Scaling Up Physiological Responses of Loblolly Pine to Ambient Ozone Exposure Under Natural Weather Variations

  • Robert J. Luxmoore
  • Scott M. Pearson
  • Lynn M. Tharp
  • Samuel B. McLaughlin
Part of the Ecological Studies book series (ECOLSTUD, volume 128)


The challenge of scaling up (i.e., of incorporating such small-scale information as leaf physiology into larger-scale processes of the canopy, stand, or ecosystem) has been the subject of considerable discussion in recent years (e.g., Ehleringer and Field, 1993; King 1993; Luxmoore et al., 1991; Rastetter et al., 1991; Reynolds et al., 1992). Two particular concerns in scaling up from physiological to landscape scales are 1) accounting for relevant processes that express the behavior of the soil-plant-atmosphere system at particular scales, and 2) the integration and transfer of relevant information from one scale to the next. One approach for scaling up involves simulation with models of differing scales and the transfer of information from the smaller-scale to larger-scale simulators. This linked modeling approach addresses scaling concerns by 1) explicitly modeling processes at the scale of their operation using available mechanistic understanding and appropriate data, and 2) by explicitly transferring integrated information from one scale to the next through a hierarchy of linked models.


Ozone Concentration Site Index Latin Hypercube Sampling Ozone Exposure Ambient Ozone 
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  1. Burkhart HE (1987) Data collection and modeling approaches for forest growth and yield prediction. In Chappell HN, Maguire DA (Eds) Predicting forest growth and yield: Current issues, future prospects. Contribution 58. Inst For Res, Univ WA, Seattle.Google Scholar
  2. Burkhart HE, Cloeren DC, Amateis RL (1985) Yield relationships in unthinned loblolly pine plantations on cutover, site-prepared lands. South J Appl For 9:84–91.Google Scholar
  3. Burkhart HE, Farrar KD, Amateis RL, Daniels RF (1987) Simulation of individual tree growth and stand development in loblolly pine plantations on cutover, site-prepared areas. FWS-1–87. VA Poly Inst State Univ, Sch For Wildlife Resour, Blacksburg.Google Scholar
  4. Ehleringer J, Field C (Eds) (1993) Scaling physiological processes: Leaf to globe. Academic Press, San Diego.Google Scholar
  5. Fowells HA (1965) Silvics of forest trees of the United States. Agr Handbook No. 271. US Dep Agr, Washington, DC.Google Scholar
  6. Gardner RH, Röjder B, Berström U (1983) PRISM: A systematic method for determining the effect of parameter uncertainties on model predictions. Studsvik Energiteknik AB Report NW-83–555. Nykoping, Sweden.Google Scholar
  7. Hanson PJ, Wullschleger SD, Samuelson LJ, Tabberer TA, Edwards GS (1994) Seasonal patterns of light-saturated photosynthesis and leaf conductance for mature and seedling Quercus rubra L. foliage: Differential sensitivity to ozone. Tree Physiol 14:1351–1366.PubMedGoogle Scholar
  8. Johnson JD, Byers DP, Dean TJ (1995) Diurnal water relations and gas exchange of two slash pine (Pinus elliottii Engelm.) families exposed to chronic ozone levels and acidic rain. New Phytol 131:381–392.CrossRefGoogle Scholar
  9. King AW (1993) Considerations of scale and hierarchy, p. 19–45. In Woodley S, Francis G, Key J (Eds) Ecological integrity and the management of ecosystems. Lewis Publishers Inc., Chelsea, MI.Google Scholar
  10. Laisk A, Kull O, Moldau H (1989) Ozone concentration in leaf intercellular air spaces is close to zero. Plant Physiol 90:1163–1167.PubMedCrossRefGoogle Scholar
  11. Luxmoore RJ (1983) Water budget of an eastern deciduous forest stand. Soil Sci Soc Am J 47:785–791.CrossRefGoogle Scholar
  12. Luxmoore RJ (1989) Modeling chemical transport uptake and effects in the soil-plant-litter system. In Johnson DW, Van Hook RI (Eds) Biogeochemical cycling processes in Walker Branch watershed. Springer-Verlag, New York.Google Scholar
  13. Luxmoore RJ (1991) A source-sink framework for coupling water, carbon, and nutrient dynamics of vegetation. Tree Physiol. 9:267–280.PubMedGoogle Scholar
  14. Luxmoore RJ (1992) An approach to scaling up physiological responses of forests to air pollutants. In Flagler R (Ed) The response of southern commercial forests to air pollution. Air & Waste Management Association, Pittsburgh, PA.Google Scholar
  15. Luxmoore RJ, King AW, Tharp ML (1991) Approaches to scaling up physiologically based soil-plant models in space and time. Tree Physiol 9:281–292.PubMedGoogle Scholar
  16. Luxmoore RJ, Tharp ML, West DC (1990) Simulating the physiological basis of tree ring responses to environmental changes. In Dixon RK, Meldahl RS, Ruark GA, Warren WG (Eds) Process modeling of forest growth responses to environmental stress. Timber Press, Inc., Portland, OR.Google Scholar
  17. McLaughlin SB, Downing DJ (1995) Interactive effects of ambient ozone and climate measured on growth of mature forest trees. Nature 374:252–254.CrossRefGoogle Scholar
  18. Rastetter EB, Ryan MG, Shaver GR, Melillo JM, Nadelhoffer KJ, Hobbie JE, Aber JD (1991) A general biogeochemical model describing the responses of the C and N cycles in terrestrial ecosystems to changes in CO2, climate, and N deposition. Tree Physiol 9:101–126.PubMedGoogle Scholar
  19. Reynolds JF, Hilbert DW, Chen J-I, Harley PC, Kemp PR, Leadley PW (1992) Modeling the response of plants and ecosystems to elevated CO2 and climate change. DOE/ ER-60490T-H1. Carbon Dioxide Research Program, USDE, Washington, DC.Google Scholar
  20. Richardson CJ, Sasek T, Di Giulio RT (1990) Use of physiological markers for assessing air pollution stress in trees. In Wang W, Gorsuch JW, Lower WR (Eds) Plants for toxicity assessment. ASTM STP 1091. American Society for Testing and Materials, Philadelphia, PA.Google Scholar
  21. Richardson CJ, Sasek T, Fendick EA, Kress LW (1992) Ozone exposure-response relationships for photosynthesis in genetic strains of loblolly pine seedlings. For Ecol Manage 51:163–173.CrossRefGoogle Scholar
  22. Sasek T, Richardson CJ (1989) Effects of chronic doses of ozone on loblolly pine: Photo-synthetic characteristics in the third growing season. For Sci 35:745–755.Google Scholar
  23. Sasek T, Richardson CJ (1992) The dose—response approach for characterizing the effects of near ambient ozone concentrations on photosynthesis. In Flagler R (Ed) The response of southern commercial forests to air pollution. Air and Waste Management Association, Pittsburgh, PA.Google Scholar
  24. Sharma ML, Luxmoore RJ (1979) Soil spatial variability and its consequences on simulated water balance. Water Resour Res 15:1567–1573.CrossRefGoogle Scholar
  25. Sheffield RM, Cost ND (1987) Behind the decline. J For 85:29–33.Google Scholar
  26. Shugart HH, West DC (1977) Development of an Appalachian deciduous forest succession model and its application to assessment of the impact of the chestnut blight. J Environ Manage 5:161–179.Google Scholar
  27. Stow TK, Allen HL, Kress LW (1992) Ozone impacts on seasonal foliage dynamics of young loblolly pine. For Sci 38:102–119.Google Scholar
  28. Zahner R, Saucier JR, Meyers RK (1990) Tree-ring model interprets growth decline in natural stands of loblolly pine in the southeastern United States. Can J For Res 19:612–621.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag New York, Inc. 1998

Authors and Affiliations

  • Robert J. Luxmoore
  • Scott M. Pearson
  • Lynn M. Tharp
  • Samuel B. McLaughlin

There are no affiliations available

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