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
... Figure 4.1 . 4.1 METHODS FOR SPATIAL MAPS 4.1.1 Nearest - Neighbor Distance Methods In some situations an ecologist may have an exact map of the geographic location of each individual organism . Figure 4.2 illustrates this type of ...
... Figure 4.1 . 4.1 METHODS FOR SPATIAL MAPS 4.1.1 Nearest - Neighbor Distance Methods In some situations an ecologist may have an exact map of the geographic location of each individual organism . Figure 4.2 illustrates this type of ...
Page 228
... ( Figure 6.2 ) . Note that once the number of samples has been specified , there is only one centric sample for any area - all others would be eccentric samples ( Milne , 1959 ) . Statisticians have usually condemned systematic sampling ...
... ( Figure 6.2 ) . Note that once the number of samples has been specified , there is only one centric sample for any area - all others would be eccentric samples ( Milne , 1959 ) . Statisticians have usually condemned systematic sampling ...
Page 387
... ( Figure 11.2 ) . When niche overlap is complete , there is a negative bias in the percentage overlap measure , and this negative bias is reduced but not eliminated as sample size increases ( Figure 11.2 ) . This negative bias at high ...
... ( Figure 11.2 ) . When niche overlap is complete , there is a negative bias in the percentage overlap measure , and this negative bias is reduced but not eliminated as sample size increases ( Figure 11.2 ) . This negative bias at high ...
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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