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<br />34 <br /> <br />is to estimate relative population changes. Bohlin <br />(1981) suggested the following method, applied to <br />SRS with no auxiliary variable: <br /> <br />^ ^ ^ <br />R = X/Y <br /> <br />(27) <br /> <br />^ ^ <br />where X and Y is from eo. (21). The approxi- <br />^ -" ^ <br />mate sampling variance VCR) of R is <br /> <br />VCR) = V(Y)X2 + V(X)y2 - 2rJV(Y)V(X)' XY <br />X4 <br />(28) <br /> <br />^ ^ ^ ^ <br />Here, V(Y) and VeX) is from eq. (22) and r is <br />the coefficient of correlation between x and y, <br />calculated in the usual way. Eq. (28) is approxi- <br />mate even for large samples. Note that a large <br />positive correlation will increase the precision <br />substantially. <br /> <br />On the choice of sampling methods with special <br />reference to large streams <br /> <br />Let us first recall the information required to <br />apply the three main methods proposed: <br />SRS - no auxiliary variable: N <br />SRS - auxiliary variable used: N, total area M, <br />section size mj for the n sections in the <br />sample <br />PPS - Section size mj for all N sections. <br />For large streams (N large) the PPS methods <br />will thus be impractical, so the options are the <br />SRS methods. The applications of these methods <br />to large streams, however, is not self-evident. In <br />many cases, electrofishing is possible only in <br />some areas, mainly along banks and in other <br />shallow areas where the current is not excessive. <br />In order to obtain the M value, the whole stream <br />has to be visited and measured with respect to <br />area and depth relations. Although this can be <br />simplified using e.g. aerial photography it may still <br />be a formidable task. If so, this leaves us to the <br />least precise of the methods, the SRS without <br />auxiliary variables. A practical compromise may <br />be the following in the case of large streams: <br /> <br /> <br />Fig. 9. A suitable sampling design in a large stream may be <br />to divide the stream into areas of approximately equal length <br />using a map, in this case N = 12 sections. A sample of n <br />sections (here n = 3) is drawn by simple random sampling. <br />The areas mj in which e1ectrofishing is possible (strippled) is <br />measured. For some estimates the total strippled area M <br />must be known (see text). <br /> <br />U sing a reliable map, the stream is divided into <br />N sections of approximately equal length (see <br />Fig. 9) from which are drawn a random sample of <br />n sections after stratification. As the 'functional' <br />width of the latter may vary greatly depending on <br />depth etc., the area mj of the random sample are <br />also measured. The population density within the <br />stratum or target area is then estimated from eq. <br />(23'). The sampling error of this estimate, how- <br />ever, cannot be estimated unless M is known (eq. <br />24'), so if an estimate of the sampling error is <br />important M has to be measured. In many cases, <br />however, it may be more useful to estimate popu- <br />lation change rather than absolute density. As <br />stated previously, the SRS without auxiliary varia- <br />ble may work well in this case provided a fair <br />correlation between x and y, so M may not have <br /> <br />;; <br />I <br /> <br />." <br />l <br />