Ecology of the burrowing amphipod, Pontoporeia affinis, in Lake Michigan / by Wayne Paul Alley.

107 samples possessing considerably more variability than others with no apparent relation between means and variances, Regular heterogeneity usually arises from some type of nonnormality in the data with the variability of the samples being related to the sample means (Steel and Torrie 1960). It is often difficult to interpret the causes of variance-mean interaction but the variance of either the Poisson or binomial distribution is functionally related to the mean. Evans (1952) pointed out that if density is defined as the number of individuals per quadrat, density becomes directly proportional to quadrat size with a doubling in value occurring for each two-fold increase of quadrat area. The larger the quadrat the more likely it will contain many individuals and less likely to contain fewer individuals. A population sampled with one quadrat size may have its members distributed at random, yet the same individuals may be consindered highly aggregated when another quadrat size is usedo The Pontoporeia sampled in the long-term study area were converted to individuals A4 because the two samplers used had different grab areaso If samples are multiplied by a constant, the mean of these samples is increased by the multiple of the constant while the variance is increased by the square of the constant, which can affect the variance-mean relationship. It was indicated earlier that different size groups of Pontoporeia were either contagiously or randomly distributed. The relative proportion of these size groups will affect the distributional patterns.

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Title
Ecology of the burrowing amphipod, Pontoporeia affinis, in Lake Michigan / by Wayne Paul Alley.
Author
Alley, Wayne Paul.
Canvas
Page 107
Publication
Ann Arbor, Mich. :: University of Michigan,
1968.
Subject terms
Amphipoda -- Michigan, Lake.

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"Ecology of the burrowing amphipod, Pontoporeia affinis, in Lake Michigan / by Wayne Paul Alley." In the digital collection Great Lakes Digital Library. https://name.umdl.umich.edu/4737944.0001.001. University of Michigan Library Digital Collections. Accessed May 18, 2025.
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