Evaluation of two risk mitigation strategies for dealing with fire-related uncertainty in timber supply modelling

Canadian Journal of Forest Research

Volumn 40, Issue 6, 2010, Pages 1136-1154

  Savage, David W ^a   Martell, David L ^a   Mike Wotton, B ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b LAURENTIAN FORESTRY CENTRE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BURN FRACTION; FIRE ACTIVITY; FIRE REGIMES; FIRE RISKS; FOREST MANAGERS; HARVEST SCHEDULE; HARVEST SCHEDULING MODEL; HARVEST VOLUMES; PLANNING HORIZONS; PLANNING MODELS; RE-PLANNING; RISK MITIGATION STRATEGY; STOCHASTIC SIMULATION MODEL; TIMBER HARVESTS; TIMBER SUPPLY;

COMPUTER SIMULATION; DECISION MAKING; FIRES; HARVESTING; LINEARIZATION; MANAGERS; RISK ANALYSIS; RISK ASSESSMENT; SAFETY FACTOR; SCHEDULING; STOCHASTIC MODELS; TIMBER; UNCERTAINTY ANALYSIS;

FORESTRY;

DECISION MAKING; ECOLOGICAL MODELING; FIRE MANAGEMENT; FOREST FIRE; FOREST MANAGEMENT; FORESTRY MODELING; LINEAR PROGRAMING; MITIGATION; RISK ASSESSMENT; STOCHASTICITY; STRATEGIC APPROACH; TIMBER HARVESTING;

DECISION MAKING; FIRES; FORESTRY; FORESTS; HARVESTING; RISK ASSESSMENT; SAFETY; SCHEDULING; SIMULATION;

EID: 77953228875     PISSN: 00455067     EISSN: None     Source Type: Journal    
DOI: 10.1139/X10-065     Document Type: Article

References (35)

1. Armstrong, G.W. 2004. Sustainability of timber supply considering the risk of wildfire. For. Sci. 50: 626-639.
2. Armstrong, G.W., Beck, J.A., Jr., and Phillips, B.L. 1984. Relaxing even-flow constraints to avoid infeasibility with the timber resources allocation method. Can. J. For. Res. 14(6): 860-863. doi:10.1139/x84-153.
3. ASRD. 2006. Alberta forest management planning standard [on-line]. Version 4.1. Forest Management Branch, Public Lands and Forests Division, Alberta Sustainable Resource Development. Available from http://www.srd.alberta.ca/ManagingPrograms/ForestManagement/documents/Alberta_Forest_Management_Planning_Standard_Version_4_1_April_2006_Final_2.pdf [accessed 2 September 2008].
4. Boychuk, D.B., and Martell, D.L. 1996. A multistage stochastic programming model for sustainable forest-level timber supply under risk of fire. For. Sci. 42(1): 10-26.
5. Chappelle, D.E., and Sassaman, R.W. 1968. A computer program for scheduling allowable cut using either area or volume regulation during sequential planning periods. USDA For. Serv. Res. Note PNW-93.
6. Cumming, S.G. 2001. A parametric model of the fire-size distribution. Can. J. For. Res. 31(8): 1297-1303. doi:10.1139/cjfr-31-8-1297.
7. Cunningham, A.A., and Martell, D.L. 1973. A stochastic model for the occurrence of man-caused forest fires. Can. J. For. Res. 3(2): 282-287. doi:10.1139/x73-038.
8. Davis, L., Johnson, K.N., Bettinger, P., and Howard, T. 2000. Forest management. 4th ed. McGraw Hill Publishing, New York
9. Dempster, W.R., and Stevens, N.A. 1987. Risk management in forest planning. Forestry Canada/Alberta Forest Service, Can.-AB For. Res. Dev. Agmt., No. FO 42-91-17-1987E, Edmonton, Alta., Canada.
10. Flannigan, M.D., and Van Wagner, C.E. 1991. Climate change and wildfire in Canada. Can. J. For. Res. 21(1): 66-72. doi:10.1139/ x91-010.
11. Flannigan, M.D., Logan, K.A., Amiro, B.D., Skinner, W.R., and Stocks, B.J. 2005. Future area burned in Canada. Climatic Change, 72(1-2): 1-16. doi:10.1007/s10584-005-5935-y
12. Garcia, O. 1984. FOLPI: a forestry-oriented linear programming interpreter. In Proceedings, IUFRO Symposium on Forest Management Planning and Managerial Economics, Tokyo, Japan, 15-19 October 1984. Edited by H. Nagumo, Y. Konohira, S. Kobayashi, M. Monowa, K. Nishikawa, K. Naito, T. Sweda, M. Amano, and K. Tanaka. University of Tokyo, Japan. pp. 293-305.
13. Gassman, H.I. 1989. Optimal harvest of a forest in the presence of uncertainty. Can. J. For. Res. 19: 1267-1274. doi:10.1139/x89-193.
14. Gunn, E.A. 1991. Some aspects of hierarchical production planning in forest management. In Proceedings of the 1991 Symposium on Systems Analysis in Forest Resources, Charleston, South Carolina, 3-6 March 1991. Edited by M. Buford. USDA For. Serv. Gen. Tech. Rep. SE-74. pp. 54-62.
15. Gunn, E.A., and Rai, A.K. 1987. Modelling and decomposition for planning long-term forest harvesting in an integrated industry structure. Can. J. For. Res. 17(12): 1507-1518. doi:10.1139/x87-233.
16. Hannon, P.M., and Dahiya, R.C. 1999. Estimation of parameters for the truncated exponential distribution. Commun. Stat. Theory Methods, 28(11): 2591-2612. doi:10.1080/03610929908832440
17. Ihaka, R., and Gentleman, R. 1996. R: a language for data analysis and graphics. J. Comput. Graph. Statist. 5(3): 299-314. doi:10. 2307/1390807.
18. ILOG. 2007. ILOG OPL development studio. Version 5.2. Paris, France.
19. Jensen, P.A., and Bard, J.F. 2003. Operations research models and methods. John Wiley & Sons, New York.
20. Johnson, K.N., and Scheurman, H.L. 1977. Techniques for pre-scribing optimal timber harvest and investment under different objectives-discussion and synthesis. For. Sci. Mono. No. 18. Society of American Foresters, Bethesda, Md.
21. Law, A.M., and Kelton, W.D. 2003. Simulation modeling and analysis. Tata McGraw-Hill, New Delhi, India.
22. Martell, D.L. 1994. The impact of fire on timber supply in Ontario. For. Chron. 70: 164-173.
23. Martell, D.L. 2007. Fifty years of OR in Forestry. INFOR, 45: 5-7
24. Martell, D.L., and Sun, H. 2008. The impact of fire suppression, vegetation and weather on the area burned by lightning-caused forest fires in Ontario. Can. J. For. Res. 38(6): 1547-1563. doi:10.1139/X07-210.
25. McQuillan, A.G. 1986. The declining even flow effect-non sequitur of national forest planning. For. Sci. 32(4): 960-972
26. OMNR. 2004. Forest management planning manual for Ontario's crown forests. Queen's Printer for Ontario, Toronto, Ont., Canada
27. OMNR. 2007. Strategic forest management model. Software version 3.2. Queen's Printer for Ontario, Toronto, Ont., Canada
28. Peter, B., and Nelson, J. 2005. Estimating harvest schedules and profitability under the risk of fire disturbance. Can. J. For. Res. 35(6): 1378-1388. doi:10.1139/x05-073.
29. Python Software Foundation. 2005. Python programming language [online]. Available from http://www.python.org accessed 30 March 2005.
30. Reed, W.J., and Errico, D. 1986. Optimal harvest scheduling at the forest level in the presence of the risk of fire. Can. J. For. Res. 16(2): 266-278. doi:10.1139/x86-047.
31. Ross, S.M. 1989. Introduction to probability models. 4th ed. Academic Press, San Diego, California.
32. Stankey, G.H., Clark, R.N., and Bormann, B.T. 2005. Adaptive management of natural resources: theory, concepts, and management institutions. USDA For. Serv. Gen. Tech. Rep. PNW-GTR-654.
33. Stocks, B.J., Mason, J.A., Todd, J.B., Bosch, E.M., Wotton, B.M., Amiro, B.D., Flannigan, M.D., Hirsch, K.G., Logan, K.A., Martell, D.L., and Skinner, W.R. 2002. Large forest fires in Canada, 1959-1997. J. Geophys. Res., Atmos. 108. doi:10.1029/2001JD000484.
34. Van Wagner, C.E. 1983. Simulating the effect of forest fire on long-term annual timber supply. Can. J. For. Res. 13(3): 451-457. doi:10.1139/x83-068.
35. Williams, B.K. 1989. Review of dynamic optimization methods in renewable natural resource management. Nat. Resour. Model. 3(2): 137-216.