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
Results 1-3 of 65
Page 35
... assumptions that the Petersen method makes ( p . 27 ) —that the population size is constant without recruitment or losses , that sampling is random , and that all ... Assumptions of Schnabel Method Assumptions of the Schnabel Method.
... assumptions that the Petersen method makes ( p . 27 ) —that the population size is constant without recruitment or losses , that sampling is random , and that all ... Assumptions of Schnabel Method Assumptions of the Schnabel Method.
Page 59
... assumptions . RULE # 3 : Treat all population estimates and confidence intervals with caution , and recheck your assumptions as often as possible . There is a considerable literature on more specialized techniques of mark - recapture ...
... assumptions . RULE # 3 : Treat all population estimates and confidence intervals with caution , and recheck your assumptions as often as possible . There is a considerable literature on more specialized techniques of mark - recapture ...
Page 287
... assumption of no interactions , you should use a full factorial design with replication so that interactions can be estimated . The Latin square design is not commonly found in ecological research , but when its restrictive assumptions ...
... assumption of no interactions , you should use a full factorial design with replication so that interactions can be estimated . The Latin square design is not commonly found in ecological research , but when its restrictive assumptions ...
Other editions - View all
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