Spatially explicit optimization of forest harvest and transportation system layout under steep slope conditions
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Thesis a Spatial Stochastic Programming Model for Timber and Core Area Management under Risk of Stand-replacing Fire
Forest harvest scheduling has been modeled using deterministic and stochastic programming models. Past models seldom address explicit spatial forest management concerns under the influence of natural disturbances. In this research study, we employ multistage full recourse stochastic programming models to explore the challenges and advantages of building spatial optimization models that account ...
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Economically optimal management of a continuous cover forest is considered here. Initially, there is a large number of trees of different sizes and the forest may contain several species. We want to optimize the harvest decisions over time, using continuous cover forestry, which is denoted by CCF. We maximize our objective function, the expected present value, with consideration of stochastic p...
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Competition for woody biomass between material and energy uses is expected to further increase in the future, due to the limited availability of forest resources and increasing demand of wood for material and bioenergy. Currently, methodological approaches for modeling wood production and delivery costs from forest to industrial gates are missing. This study combines forest engineering, geograp...
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Spatially-explicit harvest scheduling models optimize the spatiotemporal layout of forest management actions to best meet management objectives such as profit maximization, even flow of products, or wildlife habitat preservation while satisfying a variety of constraints. This investigation focuses on modeling maximum harvest opening size restrictions whose role is to limit the size of contiguou...
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تاریخ انتشار 2012