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 16
... second sample must be a random sample for this method to be valid ; that is , marked and unmarked individuals must have the same chance of being captured in the second sample . The data obtained are M = Number of individuals marked in ...
... second sample must be a random sample for this method to be valid ; that is , marked and unmarked individuals must have the same chance of being captured in the second sample . The data obtained are M = Number of individuals marked in ...
Page 27
... sample . 3. Marking individuals does not affect their catchability . 4. Animals do not lose marks between the two sampling periods . 5. All marks are reported on discovery in the second sample . If the first assumption is to hold in a ...
... sample . 3. Marking individuals does not affect their catchability . 4. Animals do not lose marks between the two sampling periods . 5. All marks are reported on discovery in the second sample . If the first assumption is to hold in a ...
Page 28
... sample by sampling areas at random with a constant effort . We can divide the total area into equal subareas and ... second sample : RA = Number of tagged animals in second sample with only an A - type tag ( i.e. , they have lost their B ...
... sample by sampling areas at random with a constant effort . We can divide the total area into equal subareas and ... second sample : RA = Number of tagged animals in second sample with only an A - type tag ( i.e. , they have lost their B ...
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Common terms and phrases
abundance aphids Appendix assumptions bias calculations capture Caughley census zone Chapter chi-square clumped coefficient of variation confidence interval confidence limits defined density estimate distance ecological ecologists END-OF-FILE Enter equal catchability equation estimate of population estimate population example Figure finite population FORMAT 2X formula frequency distribution index of dispersion line transect mark-recapture marked animals method n₁ 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 problem Program proportion quadrat counts random points random sampling ratio READ recaptures regression sample size sample sizes sampling unit Schnabel Seber second sample simple random sampling spatial pattern standard error statistical statistical population stratum study area survival rate Table techniques Total number transformation variable variance