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It has been extensively shown by Taylor that the sampling mean and variance of spatially distributed populations are related by the simple of the Mean: V = aXb. Different authors have proposed that behaviour, demography, or the combined action of both may explain the Law of the Mean. In this paper we explore the statistical reasons that should lead us to expect a power relation between mean and variance, discuss the biological interpretations of such relation and criticize the usefulness of acumulating regression data on the Law of the Mean without providing the biological and sampling details of each case.
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M. et al. (1987) studied this question.
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