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 113
... illustrates these calculations . Program AERIAL ( Appendix 3.5 ) calculates total population estimates for these three methods of Jolly ( 1969 ) . 3.4 LINE TRANSECTS Aerial censuses are just a specialized form of a more general type of ...
... illustrates these calculations . Program AERIAL ( Appendix 3.5 ) calculates total population estimates for these three methods of Jolly ( 1969 ) . 3.4 LINE TRANSECTS Aerial censuses are just a specialized form of a more general type of ...
Page 330
... illustrates this concept . The term heterogeneity was first applied to this concept by Good ( 1953 ) , and for many ecologists this concept is synonymous with diversity ( Hurlbert , 1971 ) . The popularity of the heterogeneity concept ...
... illustrates this concept . The term heterogeneity was first applied to this concept by Good ( 1953 ) , and for many ecologists this concept is synonymous with diversity ( Hurlbert , 1971 ) . The popularity of the heterogeneity concept ...
Page 397
... illustrates the calculation of Manly's alpha . Program PREFER ( Ap- pendix 11.2 ) does these calculations . 11.4.6 Rank Preference Index The calculation of preference indices is critically dependent on the array of resources that the ...
... illustrates the calculation of Manly's alpha . Program PREFER ( Ap- pendix 11.2 ) does these calculations . 11.4.6 Rank Preference Index The calculation of preference indices is critically dependent on the array of resources that the ...
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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