Management of the risk of wind damage in forestry: a graph-based Markov decision process approach
2011
Forsell, Nicklas | Wikström, Peder | Garcia, Frederick | Sabbadin, Régis | Blennow, Kristina | Eriksson, Ljusk Ola | Centre de Mathématiques Appliquées (CMA) ; Mines Paris - PSL (École nationale supérieure des mines de Paris) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) | Department of Forest Resource Management ; Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet (SLU) | Unité de Biométrie et Intelligence Artificielle (ancêtre de MIAT) (UBIA) ; Institut National de la Recherche Agronomique (INRA) | Southern Swedish Forest Research Centre ; Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet (SLU)
International audience
Mostrar más [+] Menos [-]Inglés. This study deals with the problem of including the risk of wind damage in long-term forestry management. A model based on Graph-Based Markov Decision Processes (GMDP) is suggested for development of silvicultural management policies. The model can both take stochastic wind events into account and be applied to forest estates containing a large number of stands. The model is demonstrated for a forest estate in southern Sweden. Treatment of the stands according to the management policy specified by the GMDP model increased the expected net present value (NPV) of the whole forest only slightly, less than 2%, under different wind-risk assumptions. Most of the stands were managed in the same manner as when the risk of wind damage was not considered. For the stands that were treated differently, however, the expected NPV increased by 3% to 8%.
Mostrar más [+] Menos [-]Palabras clave de AGROVOC
Información bibliográfica
Este registro bibliográfico ha sido proporcionado por Institut national de la recherche agronomique