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7116 (2)
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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 />r <br /> <br />below. First, compute A = 2c, + C2 and T. y is <br />then estimated as <br /> <br />y = 6A2 - 3AT - T2 + T JT2 + 6AT - 3A2 <br />18(A - T) <br />(11) <br /> <br />and p as <br /> <br />^ 3A - T - JT2 + 6A T - 3A 2 <br />P = (12) <br />2A <br /> <br />1 <br /> <br />The Standard Errors of these are given by (8) and <br />(9). <br /> <br />Example 2. c, = 244, c2 = 86 and C3 = 43. Then, <br />A = 574 <br />T = 373 <br />Y = 398.4 <br />^ ^ <br />SE(y) = 8.17 <br />P = 0.600 <br />If, instead, (10) and (7) are used, <br />p = 0.609 <br />Y = 396.7 <br /> <br />The case of 2 removals <br />In the case of 2 removals (e.g. Seber and LeCren, <br />1967) the estimators are <br /> <br />y = cif(c, - c2) <br /> <br />Y(y) = cfc~(cl + c2) <br />(c, - C2)4 <br /> <br />P = 1 - c2/c, <br /> <br />Y(P> = c2(c, + c2)/cj <br /> <br />(13) <br /> <br />(14) <br /> <br />(15) <br />(16) <br /> <br />The Standard Errors of y and p are the square <br />roots of (14) and (16), and confidence limits as in <br />(3). (13) may be corrected for bias: <br /> <br />* ^ q (1 - q) <br />y = y - <br />^3 <br />P <br /> <br />(13') <br /> <br />where y is calculated from (13). <br /> <br />23 <br /> <br />Using an approximately known catchability <br />Under similar conditions a skilled electrofisher <br />may have an approximately constant efficiency or <br />catch ability. If this p is estimated by some of the <br />methods proposed above and can be assumed <br />constant, it can be used either to get population <br />estimates where only one removal has been <br />carried out, or to increase the precision in the case <br />of two or more removals. This method is espe- <br />cially valuable if the population size in a specific <br />area is very low (e.g. older fish), as the methods <br />above may fail or at least give poor precision in <br />this case. The rational is that q is estimated from <br />a large population (e.g. the pooled result from <br />several sections) where at least 2 or, better, 3 <br />removals have been carried out. This q, which <br />thus has a good precision, is used in (7) to calcu- <br />late the size of the 'small' population or the popu- <br />lation in which few removals have been per- <br />formed. As an example (example 3), 3 removals <br />were carried out in each of 17 sections in a trout <br />stream, yielding, totally, 1002,213 and 68 trout of <br />age 1 +. From eq. (12) p is 0.761 and <br />q = 1- 0.761 = 0.239. In section No. 18 the fish- <br />ing had to be interrupted after 1 fishing, yielding <br />65 trout of this age class. Then from (7), y = 85.4 <br />in section No. 18. Example 4. In section No. 19, <br />the catch from 3 removals was 2, 2 and O. The <br />population is too small to apply eq. (11) (see <br />below), so the p estimate from example 3 is used. <br />Using (7), a population size y = 4.06 is obtained <br />for section No. 19. <br />The precision in this case is partly determined <br />by the precision of the p estimate applied. Bohlin <br />(1981) showed that the sampling variance, pro- <br />vided that the population is not too small, is <br />approximately <br />^^k (~k^k-I)2 <br />Y(^) = yq + yep) y q <br />y 1 ^k 1 ^k <br />-q -q <br />Using the data from example 3, the following <br />result is obtained: <br /> <br />(17) <br /> <br />y = 85.4 <br />P = 0.761 (eq. 12), q = 1 - 0.761 = 0.239 <br />7\ <br />yep) = 0.000155 (eq. 9) <br />k = 1 <br />^ ^ ^ <br />V(y) = 28.77 (eq. 17), SE(y) = 5.36 <br />
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