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DATA ANALXSIS <br />A data Luse mianagement and analysis system eras developed on a CYBER 172 <br />~mauter to analyze vegetation data ~llected during this study. Data <br />~ were input via keypunched cards that had been double punched and verified <br />for accuracy. Raw data print-outs were formatted like the original field <br />data sheets to facilitate additional data verification. <br />The procedures and formulae used to analyze vegetation production, cover, <br />frequency, shrub height and density and basal area data are summarized <br />in Flyaming DEQ cy,;deline #2, 1979 edition. Data analysis results are <br />presented by species and life form for each sampling point (e.g., cover <br />quadrat) or transect and summarized for all sample points or transects <br />within a particular vegetation type. Statistical methods used in the <br />analysis such as calculation of Weans and standard deviations and <br />application of linear regression techniques to size/age data for aspen <br />and selected shrubs are standard, well-documented techniques (Snedecor <br />and Cochran, 1967). Analysis results are formatted in tabular form to <br />C• facilitate access and interpretation. <br />Tree densities were calculated from transect point-tree distances using <br />the method outlined by Smdth (1974): <br />1. All point-tree distances in the sample were summed and divided by <br />the total number of distances to obtain a Wean distance of point <br />to tree: <br />Mean distance = total distance <br />numd~er of distances <br />2. The mean distance was squared to obtain the Wean area covered on <br />the ground per tree. <br />3. The total number of trees per acre was then determined by dividing <br />43,560 ft2 (number of ft2 in an acre) by the m`an area per tree. <br />Application of this technique to transect point-tree distances to <br />( • determine tree densities is illustrated by the following example: <br />-15- <br />