Searching for Specific Measures of Physiological Stress in Forest Ecosystems

  • Richard H. Waring


Subtle changes in climate, atmospheric chemistry, or management policies may eventually lead to shifts in ecosystem structure. Stresses may occur before shifts in structure are evident. Insights regarding the development of stress can be obtained by monitoring decreases in photosynthetic or growth efficiency. Where decreases in efficiency are noted, additional selective measures are suggested to confirm physiological limitations and to help distinguish stress induced by drought from pollution or management policies. Changes in carbon partitioning, nutrient balance, biochemical indices, and stable isotope composition help identify probable sources of stress. Confirmation requires experimentation and regional assessment across confirmed environmental gradients.


Isotopic Composition Forest Ecosystem Free Amino Acid Tree Ring Specific Leaf Area 
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  1. Aber, J.D., K.J. Nadelhoffer, P. Steudler, and J.M. Melillo. (1989). Nitrogen Saturation in northern forest ecosystems. BioScience 39:378–386.CrossRefGoogle Scholar
  2. Araki, M. (1971). The studies on specific leaf areas of forest trees: I. The effects of RLI, season, density and fertilization on the specific leaf area of larch (Larix leptolepis Gord.) leaves. J. Jpn. For. Soc. 53:359–367.Google Scholar
  3. Bondietti, E.A., C.F. Baes, III, and S.B. McLaughlin. (1989). The potential of trees to record aluminum mobilization and changes in alkaline earth availability. In: Biological Markers of Air-Pollution Stress and Damage in Forests. National Academy Press, Washington, D.C., pp. 281–292.Google Scholar
  4. Christiansen, E., R.H. Waring, and A.A. Berryman. (1987). Resistance of conifers to bark beetle attack: searching for general relationships. For. Ecol. Manage. 22: 89–106.CrossRefGoogle Scholar
  5. Contrufo, C. (1983). Xylem nitrogen as a possible diagnostic nitrogen test for loblolly pine. Can. J. For. Res. 13:355–357.CrossRefGoogle Scholar
  6. Cook, E.R., A.H. Johnson, and T.J. Biasing. (1987). Forest decline: modeling the effect of climate in tree rings. Tree Physiol. 3:27–40.PubMedGoogle Scholar
  7. Cooper, L.W. and M.J. DeNiro. (1989). Covariance of oxygen and hydrogen isotopic composition in plant water: species effects. Ecology 70:1619–1628.CrossRefGoogle Scholar
  8. DeLucia, E.H., W.H. Schlesinger, and W.D. Billings. (1988). Water relations and the maintenance of Sierran conifers on hydrothermally altered rock. Ecology 69: 303–311.CrossRefGoogle Scholar
  9. Edwards, T.W.D. and P. Fritz. (1986). Assessing meteoric water composition and relative humidity from 18O and 2H in wood cellulose: paleoclimatic implications for southern Ontario, Canada. Appl. Geochem. 1:715–723.CrossRefGoogle Scholar
  10. Francey, R.J. and G.D. Farquhar. (1982). An explanation of 13C/12C variation in tree rings. Nature (London) 297:28–31.CrossRefGoogle Scholar
  11. Goward, S.N. and D. Dye. (1987). Evaluating North American net primary productivity with satellite observations. Adv. Space Res. 7:165–174.CrossRefGoogle Scholar
  12. Graumlich, L.J., L.B. Brubaker, and C.C. Grier. (1989). Long-term trends in forest net primary productivity: Cascade Mountains, Washington. Ecology 70:405–410.CrossRefGoogle Scholar
  13. Grime, J.P. (1977). Evidence for the existence of three primary strategies in plants and its relevance to ecological and evolutionary theory. Am. Nat. 111:1169–1194.CrossRefGoogle Scholar
  14. Ingestad, T. (1979). Mineral nutrient requirements for Pinus silvestris and Picea abies seedlings. Physiol. Plant. 45:373–390.CrossRefGoogle Scholar
  15. Ingestad, T. (1987). New concepts on soil fertility and plant nutrition as illustrated by research on forest trees and stands. Geoderma 40:237–252.CrossRefGoogle Scholar
  16. Kira, T. and T. Shidei. (1967). Primary production and turnover of organic matter in different forest ecosystems of the western Pacific. Jpn. J. Ecol. 10:70–87.Google Scholar
  17. Landsberg, J.J. and L.L. Wright. (1989). Comparisons among Populus clones and intensive culture conditions, using an energy-conversion model. For. Ecol. Manage. 27:129–147.CrossRefGoogle Scholar
  18. Lang, A.R.G. (1987). Simplified estimate of leaf area index from transmittance of the sun’s beam. Agric. For. Meteorol. 41:179–186.CrossRefGoogle Scholar
  19. Mason, H.L. and J.H. Langenheim. (1957). Language analysis and the concept of environment. Ecology 38:325–339.CrossRefGoogle Scholar
  20. McLaughlin, S.B., R.K. McConathy, D. Duvick, and K.L. Mann (1982). Effects of chronic air-pollution stress on photosynthesis, carbon allocation, and growth of white pine. For. Sci. 28:60–70.Google Scholar
  21. Monteith, J.L. (1977). Climate and efficiency of crop production in Britain. Philos. Trans. R. Soc. Lond. B 281:277–294.CrossRefGoogle Scholar
  22. Mould, E.D. and C.T. Robbins. (1981). Nitrogen metabolism in elk. J. Wildlife Manage. 45:323–334.CrossRefGoogle Scholar
  23. Myers, B.J. (1988). Water stress integral —a link between short-term stress and long-term growth. Tree Physiol. 4:315–324.PubMedGoogle Scholar
  24. Nordgren, A., E. Baath, and B. Soderstrom. (1988). Evaluation of soil respiration characteristics to assess heavy metal effects on soil microorganisms using glutamic acid as a substrate. Soil Biol. Biochem. 20:949–954.CrossRefGoogle Scholar
  25. Nygren, M. and S. Kellomaki. (1983). Effect of shading on leaf structure and photosynthesis in young birch, Betula pendula Roth, and B. pubescens Ehrn. For. Ecol. Manage. 7:119–132.CrossRefGoogle Scholar
  26. Odum, E.P. (1969). The strategy of ecosystem development. Science 164:262–270.PubMedCrossRefGoogle Scholar
  27. Oren, R., E.-D. Schulze, K.S. Werk, J. Meyer, B.U. Schneider, and H. Heilmeier. (1988). Performance of two Picea abies (L.) Karst, stands at different stages of decline. I. Carbon relations and stand growth. Oecologia 75:25–37.CrossRefGoogle Scholar
  28. Osonubi, O., R. Oren, K.S. Werk, E.-D. Schulze, and H. Heilmeier (1988). Performance of two Picea abies (L.) Karst, stands at different stages of decline. IV. Xylem sap concentrations of magnesium, calcium, potassium and nitrogen. Oecologia 77:1–6.CrossRefGoogle Scholar
  29. Peterson, B.J. and B. Fry. (1987). Stable isotopes in ecosystem studies. Annu. Rev. Ecol. Syst. 18:293–320.CrossRefGoogle Scholar
  30. Rose, C. (1990). Application of the Carbon/Nutrient Balance Hypothesis to Predicting the Nutritional Quality of Blueberry Foliage to Deer in Southeastern Alaska. Ph.D. Dissertation, Oregon State University, Corvallis, Oregon.Google Scholar
  31. Rundel, P.W., J.R. Ehleringer, and K.A. Nagy, eds. (1989). Stable Isotopes in Ecological Research. Ecological Series 68, Springer-Ver lag, New York.Google Scholar
  32. Schimel, D. (1988). Calculation of microbial growth efficiency from 15N immobilization. Biogeochemistry 6:239–243.CrossRefGoogle Scholar
  33. Sternberg, L.L. and P.K. Swart. (1987). Utilization of fresh water and ocean water by coastal plants of southern Florida. Ecology 68:1898–1905.CrossRefGoogle Scholar
  34. Sternberg, L.S.L., S.S. Mulkey, and S.J. Wright. (1989). Ecological interpretation of leaf carbon ratios: influence of respired carbon dioxide. Ecology 70:1317–1324.CrossRefGoogle Scholar
  35. Sucoff, E. (1972). Water potential in red pine: soil moisture, evapotranspiration, crown position. Ecology 53:681–686.CrossRefGoogle Scholar
  36. Tucker, C.J. (1977). Spectral estimation of grass canopy variables. Remote Sens. Environ. 6:11–26.CrossRefGoogle Scholar
  37. Turner, J. and M.J. Lambert. (1986). Nutrition and nutritional relationships of Pinus radiata. Annu. Rev. Ecol. Syst. 17:325–350.CrossRefGoogle Scholar
  38. Vessey, J.K. and D.B. Layzell. (1987). Regulation of assimilate and partitioning in soybean. Plant Physiol. 83:341–348.PubMedCrossRefGoogle Scholar
  39. Waring, R.H. (1983). Estimating forest growth and efficiency in relation to canopy leaf area. Adv. Ecol. Res. 13:327–354.CrossRefGoogle Scholar
  40. Waring, R.H. (1985). Imbalanced ecosystems: assessments and consequences. Forest Ecol. Manage. 12:93–112.CrossRefGoogle Scholar
  41. Waring, R.H. (1987). Characteristics of trees predisposed to die. BioScience 37: 569–574.CrossRefGoogle Scholar
  42. Waring, R.H. and W.H. Schlesinger. (1985). Forest Ecosystems: Concepts and Management. Academic Press, Orlando, Florida.Google Scholar
  43. White, J.W.C., E.R. Cook, J.R. Lawrence, and W.S. Broecker. (1985). The D/H ratios of sap in trees: implications for water sources and tree ring D/H ratios. Geochim. Cosmochim. Acta 49:237–249.CrossRefGoogle Scholar
  44. Whittaker, R.H. (1970). Communities and Ecosystems, 1st Ed. Macmillan, New York.Google Scholar
  45. Winner, W.E., J.D. Bewley, H.R. Krouse, and H.M. Brown (1978). Stable sulfur isotope analysis of SO2 pollution impact on vegetation. Oecologia 36:351–361.CrossRefGoogle Scholar
  46. Winner, W.E. and H.A. Mooney. (1985). Ecology of SO2 resistance. V. Effect of volcanic SO2 on native Hawaiian plants. Oecologia 66:387–393.CrossRefGoogle Scholar
  47. Worbes, M. and W.J. Junk. (1989). Dating tropical trees by means of 14C from bomb tests. Ecology 70:503–511.CrossRefGoogle Scholar
  48. Yapp, C.J. and S. Epstein. (1982). Climatic significance of the hydrogen isotope ratios in tree cellulose. Science 297:636–639.Google Scholar
  49. Zedler, B., R. Plarre, and G.M. Rothe. (1986). Impact of atmospheric pollution on the protein and amino acid metabolism of spruce Picea abies trees. Environ. Pollut. 40:193–212.CrossRefGoogle Scholar
  50. Zimmermann, R., R. Oren, E.-D. Schulze, and K.S. Werk. (1988). Performance of two Picea abies (L.) Karst, stands at different stages of decline. II. Photosynthesis and leaf conductance. Oecologia 76:513–518.Google Scholar

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© Springer-Verlag New York, Inc. 1991

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  • Richard H. Waring

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