Excerpt from Prognosis Model for Stand Development
This paper describes a set of computer programs for combining quantitative silvicultural knowledge with past growth data from a sam pled stand to make a prognosis of the course of development that the forest stand is expected to follow under alternative management pre scriptions. An important design criterion of this procedure is that the prognosis model should apply to stands containing any mixture of Species or age and size classes that grow as a community. The model simulates the deviation-amplifying aspect of the growth pro cess by a unique procedure for introducing the stochastic elements in a deterministic computing algorithm. The growth rates predicted by the built-in models for diameter change are compared to the ao tual past growth of the sample trees to calibrate these models for the particular stand for which the prognosis is to be computed. Selection of trees to be cut at any period can utilize a variety of tree charac ters to emulate a wide range of silvicultural prescriptions.
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