Forest Simulators
نویسندگان
چکیده
Clark, C. W., and M. Mangel. 2000. Dynamic state variable models in ecology: methods and applications. Oxford: Oxford University Press. Giraldeau, L.-A., and T. Caraco. 2000. Social foraging theory. Princeton: Princeton University Press. Houston, A. I., and J. M. McNamara. 1999. Models of adaptive behaviour: an approach based on state. Cambridge, UK: Cambridge University Press. Stephens, D. W., J. S. Brown, and R. C. Ydenberg, eds. 2007. Foraging: behavior and ecology. Chicago: University of Chicago Press. Stephens, D. W., and A. S. Dunlap. 2008. Foraging. In R. Menzel, ed. Learning theory and behavior. Oxford: Elsevier. Stephens, D. W., and J. R. Krebs. 1986. Foraging theory. Princeton: Princeton University Press.
منابع مشابه
Extrapolation of Forest Structure Estimates That Used Sar and Lidar to Areas with No Lidar
The horizontal and vertical (3D) structure of Earth’s forested ecosystems are of great significance to their ecological functioning and societal uses. Recent research suggests that using LIDAR, SAR, INSAR and optical multi-spectral (VIR) together can allow one to obtain accurate estimates of parameters for forest 3D structure and biomass. However, the spatial coverage that can be expected of a ...
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Various types of 3D simulation applications benefit from realistic forest models. They range from flight simulators for entertainment to harvester simulators for training and tree growth simulations for research and planning. Our 4D forest simulation and information system integrates the necessary methods for data extraction, modelling and management. Using modern methods of semantic world mode...
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In spatiotemporal planning, agents choose actions at multiple locations in space over some planning horizon to maximize their utility and satisfy various constraints. In forestry planning, for example, the problem is to choose actions for thousands of locations in the forest each year. The actions at each location could include harvesting trees, treating trees against disease and pests, or doin...
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CFD and forest growth simulators are very special systems that are difficult to handle and require specific knowledge in the addressed domains; furthermore, commonly provided visualizations of the results are hard to understand and analyze, in particular to people not so deeply involved in the specific area of expertise. The need for such simulations became clear in 2007 when the windstorm "Kyr...
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