## 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 47

The basic data for this test are provided as a

of animals caught once in a series of samples, the number caught twice, etc. Box

2.4 gives some sample data. To calculate the expected

The basic data for this test are provided as a

**frequency distribution**of the numberof animals caught once in a series of samples, the number caught twice, etc. Box

2.4 gives some sample data. To calculate the expected

**frequency distribution**...Page 73

Statisticians have employed many different statistical distributions to describe

these three basic spatial patterns in ... In this book distribution will always mean a

statistical

Statisticians have employed many different statistical distributions to describe

these three basic spatial patterns in ... In this book distribution will always mean a

statistical

**frequency distribution**, (b) In ecology, the observed geographic ...Page 417

These data can be tallied into a

directly. To correct for the fact that the population is growing (or declining), each

dx value is corrected as follows: d'x = dxerx (12.12) where d'x = Corrected ...

These data can be tallied into a

**frequency distribution**of deaths and thus give dxdirectly. To correct for the fact that the population is growing (or declining), each

dx value is corrected as follows: d'x = dxerx (12.12) where d'x = Corrected ...

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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