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 523
... Enter size of study area 2. Enter number of individuals in study area 3. Enter method of data entry 1 ( raw data ) 2 ( sums of distances and distances squared ) If entering raw data : 4. Enter nearest - neighbor distances ( one per line ) ...
... Enter size of study area 2. Enter number of individuals in study area 3. Enter method of data entry 1 ( raw data ) 2 ( sums of distances and distances squared ) If entering raw data : 4. Enter nearest - neighbor distances ( one per line ) ...
Page 541
... Enter finite population size 6. 1 ( to continue ) 2 ( to quit program ) Proportion - binomial distribution 3. Enter desired width of confidence interval as a proportion 4. Enter expected proportion of type x organisms ( 0.0 to 1.0 ) 5 ...
... Enter finite population size 6. 1 ( to continue ) 2 ( to quit program ) Proportion - binomial distribution 3. Enter desired width of confidence interval as a proportion 4. Enter expected proportion of type x organisms ( 0.0 to 1.0 ) 5 ...
Page 558
... Enter alpha ( probability of a type I error ) 3. Enter beta ( probability of a type II error ) If data are means or variances from a normal distribution , binomial proportions , or negative binomial counts 4. Enter critical lower value ...
... Enter alpha ( probability of a type I error ) 3. Enter beta ( probability of a type II error ) If data are means or variances from a normal distribution , binomial proportions , or negative binomial counts 4. Enter critical lower value ...
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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