cramer, R. J. Olson, W. J. Parton, and S. D. Prince, Terrestrial NPP: Toward a consistent data set for global model evaluation, Ecol. Appl., 9(3), 913-928, 1999.
87. Sellers, P. J., et al., Remote sensing of the land surface for studies of global change: Models-algorithms-experiments, Remote Sens. Environ., 51, 3-26, 1995.
88. Sellers, P. J., D. A. Randall, and G. J. Collatz, A revised land surface parameterization (SiB2) for atmospheric GCMs, part I, Model formulation, J. Clim., 9, 676-705, 1996.
89. Tanré, D., B. N. Holben, and Y. J. Kaufman, Atmospheric correction algorithms for NOAA-AVHRR products: Theory and application, IEEE Trans. Geosci. Remote Sens., 30, 231-248, 1992.
90. Thawley, M. M., A sensitivity analysis of the Global Production Efficiency Model, Masters thesis, Univ. of Maryland, College Park, 1998.
91. Thompson, M. V., J. T. Randerson, C. M. Malmström, and C. B. Field, Change in net primary production and heterotrophic respiration: How much is necessary to sustain the terrestrial carbon sink?, Global Biogeochem. Cycles, 10(4), 711-726, 1996.
92. 2 in the United States, Tellus, 51(2), 414-452, 1999.
93. Tian, H., J. M. Melillo, D. W. Kicklighter, A. D. McGuire, J. Helfrich, B. Moore, and C. J. Vörösmarty, Effect of interannual climate variability ion carbon storage in Amazonian ecosystems, Nature, 396, 664-667, 1998.
94. Townshend, J. R. G., Global data sets for land applications from the Advanced Very High Resolution Radiometer: An introduction, Int. J. Remote Sens., 15(17), 3319-3332, 1994.
95. Tucker, C. J., and W. W. Newcomb, Satellite determination of desert spatial extent, Int. J. Remote Sens., 15(17), 3547-3566, 1994.
96. Turner, D. P., G. J. Koerper, M. E. Harmon, and J. J. Lee, A carbon budget for forests of the conterminous United States, Ecol. Appl., 5(2), 421-436, 1995.
97. 2 doubling, Global Biogeochem. Cycles, 9(4), 407-437, 1995.
98. Waide, R. B., Status of the U.S. Long Term Ecological Research Network (LTER), in The International Long Term Ecological Research Network 1998, edited by C. F. R. Waide, P. Sprott, L. Williams, pp. 74-85, LTER Network Off., 1998. (Available from office@lternet.edu)
99. Xiao, X., J. M. Melillo, D. W. Kicklighter, A. D. McGuire, R. G. Prinn, C. Wang, P. H. Stone, and A. Sokolov, Transient climate change and net ecosystem production of the terrestrial biosphere, Global Biogeochem. Cycles, 12(2), 345-360, 1998.
100. Xue, Y., P. J. Sellers, J. L. Kinter, and J. Shukla, A simplified biosphere model for global climate studies, J. Clim., 4(3), 345-364, 1991.
101. Yang, J., and S. D. Prince, A theoretical assessment of the relation between woody canopy cover and red reflectance, Remote Sens. Environ., 59(3), 428-439, 1997.