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  1. Carlo Ricotta (2007). A Semantic Taxonomy for Diversity Measures. Acta Biotheoretica 55 (1).
    Community diversity has been studied extensively in relation to its effects on ecosystem functioning. Testing the consequences of diversity on ecosystem processes will require measures to be available based on a rigorous conceptualization of their very meaning. In the last decades, literally dozens of measures of diversity have been proposed. However, rather than using unrelated metrics, we need to identify their separate components so that possible links between them and ecosystem functioning can be examined using an agreed-upon language. In this (...)
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  2. Carlo Ricotta (2006). Towards a Complex, Plural and Dynamic Approach to Diversity: Rejoinder to Myers and Patil, Podani, and Sarkar. Acta Biotheoretica 54 (2).
    This reply paper includes two brief remarks in rejoinder to the commentary papers of Myers and Patil, Podani, and Sarkar. The first observation concerns the fundamental nature of ecological diversity measures, while the second one specifically addresses some interesting mathematical connections between α- and β-diversity.
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  3. Carlo Ricotta (2005). Through the Jungle of Biological Diversity. Acta Biotheoretica 53 (1).
    Biological diversity would apparently seem the most intuitive and easily studied of all the ecological concepts. However, in practice biodiversity has suffered from great number of definitions that vary with the specific needs of the different researchers, thus making it extremely confusing as an ecological concept. In this paper, I shortly review the concept of biodiversity showing that there exists a substantial ambiguity among ecologists as far as biodiversity conceptualization and evaluation is concerned. I conclude that, due to this major (...)
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  4. Carlo Ricotta (2003). Additive Partition of Parametric Information and its Associated Β-Diversity Measure. Acta Biotheoretica 51 (2).
    A desirable property of a diversity index is strict concavity. This implies that the pooled diversity of a given community sample is greater than or equal to but not less than the weighted mean of the diversity values of the constituting plots. For a strict concave diversity index, such as species richness S, Shannon''s entropy H or Simpson''s index 1-D, the pooled diversity of a given community sample can be partitioned into two non-negative, additive components: average within-plot diversity and between-plot (...)
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  5. Carlo Ricotta (2003). Parametric Scaling From Species Relative Abundances to Absolute Abundances in the Computation of Biological Diversity: A First Proposal Using Shannon's Entropy. Acta Biotheoretica 51 (3).
    Traditional diversity measures such as the Shannon entropy are generally computed from the species' relative abundance vector of a given community to the exclusion of species' absolute abundances. In this paper, I first mention some examples where the total information content associated with a given community may be more adequate than Shannon's average information content for a better understanding of ecosystem functioning. Next, I propose a parametric measure of statistical information that contains both Shannon's entropy and total information content as (...)
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