Determining the optimal planting density and land expectation value - A numerical evaluation of decision model

Forest Science

Volumn 44, Issue 3, 1998, Pages 356-364

  Gong, Peichen ^a  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

Decision analysis; Forest management; Pinus sylvestris; Stochastic optimization; Uncertainty

Indexed keywords

PINUS SYLVESTRIS;

EID: 0031665421     PISSN: 0015749X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. BRAZEE, R., AND R. MENDELSOHN. 1988. Timber harvesting with fluctuating prices. For. Sci. 34:359-372.
2. CAULFIELD, J.P., D.B. SOUTH, AND G.L. SOMERS. 1990. The influence of the price-size curve on planting density decisions. P. 801-810 in Proc. of the Sixth Bienn. South. Silvic. Res. Conf.
3. CHANG, S.J. 1983. Rotation age, management intensity, and the economic factors of timber production: Do changes in stumpage price, interest rate, regeneration cost, and forest taxation matter? For. Sci. 29:267-277.
4. ERMOLIEV, YU., AND R.J-B. WETS. 1988. Stochastic programming: An introduction. P. 1-32 in Numerical techniques for stochastic optimization, Ermoliev, Yu., and R.J-B. Wets (eds.). Springer-Verlag, Heidelberg.
5. HAIGHT, R.G. 1993a. Optimal management of loblolly pine plantations with stochastic price trends. Can. J. For. Res. 23:41-48.
6. HAIGHT, R.G. 19936. The economics of Douglas-fir and red alder management with stochastic price trends. Can. J. For. Res. 23:1695-1703.
7. HOWARD, R.A. 1968. The foundations of decision analysis. IEEE Transactions on Systems Science and Cybernetics, SSC-4, No. 3. P. 211-219.
8. HÄGGLUND, B. 1974. Övre höjdens utveckling i tallbestånd. Research Notes 31. Dep. of For. Yield Res., Roy. Coll. of For., Sweden.
9. LEMBERSKY, M.R., AND K.N. JOHNSON. 1975. Optimal policies for managed stands: An infinite horizon Markov decision process approach. For. Sci. 21:109-122.
10. LENDRUP, L. 1977. utbytetabeller. Skogsforkningsstiftelsen Skogsarbeten, Sweden.
11. LOHMANDER, P. 1994. The economically optimal number of plants, the damage probability and the stochastic rounwood market. P. 290-314 in Proc. of the Internat. Symp. on Systems analysis and management decisions in forestry, Gonzalo, L., and V. Paredes (eds.).
12. MÖRLING, T. 1994. Optimal planting density under price risk. P. 175-183 in Scandinavian forest economics (35): Proc. of the Bienn. Meet. of the Scandinavian Soc. of For. Econ., Helles, F., and M. Linddal (eds.).
13. PERSSON, O.A. 1992. En produktionsmodell för tallskog i Sverige. Rep. 31. Dep. of For. Yield Res., Swedish Univ. of Agric. Sci., Sweden.
14. PETTERSSON, N. 1992. Inverkan av planteringsförbandet på volym och strukture i tall-och granbestånd. Rep. 30. Dep. of For. Yield Res., Swedish Univ. of Agric. Sci., Sweden.
15. POWELL, M.J.D. 1964. An efficient method for finding the minimum of a function of several variables without calculating derivatives. Comput. J. 7:155-162.
16. QUICKE, H.E., J.P. CAULFIELD, AND D.B. SOUTH. 1990. Incorporating risk into site preparation decisions. P. 832-841 in Proc. of the Sixth Bienn. South. Silvic. Res. Conf.
17. SOLBERG, B., AND R.G. HAIGHT. 1991. Analysis of optimal economic management regimes for Picea abies stands using stage-structured optimal-control model. Scand. J. For. Res. 6: 559-572.
18. 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.