Stochastic wildfire disturbance contributes to uncertainty in forest management planning.
In this study, a system composed of an optimizing forest estate model nested within a Monte
Carlo simulation model of stand replacing fires is used to investigate the impact stochastic
fire may have on the achievement of harvest level and old forest area targets. Two different
variations of the modelling system are used to test the impact a buffer stock of timber will
have on the probability of achieving these indicators targets. Preliminary results suggest
that a reduced harvest level may increase the probability of indicator achievement. However,
the immediate harvest level decrease necessary is high and there is still no assurance of
target achievement. Further, from a net present value perspective, most scenarios examined
showed a higher proft in the absence of a buffer stock. / Forest Biology and Management
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:AEU.10048/1815 |
| Date | 06 1900 |
| Creators | Conrod, Matthew |
| Contributors | Armstrong, Glen (Renewable Resources), Luckert, Marty (Rural Economy), Soung-Ryoul, Ryu (Renewable Resources) |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 1249514 bytes, application/pdf |
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