## 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 73

Statisticians have employed many different statistical distributions to describe

these three basic

use

individuals.

Statisticians have employed many different statistical distributions to describe

these three basic

**spatial patterns**in populations. In doing so ... In this book I willuse

**spatial pattern**or pattern to describe the geographic distribution ofindividuals.

Page 138

Under the null hypothesis of randomness, the index of pattern should be 0.5. Box

4.2 illustrates the use of the Hopkins test to determine

Estimation The original reason for developing distance measures of the general ...

Under the null hypothesis of randomness, the index of pattern should be 0.5. Box

4.2 illustrates the use of the Hopkins test to determine

**spatial pattern**. DensityEstimation The original reason for developing distance measures of the general ...

Page 166

4.5 SUMMARY Plotless sampling methods have been developed for the twin

purposes of determining the

population density. These methods use distances from random points to the

nearest ...

4.5 SUMMARY Plotless sampling methods have been developed for the twin

purposes of determining the

**spatial pattern**of a population and estimatingpopulation density. These methods use distances from random points to the

nearest ...

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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