Optimum juvenile density, harvesting, and stand structure in even-aged scots pine stands

Forest Science

Volumn 51, Issue 2, 2005, Pages 120-133

  Hyytiäinen, Kari ^a   Tahvonen, Olli ^a   Valsta, Lauri ^b  

^a FINNISH FOREST RESEARCH INSTITUTE   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Forest economics; Individual tree growth model; Thinning type; Timber quality

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; HARVESTING; MATHEMATICAL MODELS; QUALITY CONTROL; TIMBER;

INFERIOR-QUALITY GROWTH; JUVENILE DENSITY; SAWLOG DIMENSIONS; TIMBER PRODUCTION;

FORESTRY;

ECONOMIC ANALYSIS; FORESTRY; FORESTS; HARVESTING; MATHEMATICAL MODELS; PINUS; QUALITY CONTROL;

PINUS SYLVESTRIS;

EID: 18044383340     PISSN: 0015749X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (55)

1. AMIDON, E.L., AND G.S. AKIN. 1968. Dynamic programming to determine optimum levels of growing stock. For. Sci. 14:287-291.
2. ARTHAUD, G.J., AND W.D. KLEMPERER. 1988. Optimizing high and low thinning in loblolly pine with dynamic programming. Can. J. For. Res. 18:1118-1122.
3. BARBOUR, R.J., AND R.M. KELLOGG. 1990. Forest management and end-product quality: A Canadian perspective. Can. J. For. Res. 20:405-414.
4. BRODIE, J.D., D.M. ADAMS, AND C. KAO. 1978. Analysis of economic impacts of thinning and rotation for Douglas-fir using dynamic programming. For. Sci. 24:513-522.
5. DAVIS, L.S., K.N. JOHNSON, P.S. BETTINGER, AND T.T. HOWARD. 2001. Forest management: To sustain ecological, economic, and social values, 4th ed. McGraw-Hill, New York. 804 p.
6. ERIKSSON, L.O. 1994. Two methods for solving stand management problems based on a single tree model. For. Sci. 40:732-758.
7. ERIKSSON, L.O. 1999. The Faustmann rotation with thinning and economies of scale. In Proc. of the biennial meeting of the Scandinavian Society of Forest Economics, Umeå, Sweden, May-June 1998. Lohmander, P. (ed.). Scandinavian Forest Economics 37. University of Umeå, Umeå, Sweden.
8. FAUSTMANN, M. 1849. Berechnung des Wertes welchen Waldboden sowie noch nicht haubare Holzbestände für die Waldwirtschaft besitzen. Allgemaine Forst- und Jagd-Zeitung 15:441-455.
9. GETZ, W.M., AND R.G. HAIGHT. 1989. Population harvesting: Demographic models of fish, forest and animal resources. Princeton University Press, Princeton, NJ. 391 p.
10. GONG, P. 1998. Determining the optimal planting density and land expectation value - A numerical evaluation of decision model. For. Sci. 44:356-364.
11. HAIGHT, R.G. 1987. Evaluating the efficiency of even-aged and uneven-aged stand management. For. Sci. 33:116-134.
12. HAIGHT, R.G. 1993. Optimal management of loblolly pine plantations with stochastic price trends. Can. J. For. Sci. 23:41-48.
13. HAIGHT, R.G., AND R.A. MONSERUD. 1990a. Optimizing any-aged management of mixed-species stands. I. Performance of a coordinate-search process. Can. J. For. Res. 20:15-25.
14. HAIGHT, R.G., AND R.A. MONSERUD. 1990b. Optimizing any-aged management of mixed-species stands. II. Effects of decision criteria. For. Sci. 36:125-144.
15. HAIGHT, R.G., J.D. BRODIE, AND W.G. DAHMS. 1985. A dynamic programming algorithm for optimization of lodgepole pine management. For. Sci. 31:321-330.
16. HALINEN, M. 1985. The effect of the growth rate of young pine on the quality of sawn goods. Silv. Fenn. 19:377-385.
17. HAYGREEN, J.G., AND J.L. BOWYER. 1996. Forest products and wood science: An introduction, 3rd ed. Iowa State University Press, Ames. 484 p.
18. HOOKE, R., AND T.A. JEEVES. 1961. "Direct search" solution of numerical and statistical problems. J. Assoc. Comput. Mach. 8:212-229.
19. HYNYNEN, J. 1995. Predicting the growth response to thinning for Scots pine stands using individual-tree growth models. Silv. Fenn. 29:225-246.
20. HYNYNEN, J., R. OJANSUU, H. HÖKKÄ, J. SIIPILEHTO, H. SALMINEN, AND P. HAAPALA. 2002. Models for predicting stand development in MELA system. Finnish For. Res. Inst. Res. Pap. 835. 116 p.
21. HYYTIÄINEN, K., AND O. TAHVONEN. 2001. The effects of legal limits and recommendations in timber production: The case of Finland. For. Sci. 47:443-454.
22. HYYTIÄINEN, K., AND O. TAHVONEN. 2002. Economics of forest thinnings and rotation periods for Finnish conifer cultures. Scand. J. For. Res. 17:274-288.
23. JÄGHAGEN, K., AND H. LAGESON. 1996. Timber quality after thinning from above and below in stands of Pinus sylvestris. Scand. J. For. Res. 11:336-342.
24. KILKKI, P., AND U. VÄISÄNEN. 1969. Determination of the optimum cutting policy for the forest stand by means of dynamic programming. Acta For. Fenn. 102:1-23.
25. KUITTO, J.-P., S. KESKINEN, J. LINDROOS, T. OJALA, J. RAJAMÁKI, T. RÄSÄNEN, AND J. TERÄVÄ. 1994. Mechanized cutting and forest haulage. Metsäteho report 410. Painovalmiste KY, Helsinki. (In Finnish). 38 p.
26. LAASASENAHO, J. 1982. Taper curve and volume functions for pine, spruce and birch. Comm. Inst. For. Fenn. 108:1-74.
27. MIELIKÄINEN, K., AND S. VALKONEN. 1991. Effect of thinning method on the yield of middle-aged stands in southern Finland. Folia For. 776. 22 p. (In Finnish with English summary).
28. MIINA, J. 1996. Optimizing thinning and rotation in a stand of Pinus sylvestris on a drained peatland site. Scand. J. For. Res. 11:182-192.
29. MINISTRY OF AGRICULTURE AND FORESTRY. 1997. Decision on the application of the Forest Law 14.3.1997/244. P. 18-23 in Metsätalouden säädökset 2000. Metsätalouden Kehittämiskeskus Tapio, Helsinki.
30. OSYCZKA, A. 1984. Multicriterion optimization in engineering with FORTRAN programs. Ellis Horwood, Chichester. 178 p.
31. PESONEN, M., AND H. HIRVELÄ. 1992. Thinning models based on profitability calculations for Southern Finland. Folia For. 800. 35 p. (In Finnish with English summary).
32. PUKKALA, T., AND J. MIINA. 1998. Tree-selection algorithms for optimizing thinning using a distance-dependent growth model. Can. J. For. Res. 28:693-702.
33. PUKKALA, T., J. MIINA, AND S. KELLOMAKI. 1998a. Response to different thinning intensities in young Pinus sylvestris. Scand. J. For. Res. 13:141-150.
34. PUKKALA, T., J. MIINA, M. KURTTILA, AND T. KOLSTRÖM. 1998b. A spatial model for optimizing the thinning regime of mixed stands of Pinus sylvestris and Picea abies. Scand. J. For. Res. 13:31-42.
35. RAUTIAINEN, O., T. PUKKALA, AND J. MIINA. 2000. Optimizing the management of even-aged Shorea robusta stands in southern Nepal using individual tree growth models. For. Ecol. Manage. 126:417-429.
36. ROISE, J.P. 1986. An approach for optimizing residual diameter class distribution when thinning even-aged stands. For. Sci. 32:871-881.
37. SALMINEN, O. 1993. Simultaneous optimization of thinnings and rotation of cultivated stands using dynamic programming. Finn. For. Res. Inst. Res. Pap. 480. (In Finnish with English summary).
38. SOLBERG, B., AND R.G. HAIGHT. 1991. Analysis of optimal economic management regimes for Picea abies stands using a stage-structured optimal-control model. Scand. J. For. Res. 6:559-572.
39. TAPIO. 2001. Recommendations for good silviculture. Metsätalouden kehittämiskeskus Tapio, Libris Oy, Helsinki. (In Finnish). 95 p.
40. TAYLOR, R.G., AND J.C. FORTSON. 1991. Optimum plantation planting density and rotation age based on financial risk and return. For. Sci. 37:886-902.
41. TEETER, L.D., AND J.P. CAULFIELD. 1991. Stand density management strategies under risk: Effects of stochastic prices. Can. J. For. Res. 21:1373-1379.
42. UUSVAARA, O. 1981. The quality and value of sawn goods obtained from plantation-grown Scots pine. Finn. For. Res. Inst. Res. Pap. 28. 47 p. (In Finnish with English summary).
43. VALSTA, L. 1992a. A scenario approach to stochastic anticipatory optimization in stand management. For. Sci. 38:430-447.
44. VALSTA, L. 1992b. An optimization model for Norway spruce management based on individual-tree growth models. Acta For. Fenn. 232.
45. VALSTA, L. 2001. Sensitivity of the optimum rotation to stumpage valuation. P. 85 in Proc. of the Biennial Meeting of the Scandinavian Society of Forest Economics, Gausdal, Norway, B. Solberg (ed.). Scandinavian Forest Economics 37.
46. VALSTA, L., AND T. LINKOSALO. 1996. Stand Management Assistant (SMA). P. 85-106 in Puuston kehityksen ennustaminen - MELA ja vaihtoehtoja. Finn. For. Res. Inst. Res. Pap. 612, Hynynen, J., and R. Ojansuu (eds.). Hakapaino, Helsinki. (In Finnish).
47. VARMOLA, M. 1982. Development of Scots pine stand at the sapling and pole stages after thinning. Folia For. 524:1-31. (In Finnish with English summary).
48. VETTENRANTA, J. 1996. Effect of species composition on economic return in a mixed stand of Norway spruce and Scots pine. Silv. Fenn. 30:47-60.
49. VETTENRANTA, J., AND J. MIINA. 1999. Optimizing thinnings and rotation of Scots pine and Norway spruce mixtures. Silv. Fenn. 33:73-84.
50. VUOKILA, Y. 1970. Selection from above in intermediate cuttings. Acta For. Fenn. 110. (In Finnish with English summary).
51. VUOKILA, Y. 1977. Selective thinning from above as a factor of growth and yield. Folia For. 298:1-17. (In Finnish with English summary).
52. WIKSTRÖM, P. 2001. Effect of decision variable definition and data aggregation on a search process applied to a single-tree simulator. Can. J. For. Res. 31:1057-1066.
53. YOSHIMOTO, A., R.G. HAIGHT, AND J.D. BRODIE. 1990. A comparison of the pattern search algorithm and the modified PATH algorithm for optimizing an individual tree model. For. Sci. 36:394-412.
54. ZHOU, W. 1998. Optimal natural regeneration of Scots pine with seed trees. J. Environ. Manage. 53:263-271.
55. ZHOU, W. 1999. Optimal method and optimal intensity in reforestation. Doctoral thesis, Swedish University of Agricultural Sciences, Umeå.