## 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 78

Page 16

The second sample must be a random sample for this method to be valid; that is,

marked and unmarked individuals must have the same chance of being captured

in the second sample. The data obtained are M =

The second sample must be a random sample for this method to be valid; that is,

marked and unmarked individuals must have the same chance of being captured

in the second sample. The data obtained are M =

**Number of individuals**...Page 30

Individuals caught at each sample are first examined for marks, then marked and

released. ... We determine for each sample t: C, = Total

caught in sample / R, =

Individuals caught at each sample are first examined for marks, then marked and

released. ... We determine for each sample t: C, = Total

**number of individuals**caught in sample / R, =

**Number of individuals**already marked when caught in ...Page 80

20 3 10 CD Q- L. 0 2 4 6 8 10

c o o <D 4 10 h- 8 mTTn-^ 0 4 8 12 16

c I A = 10 L 0 4 8 12 16

20 3 10 CD Q- L. 0 2 4 6 8 10

**Number of individuals**per sampling unit = 5 c <»c o o <D 4 10 h- 8 mTTn-^ 0 4 8 12 16

**Number of individuals**per sampling unit 12c I A = 10 L 0 4 8 12 16

**Number of individuals**per sampling unit V 6 4 - ...### 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