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 39
... population could be estimated by M = ( s , + 1 ) Z , R , +1 + mi ( 2.18 ) where M , Estimated size of the marked population just before sample time t = We can now estimate population size : Ń , = M1 αι ( 2.19 ) where Ń , Estimated ...
... population could be estimated by M = ( s , + 1 ) Z , R , +1 + mi ( 2.18 ) where M , Estimated size of the marked population just before sample time t = We can now estimate population size : Ń , = M1 αι ( 2.19 ) where Ń , Estimated ...
Page 162
... estimate the initial population size . One advantage of this procedure is that the proportion of x - types in the population need not change from time 1 to time 3 ( it must obviously change at time 2 if the method is to work ! ) . But ...
... estimate the initial population size . One advantage of this procedure is that the proportion of x - types in the population need not change from time 1 to time 3 ( it must obviously change at time 2 if the method is to work ! ) . But ...
Page 190
... estimate , like population density , are basically continuous variables that are estimated in indirect ways . For example , we might use a line transect technique to estimate population density . Such derived variables are more ...
... estimate , like population density , are basically continuous variables that are estimated in indirect ways . For example , we might use a line transect technique to estimate population density . Such derived variables are more ...
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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