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1 <br />1 <br /> <br />e <br />1 <br />1 <br />1 <br />1 <br />Table 3.6. Percent of each cover type at each levee removal site in August 1998 (based on three <br />transects per site). <br />Site Barren Native trees or shrubs Saltcedar Whitetop Other herbs <br />Bonanza 59 7 18 4 12 <br />Stirrup 43 6 18 8 25 <br />Horseshoe 83 2 6 1 7 <br />Baeser Bend 62 15 12 4 7 <br />Above Brennan 60 21 4 4 11 <br />J4 65 16 14 1 3 <br />Upper L7 66 11 10 3 26 <br />Lower L7 53 1 6 14 11 <br />Old Charley diked 44 13 8 3 32 <br />Site Characteristics Influencing the Distribution of Giant Whitetop <br />The discriminant function analysis identified three key variables that seem to strongly <br />influence the distribution of giant whitetop. These are relative topographic position, distance <br />along a meander wavelength, and distance to the river channel (in order of decreasing <br />significance). The partial r2 values and p-values are presented in Table 3.7. <br />Table 3.7. Variables affecting the distribution of giant whitetop. <br />Partial r' 12-value <br />Topographic position 0.35 <0.0001 <br />Distance along a meander wavelength 0.21 0.0032 <br />Distance to the river channel 0.10 0.0798 <br />Total r2 = 0.66 <br />By examining the values of our data for these three variables, we can identify the sites <br />that giant whitetop is most likely to invade. Our data showed that, on average, giant whitetop <br />occurs on upland sites that are on the outer edges of meanders at an average distance of 490 <br />meters from the river channel. The model created by the discriminant function analysis was <br />tested using a jackknife technique on the original 53 observations. This method estimated tha <br />our model will correctly predict the presence of giant whitetop 86% of the time, and it will <br />correctly predict its absence 70% of the time. 1 <br />28