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Last modified
7/14/2009 5:01:44 PM
Creation date
5/22/2009 12:26:56 PM
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UCREFRP
UCREFRP Catalog Number
7116
Author
Baxter, G. and J. Simon
Title
Editor
USFW Year
Series
USFW - Doc Type
1970
Copyright Material
YES
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<br />30 <br /> <br />Yi = Ydmj population density in a unit i, esti- <br />mated as <br /> <br />!l ^ ^ <br />Yi = Ydmj <br /> <br />Y = Y /M mean population density in the <br />stratum or target area, estimated as <br /> <br />^ n n <br /> <br />Yi = L Yd L mj <br />Pi == mdM probability of selecting unit i when <br />using proportional probability <br />sampling with replacement. <br /> <br />This section is organized in the following way. <br />First, 3 general methods of total stock assessment <br />are outlined and examplified without much <br />reference to their limitations. Then we continue <br />with a discussion on how to estimate population <br />changes rather than population size; this is often <br />a main goal. Finally, the application of the <br />methods proposed are discussed with special <br />reference to large streams. <br /> <br />Methods based on simple random sampling (SRS) <br />within strata <br /> <br />Regardless whether the areas are of equal or <br />unequal size, one way to obtain a sample is to use <br />simple random sampling. This is usually carried <br />out by numbering all the N sections and then <br />using a table of random numbers drawing a <br />sample of size n. The population size Yj in each of <br />these n sections is then estimated by electro- <br />fishing, e.g. by some of the methods proposed <br />above, as Y i with a sampling variance V (y i)' <br />If sections of (approximately) equal size (e.g. <br />length) are used, the following method can be <br />employed to estimate total population Y. <br />Compute the mean per section as <br /> <br />n ^ <br />.:. (^ ('; ^)/ "Yi <br />y= Y'+.Y2+"',+Yn n=L.,- <br />n <br /> <br />and the estimated (spatial) variance between the <br />areas in the usual way as <br /> <br />v (y) = f (y i - Y )2 <br />n - 1 <br /> <br />The total population in the stratum is then esti- <br />mated as <br /> <br />^ - <br />Y = Ny <br /> <br />(21) <br /> <br />^ ^ <br />and the sampling variance V(Y) of Y as <br /> <br />^ ^ N ^ N~ ^ <br />V(Y) = - (N - n) V(y) + - L., V(yJ (22) <br />n n <br /> <br />^ <br />SE(Y) is estimated as the square root of this <br />expressIOn. <br />This method will be referred to as SRS esti- <br />mation without auxiliary variable. <br />In eq. (22), the first term is the error generated <br />by the spatial variation of the fish population, and <br />the second the additional error due to the fact that <br />each Yi is estimated, not known. <br />Ifmore than 1 stratum is used, the total popula- <br />tion in the target area is the sum of the total <br />populations in each stratum. As the sampling <br />variances are also additive, this leads to <br />h <br />^ ^ <br />Y lOt = L Yj <br />where h is the number of strata and Yj the total <br />population in the j : th stratum, and <br />h <br />^ ^ ^ ^ <br />V(Ytot) = L V(Y) <br /> <br />( <br /> <br />^ ^ <br />As usuaJIy, SE(Ytot) is the square root of <br />^ ^ <br />V(Ytot)' <br /> <br />Example 5. 7 sections of approximately equal <br />length (n = 7) were drawn at random from a <br />stratum with N = 37. The populations Yi were <br />estimated using 3 removals and applying eq. (11) <br />and (8). The input data c, , c2, C3 and the result <br />is then: <br /> <br />.> <br /> <br />r <br /> <br /> ^ ^ ^ <br />i c, C2 C3 Yi V(yJ <br />1 178 31 7 217.4 1.76 <br />2 69 18 7 96.5 4.35 <br />3 107 13 5 125.6 0.68 <br />4 88 26 6 122.6 4.20 <br />5 104 27 9 143.1 5.19 <br />6 111 24 7 143.9 2.68 <br />7 28 8 3 40.2 2.22 <br /> <br />.~ <br /> <br />h <br /> <br />l <br />
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