Ecological MethodologyEcological Methodology, Second Edition provides a balance of material on animal and plant populations, and teaches students of ecology how to design efficient tests in order to obtain maximum precision with minimal work. |
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Page 157
... variance ( μ2 ) Variance of Ń1 = - ( Â1 − Â1⁄2 ) 2 ( 4.36 ) where Variance ( p1 ) = Â1 ( 1 − Âì ) ni - Variance ( p2 ) - P2 ( 1 − ₤ 2 ) N2 ( 4.37 ) ( 4.38 ) where n1 = Total sample size used to estimate the ratio p , at time 1 n2 ...
... variance ( μ2 ) Variance of Ń1 = - ( Â1 − Â1⁄2 ) 2 ( 4.36 ) where Variance ( p1 ) = Â1 ( 1 − Âì ) ni - Variance ( p2 ) - P2 ( 1 − ₤ 2 ) N2 ( 4.37 ) ( 4.38 ) where n1 = Total sample size used to estimate the ratio p , at time 1 n2 ...
Page 158
... ( variance ) ( Rx - p2R ) 4 of p2 1 / variance + ( Rx - p2R ) 2 of pi ( 4.39 ) where the variance of p , is as defined in equation ( 4.37 ) , the variance of p2 is as defined in equation ( 4.38 ) , and all other terms are as previously ...
... ( variance ) ( Rx - p2R ) 4 of p2 1 / variance + ( Rx - p2R ) 2 of pi ( 4.39 ) where the variance of p , is as defined in equation ( 4.37 ) , the variance of p2 is as defined in equation ( 4.38 ) , and all other terms are as previously ...
Page 215
... variance of the stratified means depends only on the size of the variances within each stratum . If you could divide a highly variable population into homogeneous strata such that all measurements within a stratum were equal , the variance ...
... variance of the stratified means depends only on the size of the variances within each stratum . If you could divide a highly variable population into homogeneous strata such that all measurements within a stratum were equal , the variance ...
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Common terms and phrases
abundance aphids Appendix assumptions bias calculations capture Caughley census zone Chapter chi-square clumped coefficient of variation confidence interval confidence limits defined density estimate distance ecological ecologists END-OF-FILE Enter equal catchability equation estimate of population estimate population example Figure finite population FORMAT 2X formula frequency distribution index of dispersion line transect mark-recapture marked animals method n₁ nearest neighbor negative binomial distribution niche breadth niche overlap normal distribution null hypothesis Number of animals Number of individuals number of quadrats number of samples number of species observed obtained parameters Petersen plot Poisson distribution population density population estimate problem Program proportion quadrat counts random points random sampling ratio READ recaptures regression sample size sample sizes sampling unit Schnabel Seber second sample simple random sampling spatial pattern standard error statistical statistical population stratum study area survival rate Table techniques Total number transformation variable variance