Estimating the stem carbon production of a coniferous forest using an ecosystem simulation model driven by the remotely sensed red edge

International Journal of Remote Sensing

Volumn 21, Issue 4, 2000, Pages 619-631

  Lucas, N S ^a   Curran, P J ^b   Plummer, S E ^c   Danson, F M ^d  

^a KINGSTON UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c CENTRE FOR ECOLOGY AND HYDROLOGY   (United Kingdom)

^d UNIVERSITY OF SALFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL PRODUCTION; CARBON; FOREST ECOSYSTEM; REMOTE SENSING;

UNITED KINGDOM; WALES;

EID: 0034629212     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311600210461     Document Type: Article

References (52)

1. Aber, J. D., Dríscoll, C., Federer, C. A., Lathrop, R., Lovett, G., Melillo, J. M., Stendler, P., and Vogelman, J., 1993, A strategy for the regional analysis of the effects of physical and chemical climate change on biogeochemical cycles in Northeastern (US) forests. Ecological Modelling, 67, 37-47.
2. Babey, S. K., and Soffer, R. J., 1992, Radiometric calibration of the Compact Airborne Spectrographic Imager (CASI). Canadian Journal of Remote Sensing, 18, 233-242.
3. Bonan, G. B., 1993, Importance of leaf area index and forest type when estimating photo-synthesis in boreal forests. Remote Sensing of Environment, 43, 303-314.
4. Bonan, G. B., 1995, Land-atmosphere interactions for climate system models: coupling biophysical, biochemical, and ecosystem dynamical processes. Remote Sensing of Environment, 51, 57-73.
5. Bonham-Carter, G. F., 1988, Numerical procedures and a computer program for fitting an inverted Gaussian model to vegetation reflectance data. Computers and Geosciences, 11, 339-356.
6. Courts, M. P., and Pklípson, M. P., 1978, Tolerance of tree roots to waterlogging. 1. Survival of Sitka spruce and Lodgepole pine. New Phytologist, 80, 63-69.
7. Cropper, W. P., and Gholz, H. L., 1991, Simulation of the Carbon Dynamics of a Florida Slash Pine Plantation. (Gainesville, Florida 32611: Department of Forestry, University of Florida).
8. Curran, P. J., 1983, Multispectral remote sensing for the estimation of green leaf area index. Philosophical Transactions of the Royal Society, Series A, 309, 257-270.
9. Curran, P. J., 1989, Remote sensing of foliar chemistry. Remote Sensing of Environment, 30, 271-278.
10. Curran, P. J., 1994, Attempts to drive ecosystem simulation models at local to regional scales. In Environmental Remote Sensing from Regional to Global Scales, edited by G. M. Foody and P. J. Curran (Chichester: John Wiley), pp. 149-166.
11. Curran, P. J., Dungan, J. L., and Gholz, H. L., 1991, Exploring the relationship between reflectance red edge and chlorophyll content in Slash pine. Tree Physiology, 7, 33-48.
12. Danson, F. M., and Plummer, S. E., 1995, Red-edge response to forest leaf area index. International Journal of Remote Sensing, 16, 183-188.
13. Field, C., and Mooney, H. A., 1986, The photosynthesis-nitrogen relationship in wild plants. In On the Economy of Plant Form and Function, edited by T. J. Gurnish (Cambridge: Cambridge University Press), pp. 25-55.
14. Fritts, H. C., 1976, Tree Rings and Climate (London: Academic Press).
15. Genthon, C., Barnola, J. M., Raynaud, D., Lorius, C., Jouzel, J., Barkov, N. I., Korotkevich, Y. S., and Kotlyakov, V. M., 1987, Vostok ice core: climatic response to CO2 and orbital forcing changes over the last climatic cycle. Nature, 329, 414-418.
16. Gong, P., Pu, R., and Miner, J. R., 1992, Correlating leaf area index of Ponderosa pine with hyperspectral CASI data. Canadian Journal of Remote Sensing, 18, 275-282.
17. Graetz, R. D., 1990, Remote sensing of terrestrial ecosystem structure: an ecologists pragmatic view. In Remote Sensing of Biosphere Functioning, edited by R. J. Hobbs and H. A. Mooney (London: Springer-Verlag), pp. 5-30.
18. Graham, N. E., 1995, Simulation of recent global temperature trends. Science, 267, 666-671.
19. Green, R. O., 1991, Retrieval of reflectance from AVIRIS measured radiance using radiative transfer code. In Proceedings of the Third Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop, Publication 91-28,(Pasadena, California: Jet Propulsion Laboratory), pp. 200-210.
20. Green, R. M., Lucas, N. S., Curran, P. J., and Foody, G. M., 1997, Coupling remotely sensed data to an ecosystem simulation model: an example involving a coniferous plantation in upland Wales. Global Ecology and Biogeography Letters, 5, 192-205.
21. Guyot, G., Baret, F., and Jacquemoud, S., 1992, Imaging spectroscopy for vegetation studies. In Imaging Spectroscopy: Fundamentals and Prospective Applications, edited by F. Toselli and J. Bodechtel (Dordrecht: Kluwer), pp. 145-165.
22. Hall, F. G., Townshend, J. R., and Engman, E. T., 1995, Status of remote sensing algorithms for estimation of land surface state parameters. Remote Sensing of Environment, 51, 138-156.
23. Hobbs, R. J., and Mooney, H. A., 1990, Remote Sensing and Biosphere Functioning (New York: Springer-Verlag).
24. Horler, D. N. H., Dockray, M., and Barber, J., 1983, The red edge of plant leaf reflectance. International Journal of Remote Sensing, 4, 273-288.
25. Horwitz, W., 1970, Official Methods of Analysis (Washington DC: Association of Analytical Chemists).
26. Hudson, R. J. M., Gherini, S. A., and Goldstein, R. A., 1994, Modelling the global carbon cycle: nitrogen fertilization of the terresrial biosphere and the 'missing CO2 sink. Global Biogeochemical Cycles, 8, 307-333.
27. Huete, A. R., 1988, A soil adjusted vegetation index (SAVI). Remote Sensing of Environment, 23, 213-232.
28. Hungerford, R. D., Nemani, R. R., Running, S. W., and Coughlan, J. C., 1989, MTCLIM: A Mountain Microclimate Simulation Model. Research Paper INT-414 United States Department of Agriculture, Forest Service, Ogden Establishment.
29. Intergovernmental Panel On Climate Change(IPCC), 1996, Climate Change 1995: Impacts, Adaptions and Mitigation of Climate Change: Scientific-Technical Analyses, edited by R. T. Watson, M. C. Zinyowera, R. H. Moss and D. J. Dokken (Cambridge: Cambridge University Press).
30. Jozsa, L., 1988, Increment core sampling techniques for high quality cores. Wood Science Department Special Publication No. SP-30 (Vancouver: Fortintek Canada Corporation).
31. Keeling, C. D., and Whorf, T. P., 1990, Atmospheric CO2-Modern Record, Mauna Loa, Report ORNL/CDIAC-46. Oak Ridge National Laboratory, Tennessee.
32. Kimes, D. S., 1984, Modelling the directional reflectance from complete heterogeneous vegeta-tion canopies with various leaf orientated canopies. Journal of the Optical Society of America, 1, 725-737.
33. Kneizys, F. X., Shettle, E. P., Abreu, L. W., Chetwynd, J. H., Anderson, G. P., Gallery, W. O., Selby, E. A., and Clough, S. A., 1988, Users guide to LOWTRAN 7. AFGL- TR-8-0177(Bedford, Massachussetts: Airforce Geophysics Laboratory).
34. Kupiec, J., 1994, The Remote Sensing of Foliar Chemistry. Unpublished Ph.D. Thesis, University of Wales, Swansea.
35. Kupiec, J., and Curran, P. J., 1994, Remote Sensing of Foliar Chemistry: Moving from the Leaf to the Canopy. Report IV for the NASA Accelerated Canopy Chemistry Programme 1993-1995, Department of Geography, University of Wales, Swansea.
36. Landsberg, J. J., Kaufmann, M. R., Binkley, D., Isebrands, J., and Jarvis, P. G., 1991, Evaluating progress towards closed forest models based on fluxes of carbon, water and nutrients. Tree Physiology, 9, 1-15.
37. Lucas, N. S., 1995, Coupling Remotely Sensed Data to a Forest Ecosystem Simulation Model. Unpublished Ph.D. Thesis, University of Wales, Swansea.
38. Matson, P., Johnson, L., Billow, C., Miller, J., and Pu, R., 1994, Seasonal patterns and remote spectral estimation of canopy chemistry across the Oregon transect. Ecological Applications, 4, 280-290.
39. Millard, P., and Proe, M. F., 1992, Storage and internal cycling of nitrogen in relation to seasonal growth of Sitka spruce. Tree Physiology, 10, 33-43.
40. Nemani, R. R., Pierce, L. L., Running, S. W., and Band, L. E., 1993, Forest ecosystem processes at the watershed scale: sensitivity to remotely sensed leaf area index estimates. International Journal of Remote Sensing, 14, 2519-2534.
41. Peterson, D. L., Aber, J. D., Matson, P. A., Card, D. H., Swanberg, N., Wessman, C., and Spanner, M. A., 1988, Remote sensing of forest canopy and leaf biochemical contents. Remote Sensing of Environment, 24, 85-108.
42. Roughgarden, J., Running, S. W., and Matson, P. A., 1991, What does remote sensing do for ecology? Ecology, 76, 1918-1922.
43. Robinson, D. H., 1995, Inter-Relationships Between Soil Pipes and Landslides in a Small Upland Catchment, Llyn Brianne Region, Mid-Wales. Unpublished Ph.D. Thesis, University of Wales, Swansea.
44. Running, S. W., 1994, Testing FOREST-BGC ecosystem process simulations across a climatic gradient in Oregon. Ecological Applications, 4, 238-247.
45. Running, S. W., and Coughlan, J. C., 1988, A general model of forest ecosystem process for regional applications. I. Hydrologic balance, canopy gas exchange and primary production processes. Ecological Modelling, 42, 125-154.
46. Schimel, D. S., 1995, Terrestrial biogeochemical cycles: global estimates with remote sensing. Remote Sensing of Environment, 51, 49-56.
47. Smith, J. A., Lin, T. L., and Ranson, K. J., 1980, The Lambertian assumption of Landsat data. Photogrammetric Engineering and Remote Sensing, 46, 1183-1189.
48. Smith, G. M., and Curran, P. J., 1996, The estimation of foliar biochemical content of a Slash Pine canopy from AVIRIS imagery. Canadian Journal of Remote Sensing, 21, 234-244.
49. Spanner, M. A., Pierce, L. L., Peterson, D. L., and Running, S. W., 1990, Remote sensing of temperate coniferous forest leaf area index: The influence of canopy closure, understory vegetation and background reflectance. International Journal of Remote Sensing, 11, 95-111.
50. Tickell, C., 1977, Climatic Change and World Affairs (Oxford: Pergamon Press).
51. Vane, G., and Goetz, A. F. H., 1993, Terrestrial imaging spectrometry: current status, future trends. Remote Sensing of Environment, 44, 117-126.
52. Wisniewski, J., and Sampson, R. N., 1993, Terrestrial Biospheric Carbon Fluxes: Quantification of Sinks and Sources of CO2 (Dordrecht: Kluwer).