A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning

Forest Ecology and Management

Volumn 95, Issue 3, 1997, Pages 209-228

  Landsberg, J J ^a   Waring, R H ^b  

^a CSIRO   (Australia)

^b OREGON STATE UNIVERSITY   (United States)

Author keywords

Carbon balance; Forest model; Partitioning; Physiological processes; Weather

Indexed keywords

CARBON BALANCE; FOREST PRODUCTIVITY; MODELLING; PARTITIONING; RADIATION-USE EFFICIENCY;

VICTORIA;

EID: 0030767089     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-1127(97)00026-1     Document Type: Article

References (77)

1. Aber, J.D., Federer, C. A., 1992. A generalized, lumped-parameter model of photosynthesis, evapotranspiration and net primary production in temperate and boreal forest ecosystems. Oecologia 92, 463-474.
2. Ågren, G.I., 1983. Nitrogen productivity of some conifers. Can. J. For. Res. 13, 494-500.
3. Ågren, G.I., Ingestad, T., 1987. Root/shoot activity ratios as a balance between nitrogen productivity and photosynthesis. Plant, Cell Environ. 10, 579-586.
4. Beets, P.N., Madgwick, H.A.I., 1988. Above-ground dry matter and nutrient content of Pinus radiata as affected by lupins, fertiliser, thinning and stand age. N.Z. J. For. 18, 43-64.
5. Beets, P.N., Whitehead, D., 1996. Carbon partitioning in Pinus radiata in relation to foliage nitrogen status. Tree Physiol. 16, 131-138.
6. Benecke, U., Evans, G., 1987. Growth and water use in Nothofagus truncata (Head beech) in temperate hill country, Nelson, New Zealand. In: Hanxi, Y., Jeffers, J.N.R., Ward, P.A. (eds.), The Temperate Forest Ecosystem. Symp. 20. Institute of Terrestrial Ecology, Grange-over-Sands, UK, pp. 131-140.
7. Cannell, M.G.R., Dewar, R.C., 1994. Carbon allocation in trees: a review of concepts for modelling. Adv. Ecol. Res. 25, 60-140.
8. 2 enrichment: equilibrium behavior of plant-soil models. Ecol. Appl. 3, 666-681.
9. Coops, N.C., Waring, R.H., Landsberg, J.J., 1997. Assessing forest productivity in Australia and New Zealand using a physiologically-based model driven with averaged monthly weather data and satellite-derived estimates of canopy photosynthetic capacity. For. Ecol. Manage. (submitted).
10. Denmead, O.T., Shaw, R.H., 1961. Availability of soil water to plants as affected by soil moisture content and meteorological conditions. Agron. J. 54, 385-390.
11. Drew, T.J., Flewelling, J.W., 1977. Some recent Japanese theories of yield-density relationships and their applications to Monterey pine plantations. For. Sci. 23, 517-534.
12. Dunin, F.X., McIlroy, I.C., O'Loughlin, E.M., 1985. A lysimeter characterization of evaporation by Eucalypt and its representativeness for the local environment. In: Hutchinson, B.A., Hicks, B.B. (eds.), The Forest-Atmosphere Interaction. Reidel, Dordrecht, pp. 271-291.
13. Dye, P.J., Olbrich, B.W., 1993. Estimating transpiration from 6-year-old Eucalyptus grandis trees: development of a canopy conductance model and comparison with independent sap flux measurements. Plant, Cell Environ. 16, 45-53.
14. Gholz, H.L., Grier, C.C., Campbell, A.G., Brown, A.T., 1979. Equations for estimating biomass and leaf area of plants in the Pacific Northwest. Res. Pap. 41, Forestry Research Laboratory, Oregon State University, School of Forestry, Corvallis, 38 pp.
15. Goulden, M.L., Munger, J.W., Fan, S.-M., Daube, B.C., Wofsy, S.C., 1996. Measurements of carbon sequestration by long-term eddy covariance: methods and a critical evaluation of accuracy. Global Change Biol. 2, 169-182.
16. Goward, S.N., Waring, R.H., Dye, D.G., Yang, J., 1994. Ecological remote sensing at OTTER: satellite macroscale observations. Ecol. Appl. 4, 322-343.
17. Gower, S.T., Gholz, H.L., Nakane, K., Baldwin, V.C., 1994. Production and carbon allocation patterns of pine forests. Ecol. Bull. 43, 115-135.
18. Gower, S.T., McMurtrie, R.E., Murty, D., 1996. Aboveground net primary production decline with stand age: potential causes. Trends Ecol. Evol., 11, 378-382.
19. Grace, J., Lloyd, J., McIntyre, J., Miranda, A., Meir, P., Miranda, H., Moncrieff, J., Massheder, J., Wright, I., Gash, J., 1996. Fluxes of carbon dioxide and water vapour over an undisturbed tropical forest in south-west Amazonia. Global Change Biol. 1, 1-12.
20. Granier, A., Biron, P., Bréa, N., Pontailler, J.-Y., Saugier, B., 1996. Transpiration of trees and forest stands: short and long-term monitoring using sapflow methods. Global Change Biol. 2, 265-274.
21. Johnson, D.W., Linberg, S.E. (eds.), 1992. Atmospheric Deposition and Forest Nutrient Cycling. Springer, New York, 707 pp.
22. Kelliher, F.M., Leuning, R., Schulze, E.-D., 1993. Evaporation and canopy characteristics of coniferous forest and grassland. Oecologia 95, 153-163.
23. Kelliher, F.M., Leuning, R., Raupach, M.R., Schulze, E.-D., 1995. Maximum conductances for evaporation from global vegetation types. Agric. For. Meteorol. 73, 1-16.
24. Kingston, R.S.T., Risdon, C.J.E., 1961. Shrinkage and density of Australian and other south-west Pacific woods. Div. For. Prod. Tech. Pap. 13, CSIRO, Melbourne, Australia, 65 pp.
25. Körner, C., 1993. Leaf diffusive conductances in the major vegetation types of the globe. In: Schulze, E.-D., Caldwell, M.M. (eds.), Ecophysiology of Photosynthesis. Ecological Studies, Vol. 100. Springer, Berlin, pp. 463-490.
26. Kuuluvaineen, T., 1991. Long-term development of needle mass, radiation interception and stemwood production in naturally regenerated Pinus sylvestris stands on Empetrum-Vaccinium site type in the northern boreal zone in Finland: an analysis based on an empirical study and simulation. For. Ecol. Manage. 46, 103-122.
27. Landsberg, J.J., 1986. Physiological Ecology of Forest Production. Academic Press, Sydney, 198 pp.
28. Landsberg, J.J., Gower, S.T., 1997. Applications of Physiological Ecology to Forest Management. Academic Press, San Diego, CA, 354 pp.
29. Landsberg, J.J., Hingston, F.J., 1996. Evaluating a simple radiation/dry matter conversion model using data from Eucalyptus globulus plantations in Western Australia. Tree Physiol. 16, 801-808.
30. Landsberg, J.J., Prince, S.D., Jarvis, P.G., McMurtrie, R.E., Luxmoore, R., Medlyn, B.E., 1996. Energy conversion and use in forests: an analysis of forest production in terms of radiation utilisation efficiency. In: Gholz, H.L., Nakane, K., Shimoda, H. (eds.), The Use of Remote Sensing in the Modeling of Forest Productivity, Kluwer Academic, Dordrecht, Netherlands, pp. 273-298.
31. 3 plants. Plant, Cell Environ. 18, 339-355.
32. Linder, S., Benson, M.L., Myers, B.J., Raison, R.J., 1987. Canopy dynamics and growth of Pinus radiata. I. Effects of irrigation and fertilization during a drought. Can. J. For. Res. 17, 1157-1165.
33. McMurtrie, R.E., 1985. Forest productivity in relation to carbon partitioning and nutrient cycling: a mathematical model. In: Cannell, M.G.R., Jackson, J.E. (eds.), Trees as Crop Plants. Institute of Terrestrial Ecology, Natural Environment Research Council, UK, pp. 194-207.
34. McMurtrie, R.E., Landsberg, J.J., 1992. Using a simulation model to evaluate the effects of water and nutrients on the growth and carbon partitioning of Pinus radiata. For. Ecol. Manage. 52, 243-260.
35. McMurtrie, R.E., Wolf, L., 1983. Above-and below-ground growth of forest stands: a carbon budget model. Ann. Bot. 52, 437-448.
36. 2. Aust. J. Bot. 40, 657-77.
37. McMurtrie, R.E., Gholz, H.L., Linder, S., Gower, S.T., 1994. Climatic factors controlling the productivity of pine stands: a model-based analysis. Ecol. Bull. 43, 173-188.
38. Mencuccini, M., Grace, J., 1996. Hydraulic conductance, light interception and needle nutrient concentration in Scots pine stands and their relation with net primary productivity. Tree Physiol. 16, 459-468.
39. Monteith, J.L., 1977. Climate and the efficiency of crop production in Britain. Phil. Trans. R. Soc., Ser. B 281, 277-294.
40. Murty, D., McMurtrie, R.E., Ryan, M.G., 1996. Declining forest productivity in ageing forest stands: a modelling analysis of alternative hypotheses. Tree Physiol. 16, 187-200.
41. Pastor, J., Bockheim, J.G., 1981. Biomass and production of an aspen-mixed hardwood-spodosol ecosystem in northern Wisconsin. Can. J. For. Res. 11, 132-138.
42. Pastor, J., Aber, J.D., Melillo, J.M., 1984. Biomass prediction using generalized allometric regressions for some northeast tree species. For. Ecol. Manage. 7, 265-274.
43. Pearson, J.A., Fahey, T.J., Knight, D.H., 1984. Biomass and leaf area in contrasting lodgepole pine forests. Can. J. For. Res. 14, 259-265.
44. Pierce, L.L., Running, S.W., Walker, J., 1994. Regional scale relationships of leaf area index to specific leaf area and leaf nitrogen content. Ecol. Appl. 4, 313-321.
45. Pook, E.W., 1986. Canopy dynamics of Eucalyptus maculata Hook. IV. Contrasting responses to two severe droughts. Aust. J. Bot. 34, 1-14.
46. Prince, S.D., Goward, S.N., 1995. Global primary production: a remote sensing approach. J. Biogeogr. 22, 815-835.
47. Running, S.W., Coughlan, J.C., 1988. A general model of forest ecosystem processes for regional applications. I. Hydrologic balance, canopy gas exchange and primary production processes. Ecol. Modelling 42, 125-154.
48. Running, S.W., Gower, S.T., 1991. FOREST-BGC, a general model of forest ecosystem processes for regional applications. II. Dynamic carbon allocation and nitrogen budgets. Tree Physiol. 9, 147-160.
49. Running, S.W., Hunt, E.R., 1993. Generalization of a forest ecosystem process model for other biomes, BIOME-BGC, and an application for global scale models. In: Ehleringer, J.R., Field, C.B. (eds.), Scaling Physiological Processes: Leaf to Globe. Academic Press, San Diego, pp. 141-158.
50. Running, S.W., Nemani, R.R., Peterson, D.L., Band, L.E., Potts, D.F., Pierce, L.L., Spanner, M.A., 1989. Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation. Ecology 70, 1090-1101.
51. Runyon, J., Waring, R.H., Goward, S.N., Welles, J.M., 1994. Environmental limits on net primary production and light-use efficiency across the Oregon transect. Ecol. Appl. 4, 226-237.
52. Ryan, M.G., 1991. A simple method for estimating gross carbon budgets for vegetation in forest ecosystems. Tree Physiol. 9, 255-266.
53. Ryan, M.G., Gower, S.T., Hubbard, R.M., Waring, R.H., Gholz, H.L., Cropper Jr., W.P., Running, S.W., 1995. Woody tissue maintenance respiration of four conifers in contrasting climates. Oecologia 101, 133-140.
54. Ryan, M.G., Yoder, B.J., 1997. Hydraulic limits to tree height and tree growth. BioScience, 47, 235-242.
55. Ryan, M.G., Hubbard, R.M., Pongracic, S., Raison, R.J., McMurtrie, R.E., 1996a. Foliage, fine-root, woody-tissue and stand respiration in Pinus radiata in relation to nitrogen status. Tree Physiol. 16, 333-343.
56. Ryan, M.G., Binkley, D., Fownes, J.H., 1996b. Age-related decline in forest productivity: pattern and process. Adv. Ecol. Res., 27, 213-262.
57. Santantonio, D., 1989. Dry-matter partitioning and fine-root production in forests - new approaches to a difficult problem. In: Pereira, J.S., Landsberg, J.J. (eds.), Biomass Production by Fast-Growing Trees. Kluwer Academic, Dordrecht, Netherlands, pp. 57-72.
58. Schulze, E.-D., Fuchs, M.I., Fuchs, M., 1977. Spatial distribution of photosynthetic capacity and performance in a mountain spruce forest of northern Germany. Oecologia 29, 4361.
59. Snowdon, P., Benson, M.L., 1992. Effects of combinations of irrigation and fertilisation on the growth and above-ground biomass production of Pinus radiata. For. Ecol. Manage. 52, 87-116.
60. Specht, R.L., Specht, A., 1989. Canopy structure in Eucalyptus-dominated communities in Australia along climatic gradients. Acta Oecol. 10, 191-213.
61. Thornley, J.H.M., 1972a. A model to describe the partitioning of photosynthate during vegetative plant growth. Ann. Bot. 36, 419-430.
62. Thornley, J.H.M., 1972b. A balanced quantitative model for root:shoot ratios in vegetative plants. Ann. Bot. 36, 431-441.
63. Tyree, M.T., Sperry, J.S., 1988. Do woody plants operate near the point of catastrophic xylem disfunction caused by dynamic water stress? Plant Physiol. 88, 574-580.
64. Wang, Y.-P., McMurtrie, R.E., Landsberg, J.J., 1992. Modelling canopy photosynthetic productivity. In: Baker, N.R., Thomas, H. (eds.), Crop Photosynthesis: Spatial and Temporal Determinants. Elsevier, New York, pp. 43-67.
65. Waring, R.H., 1983. Estimating forest growth and efficiency in relation to canopy leaf area. Adv. Ecol. Res. 13, 327-354.
66. Waring, R.H., Major, J., 1964. Some vegetation of the California coastal redwood region in relation to gradients of moisture, nutrients, light, and temperature. Ecol. Monogr. 34, 167-215.
67. Waring, R.H., Schlesinger, W.H., 1985. Forest Ecosystems: Concepts and Management. Academic Press, Orlando, FL, 340 pp.
68. Waring, R.H., Law, B.E., Goulden, M.L., Bassow, S.L., McCreight, R.W., Wofsy, S.C., Bazzaz, F.A., 1995. Scaling gross ecosystem production at Harvard Forest with remote sensing: a comparison of estimates from a constrained quantum-use efficiency model and eddy correlation. Plant, Cell Environ. 18, 1201-1213.
69. Weinstein, D.A., Beloin, R.M., Yanai, R.D., 1991. Modeling changes in red spruce carbon balance and allocation in response to interacting ozone and nutrient stresses. Tree Physiol. 9, 127-146.
70. West, P.W., Mattay, J.P., 1993. Yield prediction models and comparative growth rates for six eucalypt species. Aust. For. 56, 211-225.
71. White, J., 1981. The allometric interpretation of the self-thinning rule. J. Theor. Biol. 89, 475-500.
72. White, J.D., Running, S.W., 1994. Testing scale dependent assumptions in regional ecosystem simulations. J. Veg. Sci. 5, 687-702.
73. Williams, J., Prebble, R.E., Williams, W.T., Hignett, C.T., 1983. The influence of texture, structure and clay mineralogy on the soil moisture characteristic. Aust. J. Soil 21, 15-32.
74. Williams, M., Rastetter, E.B., Fernandes, D.N., Goulden, M.L., Shaver, G.R., 1997. Predicting gross primary productivity in terrestrial ecosystems. Ecol. Appl., in press.
75. 2 in a mid-latitude forest. Science 260, 1314-1317.
76. Yoder, B.J., Waring, R.H., 1994. The normalized difference vegetation index of small Douglas-fir canopies, with varying chlorophyll concentrations. Remote Sens. Environ. 49, 81-91.
77. Yoder, B.J., Ryan, M.G., Waring, R.H., Schoettle, A.W., Kaufmann, M.R., 1994. Evidence of reduced photosynthetic rates in old trees. For. Sci. 40, 513-427.