## 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 126

The census zone is the area of interest, but in practice a boundary strip must be

added so that measurements made ... These distances are measured for all

individuals in the

sampling.

The census zone is the area of interest, but in practice a boundary strip must be

added so that measurements made ... These distances are measured for all

individuals in the

**study area**, and thus there are no problems with randomsampling.

Page 129

To test for significant deviation from a random pattern: __*-*_ 1.626-1.703 __Q54

* 0.261 36/ V(39X0.08621) Since I z | is less than 1 .96, we accept the null

hypothesis that these crickets are randomly spaced in the

and ...

To test for significant deviation from a random pattern: __*-*_ 1.626-1.703 __Q54

* 0.261 36/ V(39X0.08621) Since I z | is less than 1 .96, we accept the null

hypothesis that these crickets are randomly spaced in the

**study area**. The Clarkand ...

Page 524

C Input data are the size of the

the nearest neighbor distances, one per C line ending with END-OF-FILE or a

negative distance. C Programmed by C. KREBS, May 1986 DIMENSION D(500),

...

C Input data are the size of the

**study area**, the number of C organisms, and thenthe nearest neighbor distances, one per C line ending with END-OF-FILE or a

negative distance. C Programmed by C. KREBS, May 1986 DIMENSION D(500),

...

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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