References
- Berck , P. and Bible , T. 1984 . Solving and interpreting large-scale harvest scheduling problems by duality and decomposition . Forest Science , 30 : 173 – 182 .
- Birge , J. R. and Louveaux , F. 1997 . Introduction to stochastic programming , New York : Springer .
- Blennow , K. and Sallnäs , O. 2004 . WINDA—A system of models for assessing the probability of wind damage to forest stands within a landscape . Ecological Modelling , 175 : 87 – 99 .
- Boychuk , D. and Martell , D. L. 1996 . A multistage stochastic programming model for sustainable forest-level timber supply under risk of fire . Forest Science , 42 : 10 – 26 .
- Buongiorno , J. 2001 . Generalization of Faustmann's formula for stochastic forest growth and prices with Markov decision process models . Forest Science , 47 : 466 – 474 .
- Camenson , D. M. , Sleavin , K. E. & Greer , K. D. (1996) . SPECTRUM: An analytical tool for building natural resource management models . In R. Päivinen , L. Roihuvuo & M. Siitonen (Eds.) , EFI Proceedings No. 5 (pp. 133 – 141 ). Proceedings of the international seminar and summer school: Large-scale forestry scenario models: Experiences and requirements , Joensuu , Finland , 15–22 June 1995 . Joensuu : European Forest Institute .
- Houghton , J. T. (Ed.) . (2001) . Climate change 2001: The scientific basis. Contribution of Working Group I to the third assessment report of the Intergovernmental Panel on Climate Change . New York : Cambridge University Press .
- Johnson , K. N. & Scheurman , H. L. (1977) . Techniques for prescribing optimal timber harvest and investment under different objectives: Discussion and synthesis . Forest Science , monograph 18 .
- Johnson , K. N. , Stuart , T. W. and Crim , S. A. 1986 . FORPLAN version 2: An overview , Washington DC : USDA Forest Service Land Management Planning System Section .
- Kall , P. and Wallace , S. W. 1994 . Stochastic programming , Chichester : John Wiley & Sons .
- Lasdon , L. S. 1970 . Optimization theory for large systems , New York : MaxMillan .
- Lohmander , P. (2001) . On risk and uncertainty in forest management planning systems . In Proceedings of SNS Meeting: Nordic Trends in Forest Inventory, Management Planning and Modelling , Solvalla, Finland .
- Lu , F. 2004 . Optimization of forest management decision making under conditions of risk. Acta Universitatis Agriculturae Sueciae, Silvestria 333 , Umeå : Department of Forest Economics, Swedish University of Agricultural Sciences .
- Lämås , T. and Eriksson , L. O. 2003 . Analysis and planning systems for multi-resource, sustainable forestry—The Heureka research programme at SLU . Canadian Journal of Forest Research , 33 : 500 – 508 .
- Manley , B. (1996) . Application of the IFS/FOLPI forest estate modelling system to large-scale forestry scenario modelling in New Zealand . In R. Päivinen , L. Roihuvuo & M. Siitonen (Eds.) , EFI Proceedings No. 5 (pp. 133 – 141 ). Proceedings of the international seminar and summer school: Large-scale forestry scenario models: Experiences and requirements , Joensuu , Finland , 15–22 June 1995 . Joensuu : European Forest Institute .
- Meilby , H. , Strange , N. and Thorsen , B. J. 2001 . Optimal spatial harvest planning under risk of windthrow . Forest Ecology and Management , 149 : 15 – 31 .
- Nazareth , L. 1980 . A land management model using Dantzig–Wolfe decomposition . Management Science , 26 : 510 – 523 .
- Næsset , E. , Gobakken , T. and Hoen , H.F. 1997 . Economic analysis of timber management practices promoting preservation of biological diversity . Scandinavian Journal of Forest Research , 12 : 264 – 272 .
- Peltola , J. and Knapp , K. C. 2001 . Recursive preferences in forest management . Forest Science , 47 : 455 – 465 .
- Sallnäs , O. and Eriksson , L. O. 1989 . Management variation and price expectations in an intertemporal forest sector model . Natural Resource Modeling , 3 : 385 – 398 .
- Siitonen , M. 1995 . The MELA system as a forestry modelling framework . Lesnictvi-Forestry , 41 : 173 – 178 .
- Ståhl , G. , Carlsson , D. and Bondesson , L. 1994 . A method to determine optimal stand data acquisition policies . Forest Science , 40 : 630 – 649 .