## 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 7

In determining the number of significant figures to record in your data, Barford's

method is slightly more conservative than Sokal and Rohlf s minimal level in

recommending more measuring precision. This elementary

6) is ...

In determining the number of significant figures to record in your data, Barford's

method is slightly more conservative than Sokal and Rohlf s minimal level in

recommending more measuring precision. This elementary

**statistical**rule (Rule #6) is ...

Page 73

Statisticians have employed many different

these three basic spatial patterns in populations. In doing so, the jargon of

ecology and

Following ...

Statisticians have employed many different

**statistical**distributions to describethese three basic spatial patterns in populations. In doing so, the jargon of

ecology and

**statistics**have become enmeshed and somewhat confused.Following ...

Page 201

Like many

than it is to apply in the field. Some background is essential before discussing

random sampling. First, you must specify very clearly what the

population ...

Like many

**statistical**concepts, "random sampling" is easier to explain on paperthan it is to apply in the field. Some background is essential before discussing

random sampling. First, you must specify very clearly what the

**statistical**population ...

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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