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 126
... nearest organism , or from organisms to their nearest neighbors . In principle , one could extend this approach to measure , in addition , the distance to the second nearest neighbor , the distance to the third nearest neighbor , and so ...
... nearest organism , or from organisms to their nearest neighbors . In principle , one could extend this approach to measure , in addition , the distance to the second nearest neighbor , the distance to the third nearest neighbor , and so ...
Page 130
... nearest neighbor , and no one seems to have gone beyond the 5th nearest neighbor . Thompson ( 1956 ) showed that the Clark and Evans approach could easily be generalized to the 2nd , 3rd , . . . nearest neighbors . Table 4.1 gives the ...
... nearest neighbor , and no one seems to have gone beyond the 5th nearest neighbor . Thompson ( 1956 ) showed that the Clark and Evans approach could easily be generalized to the 2nd , 3rd , . . . nearest neighbors . Table 4.1 gives the ...
Page 135
... nearest - neighbor distances than expected , the data suggest a clumped distribution . Program CAMPBELL ( Appendix 4.1 ) will do these calculations from the raw data of nearest - neighbor distances . The analysis of spatial maps becomes ...
... nearest - neighbor distances than expected , the data suggest a clumped distribution . Program CAMPBELL ( Appendix 4.1 ) will do these calculations from the raw data of nearest - neighbor distances . The analysis of spatial maps becomes ...
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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