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 12
... ( Chapter 2 ) MARK - RECAPTURE TECHNIQUES ( Chapter 2 ) ARE ORGANISMS MOBILE ? Yes IS POPULATION Yes NOW BEING EXPLOITED ? No QUADRAT COUNTS ( Chapter 3 ) No SPATIAL DISTRIBUTION METHODS IS POPULATION Yes ( Chapter 4 ) DISPERSION KNOWN TO ...
... ( Chapter 2 ) MARK - RECAPTURE TECHNIQUES ( Chapter 2 ) ARE ORGANISMS MOBILE ? Yes IS POPULATION Yes NOW BEING EXPLOITED ? No QUADRAT COUNTS ( Chapter 3 ) No SPATIAL DISTRIBUTION METHODS IS POPULATION Yes ( Chapter 4 ) DISPERSION KNOWN TO ...
Page 173
... chapter draws together a series of general methods that can be applied to any situation and guides you toward more complex methods when necessary . There is an excellent review of 173 Chapter 5 CHAPTER 5 Sample Size Determination.
... chapter draws together a series of general methods that can be applied to any situation and guides you toward more complex methods when necessary . There is an excellent review of 173 Chapter 5 CHAPTER 5 Sample Size Determination.
Page 291
... Chapter 9 discusses how to measure the similarity between communities . Similarity is the basis of classification , and this chapter discusses cluster analysis as one method of objectively defining the relationships among many community ...
... Chapter 9 discusses how to measure the similarity between communities . Similarity is the basis of classification , and this chapter discusses cluster analysis as one method of objectively defining the relationships among many community ...
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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