Dispersion-based weighting of species counts in assemblage analyses

By K. Clarke, M. Chapman, P. Somerfield, H. Needham. 2006

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Sensitivity of amphipods to sewage pollution (2012, background): “The values were previously dispersionweighted in order to reduce “noise” produced by species with an erratic distribution, and whose abundance indicates a great variance between replicates (Clarke et al., 2006).”
Testing of null hypotheses in exploratory community analyses: similarity profiles and biota-environment linkage (2008, methodology): “Some species are much more abundant than others, or present at greater frequency, and the counts for some species are much more spatially clumped than for others, leading to higher variance-to-mean ratios (e.g. Fisher et al., 1922; Greig-Smith, 1952; Clarke et al., 2006a).”
Distance‐based multivariate analyses confound location and dispersion effects (2012, methodology): “An alternative form of within-group standardisation was proposed in Clarke et al. (2006), where taxa were weighted according to their level of overdispersion relative to the Poisson distribution, and these reweighted variables were used in distance-based analyses.”
Inverse analysis in non-parametric multivariate analyses: distinguishing groups of associated species which covary coherently across samples (2013, methodology): “Field et al. (1982) described a robust non-parametric multivariate strategy for the analysis of such data, whichwas expanded and clarified by Clarke (1993).”