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
... ( Seber , 1982 , p . 204 ) . The size of the marked population is more difficult to estimate because there are two components of the marked population at any sampling time : ( 1 ) marked animals actually caught and ( 2 ) marked animals ...
... ( Seber , 1982 , p . 204 ) . The size of the marked population is more difficult to estimate because there are two components of the marked population at any sampling time : ( 1 ) marked animals actually caught and ( 2 ) marked animals ...
Page 43
... Seber estimators of population size , probability of survival , and dilution rate , along with the confidence limits from Manly ( 1984 ) . 2.3.2 Assumptions of Jolly - Seber Method The Jolly - Seber method is designed for open ...
... Seber estimators of population size , probability of survival , and dilution rate , along with the confidence limits from Manly ( 1984 ) . 2.3.2 Assumptions of Jolly - Seber Method The Jolly - Seber method is designed for open ...
Page 192
... Seber model and will simulate the estimation so that you can see the levels of precision obtained . Roff ( 1973a ) has shown that sampling intensity must be very high to attain high levels of precision with Jolly - Seber estimation ...
... Seber model and will simulate the estimation so that you can see the levels of precision obtained . Roff ( 1973a ) has shown that sampling intensity must be very high to attain high levels of precision with Jolly - Seber estimation ...
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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