## 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 94

Page 138

The intuitive justification of the Hopkins test is that if the organisms are clumped,

point-to-organism

test for h ...

The intuitive justification of the Hopkins test is that if the organisms are clumped,

point-to-organism

**distances**will be large relative to organism-to-organism**distances**. The opposite will occur if the spacing pattern is uniform. Thus the F-test for h ...

Page 300

Euclidean

from Figure 9.2 as the hypotenuse of a triangle and is calculated from simple

geometry as

Euclidean

**Distance**The**distance**between these two samples is clearly seenfrom Figure 9.2 as the hypotenuse of a triangle and is calculated from simple

geometry as

**Distance**= Vx2 + y2 = V(35- 18)2 + (29- 12)2 = 24.04 (indiv.) This**distance**...Page 531

This program estimates population density using point-quarter data of

measurements between random points and the nearest organisms using the

unbiased formulas given in Pollard (1971). Data input: 1. Enter type of data 1 (

single ...

This program estimates population density using point-quarter data of

**distance**measurements between random points and the nearest organisms using the

unbiased formulas given in Pollard (1971). Data input: 1. Enter type of data 1 (

single ...

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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