## 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 17

Unfortunately,

tending to overestimate the actual population. This bias can be large for small

samples, and several

1982) ...

Unfortunately,

**formula**(2.1) produces a biased estimator of population size,tending to overestimate the actual population. This bias can be large for small

samples, and several

**formulas**have been suggested to reduce this bias. Seber (1982) ...

Page 20

The confidence interval for (R/C) is defined by the

for continuity are negligible, and this

binomial simplifies to The constant Za defines 100(1 - a) percent confidence

limits, ...

The confidence interval for (R/C) is defined by the

**formula**... and the correctionfor continuity are negligible, and this

**formula**for the normal approximation to thebinomial simplifies to The constant Za defines 100(1 - a) percent confidence

limits, ...

Page 41

By rearranging

losses (n, = s,)\ (j>,\, = -£- = Finite rate of population change (2.22) N, Thus when

there are no losses (<p, = 1 .0) and no additions (X, = 1 .0) the population

remains ...

By rearranging

**formula**(2. 1 5) we see that for the ideal case of no accidentallosses (n, = s,)\ (j>,\, = -£- = Finite rate of population change (2.22) N, Thus when

there are no losses (<p, = 1 .0) and no additions (X, = 1 .0) the population

remains ...

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### Other editions - View all

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