## 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

by - (s,+ 1)Z, Mt = — - h m, R,+ 1 where M, = Estimated size of the marked

population just before sample time t We can now estimate population size: (2.18)

a, ...

**Seber**(1982) showed that the sizes of the marked population could be estimatedby - (s,+ 1)Z, Mt = — - h m, R,+ 1 where M, = Estimated size of the marked

population just before sample time t We can now estimate population size: (2.18)

a, ...

Page 43

Program JOLLY in Appendix 2.4 computes the Jolly-

population size, probability of survival, and dilution rate, along with the

confidence limits from Manly (1984). 2.3.2 Assumptions of Jolly-

The Jolly-

Program JOLLY in Appendix 2.4 computes the Jolly-

**Seber**estimators ofpopulation size, probability of survival, and dilution rate, along with the

confidence limits from Manly (1984). 2.3.2 Assumptions of Jolly-

**Seber**MethodThe Jolly-

**Seber**...Page 192

The important point is that they provide some guidance in planning a marking

experiment using the Schnabel method. No simple methods are available to

estimate sample sizes needed to attain a given level of precision with the Jolly-

The important point is that they provide some guidance in planning a marking

experiment using the Schnabel method. No simple methods are available to

estimate sample sizes needed to attain a given level of precision with the Jolly-

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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