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 15
Recapture. Techniques. 2.1 Petersen Method 16 2.1.1 Confidence Intervals 17
2.1.2 Sample Size Estimation 22 2.1.3 Assumptions of the Petersen Method 27
2.2 Schnabel Method 30 2.2.1 Confidence Intervals 32 2.2.2 Assumptions of the ...
Recapture. Techniques. 2.1 Petersen Method 16 2.1.1 Confidence Intervals 17
2.1.2 Sample Size Estimation 22 2.1.3 Assumptions of the Petersen Method 27
2.2 Schnabel Method 30 2.2.1 Confidence Intervals 32 2.2.2 Assumptions of the ...
Page 155
4.4 EXPLOITED POPULATION TECHNIQUES A special set of techniques have
been developed for estimating population size in exploited populations. Many of
these techniques are highly specific for exploited fish populations (Ricker, 1975;
...
4.4 EXPLOITED POPULATION TECHNIQUES A special set of techniques have
been developed for estimating population size in exploited populations. Many of
these techniques are highly specific for exploited fish populations (Ricker, 1975;
...
Page 312
Divisive techniques ought to be more accurate, because chance anomalies with
individual samples may start agglomerative techniques off with some bad
combinations which snowball as more agglomeration proceeds. 3. Monothetic or
...
Divisive techniques ought to be more accurate, because chance anomalies with
individual samples may start agglomerative techniques off with some bad
combinations which snowball as more agglomeration proceeds. 3. Monothetic or
...
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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