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Two diversity measures – richness and evenness – were used to compare the palynological and floristic data.
Perhaps one of the best places to look will be U.N.'s Human Development Index (HDI) that measures, "richness of human life, rather than simply the richness of the economy".
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Our comparisons of richness and evenness are based on analysis methods which control for the number of individuals counted (i.e., the curves measure richness and evenness independent of sampling effort or density).
We collected data to determine whether our four measures of lice richness (Amblyceran richness, Ischnoceran richness, total lice species richness, lice genera richness) were influenced by the following sets of factors.
The information entropy measures the richness of information in an image.
Here, the measures of richness, abundance based on total counts of individual species, and cover have been used to demonstrate resiliency by treatment type.
We evaluated diversity of breeding and winter birds using different measures (species richness, abundance, and true Shannon diversity), and partitioning diversity into spatial components (α, β, and γ).
Our findings suggest which measures of richness or species presence may be appropriate indicators for monitoring effects of forest management on avian communities, depending on management objectives.
Therefore, our measures of richness and evenness are likely not biased by differences in detectability.
Based on standardized measures of richness (UGE), the highest values were found in the Caribbean Sea followed by the Agulhas and Benguela Current LMEs (Table 3).
They range from relatively simple measures, like richness (the number of unique variants) and evenness (the variability in the relative frequencies of unique variants), to more sophisticated measures that account for both, such as Simpson's D and Shannon's H's
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