## 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 79

The table in

our earthworm example, having counted a total of 56 worms,

95% confidence limits of 41.75 and 71.28. These limits are normally converted ...

The table in

**Appendix**1.2 gives the resulting 95% and 99% confidence limits. Forour earthworm example, having counted a total of 56 worms,

**Appendix**1 .2 gives95% confidence limits of 41.75 and 71.28. These limits are normally converted ...

Page 471

2 x2 = x2 + xl + xl + xl.. Mean = X = — n v . 2 2 X2 - g Xf/n Vanance = s2 = ; For

data in a frequency distribution: x = lM 2 ZfxX2-qfxXf/n s' = ; n - 1 Gamma function:

...

**Appendices APPENDIX**1.1: Definitions and Functions 2Ar = A'1 + X2 + X3+X4..-2 x2 = x2 + xl + xl + xl.. Mean = X = — n v . 2 2 X2 - g Xf/n Vanance = s2 = ; For

data in a frequency distribution: x = lM 2 ZfxX2-qfxXf/n s' = ; n - 1 Gamma function:

...

Page 531

using point-quarter data of distance measurements between random points and

the nearest organisms using the unbiased formulas given in Pollard (1971).

**APPENDIX**. 4.3: Program. QUARTER. This program estimates population densityusing point-quarter data of distance measurements between random points and

the nearest organisms using the unbiased formulas given in Pollard (1971).

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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