Alternative spatial resolutions and estimation of carbon flux over a managed forest landscape in western Oregon

Landscape Ecology

Volumn 15, Issue 5, 2000, Pages 441-452

  Turner, David P ^a   Cohen, Warren B ^b   Kennedy, Robert E ^a  

^a OREGON STATE UNIVERSITY   (United States)

^b PACIFIC NORTHWEST RESEARCH STATION   (United States)

Author keywords

Carbon; Forest; Landscape scale; Net ecosystem production; Net primary production; Oregon; Spatial resolution

Indexed keywords

CARBON FLUX; ESTIMATION METHOD; FOREST; PRIMARY PRODUCTION; SPATIAL RESOLUTION;

UNITED STATES;

EID: 0033940655     PISSN: 09212973     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008116300063     Document Type: Article

References (64)

1. Aselmann, I. and Crutzen, P.J. 1989. Freshwater wetlands: global distribution of natural wetlands and rice paddies, their net primary production, seasonality, and possible methane emissions. J. Atmospheric Chem. 8: 307-358.
2. Bormann, F.H. and Likens, G.E. 1979. Pattern and Process in a Forested Ecosystem. Springer-Verlag, New York.
3. Botkin, D.B. and Simpson, L.G. 1990. Biomass of the North American boreal forest: A step towards accurate global measures. Biogeochemistry 9: 161-174.
4. Bouwman, A.F., Van der Hoek, K.W. and Olivier, J.G.J. 1995. Uncertainties in the global source distribution of nitrous oxide. J. Geophys. Res. 100: 2785-2800.
5. Cao, C. and Lam, N.S. 1997. Understanding the scale and resolution effects in remote sensing and GIS. In Scale in Remote Sensing and GIS. pp. 57-72. Edited by D.A. Quattrochi and M.F. Goodchild. Lewis Publishers, New York, NY
6. Cieszewski, C.J., Turner, D.P. and Phillips, D.L. 1996. Statistical analysis of error propagation in national level carbon budgets. In Spatial Accuracy Assessment in Natural Resources and Environmental Sciences: Second International Symposium, pp. 649-658. Edited by H. Mower, R.L. Czaplewski, E.H. Hamre. General Technical Report RM-GTR-277. Fort Collins, CO, U.S. Department of Agriculture, Forest Service, Rocky Mountain Forest and Range Experimental Station.
7. Cohen, W.B., Spies, T.A. and Fiorella, M. 1995. Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, U.S.A. Int. J. Remote Sensing 16: 721-746.
8. Cohen, W.B., Harmon, M.E., Wallin, D.O. and Fiorella, M. 1996. Two decades of carbon flux from forests of the Pacific Northwest. BioScience 46: 836-844.
9. Cohen, W.B., Fiorella, M., Gray, J., Helmer, E. and Anderson, K. 1998. An efficient and accurate method for mapping forest clearcuts in the Pacific Northwest using Landsat imagery. Photog. Eng. Remote Sensing 64: 293-300.
10. Cropper, W.P., Jr. and Ewel, K.C. 1984. Carbon storage patterns in Douglas-fir ecosystems. Can. J. Forest Res. 14: 855-859.
11. Davis, F.W., Quattrochi, D., Ridd, M.K., Lam, N., Walsh, S., Michaelsen, J., Franklin, J., Stow, D., Johannsen, C. and Johnston, C. 1991. Environmental analysis using integrated GIS and remotely sensed data: some research needs and priorities. Photog. Eng. Remote Sensing 57: 689-697.
12. Farajalla, N.S. and Vieux, B.E. 1995. Capturing the essential spatial variability in distributed hydrological modelling: infiltration parameters. Hydrol. Proc. 9: 55-68.
13. Franklin, J.F. and Dyrness, C.T 1990. Natural Vegetation of Oregon and Washington. Oregon State University Press, Corvallis OR. 452 pp.
14. Franklin, J.F. and Spies, T.A. 1991. Composition, structure, and function of old-growth Douglas-fir forests. In Wildlife and Vegetation in Unmanaged Douglas-fir Forests, pp. 71-82. L.F. Ruggiero, K.B. Aubry, A.B. Carey and M.H. Huff, technical coordinators. USDA Forest Service, Pacific Northwest Research Station, Portland, OR. General Technical Report PNW-6TR-285.
15. Gholz, H.L., Hawk, G.M., Cambell, A. and Cromack, K. Jr. 1985. Early vegetation recovery and element cycles on a clear-cut watershed in western Oregon. Can. J. Forest Res. 15: 400-409.
16. Grier, C.C. and Logan, R.S. 1977. Old-growth Psuedotsuga menziesii communities of a western Oregon watershed: biomass distribution and production budgets. Ecol. Monog. 47: 373-400.
17. Grier, C.C., Lee, K.M., Nadkarni, N.M., Klock, G.O. and Edgerton, P.J. 1989. Productivity of forests of the United States and its relation to soil and site factors and management practices: A review. USDA Forest Service. Gen. Tech. Rep. PNW-GTR-222.
18. Haynes, R., Adams, D. and Mills, J. 1995. The 1993 RPA Timber Assessment Update. GTR-RM-259. USDA Forest Service Rocky Mountain Experimental Station, Ft Collins CO.
19. Harmon, M. E., Ferrell, W.F. and Franklin, J.F. 1990. Effects on carbon storage of conversion of old-growth forests to young forests. Science 247: 699-702.
20. 2 concentrations predicted by an ecosystem process model and three-dimensional atmospheric transport model. Global Biogeochem. Cycles 10: 431-456.
21. Justice, C.O., Townshend, J.R.G., Holben, B.N. and Tucker, C.J. 1985. Analysis of the phenology of global vegetation using meteorological satellite data. Int. J. Remote Sensing 6: 1271-1318.
22. Justice, C.O. et al. (MODLand Team). 1998. The moderate resolution imaging spectroradiometer (MODIS): Land remote sensing for global change research. ISEE Transactions Geosci. Remote Sensing 36: 1228-1249.
23. Kauppi, P. E., Mielikäinen, K.K.K. and Kuusela, K. 1992. Biomass and carbon budget of European forests, 1971 to 1990. Science 256: 70-74.
24. Loveland, T. R., Merchant, J.W., Ohlen, D.O. and Brown, J.F. 1991. Development of a land-cover characteristics database for the conterminous US. Photog. Eng. Remote Sensing 57: 1453-1463.
25. McGuire, A.D., Melillo, J., Joyce, L.A., Kicklighter, D.W., Grace, A.L., Moore, B. and Vorosmarty, C.J. 1992. Interactions between carbon and nitrogen dynamics in estimating net primary productivity for potential vegetation in North America. Global Biogeochem. Cycles 6: 101-124.
26. Milne, B.T. and Johnson, A.R. 1993. Renormalization relations for scale transformations in ecology. In Some Mathematical Questions in Biology: Theoretical Approaches for Predicting Spatial Effects in Ecological Systems, pp. 109-128. Edited by R.H. Gardner. American Mathematical Society, Providence, RI.
27. Moody, A. and Woodcock, C.E. 1994. Scale-dependent errors in the estimation of land cover proportions: Implications for global land-cover datasets. Photog. Eng. Remote Sensing 60: 585-594.
28. Moody, A. and Woodcock, C.E. 1995. The influence of scale and the spatial characteristics of landscapes on land-cover mapping using remote sensing. Landscape Ecol. 10: 363-379.
29. Myneni, R.B. and Williams, D.L. 1994. On the relationship between FAPAR and NDVI. Remote Sensing Env. 49: 200-211.
30. Nelson, R. and Holben, B. 1986. Identifying deforestation in Brazil using multiresolution satellite data. Int. J. Remote Sensing 7: 429-448.
31. Olson, R. and Prince, S. 1996. Global primary production data initiative update. Global Change Newsletter, the International Geosphere-biosphere Programme of the International Council of Scientific Unions, No. 27, p. 13.
32. Pax-Lenney, M. and Woodcock, C.E. 1997. The effect of spatial resolution on the ability to monitor the status of agricultural lands. Remote Sensing Env. 61: 210-220.
33. Phillips, D.L., Brown, S.L., Schroeder, P.E. and Birdsey, R.A. In Review. Toward error analysis of large scale forest carbon budgets. Global Ecol. Biogeography Letters.
34. Pierce, L.L. and Running, S.W. 1995. The effects of aggregating sub-grid land surface variation on large-scale estimates of net primary production. Landscape Ecol. 10: 239-253.
35. Powell, D.S., Faulkner, J.L., Darr, D.R., Zhu, Z. and MacCleery, D.W. 1993. Forest Resources of United States, 1992. USDA Forest Service, General Technical Report RM-234, Fort Collins, CO. 133 pp.
36. Potter, C.S., Randerson, J.T., Field, C.B. et al. 1993. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochem. Cycles 7: 811-841.
37. Price, J.C. and Bausch, C. 1995. Leaf area index estimation from visible and near-infrared reflectance data. Remote Sensing Env. 52: 55-65.
38. Prince, S.D. and Goward, S.N. 1995. Global primary production: a remote sensing approach. J. Biogeography 22: 815-835.
39. Reich, P.B., Turner, D.P. and Bolstad, P. 1999. An approach to spatially-distributed modeling of net primary production (NPP) at the landscape scale and its application in validation of EOS NPP products. Remote Sensing Env. (in press).
40. Riley, R.H., Phillips, D.L., Schuft, M.J. and Garcia, M.C. 1997. Resolution and error in measuring land-cover change: effects on estimating net carbon release from Mexican terrestrial ecosystems. Int. J. Remote Sensing 18: 121-137.
41. Robinson, J.M. 1989. On uncertainty in the computation of global emissions from biomass burning. Climate Change 14: 243-262.
42. Ruimy, A., Dedieu, G. and Saugier, B. 1994. Methodology for the estimation of terrestrial net primary production from remotely sensed data. J. Geophys. Res. 99: 5263-5284.
43. Running, S.R., Baldocchi, D., Turner, D.P., Gower, S.T., Bakwin, P. and Hibbard, K. 1999. A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS satellite data. Remote Sensing Env. (in press).
44. Schimel, D.S. 1995a. Terrestrial ecosystems and the carbon cycle. Global Change Biol. 1: 77-91.
45. Schimel, D.S. 1995b. Terrestrial biogeochemical cycles: global estimates with remote sensing. Remote Sensing Env. 51: 49-56.
46. Schimel, D.S. and Potter, C.S. 1995. Process modeling and spatial extrapolation. In Biogenic Trace Gases: Measuring Emissions from Soil and Water, pp. 358-384. Edited by P.A. Matson and R.C. Harriss. Blackwell Science, Oxford, England.
47. Schroeder, P.E. and Winjum, J.K. 1995. Assessing Brazil's carbon budget: II. Net carbon balance. Forest Ecol. Manag. 75: 87-99.
48. Sellers, P.J. 1987. Canopy reflectance, photosynthesis, and transpiration. II. The role of biophysics in the linearity of their interdependence. Remote Sensing Env. 21: 143-183.
49. Sprugel, D.G. 1985. Natural disturbances and ecosystem energetics. In The Ecology of Natural Disturbances and Patch Dynamics, pp. 335-352. Edited by S.T.A. Pickett and P.S. White. Academic Press, New York NY, USA.
50. Steyaert, L.T., Hall, F.G. and Loveland, T.R. 1997. Land cover mapping, fire regeneration, and scaling studies in the Canadian boreal forest with 1 km AVHRR and Landsat TM data. J. Geophys. Res. 102: 29,581-29,598.
51. Stone, T.A., Schlesinger, P., Houghton, R.A. and Woodwell, G.M. 1994. A map of the vegetation of South America based on satellite imagery. Photog. Eng. Remote Sensing 60: 541-551.
52. Townshend, J.R.C. and Justice, C.O. 1988. Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations. Int. J. Remote Sensing 9: 187-236.
53. Turner, D. P., Koerper, G.J., Harmon, M.E. and Lee, J.J. 1995. A carbon budget for forests of the conterminous United States. Ecol. Appl. 5: 421-436.
54. Turner, D.P., Dodson, R. and Marks, D. 1996. Comparison of alternative spatial resolutions in the application of a spatially distributed biogeochemistry model over complex terrain. Ecol. Modeling 90: 53-67.
55. Turner, J. and Long, J.N. 1975. Accumulation of organic matter in a series of Douglas-fir stands. Can. J. Forest Res. 5: 681-690.
56. Turner, M., O'Neill, R., Gardner, R. and Milne, B. 1989. Effects of changing spatial scale on the analysis of landscape pattern. Landscape Ecol. 3: 153-162.
57. United Nations. 1997. Kyoto protocol to the United Nations framework convention on climate change. United Nations. New York, NY.
58. Van Cleve, K. and Martin, S. 1991. Long-term ecological research in the United States. LTER Research Network Office, University of Washington, Seattle, WA.
59. 2 doubling. Global Biogeochem. Cycles 9: 407-438.
60. Vogt, K. 1991. Carbon budgets of temperate forest ecosystems. Tree Physiol. 9: 69-86.
61. Wallin. D.O., Swanson, F.J., Marks, B., Cissel, J.H. and Kertis, J. 1996. Comparison of managed and pre-settlement landscape dynamics in forests of the Pacific Northwest, USA. Forest Ecol. Manag. 85: 291-309.
62. Waring, R.H. and Franklin, J.F.. 1979. Evergreen forests of the Pacific Northwest. Science 204: 1380-1386.
63. White, J.D. and Running, S.W. 1994. Testing scale dependent assumptions in regional ecosystem simulations. J. Veg. Sci. 5: 687-702.
64. Woodcock, C.E. and Strahler, A.H. 1987. The factor of scale in remote sensing. Remote Sensing Env. 21: 311-332.