Use of a process-based model to describe spatial variation in Pinus radiata productivity in new zealand

Forest Ecology and Management

Volumn 262, Issue 6, 2011, Pages 1008-1019

  Kirschbaum, Miko U F ^a   Watt, Michael S ^b  

^a LANDCARE RESEARCH   (New Zealand)

^b SCION   (New Zealand)

Author keywords

CenW; Environment; Fertility; Forestry; Precipitation; Temperature

Indexed keywords

AIR TEMPERATURE; ANNUAL PRECIPITATION; AS-SOILS; BASAL AREA; CENW; DATA SETS; EASTERN AREA; ENVIRONMENT; ENVIRONMENTAL CONDITIONS; FERTILITY; INPUT PARAMETER; MEAN ANNUAL AIR TEMPERATURES; MODEL EFFICIENCY; NEW ZEALAND; OBSERVED DATA; PERMANENT SAMPLE PLOTS; PINUS RADIATA; PLANT PARAMETERS; PROCESS-BASED MODELS; RADIATA; ROBUST ESTIMATE; SOIL NITROGEN; SOIL TEXTURES; SOUTH ISLAND; SPATIAL VARIATIONS; STAND DENSITIES; STAND VOLUME; STEM DIAMETER; WATER HOLDING CAPACITY; WEST COAST; WESTERN REGION;

ATMOSPHERIC HUMIDITY; ATMOSPHERIC TEMPERATURE; FORESTRY; SOILS; SUN;

PRODUCTIVITY;

AIR TEMPERATURE; BASAL AREA; CONCENTRATION (COMPOSITION); CONIFEROUS TREE; DATA SET; DIAMETER; ENVIRONMENTAL CONDITIONS; FORESTRY MODELING; FORESTRY PRODUCTION; HEIGHT; HUMIDITY; NUMERICAL MODEL; OBSERVATIONAL METHOD; PRECIPITATION INTENSITY; SENSITIVITY ANALYSIS; SOIL NITROGEN; SOIL NUTRIENT; SOIL TEXTURE; SOLAR RADIATION; SPATIAL VARIATION; VOLUME;

NEW ZEALAND;

PINUS RADIATA;

EID: 79960066417     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2011.05.036     Document Type: Article

References (62)

1. Arneth A., Kelliher F.M., Mcseveny T.M., Byers J.N. Assessment of annual carbon exchange in a water-stressed Pinus radiata plantation: an analysis based on eddy covariance measurements and an integrated biophysical model. Glob. Change Biol. 1998, 5:531-545.
2. Arneth A., Kelliher F.M., Mcseveny T.M., Byers J.N. Fluxes of carbon and water in a Pinus radiata forest subject to soil water deficit. Aust. J. Plant Physiol. 1998, 25:557-570.
3. Battaglia, M., Bruce, J., Brack, C., Baker, T., 2009. Climate change and Australia's plantation estate: analysis of vulnerability and preliminary investigation of adaptation options. Report prepared for Forest and Wood Products Australia Ltd, Melbourne. 125p.
4. Battaglia M., Sands P., White D., Mummery D. CABALA: a linked carbon, water and nitrogen model of forest growth for silvicultural decision support. Forest Ecol. Manag. 2004, 193:251-282.
5. Beets P.N., Kimberley M.O., Mckinley R.B. Predicting wood density of Pinus radiata annual growth increments. New Zeal. J. For. Sci. 2007, 37:241-266.
6. Booth T.H., Mcmurtrie R.E. Climatic change and Pinus radiata plantations in Australia. Greenhouse 1988, 534-545. Cambridge University Press, Melbourne. G.I. Pearman (Ed.).
7. Coops N.C., Coggins S.B., Kurz W.A. Mapping the environmental limitations to growth of coastal Douglas-fir stands on Vancouver Island, British Columbia. Tree Physiol. 2007, 27:805-815.
8. Coughenour M.B., Chen D.X. Assessment of grassland ecosystem responses to atmospheric change using linked plant-soil process models. Ecol. Appl. 1997, 7:802-827.
9. Cown, D.J. 1999. New Zealand Pine and Douglas-Fir: Suitability for processing. Forest Research Bulletin 216, Forest Research, Rotorua, New Zealand. p. 72.
10. Davis M.R., Coker G., Parfitt R.L., Simcock R., Clinton P.W., Garrett L.G., Watt M.S. Relationships between soil and foliar nutrients in young densely planted mini-plots of Pinus radiata and Cupressus lusitanica. Forest Ecol. Manag. 2007, 240:122-130.
11. Dymond, J.R., Ausseil, A.-G., Ekanayake, J., Kirschbaum, M.U.F., 2011. Tradeoffs between soil, water, and carbon - a national scale analysis from New Zealand. J. Environ. Manage. (Accepted).
12. Grant R.F., Oechel W.C., Ping C.L. Modelling carbon balances of coastal arctic tundra under changing climate. Glob. Change Biol. 2003, 9:16-36.
13. Hasenauer H., Nemani R.R., Schadauer K., Running S.W. Forest growth response to changing climate between 1961 and 1990 in Austria. Forest Ecol. Manag. 1999, 122:209-219.
14. Hunter I.R., Gibson A.R. Predicting Pinus radiata site index from environmental variables. New Zeal. J. For. Sci. 1984, 14:53-64.
15. Hutchinson, M.F., 2010. ANUSPLIN, Available online at: <>[Last accessed in October 2010]. http://cres.anu.edu.au/outputs/anusplin.php.
16. Jackson D.S., Gifford H.H. Environmental variables influencing the increment of radiata pine (1) Periodic volume increment. New Zeal. J. For. Sci. 1974, 4:3-26.
17. Kellomäki S., Vaisanen H. Modelling the dynamics of the forest ecosystem for climate change studies in the boreal conditions. Ecol. Model. 1997, 97:121-140.
18. Kimberley M.O., Beets P.N. National volume function for estimating total stem volume of Pinus radiata stands in New Zealand. New Zeal. J. For. Sci. 2007, 37:355-371.
19. Kirschbaum M.U.F. CenW, a forest growth model with linked carbon, energy, nutrient and water cycles. Ecol. Model. 1999, 118:17-59.
20. Kirschbaum M.U.F., Paul K.I. Modelling carbon and nitrogen dynamics in forest soils with a modified version of the CENTURY model. Soil Biol. Biochem. 2002, 34:341-354.
21. Kirschbaum M.U.F., Guo L.B., Gifford R.M. Observed and modelled soil carbon and nitrogen changes after planting a Pinus radiata stand onto former pasture. Soil Biol. Biochem. 2008, 40:247-257.
22. Kirschbaum M.U.F., Keith H., Leuning R., Cleugh H.A., Jacobsen K.L., van Gorsel E., Raison R.J. Modelling net ecosystem carbon and water exchange of a temperate Eucalyptus delegatensis forest using multiple constraints. Agr. Forest Meteorol. 2007, 145:48-68.
23. Kirschbaum, M.U.F., Watt, M.S., Tait, A., Ausseil, A-G.E., 2011. Future productivity of Pinus radiata in New Zealand under expected climatic changes. Glob. Change Biol. (In preparation).
24. Landsberg J.J., Waring R.H. A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. Forest Ecol. Manag. 1997, 95:209-228.
25. Lewis N.B., Ferguson I.S. Management of Radiata Pine 1993, Inkata Press, Melbourne, Australia, 404 p.
26. Magnani F., Consiglio L., Erhard M., Nole A., Ripullone F., Borghetti M. Growth patterns and carbon balance of Pinus radiata and Pseudotsuga menziesii plantations under climate change scenarios in Italy. Forest Ecol. Manag. 2004, 202:93-105.
27. Mäkelä A., Landsberg J., Ek A.R., Burk T.E., Ter-Mikaelian M., Ågren G.I., Oliver C.D., Puttonen P. Process-based models for forest ecosystem management: current state of the art and challenges for practical implementation. Tree Physiol. 2000, 20:289-298.
28. Mcmurtrie R.E., Rook D.A., Kelliher F.M. Modelling the yield of Pinus radiata on a site limited by water and nitrogen. Forest Ecol. Manag. 1990, 30:381-413.
29. Miehle P., Battaglia M., Sands P.J., Forrester D.I., Feikema P.M., Livesley S.J., Morris J.D., Arndt S.K. A comparison of four process-based models and a statistical regression model to predict growth of Eucalyptus globulus plantations. Ecol. Model. 2009, 220:734-746.
30. Monteith J.L. Climate and efficiency of crop production in Britain. Philos. T. Roy. Soc. B 1977, 281:277-294.
31. Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models. 1. A discussion of principles. J. Hydrol. 1970, 10:282-290.
32. New Zealand Forest Owners Association (2010). New Zealand plantation forest industry facts and figures. New Zealand Forest Owners Association. Available online at: <> [last accessed 4 Feb 2011]. http://www.nzfoa.org.nz.
33. Palmer D.J., Höck B.K., Kimberley M.O., Watt M.S., Lowe D.J., Payn T.W. A comparison of spatial prediction techniques for developing Pinus radiata productivity surfaces across New Zealand. Forest Ecol. Manag 2009, 258:2046-2055.
34. Payn T.W., Skinner M.F., Hill R.B., Thorn A.J., Scott J., Downs S., Chapman H. Scaling up or scaling down: the use of foliage and soil information for optimising the phosphate nutrition of radiata pine. Forest Ecol. Manag. 2000, 138:79-89.
35. Pinjuv G., Mason E.G., Watt M.S. Quantitative validation and comparison of a range of forest growth model types. Forest Ecol. Manag. 2006, 236:37-46.
36. Richardson B., Whitehead D., McCracken I.J. Root-zone water storage and growth of Pinus radiata in the presence of a broom understorey. New Zeal. J. For. Sci. 2002, 32:208-220.
37. Roxburgh S.H., Barrett D.J., Berry S.L., Carter J.O., Davies I.D., Gifford R.M., Kirschbaum M.U.F., McBeth B.P., Noble I.R., Parton W.G., Raupach M.R., Roderick M.L. A critical overview of model estimates of net primary productivity for the Australian continent. Funct. Plant Biol. 2004, 31:1043-1059.
38. Running S.W., Coughlan J.C. A general model of forest ecosystem processes for regional applications. 1. Hydrologic balance, canopy gas-exchange and primary production processes. Ecol. Model 1988, 42:125-154.
39. Sabaté S., Gracia C.A., Sánchez A. Likely effects of climate change on growth of Quercus ilex, Pinus halepensis, Pinus pinaster, Pinus sylvestris and Fagus sylvatica forests in the Mediterranean region. Forest Ecol. Manag. 2002, 162:23-37.
40. Sands P.J. Modelling canopy production. II. From single-leaf photosynthesis parameters to daily canopy photosynthesis. Aust. J. Plant Physiol. 1995, 22:603-614.
41. Schoenholtz S.H., van Miegroet H., Burger J.A. A review of chemical and physical properties as indicators of forest soil quality: challenges and opportunities. Forest Ecol. Manag. 2000, 138:335-356.
42. Schuur E.A.G. Productivity and global climate revisited: The sensitivity of tropical forest growth to precipitation. Ecology 2003, 84:1165-1170.
43. Schuur E.A.G., Matson P.A. Net primary productivity and nutrient cycling across a mesic to wet precipitation gradient in Hawaiian montane forest. Oecologia 2001, 128:431-442.
44. Simioni G., Ritson P., McGrath J., Kirschbaum M.U.F., Copeland B., Dumbrell I. Predicting wood production and carbon sequestration of Pinus radiata plantations in south-western Australia: application of a process-based model. Forest Ecol. Manag. 2008, 255:901-912.
45. Simioni G., Ritson P., Kirschbaum M.U.F., McGrath J., Dumbrell I., Copeland B. Predicting the carbon budget of tree plantations under climate change: the case study of Pinus radiata in south-western Australia. Tree Physiol. 2009, 29:1081-1093.
46. Smith C.T., Lowe A.T., Skinner M.F., Beets P.N., Schoenholtz S.H., Fang S.Z. Response of radiata pine forests to residue management and fertilisation across a fertility gradient in New Zealand. Forest Ecol. Manag. 2000, 138:203-223.
47. Snowdon P. Short-term predictions of growth of Pinus radiata with models incorporating indices of annual climatic variation. Forest Ecol. Manag. 2001, 152:1-11.
48. Soares P., Tomé M., Skovsgaard J.P., Vanclay J.K. Evaluating a growth model for forest management using continuous forest inventory data. Forest Ecol. Manag. 1995, 71:251-265.
49. Tait A. Future projections of growing degree days and frost in New Zealand and some implications for grape growing. Weather Climate 2008, 28:17-36.
50. Tait A., Liley B. Interpolation of daily solar radiation for New Zealand using a satellite-derived cloud cover surface. Weather Climate 2009, 29:70-88.
51. Tait A., Henderson R., Turner R., Zheng X. Thin-plate smoothing spline interpolation of daily rainfall for New Zealand using a climatological rainfall surface. Int. J. Climatol. 2006, 26:2097-2115.
52. Watt, M.S., Kirschbaum, M.U.F., 2011. Moving beyond simple linear allometric relationships between tree height and diameter. Ecol. Model. (Submitted).
53. Watt M.S., Coker G., Clinton P.W., Davis M.R., Parfitt R., Simcock R., Garrett L., Payn T., Richardson B., Dunningham A. Defining sustainability of plantation forests through identification of site quality indicators influencing productivity - a national view for New Zealand. Forest Ecol. Manag. 2005, 216:51-63.
54. Watt M.S., Kimberley M.O., Coker G., Richardson B., Estcourt G. Modelling the influence of weed competition on growth of young Pinus radiata. Development and parameterization of a hybrid model across an environmental gradient. Can. J. Forest Res. 2007, 37:607-616.
55. Watt M.S., Palmer D.J., Dungey H., Kimberley M.O. Predicting the spatial distribution of Cupressus lusitanica productivity in New Zealand using interpolated surfaces and ancillary maps. Forest Ecol. Manag. 2009, 258:217-223.
56. Watt M.S., Palmer D.J., Kimberley M.O., Höck B.K., Payn T.W., Lowe D.J. Development of models to predict Pinus radiata productivity throughout New Zealand. Can. J. Forest Res. 2010, 40:488-499.
57. Watt M.S., Whitehead D., Richardson B., Mason E.G., Leckie A.C. Modelling the influence of weed competition on the growth of young Pinus radiata at a dryland site. Forest Ecol. Manag. 2003, 178:271-286.
58. Weston G.C. Fertiliser trials in unthrifty pine plantations at Riverhead Forest. NZ J. For. 1956, 7:35-46.
59. Whitehead D., Kelliher F.M., Frampton C.M., Godfrey M.J.S. Seasonal development of leaf area in a young, widely-spaced Pinus radiata D. Don stand. Tree Physiol. 1994, 14:1019-1038.
60. Wilde, R.H., Willoughby, E.J., Hewitt, A.E., 2000. Data manual for the national soils database spatial extension. Landcare Research New Zealand Ltd. Available online at: <> [Last accessed October 2010]. http://www.landcareresearch.co.nz.
61. Will, G., 1985. Nutrient deficiencies and fertiliser use in New Zealand exotic forests. FRI Bulletin No. 97, pp. 54.
62. Wratt D.S., Tait A., Griffiths G., Espie P., Jessen M., Keys J., Ladd M., Lew D., Lowther W., Mitchell N., Morton J., Reid J., Reid S., Richardson A., Sansom J., Shankar U. Climate for crops: integrating climate data with information about soils and crop requirements to reduce risks in agricultural decision-making. Meteorol. Appl. 2006, 13:305-315.