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 48
Page 126
... study area , and thus there are no problems with random sampling . The nearest neighbor of an individual within the study area can be an individual located outside the study area ( see Figure 4.1 ) . For this simple situation we have T1 ...
... study area , and thus there are no problems with random sampling . The nearest neighbor of an individual within the study area can be an individual located outside the study area ( see Figure 4.1 ) . For this simple situation we have T1 ...
Page 129
... study area . The Clark and Evans test ( equation 4.4 ) is unbiased only when a boundary strip is included in the study , as shown in Figure 4.1 . But in many cases ecologists have not used boundary strips because they wish to maximize ...
... study area . The Clark and Evans test ( equation 4.4 ) is unbiased only when a boundary strip is included in the study , as shown in Figure 4.1 . But in many cases ecologists have not used boundary strips because they wish to maximize ...
Page 524
... study area , the number of organisms , and then the nearest neighbor distances , one per line ending with END - OF ... STUDY AREA ' = ? " ⭑ READ ( IN , * ) AREA WRITE ( 10,104 ) 104 FORMAT ( 3X , ' ENTER NUMBER OF INDIVIDUALS IN STUDY ...
... study area , the number of organisms , and then the nearest neighbor distances , one per line ending with END - OF ... STUDY AREA ' = ? " ⭑ READ ( IN , * ) AREA WRITE ( 10,104 ) 104 FORMAT ( 3X , ' ENTER NUMBER OF INDIVIDUALS IN STUDY ...
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