## 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

Results 1-3 of 53

Page 81

3.2.2

been used to describe aggregated spatial patterns in biological populations (Patil

et al., 1971a). The most common one is the

...

3.2.2

**Negative Binomial Distribution**A variety of statistical distributions havebeen used to describe aggregated spatial patterns in biological populations (Patil

et al., 1971a). The most common one is the

**negative binomial distribution**, and in...

Page 82

Charles J. Krebs. From our point of view, it is simplest to consider the individual

terms of the

individuals in a quadrat Probability of observing 1 individual in a quadrat .

Charles J. Krebs. From our point of view, it is simplest to consider the individual

terms of the

**negative binomial distribution**: Probability of observing zeroindividuals in a quadrat Probability of observing 1 individual in a quadrat .

Page 248

7.1.4 Counts from a

organisms are aggregated so that quadrat counts will often be best described by

a

7.1.4 Counts from a

**Negative Binomial Distribution**In many sampling programs,organisms are aggregated so that quadrat counts will often be best described by

a

**negative binomial distribution**(Chapter 3). A sequential sampling scheme for ...### What people are saying - Write a review

We haven't found any reviews in the usual places.

### 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