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Comparative Evaluation of Accuracy and Efficiency of Six <br />Forest Sampling Methods <br />Jeffrey C. Sparks' and Ronald E. Masters2 <br />Department of Forestry, Oklahoma State University, Stillwater, OK 74078 <br />Mark E. Payton <br />Department of Statistics, Oklahoma State University, Stillwater, OK 74078 <br />'Current address: Texas Parks and Wildlife Department, Tyler, TX 75707 <br />2Current address: Tall Timbers Research Station, Tallahassee, FL 32312 <br />We compared estimates of woody stem density with known stem densities in <br />three forest stands in southeast Oklahoma by using fixed -radius plots 3.64 m <br />radius (0.01 acre; FRPs-AC), fixed -radius plots 5.64 m radius (0.01 ha; FRPs-HA); <br />10 m X 10 m quadrat (0.01 ha; QUAD), variable -radius plot (VRP), point -centered <br />quarter (PCQ), and belt transect (BT) sampling techniques. These stands varied <br />in stem density and were categorized as high, moderate, and low density stands. <br />We found that FRPs were the most time -efficient and produced the most accurate <br />estimates regardless of stem size. The VRP and PCQ methods were also time - <br />efficient, but tended to underestimate actual stem density. Although FRPs of <br />suitable size are accurate for large diameter stems in dense forest, time <br />constraints limit applicability. We recommend using FRPs for small stems [(2.54- <br />11.42 cm diameter breast height (DBH)] and VRPs for large stems (>11.43 cm <br />DBH). These methods with appropriate sample sizes should be applied after <br />pre -sampling has been completed to determine sampling variance. This <br />combination of methodologies provides a quick and relatively accurate manner <br />to characterize or monitor change in the wide range of forest conditions found <br />in Oklahoma. ©2002 Oklahoma Academy of Science <br />INTRODUCTION <br />Quantitative data are essential to adequately <br />characterize the woody component of forest <br />communities (1,2). Some form of sampling <br />is required because total counts of in- <br />dividuals in naturally occurring plant <br />populations are generally impractical <br />without an exhaustive expenditure of energy <br />and resources (3). A number of sampling <br />techniques are available to quantify forest <br />communities. These techniques vary in <br />quantitative capabilities, equipment re- <br />quired, and time necessary to obtain an <br />adequate sample for statistical analysis (4,5). <br />Obtaining adequate information with <br />minimum effort and time is a major concern <br />when sampling vegetation (4,5). <br />Variable radius plot (VRP), fixed radius <br />plot (FRP), point -centered quarter (PCQ), <br />belt transect (BT), and 10 m X 10 m plots <br />(QUAD) are sampling methods commonly <br />used to quantify forest vegetation (2-6). The <br />purpose of this study was to determine the <br />best sampling method for use in widely <br />varying forest conditions that would <br />adequately characterize forest communities <br />in Oklahoma for the purpose of monitoring <br />change in the woody component following <br />either experimental manipulation or land <br />use change. Our primary objective was to <br />compare the accuracy of estimates of woody <br />stem density for six forest sampling tech- <br />niques under widely varying stand den- <br />sities. A second objective was to compare <br />Proc. Okla. Acad. Sci. 82:49-56(2002) <br />