Integrating fire risk in stand management scheduling. An application to Maritime pine stands in Portugal

Annals of Operations Research

Volumn 219, Issue 1, 2014, Pages 379-395

  Garcia Gonzalo, J ^a   Pukkala, T ^b   Borges, J G ^a  

^a INSTITUTO SUPERIOR DE AGRONOMIA   (Portugal)

^b UNIVERSITY OF EASTERN FINLAND   (Finland)

Author keywords

Forest planning; Fuel treatment; Optimization; Pinus pinaster Ait; Simulation optimization system; Wildfire risk

Indexed keywords

EID: 84904566733     PISSN: 02545330     EISSN: 15729338     Source Type: Journal    
DOI: 10.1007/s10479-011-0908-1     Document Type: Article

References (67)

1. Amacher, G. S., Ollikainen, M., & Koskella, E. (2009). Economics of forest resources (397 p.). Cambridge: MIT Press.
2. Amacher, G., Malik, A., & Haight, R. (2005). Not getting burned: the importance of fire prevention in forest management. Land Economics, 81(2), 284-302.
3. Bazaraa, M. S., Sherali, H. D., & Shetty, C. M. (1993). Nonlinear programming. Theory and algorithms (2nd ed.). Hoboken: Wiley (ISBN 0-471-55793-5). 639 p.
4. Bayer, H.-G., & Schwefel, H.-P. (2002). Evolution strategies. A comprehensive introduction. Natural Computing, 1, 3-52.
5. Botequim, B., Borges, P., Carreiras, J., Oliveira, M. M. O., & Borges, J. (2009). Development of a shrub growth model in understory conditions (preliminary model) (Technical Report-7). FORCHANGE, Instituto Superior de Agronomia, Lisboa.
6. Borges, J. G., & Falcão, A. (1999). Programação dinâmica e gestão de povoamentos com estrutura regular e composição pura. Aplicação à Mata Nacional de Leiria. Revista Florestal, XII(1/2), 69-82.
7. Brazee, R., & Mendelsohn, R. (1988). Timber harvesting with fluctuating prices. Forest Science, 34, 359-372.
8. Bright, G., & Price, C. (2000). Valuing forest land under hazards to crop survival. Forestry, 73(4), 361-370.
9. Brodie, J. D., & Kao, C. (1979). Optimizing thinning in Douglas-fir with three-descriptor dynamic programming to account for accelerated diameter growth. Forest Science, 25(4), 665-672.
10. Buongiorno, J., & Gilless, J. K. (1987). Forest management and economics: a primer in quantitative methods (biological resource management). (285 p.). New York: Macmillan, ISBN: 9780029487402.
11. Castro, F. X., Tudela, A., & Sebastia, M. T. (2003). Modelling moisture content in shrubs to predict fire risk in Catalonia (Spain). Agricultural and Forest Meteorology, 116, 49-59.
12. Cauldfield, J. P. (1988). A stochastic efficiency approach for determining the economic rotation of a forest stand. Forest Science, 34(2), 441-457.
13. Davis, L. S., Johnson, K. N., Bettinger, P. S., & Howard, T. E. (2001). Forest management to sustain ecological, economic, and social values (4th ed.) New York: McGraw-Hill.
14. a Revisão, Direcção-Geral dos Recursos Florestais, Lisboa, 70 pp.
15. Dickinson, M. B., & Johnson, E. A. (2001). Fire effects on trees. In E. A. Johnson & K. Miyanishi (Eds.), Forest fires: behavior and ecological effects (pp. 477-525). San Francisco: Academic Press.
16. Dieter, M. (2001). Land expectation values for spruce and beech calculated with Monte Carlo modelling techniques. Forest Policy and Economics, 2, 157-166.
17. Englin, J. P., Boxall, P., & Hauer, G. (2000). An empirical examination of optimal rotations in a multiple-use forest in the presence of fire risk. Journal of Agricultural and Resource Economics, 25, 14-27.
18. Falcão, A. (1999). DUNAS-A growth model for the National Forest of Leiria. In Proceedings of IUFRO workshop empirical and process-based models for forest tree and stand growth simulation, 21-27 Setembro 1997, Oeiras.
19. Fernandes, P. A. M. (2001). Fire spread prediction in shrub fuels in Portugal. 2001. Forest Ecology and Management, 144(1-3), 67-74.
20. Fernandes, P. M., & Rigolot, E. (2007). The fire ecology and management of maritime pine (Pinus pinaster Ait.). Forest Ecology and Management, 241, 1-13.
21. Ferreira, L., Constantino, M., & Borges, J. G. (2011a). A stochastic approach to optimize Maritime pine (Pinus pinaster Ait.) stand management scheduling under fire risk. An application in Portugal. Annals of Operation Research doi: 10. 1007/s10479-011-0845-z (Published online January 2011).
22. Ferreira, L., Constantino, M., Borges, J. G., & Garcia-Gonzalo, J. (2011b). A stochastic dynamic programming approach to optimize short-rotation coppice systems management scheduling. An application to eucalypt plantations under wild re risk in Portugal. Submitted manuscript.
23. Finney, M. A. (1994). Modeling the spread and behavior of prescribed natural fires. In Proc. 12th international conference on fire and forest meteorology. (pp. 138-143). 26-28 October 1993, Jekyll Island, GA. Soc. Am. For.
24. Garcia-Gonzalo, J., Marques, S., Borges, J. G., Botequim, B., Oliveira, M. M., Tomé, J., & Tomé, M. (2011). A three-step approach to post-fire mortality modelling in Maritime pine (Pinus pinaster Ait) stands for enhanced forest planning in Portugal. Forestry. doi: 10. 1093/forestry/CPR006.
25. González, J. R., Palahí, M., Trasobares, T., & Pukkala, T. (2005a). A fire probability model for forest stands in Catalonia (north-east Spain). Annals of Forest Science63: 169-176.
26. González-Olabarría, J. R., Pukkala, T., & Palahí, M., (2005b). Optimising the management of Pinus sylvestris L. stand under risk of fire in Catalonia (north-east of Spain). Annals of Forest Science62: 493-501.
27. González, J. R., Trasobares, T., Palahí, M., & Pukkala, T. (2007). Predicting stand damage and tree survival in burned forests in Catalonia (North-East Spain). Annals of Forest Science, 64, 733-742.
28. González-Olabarría, J. R., Palahí, M., Pukkala, T., & Trasobares, A. (2008). Optimising the management of Pinus nigra Arn. stands under endogenous risk of fire in Catalonia. Investigaciones Agrarias: Sistemas y Recursos Forestales, 17(1), 10-17.
29. Hély, C., Bergeron, Y., & Flannigan, M. D. (2003). Modeling tree mortality following wildfire in the southeastern Canadian mixed-wood boreal forest. Forest Science, 49, 566-576.
30. Hooke, R., & Jeeves, T. A. (1961). "Direct search" solution of numerical and statistical problems. Journal of the Association for Computing Machinery, 8, 212-229.
31. Hyytiäinen, K. (2003). Integrating economics and ecology in stand-level timber production. Finnish Forest Research Institute, Research Papers 908: 42 pp.
32. Kao, C. (1982). Optimal stocking levels and rotation under risk. Forest Science, 28(4), 711-719.
33. Kao, C., & Brodie, J. D. (1979). Determination of optimal thinning entry interval using dynamic programming. Forest Science, 25, 672-674.
34. Keely, J. E. (2009). Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire, 18, 116-126.
35. Keyes, C. R., & O'Hara, K. L. (2002). Quantifying stand targets for silvicultural prevention of crown fires. Western Journal of Applied Forestry17(2): 101-109.
36. Kennedy, J., & Eberhart, R. C. (1995). Particle swarm optimization. In Proceedings of the 1995 IEEE international conference on neural networks, Perth, Australia, IEEE Service Center, Piscataway, NJ, IV. pp. 1942-1948.
37. Lohmander, P., & Helles, F. (1987). Windthrow probability as a function of stand characteristics and shelter. Scandinavian Journal of Forest Research, 2(2), 227-238.
38. Marques, S., Borges, J. G., Garcia-Gonzalo, J., Moreira, F., Carreiras, J. M. B., Oliveira, M. M., Cantarinha, A., Botequim, B., & Pereira, J. M. C. (2011a). Characterization of wildfires in Portugal. Eur. J. Forest Res. doi: 10. 1007/s10342-010-0470-4.
39. Marques, S., Botequim, B., Garcia-Gonzalo, J., Borges, J. G., Tomé, M., & Oliveira, M. M. (2011b). Assessing wildfire risk probability in Pinus pinaster Ait. stands in Portugal. Submitted manuscript.
40. Martell, D. L. (1980). The optimal rotation of a flammable forest stand. Canadian Journal of Forest Research, 10, 30-34.
41. Martell, D. L. (2007). In A. Weintraub, C. Romero, T. Bjorndal, & R. Epstein (Eds.), Forest fire management, handbook of operations research in natural resources (pp. 489-510). Berlin: Springer.
42. McDill, M. E., & Amateis, R. L. (1992). Measuring forest site quality using the parameters of a dimensionally compatible height growth function. Forest Science, 38(2), 409-429.
43. Miina, J. (1996). Optimising thinning and rotation in a stand of Pinus sylvestris on a drained peatland site. Scandinavian Journal of Forest Research11(1): 182-192.
44. Miina J., (1998). Preparation of management models using simulation and optimisation. In Pukkala T., Eerikäinen K. (Eds.), Tree seedling production and management of plantation forests, University of Joensuu, Faculty of Forestry, Research Notes 68, pp. 165-180.
45. Moreira, F., & Russo, D. (2007). Modelling the impact of agricultural abandonment and wildfires on vertebrate diversity in Mediterranean Europe. Landscape Ecology, 22, 1461-1476.
46. Möykkynen, T., Miina, J., & Pukkala, T. (2000). Optimising the management of a Picea abies stand under risk of butt rot. Forest Pathology, 30, 65-76.
47. Nelder, J. A., & Mead, R. (1965). A simplex method for function minimization. The Computer Journal, 7, 308-313.
48. Palahí, M., & Pukkala, T. (2003). Optimising the management of Scots pine (Pinus sylvestris L.) stands in Spain based on individual-tree models. Annals of Forest Science, 60, 105-114.
49. Pasalodos-Tato, M., Pukkala, T., & Castedo-Dorado, F. (2009). Models for the optimal management of Pinus radiata D. Don in Galicia (north-western Spain) under risk of fire. Allgemeine Forst und Jagdzeitung, 180, 238-249.
50. Pasalodos-Tato, M., Pukkala, T., & Rojo Alboreca, A. (2010). Optimal management of Pinus pinaster in Galicia (north-western Spain) under endogenous risk of fire. Int. J. Wildland Fire. In press.
51. Pollet, J., & Omi, P. N. (2002). Effect of thinning and prescribed burning on wildfire severity in ponderosa pine forests. International Journal of Wildland Fire, 11, 1-10.
52. Pukkala, T., & Miina, J. (1997). A method for stochastic multiobjective optimisation of stand management. Forest Ecology and Management, 98, 189-203.
53. Pukkala, T. (2009). Population-based methods in the optimization of stand management. Silva Fennica, 43(2), 261-274.
54. Reed, W. J. (1984). The effect of risk of fire on the optimal rotation of a forest. Journal of Environmental Economics and Management, 11(2), 180-190.
55. Reed, W. J. (1987). Protecting a forest against fire: optimal protection patterns and harvest policies. Natural Resources Modeling, 2, 23-53.
56. Reed, W. J. (1993). The decision to conserve or harvest old-growth forest. Ecological Economics, 8(1), 45-69.
57. Reed, W. J., & Errico, D. (1985). Assessing the long-run yield of a forest stand subject to the risk of fire. Canadian Journal of Forest Research, 15(4), 680-687.
58. Roise, J. P. (1986). An approach to optimizing residual diameter class distributions when thinning even-aged stands. Forest Science, 32, 871-881.
59. Routledge, R. D. (1980). The effect of potential catastrophic mortality and others unpredictable events on optimal forest rotation policy. Forest Science, 26(3), 389-399.
60. Simões, S. M. (2006). Expansão ao Alentejo e Algarve de uma curva de acumulaçao pós-fogo para a biomassa arbustiva. Tese de Mestrado, Instituto Superior de Agronomia, Universidade Técinica de Lisboa, Lisboa.
61. Storn, R., & Price, K. (1997). Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization, 11, 341-359.
62. Thorsen, B. J., & Helles, F. (1998). Optimal stand management with endogenous risk of sudden destruction. Forest Ecology and Management, 108, 287-299.
63. van Wagner, C. E. (1973). Height of crown scorch in forest fires. Canadian Journal of Forest Research3: 373-378.
64. van Wagner, C. E. (1977). Conditions for the start and spread of crown fire. Canadian Journal of Forest Research, 7, 23-34.
65. Valsta, L. T. (1990). A comparison of numerical methods for optimizing even aged stand management. Canadian Journal of Forest Research, 20, 961-969.
66. Vélez, R. (2002). Causes of fires in the Mediterranean Basin. In EFI proceedings (Vol. 45, pp. 35-42).
67. Vega, J. A. (2001). Efectos del fuego prescrito sobre el suelo en pinares de Pinus pinaster Ait. de Galicia. PhD Thesis, Universidad Politécnica de Madrid, ETSIM, Madrid.