Significance of rainfall distribution in predicting eucalypt plantation growth, management options, and risk assessment using the process-based model CABALA

Forest Ecology and Management

Volumn 193, Issue 1-2, 2004, Pages 283-296

  Mummery, Daryl ^a,b,c   Battaglia, Michael ^a,b  

^a Coop Res Ctr Sustainable Prod F ^*  (Australia)

^b CSIRO   (Australia)

^c UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Drought death; Eucalyptus globulus; Markov rainfall model; Process based model; Rainfall representation

Indexed keywords

CLIMATE CHANGE; MATHEMATICAL MODELS; RAIN; SOILS;

PREDICTIVE MODELS; RAINFALL DISTRIBUTION;

FORESTRY;

FOREST MANAGEMENT; GROWTH MODELING; PLANTATION; RAINFALL; RISK ASSESSMENT; SITE SELECTION;

CLIMATES; EUCALYPTUS; FORESTRY; MATHEMATICAL MODELS; RAIN; SOIL;

EUCALYPTUS; EUCALYPTUS GLOBULUS;

EID: 2342650270     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2004.01.034     Document Type: Article

References (41)

1. ABARE, 2002. Australian Forest and Wood Products Statistics, March and June quarters, Australian Bureau of Agricultural and Resource Economics, Canberra.
2. Australian Bureau of Meteorology, 2003. http://www.bom.gov.au/climate/ map/variability/VARDEC.GIF.
3. Ball, J.T., Woodrow, I.E., Berry, J.A., 1987. A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions. In: Biggens, J. (Ed.), Progress in Photosynthesis Research, vol. IV. Martinus Nijhoff, Dordrecht, pp. 221-224.
4. Battaglia M., Sands P.J. Modelling site productivity of Eucalyptus globulus in response to climate and site factors. Aust. J. Plant Physiol. 24:1997;831-850
5. Battaglia, M., Sands, P.J., White, D., Mummery D., this volume. CABALA: a linked carbon, water and nitrogen model of forest growth for silvicultural decision support. For. Ecol. Manage.
6. Bruhn J.A., Fry W.E., Fick G.W. Simulation of daily weather data using theoretical probability distributions. J. Appl. Met. 19:1980;1029-1036
7. Buishand T.A. Some remarks on the use of daily rainfall models. J. Hydrol. 36:1978;295-308
8. Burns, K., Walker, D., Hansard, A., 1999. Plantations: Australia's position in the emerging global sector. ABARE, 1999, Australian Forest Products Statistics, December quarter 1998, Australian Bureau of Agricultural and Resource Economics, Canberra.
9. Chapman T.G. Stochastic models for daily rainfall in the Western Pacific. Math. Comput. Simul. 43:1997;351-358
10. Chen J., Reynolds J.F. A coordination model of whole-plant carbon allocation in relation to water-stress. Ann. Bot. 80:1997;45-55
11. Chin E.H. Modelling daily precipitation occurrence process with Markov chain. Water Resour. Res. 13:1977;949-956
12. Coe R., Stern R.D. Fitting models to daily rainfall data. J. Appl. Meteorol. 21:1982;1024-1031
13. Donnelly J.R., Freer M., Moore A.D. Using the GrassGro decision support tool to evaluate some objective criteria for the definition of exceptional drought. Agric. Syst. 57:1998;301-313
14. Gates P., Tong H. On Markov chain modelling to some weather data. J. Appl. Meteorol. 15:1976;1145-1151
15. Goodwin, D.C., Jones, C.A., 1991. Nitrogen dynamics in soil-plant systems. In: Hanks, J., Ritchie, J.T. (Eds.), Modelling Plant and Soil Systems. American Society of Agronomy, Inc., Madison, WI, USA, pp. 287-321.
16. Grant A.P., Walsh K.J.E. Interdecadal variability in north-east Australian tropical cyclone formation. Atmos. Sci. Lett. 2:2001;9-17
17. Hutchinson, M.F., 1986. Methods of generation of weather sequences. In: Bunting, A.H. (Ed.), Agricultural Environments. Proceedings of the Rome Workshop on Agro-ecological Characterisation, Classification and Mapping, April 1986, pp. 14-18.
18. Irish, J.L., 1994. It looks like a gamma distribution to me: the distribution of daily rainfall amounts. In: National Conference Publication, vol. 3. Institution of Engineers, Australia, pp. 19-25.
19. Jovanovic T., Arnold R., Booth T. Determining the climatic suitability of Eucalyptus dunnii for plantations in Australia. New For. 19:2000;215-226
20. Katz R.W. Computing probabilities associated with the Markov chain model for precipitation. J. Appl. Met. 13:1974;953-954
21. Landsberg J.J., Waring R.H. A generalised model of forest productivity using simplified concepts of radiation-use efficiency. For. Ecol. Manage. 95:1997;209-228
22. McMahon, J.P., Hutchinson, M.F., Nix, H.A., Houlder, D.J., 1997. ANUCLIM User Guide. Centre for Resource and Environmental Studies, The Australian National University, Canberra.
23. Mummery D., Battaglia M. Environmental sensitivity analysis as a method of screening for prospective plantation sites: a case study with Eucalyptus globulus in Tasmania. For. Ecol. Manage. 140:2001;51-63
24. Nix, H.A., Stein, J.A., Stein, J.L., 1992. Developing an environmental geographic information system for Tasmania: an application to assessing the potential for hardwood plantation forestry. Consultants Report. Department of Primary Industry and Energy, Canberra.
25. Rackso P., Szeidl L., Semenov L. A serial approach to local stochastic weather modelling. Ecol. Model. 57:1991;27-41
26. Richardson C.W. Stochastic simulation of daily precipitation, temperature, and solar radiation. Water Resour. Res. 17:1981;182-190
27. Richardson, C.W., Wright, D.A., 1984. WGEN: A Model for Generating Daily Weather to Variables USDA-ARS. US Government Printing Office, Washington, DC.
28. Ryan P.J., Harper R.J., Laffan M., Booth T.H., McKenzie N.J. Site assessment for farm forestry in Australia and its relationship to scale. For. Ecol. Manage. 171:2002;133-152
29. Sands P.J. Modelling canopy production. II. From single-leaf photosynthetic parameters to daily canopy photosynthesis. Aust. J. Plant Physiol. 22:1995;603-614
30. Semenov M.A., Porter J.R. Climatic variability and modelling of crop yields. Agric. For. Met. 73:1995;265-283
31. Sharma A., Lall U. A nonparametric approach for daily rainfall simulation. Math. Comput. Simul. 48:1999;361-371
32. Shinozaki K., Yoda K., Hozumi K., Kira T. A quantitative analysis of plant form - the pipe model theory. I. basic analyses. Jpn. J. Ecol. 14:1964;97-105
33. Shinozaki K., Yoda K., Hozumi K., Kira T. A quantitative analysis of plant form - the pipe model theory. II. further evidence of the theory and its application in forest ecology. Jpn. J. Ecol. 14:1964;133-139
34. Sperry J.S., Pockman W.T. Limitation of transpiration by hydraulic conductance and xylem cavitation in Betula occidentalis. Plant Cell Environ. 16:1993;279-287
35. Stone R.C., Hammer G.L., Marcussen T. Prediction of global rainfall probabilities using phases of the Southern oscillation index. Nature. 384:1996;252-255
36. van den Berg M., Driessen P.M., Rabbinge R. Water uptake in crop growth models for land use systems analysis. II. Comparison of three simple approaches. Ecol. Model. 148:2002;233-250
37. West P.W., Wells K.F., Cameron D.M., Rance S.J., Turnbull C.R.A., Beadle C.L. Prediction of tree diameter and height from above-ground biomass in four eucalypt species. Trees. 5:1991;30-35
38. White D.A., Beadle C.L., Sands P.J., Worledge D., Honeysett J.L. Quantifying the effect of cumulative water-stress on stomatal conductance of Eucalyptus globulus and E. nitens: a phenomenological approach. Aust. J. Plant Physiol. 26:1999;17-27
39. White D.A., Beadle C.L., Worledge D. Control of transpiration in an irrigated E. globulus Labill plantation. Plant Cell Environ. 23:2000;123-134
40. Wilks D.S. Interannual variability and extreme-value characteristics of several stochastic daily precipitation models. Agric. For. Met. 93:1999;153-169
41. Woolhiser D.A., Roldan J. Stochastic daily precipitation models. 2. A comparison of distributions of amounts. Water Resour. Res. 18:1982;1461-1468