A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS satellite data

Remote Sensing of Environment

Volumn 70, Issue 1, 1999, Pages 108-127

  Running, S W ^a   Baldocchi, D D ^b   Turner, D P ^c   Gower, S T ^d   Bakwin, P S ^e   Hibbard, K A ^f  

^a UNIVERSITY OF MONTANA   (United States)

^b OAK RIDGE NATIONAL LABORATORY   (United States)

^c OREGON STATE UNIVERSITY   (United States)

^d UNIVERSITY OF WISCONSIN MADISON   (United States)

^e NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^f UNIVERSITY OF NEW HAMPSHIRE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOSPHERE;

CARBON DIOXIDE; ECOSYSTEMS; GAS EMISSIONS; MATHEMATICAL MODELS; SATELLITES;

REMOTE SENSING;

GLOBAL CHANGE; MONITORING SYSTEM; TERRESTRIAL ECOSYSTEM;

EID: 0033215477     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(99)00061-9     Document Type: Article

References (72)

1. Bakwin P.S., Tans P.P., Hurst D.F., Zhao C. Measurements of carbon dioxide on very tall towers. Results of the NOAA/CMDL program Tellus. 50B:1998;401-415.
2. Baldocchi D., Hicks B.B., Meyers T.P. Measuring biosphere-atmosphere exchanges of biologically related gases with micrometeorological methods. Ecology. 69:1988;1331-1340.
3. Baldocchi D., Valentini R., Running S., Oechel W., Dahlman R. Strategies for measuring and modeling carbon dioxide and water vapour fluxes over terrestrial ecosystems. Global Change Biol. 2:1996;159-168.
4. Baldocchi D.D., Vogel C.A., Hall B. Seasonal variation in carbon dioxide exchange rates above and below a boreal jack pine forest. Agric. Forest Meteorol. 83:1997;147-170.
5. Benson B.J., MacKenzie M.D. Effects of sensor spatial resolution on landscape structure parameters. Landscape Ecol. 10:1995;113-120.
6. Black T.A., den Hartog G., Neumann H.H.et al. Annual cycles of water vapor and carbon dioxide fluxes in and above a boreal aspen forest. Global Change Biol. 2:1996;219-229.
7. Churkina G., Running S.W. Contrasting climate controls on the estimated productivity of global terrestrial biomes. Ecosystems. 1:1998;206-215.
8. 2. Science. 269:1995;1098-1102.
9. Cohen W.B., Fiorella M., Gray J., Helmer E., Anderson K. An efficient and accurate method for mapping forest clearcuts in the Pacific Northwest using Landsat imagery. Photogramm. Eng. Remote Sens. 64:1998;293-300.
10. Cohen W.B., Spies T.A., Fiorella M. Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, U.S.A. Int. J. Remote Sens. 16:1995;721-746.
11. Conway T.J., Tans P.P., Waterman L.S.et al. 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. 99:1994;22,831-22,856.
12. Cramer, W., Kicklighter, D. W., Boned, A., et al., and Potsdam 95 (1999), Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Global Change Biol. 5(Suppl. 1):1-15.
13. Crawford T.L., Dobosy R.J., McMillen R.T., Vogel C.A., Hicks B.B. Air-surface exchange measurement in heterogeneous regions. extending tower observations with spatial structure observed from small aircraft Global Change Biol. 2:1996;275-285.
14. 2 due to seasonal exchange with land biota. Nature. 376:1995;240-243.
15. Dickinson R.E. Land processes in climate models. Remote Sensing Environ. 51:1995;27-38.
16. 2 in a general circulation model. Part 1. Surface carbon fluxes Tellus. 48B:1996;521-542.
17. Fan S.-M., Goulden M., Munger J.et al. Environmental controls on the photosynthesis and respiration of a boreal lichen woodland. a growing season of whole-ecosystem exchange measurements by eddy correlation Oecologia. 102:1995;443-452.
18. 2 data and models. Science. 282:1998;442-446.
19. 2. Nature. 363:1993;439-443.
20. Field C.B., Behrenfield M.J., Randerson J.T., Falkowski P. Primary production of the biosphere. Integrating terrestrial and oceanic components Science. 281:1998;237-240.
21. Field C.B., Randerson J.T., Malmstrom C.M. Global net primary production. combining ecology and remote sensing Remote Sens. Environ. 51:1995;74-88.
22. Foley J.A., Prentice C., Namankutty N.et al. An integrated biosphere model of land surface processes, terrestrial carbon balance and vegetation dynamics. Global Biogeochem. Cycles. 10:1996;603-628.
23. Frolking S., Goulden M.L., Wofsy S.C.et al. Modeling temporal variability in the carbon balance of a spruce/moss boreal forest. Global Change Biol. 2:1996;343-366.
24. Global Climate Observing System (GCOS) (1997), GCOS/GTOS Plan for Terrestrial Climate-Related Observations, Version 2.0 GCOS-32, QMO/TD-No. 796, World Meteorological Organization, Geneva, Switzerland, 130 pp.
25. Goulden M.L., Munger J.W., Fan S.-M., Daube B.C., Wofsy S.C. Exchange of carbon dioxide by a deciduous forest. response to interannual climate variability Science. 271:1996;1576-1578.
26. Gower S.T., Kucharik C.J., 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.
27. Hollinger D.Y., Kelliher F.M., Byers J.N., Hunt J.E., McSeveny T.M., Weir P. Carbon dioxide exchange between an undisturbed old-growth temperate forest and the atmosphere. Ecology. 75:1994;134-150.
28. 2 concentrations predicted by an ecosystem process model and three-dimensional atmospheric transport model. Global Biogeochem. Cycles. 10:1996;431-456.
29. The terrestrial carbon cycle. implications for the Kyoto Protocol Science. 280:1998;1393-1394.
30. Jarvis P.G., Massheder J.M., Hale S.E., Moncreif J.B., Payment R., Scott S.L. Seasonal variation of carbon dioxide, water vapor and energy exchanges of a boreal black spruce forest. J. Geophys. Res. 102(D24):1997;28,953-28,966.
31. Justice C.O., Vermote E., Townshend J.R.G.et al. The Moderate Resolution Imaging Spectroradiometer (MODIS). land remote sensing for global change research IEEE Trans. Geosci. Remote Sens. 36:1998;1228-1249.
32. 2 transport based on observed winds, 1. Analysis of observational data. In Aspects of Climate Variability in the Pacific and the Western Americas (D. H. Peterson, Ed.), Geophys. Monogr., 55, American Geophysical Union, Washington, DC, 363 pp.
33. Keeling C.D., Whorf T.P., Wahlen M., v.d. Plicht J. Interannual extremes in the rate of rise of atmospheric carbon dioxide since 1980. Nature. 375:1995;666-670.
34. 2 concentration. Nature. 381:1996;218-221.
35. Keeling R.F., Shertz S.R. Seasonal and interannual variations in atmospheric oxygen and implications for the global carbon cycle. Nature. 358:1992;723-727.
36. Kern J.S., Turner D.P., Dodson R.F. Spatial patterns in soil organic carbon pool size in the Northwestern United States. Lal R., Kimball J.M., Follett R., Stewart B.A. Soil Processes and the Carbon Cycle. 1998;29-43 CRC Press, Boca Raton, FL.
37. Kimball J.S., Thornton P.E., White M.A., Running S.W. Simulating forest productivity and surface-atmosphere carbon exchange in the BOREAS study region. Tree Physiol. 17:1997;589-599. a.
38. Kimball J.S., White M.A., Running S.W. BIOME-BGC simulations of stand hydrologic processes for BOREAS. J. Geophys. Res. 102(D24):1997;29,043-29,051. b.
39. Kimball J.S., Running S.W., Saatchi S.S. Sensitivity of boreal forest regional water flux and net primary production simulations to sub-grid scale landcover complexity. J. Geophys. Res. in press:1999.
40. Kittel T.G.F., Rosenbloom N.A., Painter T.H., Schimel D.S., VEMAP Modeling Participants The VEMAP integrated database for modeling United States ecosystem/vegetation sensitivity to climate change. J. Biogeogr. 22(4-5):1995;857-862.
41. Landsberg J.J., Gower S.T. Applications of Physiological Ecology to Forest Management. 1997;Physiological Ecology Series, Academic, San Diego, CA.
42. Lenschow D.H. Micrometeorological techniques for measuring biosphere-atmosphere trace gas exchange. Matson P., Harris B. Trace Gases in Ecology. 1995;126-163 Blackwell Science Ltd, Oxford.
43. Melillo J.M., McGuire A.D., Kicklighter A.D., Moore B. III, Vorosmarty C.J., Schloss A.L. Global climate change and terrestrial net primary production. Nature. 363:1993;234-240.
44. Moncrieff J.B., Malhi Y., Leuning R. The propagation of errors in long-term measurements of land-atmosphere fluxes of carbon and water. Global Change Biol. 2:1996;231-240.
45. Moore C.J. Frequency response corrections for eddy correlation systems. Boundary Layer Meteorol. 37:1986;17-35.
46. 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. 386:1997;698-702. a.
47. Myneni R.B., Nemani R.R., Running S.W. Estimation of global leaf area index and absorbed par using radiative transfer models. IEEE Trans. Geosci. Remote Sens. 35:1997;1380-1393. b.
48. 2 and energy fluxes measured during the Arctic System Science Land-atmosphere-Ice Interactions (ARCSS-LAII) flux study. J. Geophys. Res. 103(D22):1998;28,993-29,003.
49. Olson R.J., Biggs J.M., Porter J.H., Mah G.R., Stafford S.G. Managing data from multiple disciplines, scales and sites to support synthesis and modeling. Remote Sens. Environ. 70:1999;99-107.
50. Pielke R.A., Schimel D.S., Lee T.J., Kittel T.G.F., Zeng X. Atmosphere-terrestrial ecosystem interactions. implications for coupled modeling Ecol. Model. 67:1993;5-18.
51. Pierce L.L., Running S.W. The effects of aggregating sub-grid land surface variation on large-scale estimates of net primary production. Landscape Ecol. 10:1995;239-253.
52. 2 concentrations in New England from observations at a forest flux tower. J. Geophys. Res. in press:1998.
53. Prince S.D., Goward S.T. Global primary production. a remote sensing approach J. Biogeogr. 22:1995;815-835.
54. Prince, S. D., Olson, R. J., Dedieu, G., Esser, G., and Cramer, W. (1995), Global Primary Production Data Initiative Project description, IGBP-DIS Working Article No. 12, IGBP-DIS, Toulouse, France.
55. Randerson J.T., Thompson M.V., Conway T.J., Fung I.Y., Field C.B. The contribution of terrestrial sources and sinks to trends in the seasonal cycle of atmospheric carbon dioxide. Global Biogeochem. Cycles. 11:1997;535-560.
56. Reich P.B., Turner D., Bolstad P. An approach to spatially-distributed modeling of net primary production (NPP) at the landscape scale and its application in validating EOS NPP products. Remote Sens. Environ. 70:1999;69-81.
57. Ruimy A., Saugier B., Dedieu G. Methodology for the estimation of terrestrial net primary production from remotely sensed data. J. Geophys. Res. 99:1994;5263-5283.
58. Running S.W. A blueprint for improved global change monitoring of the terrestrial biosphere. NASA Earth Obs. 10(1):1998;8-11.
59. Running S.W., Justice C.O., Salmonson V.et al. Terrestrial remote sensing science and algorithms planned for EOS/MODIS. Int. J. Remote Sens. 15:1994;3587-3620.
60. Schimel D.S. The carbon equation. Nature. 393:1998;208-209.
61. Schimel D.S., VEMAP Participants, Braswell B.H. Continental scale variability in ecosystem processes. Models, data, and the role of disturbance Ecol. Monogr. 67:1997;251-271.
62. Tans P.P. Oxygen isotopic equilibrium between carbon dioxide and water in soils. Tellus. 50:1998;163-178.
63. Tans P.P., Bakwin P.S., Guenther D.W. A feasible global carbon cycle observing system. a plan to decipher today's carbon cycle based on observations Global Change Biol. 2:1996;309-318.
64. 2 budget. Science. 247:1990;1431-1438.
65. Thomlinson J.R., Bolstad P.V., Cohen W.B. Coordinating methodologies for scaling landcover classifications from site-specific to global. steps toward validating global map products Remote Sens. Environ. 70:1999;16-28.
66. Townshend J.R.C., Justice C.O. Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations. Int. J. Remote Sens. 9:1988;187-236.
67. Turner D.P., Cohen W.B., Kennedy R.E., Fassnacht K.S., Briggs J.M. Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites. Remote Sens. Environ. 70:1999;52-68.
68. Turner D.P., Dodson R.D., Marks D. Comparison of alternative spatial resolutions in the application of a spatially distributed biogeochemical model over complex terrain. Ecol. Model. 90:1996;53-67.
69. 2 doubling Global Biogeochem. Cycling. 9:1995;407-437.
70. Waring R.H., Running S.W. Forest Ecosystems: Analysis at Multiple Scales. 2nd ed:1998;Academic, San Diego. 370 pp.
71. Waring R.H., Law B.E., Goulden M.L.et al. Scaling gross ecosystem production at Harvard Forest with remote sensing. a comparison of estimates from a constrained quantum-use efficiency model and eddy correlation Plant Cell Environ. 18:1995;1201-1213.
72. White J.D., Running S.W., Thornton P.E.et al. Assessing simulated ecosystem processes for climate variability at Glacier National Park, USA. Ecol. Appl. 8:1998;805-823.