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 98
... aerial survey . This has been done only a few times . LeResche and Rausch ( 1974 ) tried total counts on moose ... aerial counts were not valid estimates of absolute moose numbers because of the large counting bias . Caughley ( 1974 ) ...
... aerial survey . This has been done only a few times . LeResche and Rausch ( 1974 ) tried total counts on moose ... aerial counts were not valid estimates of absolute moose numbers because of the large counting bias . Caughley ( 1974 ) ...
Page 103
... aerial counts . Gasaway et al . ( 1985 ) showed that moose in Alaska were more visible in May than in June . All these results show clearly that there will be no one universal method for correcting biases in visibility from aerial ...
... aerial counts . Gasaway et al . ( 1985 ) showed that moose in Alaska were more visible in May than in June . All these results show clearly that there will be no one universal method for correcting biases in visibility from aerial ...
Page 104
... aerial counts of red kangaroos . 3.3.2 Sampling in Aerial Surveys We define a census zone as the whole area in which the number of animals is to be estimated . The sample zone is that part of the census zone which is searched and ...
... aerial counts of red kangaroos . 3.3.2 Sampling in Aerial Surveys We define a census zone as the whole area in which the number of animals is to be estimated . The sample zone is that part of the census zone which is searched and ...
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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