## 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 203

In all these cases and many more, ecological interest is focused on four types of

characteristics of the population: 1. ... For any statistical population consisting of

N units, we define the

In all these cases and many more, ecological interest is focused on four types of

characteristics of the population: 1. ... For any statistical population consisting of

N units, we define the

**finite population**correction (fpc) as where fpc = Finite ...Page 204

Cochran (1977) proves that estimates of the population mean and total are given

by the following formulas. ... Note that when the sampling fraction (n/N) is low, the

Cochran (1977) proves that estimates of the population mean and total are given

by the following formulas. ... Note that when the sampling fraction (n/N) is low, the

**finite population**correction is nearly 1 .0 and so the size of the population has ...Page 541

If population is finite 7. Enter

program) Variance of a normal distribution 3. Enter desired width of confidence

interval as a percentage 4. 1 (if

population ...

If population is finite 7. Enter

**finite population**size 8. 1 (to continue) 2 (to quitprogram) Variance of a normal distribution 3. Enter desired width of confidence

interval as a percentage 4. 1 (if

**finite population**) 2 (if infinite population) Ifpopulation ...

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Ecological Methodology Charles J. Krebs,CHARLES L. KREBS,Professor of Zoology Charles J Krebs No preview available - 1999 |

### Common terms and phrases

abundance aerial analysis aphids Appendix assumptions bias calculations capture Caughley Chapter clumped coefficient of variation confidence interval confidence limits defined density estimate distance ecological ecologists END-OF-FILE equal catchability equation estimate of population estimate population example Figure finite population FORMAT 2X,'ENTER formula frequency distribution index of dispersion level of precision line transect mark-recapture marked animals Morisita 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 probability problem Program proportion quadrat counts random points random sampling ratio READ regression resource sample size sample sizes sampling unit Seber second sample sequential sampling simple random sampling spatial pattern standard error statistical statistical population stratum study area survival rate Table techniques Total number transformation unmarked variable variance voles