## 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 150

Unfortunately, the sampling distribution of Green's coefficient has not been

worked out, and it is possible to assign confidence limits to it only by jackknife

and bootstrap techniques (Chapter 1 3).

1 962) ...

Unfortunately, the sampling distribution of Green's coefficient has not been

worked out, and it is possible to assign confidence limits to it only by jackknife

and bootstrap techniques (Chapter 1 3).

**Morisita**'s Index of Dispersion**Morisita**(1 962) ...

Page 151

Calculate the

two significance points for the

index = Mu = *97S ~ * ' * f *' (4.28) where X.975 = Value of chi-square from ...

Calculate the

**Morisita**index of dispersion using equation (4.26). 2. Calculate thetwo significance points for the

**Morisita**index from the following formulas: Uniformindex = Mu = *97S ~ * ' * f *' (4.28) where X.975 = Value of chi-square from ...

Page 306

A highly diverse community is shown on the left and a lower-diversity community

on the right. Both of these measures are relatively little affected by sample size,

and Wolda (1981) recommends them as possible alternatives to

A highly diverse community is shown on the left and a lower-diversity community

on the right. Both of these measures are relatively little affected by sample size,

and Wolda (1981) recommends them as possible alternatives to

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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