## 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 175

This equation will depend on the kind of sampling being done and the type of

equations. For the case of the mean from a normal distribution we have the

equation ...

This equation will depend on the kind of sampling being done and the type of

**variable**being measured. The purpose of this chapter is to give you theseequations. For the case of the mean from a normal distribution we have the

equation ...

Page 458

In many ecological situations, there may be no clear dependent or independent

and Y

...

In many ecological situations, there may be no clear dependent or independent

**variable**. ... In these cases there is no clear causal relationship between the Xand Y

**variables**, and the usual regression techniques recommended in statistics...

Page 623

Enter 1 or 2 to indicate whether the dependent

second

= X2 5 ...

Enter 1 or 2 to indicate whether the dependent

**variable**( Y) is the first or thesecond

**variable**entered in the data 3. Enter the transformation code of the Y**variable**0 = nothing 1 = absolute value 2 = square root 3 = square root (X+0.5) A= X2 5 ...

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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