## 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

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Page 103

... This is the equation for a straight line with ^intercept equal to the true density D

and slope equal to -D/2 W. If this model is appropriate, we can use the

techniques of simple linear

area.

... This is the equation for a straight line with ^intercept equal to the true density D

and slope equal to -D/2 W. If this model is appropriate, we can use the

techniques of simple linear

**regression**to estimate the true density D for our studyarea.

Page 458

13.3 CENTRAL TREND LINES IN

developed in standard statistics texts, applies to the situation in which one

independent variable (X) is used to predict the value of a dependent variable (Y).

In many ...

13.3 CENTRAL TREND LINES IN

**REGRESSION**Linear**regression**theory, asdeveloped in standard statistics texts, applies to the situation in which one

independent variable (X) is used to predict the value of a dependent variable (Y).

In many ...

Page 459

160 r 100 200 2000 400 1000 Body weight (g) Figure 13.2

body weight and hind foot length for snowshoe hares. Three

calculated for these data. The two standard

...

160 r 100 200 2000 400 1000 Body weight (g) Figure 13.2

**Regression**of logbody weight and hind foot length for snowshoe hares. Three

**regressions**can becalculated for these data. The two standard

**regressions**of Y on X and A" on Y are...

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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