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 39
... population could be estimated by M1 = ( s1 + 1 ) Z , R , +1 + mi ( 2.18 ) where M1 = Estimated size of the marked population just before sample time t We can now estimate population size : = M1 αι where Ń1 = Estimated population size ...
... population could be estimated by M1 = ( s1 + 1 ) Z , R , +1 + mi ( 2.18 ) where M1 = Estimated size of the marked population just before sample time t We can now estimate population size : = M1 αι where Ń1 = Estimated population size ...
Page 190
... estimate , like population density , are basically continuous variables that are estimated in indirect ways . For example , we might use a line transect technique to estimate population density . Such derived variables are more ...
... estimate , like population density , are basically continuous variables that are estimated in indirect ways . For example , we might use a line transect technique to estimate population density . Such derived variables are more ...
Page 258
... estimate derived by Chapman ( 1954 ) is Nc = Σ C , M , L ( 7.39 ) where Nc Chapman's estimate of population size for a sequential Schnabel ex- = periment C ... ESTIMATION OF POPULATION SIZE BY THE SCHNABEL 258 7 / SEQUENTIAL SAMPLING.
... estimate derived by Chapman ( 1954 ) is Nc = Σ C , M , L ( 7.39 ) where Nc Chapman's estimate of population size for a sequential Schnabel ex- = periment C ... ESTIMATION OF POPULATION SIZE BY THE SCHNABEL 258 7 / SEQUENTIAL SAMPLING.
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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