## 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 31

TABLE 2.1 MARK-RECAPTURE DATA

ESTIMATE OF POPULATION SIZE* ' S. D. (jerking (1953) marked and released

sunfish in an Indiana lake for 14 days and

TABLE 2.1 MARK-RECAPTURE DATA

**OBTAINED**FOR A SCHNABEL-TYPEESTIMATE OF POPULATION SIZE* ' S. D. (jerking (1953) marked and released

sunfish in an Indiana lake for 14 days and

**obtained**these data. * Number of fish ...Page 32

The variance of the Schumacher estimator is

theory as the variance of the slope of the regression (Zar, 1 984, p. 272; Sokal

and Rohlf, 1981). In terms of mark-recapture data: v . 1 2 (R'/Q) - (I R.M.fll (CtM2,)

...

The variance of the Schumacher estimator is

**obtained**from linear regressiontheory as the variance of the slope of the regression (Zar, 1 984, p. 272; Sokal

and Rohlf, 1981). In terms of mark-recapture data: v . 1 2 (R'/Q) - (I R.M.fll (CtM2,)

...

Page 223

S.E.(random) where S.E.(optimal) = Standard error of the stratified mean

error of the stratified mean

Standard ...

S.E.(random) where S.E.(optimal) = Standard error of the stratified mean

**obtained**with optimal allocation of sample sizes S.E.(proportional) = Standarderror of the stratified mean

**obtained**with proportional allocation S.E.(random) =Standard ...

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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