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 ) DO YOU NEED DATA Yes MARK - RECAPTURE ON INDIVIDUALS ? TECHNIQUES ( Chapter 2 ) No ARE ORGANISMS MOBILE ? Yes IS POPULATION Yes NOW BEING EXPLOITED ? No QUADRAT COUNTS ( Chapter 3 ) SPATIAL DISTRIBUTION METHODS Yes ( Chapter ...
... ( Chapter 2 ) DO YOU NEED DATA Yes MARK - RECAPTURE ON INDIVIDUALS ? TECHNIQUES ( Chapter 2 ) No ARE ORGANISMS MOBILE ? Yes IS POPULATION Yes NOW BEING EXPLOITED ? No QUADRAT COUNTS ( Chapter 3 ) SPATIAL DISTRIBUTION METHODS Yes ( Chapter ...
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 aerial analysis animals Appendix approach approximate assume assumptions calculations catchability caught Chapter coefficient confidence interval confidence limits CONTINUE correction cost counts defined density discussed distance distribution ecological ecologists Enter equal equation estimate example expected experiment field Figure finite follows FORMAT FORMAT 2X formula frequency given gives hypothesis illustrates marked mean measure method nearest negative binomial neighbor niche normal Note Number of individuals observed obtained organisms pattern plot Poisson possible precision probability problem procedure Program proportion quadrat random random sampling ratio READ regression relative replacement resource rule sample size sampling unit selected showed similarity simple sizes spatial species square standard error statistical stratum Table techniques Total number transect transformation usually variable variance wish WRITE