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Remote Sensing of Litter and Soil Organic Matter Decomposition in Forest Ecosystems

  • John D. Aber
  • Carol A. Wessman
  • David L. Peterson
  • Jerry M. Melillo
  • James H. Fownes
Part of the Ecological Studies book series (ECOLSTUD, volume 79)

Abstract

Remote sensing is increasingly recognized as an important tool for landscape or regional estimation of ecosystem function, and for determination of biosphere-atmosphere interactions. Existing remote sensing systems have been used to monitor the seasonal phenology of standing green biomass and its production on a continental scale (Tucker et al., 1985); to measure changes in forest canopy leaf area index over large environmental gradients (Spanner et al., 1984, Running et al., 1986, Peterson et al., 1987); to track deforestation in tropical regions (Woodwell et al., 1986), and for the detection of ecosystem stress and forest decline (Rock et al., 1986). These approaches have relied on the detection of large structural changes in canopy properties that relate directly to processes controlling net primary productivity.

Keywords

Soil Organic Matter Lignin Content Litter Decomposition Nitrogen Mineralization Sugar Maple 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Aber, J.D., and Melillo, J.M. (1980). Litter decomposition: measuring relative contribution of organic matter and nitrogen to forest soils. Canad. J. Bot. 58: 416–421.Google Scholar
  2. Aber, J.D., and Melillo, J.M. (1982). Nitrogen immobilization in decaying hardwood leaf litter as a function of initial nitrogen and lignin content. Canad. J. Bot. 60: 2263–2269.CrossRefGoogle Scholar
  3. Aber, J.D., Melillo, J.M., and Federer, C.A. (1982). Predicting the effects of rotation length, harvest intensity and fertilization on fiber yield from northern hardwood forests in New England. Forest Sci. 28: 31–45.Google Scholar
  4. Berg, B., and Agren, G. (1984). Decomposition of needle litter and its organic-chemical components-theory and field experiments. Long-term decomposition in a scots pine forest III. Canad. J. Bot. 62: 2880–2888.CrossRefGoogle Scholar
  5. Berg, B., Hannus, K., Popoff, T., and Theander, O. (1982). Changes in organic chemical components of needle litter during decomposition. Long term decomposition in a scots pine forest I. Canad. J. Bot. 60: 1310–1319.CrossRefGoogle Scholar
  6. Coley, P.D., Bryant, J.P., and Chapin, F.S. (1985). Resource availability and plant antiherbivore defense. Science 230: 895–899.PubMedCrossRefGoogle Scholar
  7. Cromack, K. (1973). Litter production and litter decomposition in a mixed hardwood watershed and in a white pine watershed at Coweeta Hydrologic Station, North Carolina. Dissertation, Univ. of Georgia, Athens.Google Scholar
  8. Flanagan, P.W., and Van Cleve, K. (1983). Nutrient cycling in relation to decomposition and organic matter quality in taiga ecosystems. Canad. J. Forest Res. 13: 795–817.CrossRefGoogle Scholar
  9. Fownes, J.H. (1985). Water use and primary production of Wisconsin hardwood forests. Dissertation, Univ. of Wisconsin, Madison.Google Scholar
  10. Goetz, A.F.H., Vane, G., Solomon, J., and Rock, B.N. (1985). Imaging spectrometry for earth remote sensing. Science 228: 1147–1153.PubMedCrossRefGoogle Scholar
  11. Jordan, W.R., Gilpin, M.E., and Aber, J.D. (1987). Restoration ecology: Ecological restoration as a technique for basic research, pp. 3–22. In W.R. Jordan, M.E. Gilpin, and J.D. Aber (eds.), Restoration Ecology: A Synthetic Approach to Ecological Research. Cambridge Univ. Press, Cambridge, England.Google Scholar
  12. Lennon, J.M., Aber, J.D., and Melillo, J.M. (1985). Primary production and nitrogen allocation of field grown sugar maple in relation to nitrogen availability. Biogeochem. 1: 135–154.CrossRefGoogle Scholar
  13. McClaugherty, C.A., and Berg, B. (1987). Cellulose, lignin and nitrogen concentrations as rate regulating factors in late stages of forest litter decomposition. Pedobiologia 30: 101–112.Google Scholar
  14. Meentemeyer, V. (1978). Macroclimate and lignin control of litter decomposition rates. Ecology 59: 465–472.CrossRefGoogle Scholar
  15. Meentemeyer, V., and Berg, B. (1986). Regional variation in rate of mass loss of Pinus sylvestris needle litter in Swedish pine forests as influenced by climate and litter quality. Scand. J. Forest Res. 1: 167–180.CrossRefGoogle Scholar
  16. Melillo, J.M., and Aber, J.D. (1984). Nutrient immobilization in decaying litter: an example of carbon-nutrient interactions. In: H. Cooley and F. Goley (eds.), Trends in Ecological Research. Plenum, NY.Google Scholar
  17. Melillo, J.M., Aber, J.D., Linkins, A.E., Ricca, A., Fry, B., and Nadelhoffer, K.J. (1989). Carbon and nitrogen dynamics along the decay continuum: Plant litter to soil organic matter. Plant and Soil (in press).Google Scholar
  18. Melillo, J.M., Aber, J.D., and Muratore, J.M. (1982). Nitrogen and lignin control of hardwood leaf litter decomposition dynamics. Ecology 63: 621–626.CrossRefGoogle Scholar
  19. Miller, A.G., Miller, J.D., and Cooper, J.M. (1981). Optimum foliage nitrogen concentration in pine and its change with stand age. Canad. J. Forest Res. 11: 563–572.CrossRefGoogle Scholar
  20. Mooney, H.A., and Gulmon, S.L. (1982). Constraints on leaf structure and function in relation to herbivory. Bio Science 32: 198–206.Google Scholar
  21. Nadelhoffer, K.J., Aber, J.D., and Melillo, J.M. (1983). Leaf-litter production and soil organic matter dynamics along a nitrogen mineralization gradient in southern Wisconsin (USA). Canad. J. Forest Res. 13: 12–21.CrossRefGoogle Scholar
  22. Nadelhoffer, K.J., Aber, J.D., and Melillo, J.M. (1985). Fine root production in relation to total net primary production along a nitrogen availability gradient in temperate forests: A new hypothesis. Ecology 66: 1377–1390.CrossRefGoogle Scholar
  23. Parton, W.J., Stewart, J.W.B., and Cole, C.V. (1988). Dynamics of C, N, P and S in grassland soils: a model. Biogeochem. 5: 109–132.CrossRefGoogle Scholar
  24. Pastor, J., Aber, J.D., McClaugherty, C.A., and Melillo, J.M. (1982). Geology, soils and vegetation of Blackhawk Island, Wisconsin. Amer. Midland Naturalist 108: 266–277.CrossRefGoogle Scholar
  25. Pastor, J., Aber, J.D., McClaugherty, C.A., and Melillo, J.M. (1984). Above-ground production and N and P cycling along a nitrogen mineralization gradient on Blackhawk Island, Wisconsin. Ecology 65: 256–268.CrossRefGoogle Scholar
  26. Pastor, J., and Post, W.M. (1986). Influence of climate, soil moisture and succession on forest carbon and nitrogen cycles. Biogeochem. 2: 3–28.CrossRefGoogle Scholar
  27. Peterson, D.L., Aber, J.D., Matson, P.A., Card, D.H., Swanberg, N., Wessman, C, and Spanner, M. (1988). Remote sensing of forest canopy and leaf biochemical contents. Remote Sens. Envir. 24: 85–108.CrossRefGoogle Scholar
  28. Rock, B.N., Vogelmann, J.E., Williams, D.L., Vogelmann, A.F., and Hoshizaki, T. (1986). Remote detection of forest damage. BioScience 36: 439–445.CrossRefGoogle Scholar
  29. Running, S.W., Peterson, D.L., Spanner, M.A., and Teuber, K.B. (1986). Remote sensing of coniferous forest leaf area. Ecology 67: 273–276.CrossRefGoogle Scholar
  30. Ryan, D.F., and Bormann, F.H. (1982). Nutrient resorption in northern hardwood forests. BioScience 32: 29–32.CrossRefGoogle Scholar
  31. Safford, L.O., Young, H.E., and Knight, T.W. (1977). Effect of soil and urea fertilization on foliar nutrients and basal area growth of red spruce. Univ. Maine Life Sci. Agric. Exp. Sta. Tech. Bull. 740.Google Scholar
  32. Schnitzer, M. (1978). Humic substances: Chemistry and reactions, pp. 1–64. In M. Schnitzer and S.U. Khan (eds.). Soil Organic Matter. Elsevier, Oxford, England.CrossRefGoogle Scholar
  33. Spanner, M.A., Peterson, D.L., Hall, M.H., Wrigley, R.C. Card, D.H., and Running, S.W. (1984). Atmospheric effects on the remote sensing estimation of forest leaf area index, pp. 1295–1308. In Proc. Eighth International Symposium on Remote sensing of Environment. Univ. of Michigan, Ann Arbor.Google Scholar
  34. Spycher, G., Sollins, P., and Rose, S.L. (1983). Carbon and nitrogen in the light fraction of a forest soil: Vertical distribution and seasonal patterns. Soil Sci. 135: 79–87.CrossRefGoogle Scholar
  35. Stevenson, F.J. (1985). Geochemistry of soil humic substances. In D.M. McKnight (ed.), Humic Substances in Soil, Sediment and Water: Geochemistry, Isolation and Characterization. Wiley, NY.Google Scholar
  36. Tucker, C.J., Townshend, J.R.G., and Goff, T.E. (1985). African land-cover classification using satellite data. Science 227: 369–375.PubMedCrossRefGoogle Scholar
  37. Turner, J. (1977). Effects of nitrogen availability on nitrogen cycling in a Douglas-fir stand. Forest Sci. 23: 307–316.Google Scholar
  38. Vitousek, P.M. (1982). Nutrient cycling and nutrient use efficiency. Amer. Naturalist 119: 553–572.CrossRefGoogle Scholar
  39. Weetman, G.F., and Fournier, R.M. (1984). Ten-year growth and nutrition effects of a straw treatment and of repeated fertilization on jack pine. Canad. J. Forest Res. 14: 416–423.CrossRefGoogle Scholar
  40. Wessman, C.A, Aber, J.D., and Peterson, D.L. (1987). Estimation of forest canopy characteristics and nitrogen cycling using imaging spectrometery. pp. 114–18. In G. Vane (ed.), Imaging Spectroscopy II, Proceedings of the International Society for Optical Engineering, Vol. 834. San Diego, CA.Google Scholar
  41. Wessman, C.A., Aber, J.D., Peterson, D.L., and Melillo, J.M. (1988a). Foliar analysis using near infrared spectroscopy. Canad. J. Forest Res. 18: 6–11.CrossRefGoogle Scholar
  42. Wessman, C.A., Aber, J.D., Peterson, D.L., and Melillo, J.M. (1988b). Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems. Nature 335:154–156.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag New York Inc. 1990

Authors and Affiliations

  • John D. Aber
  • Carol A. Wessman
  • David L. Peterson
  • Jerry M. Melillo
  • James H. Fownes

There are no affiliations available

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