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Abstract: This paper addresses the need for an internationally accepted definition of biodiversity the lack of which creates difficulty in measuring biodiversity difference and change. The authors suggest that well-sampled data can be used to generate a range of numerical indices reflecting species group characteristics/functionality that can be viewed in combination to create a picture of Biodiversity Quality. Examples of this approach demonstrate how to expand the currently accepted Convention on Biological Diversity definition, based on the “variability” of genes, species and ecosystems, since the numerical expression of the indices allows the probability of difference between biodiversity quality trends and values over time, and between sites or taxonomic groups, to be assessed for statistical inference of difference or similarity. [Copyright &y& Elsevier]