## 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 40

We

Size of marked population at start of sample t + 1 Size of marked population at

end of sample t The marked population is added to during each sampling time as

...

We

**define**<t>, = Probability of survival from sample time t to sample time / + 1 _Size of marked population at start of sample t + 1 Size of marked population at

end of sample t The marked population is added to during each sampling time as

...

Page 257

conventional formulas and assume that the stopping rule as

does not bias estimates of means and confidence intervals obtained in the usual

ways. There are a few ecological measurements for which special sequential ...

conventional formulas and assume that the stopping rule as

**defined**sequentiallydoes not bias estimates of means and confidence intervals obtained in the usual

ways. There are a few ecological measurements for which special sequential ...

Page 372

Resource states may be

taxonomic identity of the food taken may be used as a resource state, or the size

category of the food items (without regard to taxonomy) could be

Resource states may be

**defined**in a variety of ways: 1. Food resources: thetaxonomic identity of the food taken may be used as a resource state, or the size

category of the food items (without regard to taxonomy) could be

**defined**as the ...### What people are saying - Write a review

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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