Factors influencing the growth of radiata pine plantations in Chile

Forestry

Volumn 86, Issue 1, 2013, Pages 13-26

  Álvarez, José ^a   Allen, H L ^a   Albaugh, T J ^a   Stape, J L ^a   Bullock, B P ^a   Song, C ^b  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b University of North Carolina at Chapel Hill   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONIFEROUS FOREST; ENVIRONMENTAL FACTOR; EVAPOTRANSPIRATION; FOREST CANOPY; FORESTRY MODELING; GROWING SEASON; GROWTH RATE; LEAF AREA; PHOTOSYNTHESIS; PHOTOSYNTHETICALLY ACTIVE RADIATION; PLANTATION FORESTRY; PRECIPITATION (CLIMATOLOGY); PRODUCTIVITY; TEMPERATURE EFFECT; VOLUME; WATER AVAILABILITY; YIELD;

CHILE;

PINUS RADIATA; RADIATA;

EID: 84872256254     PISSN: 0015752X     EISSN: 14643626     Source Type: Journal    
DOI: 10.1093/forestry/cps072     Document Type: Article

References (70)

1. Contesse, D. 1986. Apuntes y consideraciones para la historia del pino radiata en Chile. Bol. Acad. Chil. Hist., 97, 351-373.
2. INFOR 1974. Estadísticas forestales. Santiago, Serie informativa No. 23. Chile.
3. Cerda, I. and Nuñez, R. 1998. Appreciation of the Chilean Forest Resource: Plantations of Pinus radiata and Eucalyptus sp. 1985-1996. FAO document. Forest Finance Working Paper-FSFM/ACC/01. 40 pp.
4. INFOR. 2010 Estadísticas forestales chilenas 2008. Santiago, Instituto Forestal (INFOR), Ministerio de Agricultura. Chile www.infor.cl.
5. Hartwig, C.F. 1994. La Tierra que Recuperamos. Santiago, Editorial Los Andes. Chile.
6. Alvarez, J. 2010. Factors affecting growth of Pinus radiata in Chile Ph.D. dissertation North Carolina State University. Raleigh, NC.
7. Monteith, J.L. 1977. Climate and the efficiency of crop production in Britain. Phil. Trans. R. Soc. B 281, 277-294.
8. McMurtrie, R.E., Gholz, H.L., Linder, S. and Gower, S.T. 1994. Climate factors controlling productivity of pine stands: a model-based approach. In Environmental Constraints on the Structure and Productivity of Pine Forest Ecosystems: a Comparative Analysis. Gholz, H.L., Linder, S., McMurtrie (eds). Ecol. Bull. 43, 173-188.
9. Coops, N.C. and Waring, R.H. 2001a. Estimating forest productivity in the eastern Siskiyou Mountains of southwestern Oregon using a satellite driven process model, 3-PGS. Can. J. For. Res. 31, 143-154. (Pubitemid 32185349)
10. Coops, N.C., Waring, R.H. and Landsberg, J.J. 1998. 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. 104, 113-127. (Pubitemid 28214051)
11. Coops, N.C., Waring, R.H. and Landsberg, J.J. 2001. Estimation of potential forest productivity across the Oregon transect using satellite data and monthly weather records. Int. J. Remote Sensing, 22(18), 3797-3812. (Pubitemid 33038363)
12. Cannell, M.G.R. 1989a. Physiological basis of wood production: a review. Scand. J. For. Res. 4, 459-490.
13. Cannell, M.G.R.Pereira, J.S. and Landsberg, J.J. 1989b. Light interception, light use efficiency and assimilate partitioning in poplar and willow stands. Biomass Production by Fast-Growing Trees. Dordrecht, Kluwer Academic Publishers. 1-12.
14. Turner, J. and Lambert, M. 1986. Nutrition and nutritional relationships of Pinus radiata. Ann. Rev. Ecol. Syst. 17, 325-350.
15. Linder, S., Benson, M.L., Myers, B.J. and 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. (Pubitemid 19318215)
16. Snowdon, P. and 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. (Pubitemid 23397627)
17. Benson, M.L., Myers, B.J. and Raison, R.J. 1992. Dynamics of stem growth of Pinus radiata as affected by water and nitrogen supply. For. Ecol. Manage. 52, 117-137. (Pubitemid 23397628)
18. Linder, S. and Rook, D.A.Bowen, G.D. and Nambiar, E.K.S. 1984. Effects of mineral nutrition on carbon dioxide exchange and partitioning in trees. Nutrition of Plantation Forests. London, Academic Press. 211-236.
19. McMurtrie, R.E., Rock, D.A. and Kelliher, F.M. 1990. Modelling the yield of Pinus radiata on a site limited by water and nitrogen. For. Ecol. Manage. 30, 381-413.
20. Linder, S. 1987. Responses to water and nutrients in coniferous ecosystems. In: Potentials and Limitations of Ecosystem Analysis, E.-D. Schulze and H. Zwolfer, editors. Ecol. Stud. 61, 180-202.
21. Raison, R.J., Khanna, P.K., Benson, M.L., Myers, B.J., McMurtrie, R.E. and Lang, A.R.G. 1992. Dynamics of Pinus radiata foliage in relation to water and nitrogen stress: II. Needle loss and temporal changes in total foliage mass. For. Ecol. Manage. 52, 159-178. (Pubitemid 23397630)
22. Landsberg, J.J. and Waring, R.H. 1997. A generalized model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. For. Ecol. Manage. 95, 209-228. (Pubitemid 27383743)
23. Real, P. 2006. National Growth and Yield Simulation Project: example of cooperation among private sector and research institutes. The Second International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications 13-17 November 2006 Beijing, P.R. China
24. Mininco. 1995 Compendio de funciones para especies de interés de Forestal Mininco S.A.. Concepció n, Technical Report. Chile.
25. Peredo, M.L. and Mora, C. 2004. Technological characterization of Arauco's forest resource. Bioforest S.A, Concepció n. Chile.
26. Walkley, A. and Black, I.A. 1934. An examination of Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Sci. 37, 29-37.
27. Page, A.L. 1982. Methods of Soil Analysis: Chemical and Microbiological Properties 2nd edn.Madison, American Society of Agronomy/Soil Science Society of America, Pt. 2. (Agronomy Series)
28. Olsen, S.R., Cole, C.V., Watanabe, F.S. and Dean, L.A. 1954. Estimation of available phosphorus in soils by extraction with sodium bicarbonate United States Department of Agriculture Circular. 939.
29. Bray, R.H. and Kurtz, L.T. 1945. Determination of total, organic, and available forms of phosphorus in soils. Soil Sci. 59, 39-45.
30. Sadzawka, R., Carrasco, A.M., Grez, R. and Mora, M.L. 2004. Me'todos de análisis recomendados para los suelos chilenos Santiago, Chile, Comisión de normalización y acreditació n. Sociedad chilena de la ciencia del suelo
31. McGeehan, S.L., Topper, K. and Naylor, D.V. 1989. Sources of variation in hot water extraction and colorimetric determination of soil boron. Commun. Soil Sci. Plant. Anal. 20, 1777-1786.
32. Miller, R.O., Kotuby-Amacher, J. and Rodriguez, J.B. 1997. Particle Size Analysis (Hydrometer). pp. 96-99. Western States Laboratory Proficiency Testing Program Soil and Plant Analytical Methods. Version. 4.00.
33. ESRI. 2009 ArcMap9.2, Redlands, CA.
34. Sands, P.J. and Landsberg, J.J. 2002. Parameterisation of 3-PG for plantation grown Eucalyptus globulus. For. Ecol. Manage. 163, 273-292. (Pubitemid 34682446)
35. Allen, R.G., Pereira, L.S., Raes, D. and Smith, M. 1998. Crop evapotranspiration: Guidelines for computing crop water requirements Rome, FAO. FAO Irrigation and Drainage Paper 56.
36. Allen, R.G., Jensen, M.E., Wright, J.L. and Burman, R.D. 1989. Operational estimates of reference evapotranspiration. Agron. J. 81(4), 650-662.
37. ASCE-EWRI. 2004 The ASCE standardized reference evapotranspiration equation Technical Committee report to the Environmental and Water Resources Institute of the American Society of Civil Engineers from the Task Committee on Standardization of Reference Evapotranspiration. 173 p.
38. Sun, G., Alstad, K., Chen, J., Chen, S., Ford, C.R. and Lin, G. et al. 2011. A general predictive model for estimating monthly ecosystem evapotranspiration. Ecohydrology 4, 245-255.
39. Thornton, P.E. and Running, S.W. 1999. An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation. Agric. For. Meteor. 93, 211-228. (Pubitemid 29184158)
40. Alvarez, J., Mitasova, H. and Allen, H.L. 2011. Estimating monthly solar radiation in south-central Chile. Chil. J. Agr. Res. 71(4), 601-609.
41. Stenberg, P., Rautiainen, M., Manninen, T., Voipio, P. and Smolander, H. 2004. Reduced simple ratio better than NDVI for estimating LAI in Finnish pine and spruce stands. Silva Fenn. 38(1), 3-14.
42. Whitehead, D., Kelliher, F.M., Frampton, C.M. and Godfrey, M.J.S. 1994. Seasonal development of leaf area in a young, widely spaced Pinus radiata D. Don stand. Tree Phys. 14, 1019-1038.
43. SAS Institute, Inc. 2009 SAS/STAT User's Guide. Release 9.1.3. Cary, NC, USA, SAS Institute.
44. Flores, F.J. and Allen, H.L. 2004. Efectos del clima y capacidad de almacenamiento de agua del suelo en la productividad de rodales de pino radiata en Chile: Un análisis utilizando el modelo 3-PG. Bosque 25(3), 11-24.
45. Gerding, V. and Schlatter, J.E. 1995. Important site variables and factors for Pinus radiata D. Don productivity in Chile. Bosque 16(2), 39-56.
46. Schlatter, J. and Gerding, V. 1999. Productivity in an example of six characteristic sites of the VIII Region with Pinus radiata D. Don. Bosque 20(1), 65-77.
47. Tosso, T.J. 1985. Suelos volca'nicos de Chile. Santiago, Instituto de Investigaciones Agropecuarias. 723. Chile
48. Hunter, I.R. and Gibson, A.R. 1984. Predicting Pinus radiata site index from environmental varaiables. N. Z. J. For. Sci. 14(1), 53-64. (Pubitemid 16280710)
49. Battaglia, M., Cherry, M.L., Beadle, C.L., Sands, P.J. and Hingston, A. 1998. Prediction of leaf area index in eucalypt plantations: effect of water stress and temperature. Tree Phys. 18, 521-528. (Pubitemid 28398040)
50. Dougherty, P.M., Whitehead, D. and Vose, J.M. 1994. Environmental influences on the phenology of pine. Ecol. Bull. 43, 64-75.
51. Hebert, M.T. and Jack, S.B. 1998. Leaf area index and site water balance of loblolly pine (Pinus taeda L.) across a precipitation gradient in East Texas. For. Ecol. Manage. 105, 273-282. (Pubitemid 28228989)
52. Vose, J.M., Dougherty, P.M., Long, J.N., Smith, F.W., Gholz, H.L. and Curran, P.J. 1994. Factors influencing the amount and distribution of leaf area of pine stands. Ecol. Bull. 43, 102-114.
53. Chen, J.M. and Cihlar, J. 1995a. Quantifying the effect of canopy architecture on optical measurements of leaf area index using two gap size analysis methods. IEEE Trans. Geosci. Remote Sensing, 33, 777-787.
54. Rubilar, R. 2005. Environmental constraints on growth phenology, leaf area display, and above and belowground biomass accumulation of Pinus radiata (D. Don) in Chile PhD thesis North Carolina State University. 208p.
55. Huber, A. and Trecaman, R. 2004. Water-use efficiency for Pinus radiata stands in Chile. Bosque. 25(3), 33-43.
56. Snowdon, P., Wollons, R.C. and Benson, M.L. 1998. Incorporation of climatic indices into models of growth of Pinus radiata in a spacing experiment. New For. 16, 102-123.
57. Sheriff, D.W., Margolis, H.A., Kaufmann, M.R. and Reich, P.B.Smith, W.K. and Hinckley, T.M. 1995. Resource use efficiency. Resource Physiology of Conifers. San Diego, Academic Press. 143-178.
58. Battaglia, M., Bruce, J., Brack, C. and Baker, T. 2009. Climate Change and Australia's Plantation Estate: Analysis of Vulnerability and Preliminary Investigation of Adaptation Options. Melbourne, Victoria, Australia, Forest & Wood Products Australia.
59. Pangle, L., Vose, J.M. and Teskey, R.O. 2009. Radiation use efficiency in adjacent hardwoods and pine forests in the southern Appalachians. For. Ecol. Manage. 257, 1034-1042.
60. Law, B.E. and Waring, R.H. 1994. Combining remote sensing and climatic data to estimate net primary production across Oregon. Ecol. Appl. 4(4), 717-728.
61. Runyon, J., Waring, R.H., Goward, S.N. and Welles, J.M. 1994. Environmental limits on net primary production and light use efficiency across the Oregon Transect. Ecol. Appl. 4, 226-237. (Pubitemid 2076155)
62. Medlyn, B.E. 1998. Physiological basis of the light use efficiency model. Tree Phys. 18, 167-176. (Pubitemid 28202635)
63. Albaugh, T.J., Allen, H.L., Dougherty, P.M., Kress, L.W. and King, J.S. 1998. Leaf area and above and belowground growth responses of loblolly pine to nutrient and water additions. For. Sci. 44(2), 317-328. (Pubitemid 28434018)
64. Stape, J.L., Ryan, M.G. and Binkley, D. 2004a. Testing the utility of the 3-PG model for growth of Eucalyptus grandis x urophylla with natural and manipulated supplies of water and nutrients. For. Ecol. Manage. 193, 219-234. (Pubitemid 38587568)
65. Stape, J.L., Binkley, D. and Ryan, M.G. 2004b. Eucalyptus production and the supply, use and efficiency of use of water, light and nutrients across a geographic gradient in Brazil. For. Ecol. Manage. 193, 17-31. (Pubitemid 38583559)
66. Landsberg, J.J. and Gower, S.T. 1997. Applications of physiological ecology to forest management. San Diego, USA, Academic Press.
67. Sheriff, D.W., Mattay, J.P. and McMurtrie, R.E. 1996. Modeling productivity and transpiration of Pinus radiata: climatic effects. Tree Phys. 16, 183-186. (Pubitemid 126520744)
68. CONAF. 2010 Pró rroga ex DL 701 (Ley 20.488) que regula la actividad forestal e incentiva la forestació n. Santiago. Chile.
69. Neuenschwander, A. 2010. El Cambio Climático en el Sector Silvoagropecuario de Chile. Fundación para la Innovación Agraria. Gobierno de Chile. Santiago, Chile. 126p.
70. FPC. 2000 Midrotation fertilization in Pinus radiata plantations in Chile. Regionwide 13 workplan Forest Productivity Cooperative, Raleigh, NC.