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Curvilinear or distributional representations extract patterns of relative species abundances in an assemblage, encompassing a range of diversity information from evenness to richness, rather than reducing that information to a single summary statistic, such as a diversity index. In k-dominance curves the cumulative relative abundances of species, ranked in decreasing order of their importance in terms of abundance (or biomass), are plotted against species rank, or more usually log species rank. The higher the curve in a k-dominance plot, and the more quickly it reaches its maximum value (of 100), the lower the evenness and richness components of diversity. A modified logistic transformation of the y- (cumulative abundance) axis brings the values closer to linearity to enable easier visual comparisons. Partial dominance curves overcome the problem that the visual information presented is over-dependent on the single most dominant species. The statistical significance of differences between replicated sets of curves can be tested using multivariate methodologies.
|Publication Type:||Book Chapter|
|Copyright:||© 2008 Elsevier B.V.|
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