## 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. |

### From inside the book

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Page 411

Life Tables 413 12.2.1 Methods of Collecting Life Table Data 415 12.2.2 Key

Factor Analysis 420 12.2.3 Expectation of Further Life 428 12.3 Estimation of

**Survival**.**Rates**. 12.1 Finite and Instantaneous**Rates**411 12.2 Estimation fromLife Tables 413 12.2.1 Methods of Collecting Life Table Data 415 12.2.2 Key

Factor Analysis 420 12.2.3 Expectation of Further Life 428 12.3 Estimation of

**Survival**...Page 434

In this case the assumption of constant recruitment can be dropped, and the

catch curve for that year class is a cohort survivorship curve for which the

average

the right limb ...

In this case the assumption of constant recruitment can be dropped, and the

catch curve for that year class is a cohort survivorship curve for which the

average

**survival rate**can be calculated. If these four assumptions are violated,the right limb ...

Page 439

This transformation can also be used to estimate the sample size needed to get a

specified precision in an estimate of the daily

1982) give this procedure: 1. Guess the likely value of the finite daily

...

This transformation can also be used to estimate the sample size needed to get a

specified precision in an estimate of the daily

**survival rate**. Bart and Robson (1982) give this procedure: 1. Guess the likely value of the finite daily

**survival rate**...

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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