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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Predicting Regeneration Establishment With The Prognosis Model, United States Department Of Agriculture, Forest Service
Predicting Regeneration Establishment With The Prognosis Model, United States Department Of Agriculture, Forest Service
Forestry
Conifer establishment following regeneration timber harvests is predicted by version 2 of the Regeneration Establishment Model, a submodel of the Prognosis Model. The regeneration model covers 10 species for forests in Montana, central Idaho, and northern Idaho. Most harvest and site preparation methods can be simulated so that alternative treatments can be evaluated. Also included in the model is the influence of western spruce budworm (Choristoneura accidentalis) on regeneration success. The model predicts the probability of stocking, seedling density, species composition, and seedling heights 2 to 20 years after harvest. This paper describes the study design, equation development, model formulation, …
Predicting Equilibrium Moisture Content Of Some Foliar Forest Litter In The Northern Rocky Mountains, United States Department Of Agriculture, Forest Service
Predicting Equilibrium Moisture Content Of Some Foliar Forest Litter In The Northern Rocky Mountains, United States Department Of Agriculture, Forest Service
Forestry
Forest foliage that comprises much of the forest floor litter has higher equilibrium moisture content, EMC, than woody components. The EMC's at 300 degrees K were found to increase as follows: grasses < fir-spruce needles < pine-cedar needles < aspen leaves-larch needles. Equations that express Gibbs free energy associated with moisture content were used to develop regression equations that predict the EMC's from temperature and relative humidity, RH, for temperatures between 278 degrees K (40 degrees F) and 322 degrees K (120 degrees F) and RH's between 10 and 90 percent.
Evaluating Statistical Techniques For Predicting And Interpreting Forplan Results, United States Department Of Agriculture, Forest Service
Evaluating Statistical Techniques For Predicting And Interpreting Forplan Results, United States Department Of Agriculture, Forest Service
Forestry
Two approaches using multiple linear regression for analyzing the effects of management constraints on an objective function in FORPLAN were tested on three National Forests. The two approaches, ordinary least squares regression and ordinary least squares using principal components, provide some degree of success in predicting objective function values, but very little information for interpreting the effects of the constraints on objective function values.
Predicting Duff And Woody Fuel Consumed By Prescribed Fire In The Northern Rocky Mountains, United States Department Of Agriculture, Forest Service
Predicting Duff And Woody Fuel Consumed By Prescribed Fire In The Northern Rocky Mountains, United States Department Of Agriculture, Forest Service
Forestry
This paper presents numerical relationships of known precision for predicting duff consumption. They were established by assembling and analyzing data from three previous prescribed fire investigations and then testing them against other published data. Fuel loadings by diameter classes that differed among the studies were converted to a common set of diameter classes. The purpose of assimilating data from several studies was to develop predictive models that could be easily used by practitioners and that would apply over a wide range of conditions.
Predicting Slash Depth For Fire Modeling, United States Department Of Agriculture, Forest Service
Predicting Slash Depth For Fire Modeling, United States Department Of Agriculture, Forest Service
Forestry
Slash or debris created by harvesting and thinning are a major fire management problem because these residues can create unacceptable fire behavior hazards. Treating slash to maintain an acceptable fire hazard is expensive and requires skillful decisionmaking. An inexpensive, simple-to-use, yet objective means of appraising the potential fire behavior of slash is added to aid decisions in managing slash. Knowledge of potential fire behavior can help determine treatment alternatives, the financing of slash treatment activities, and even determine whether the slash should be created. This report describes a method for predicting depth of slash fuels for analytical modeling of fire …