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surveyed 3 times are indicated by the 1-3). This split panel design has been shown to provide the <br />most power for estimating status and trend (Urquhart and Kincaid 1999, Breidt and Fuller 1999). <br />The total number of panels is 5, the sum of the numbers in the string of the McDonald (2003) <br />notation. Since most biological monitoring is conducted on an annual basis, this translates to one <br />pure panel visited every year and four rotating panels each visited once every four years. The <br />revisit design of the rotating panel was planned so that every panel will be visited three times <br />during the First Increment of the Program. <br />Monitoring membership design - The meinbership design specifies the selection of sample units <br />for each panel (McDonald 2003). The tenninology commonly associated with probability-based <br />statistical sampling is appropriate at this level of the design. Common probability-based <br />membership designs include simple random sampling, stratified sampling, and systematic <br />sampling. The importance of using probability-based sampling in a long term monitoring study <br />can not be overemphasized (Edwards 1998). The probability-based sample will enable unbiased <br />estimation of ecological parameters and variances with well defined inferences (Thompson 1992, <br />Peterson et al. 1992). <br />A probability-based sample can include units in the sample with equal or unequal probability. <br />The use of an equal probability sample for collecting natural resource monitoring data will give <br />the widest range of statistical analysis options (McDonald 2003). The sample of units to be <br />included in a panel for the biological response monitoring under the IMRP will be based on a <br />systematic sample in space. Systematic placeinent of sample units within the study area will <br />ensure that the estimates will be representative of the entire study area (Thompson 1992, <br />Peterson et al. 1992). <br />This survey design has defined a sample unit to be any point along the centerline of the widest <br />channel of the central Platte River as it traverses through the study area (Figure 13). The river <br />can be viewed as a one-dimensional feature in two-dimensional space. The number of points in <br />the population of points along the centerline of the river is infinite. An equal probability sample <br />of points from this infinite population will provide "anchors" for data collection. These anchor <br />points will serve as the sample units for a broad range of sampling activities. For example, some <br />studies may sample along a transect crossing through the anchor point and perpendicular to the <br />flow of the river while another study may sample a plot of land adjacent to the river on the <br />nearest exposed land north of the anchor point. This sample unit was selected to encompass all <br />surveys for a river-focused Program into one survey design. <br />One sample of anchor points will be used to co-locate all research and monitoring studies. This <br />systematically placed set of anchor points will facilitate correlations between the monitoring <br />components. The spatial intensity of sampling far each study can be increased or decreased <br />within the framework of the sample points (e.g. 1 point every 1/4 mile, 1 point every 8 miles). <br />Any point along the centerline had an equal probability of inclusion in the sample of population <br />units. <br />A set of anchor points was systematically placed (i.e. equally spaced based on a random starting <br />point) along a defined centerline of the river during the July 1997 Cooperative Agreement <br />(Figure 13). The U.S. Arniy Corps of Engineers (COE) navigational maps and 1998 color <br />September 1, 2006 Adaptive Management Plan 34