Parametric Scaling from Species Relative Abundances to Absolute Abundances in the Computation of Biological Diversity: A First Proposal Using Shannon's Entropy

作者: Carlo Ricotta

DOI: 10.1023/A:1025142106292

关键词: ComputationRényi entropyParametric statisticsInformation theoryRelative species abundanceBiodiversityScalingEntropy (information theory)StatisticsMathematics

摘要: Traditional diversity measures such as the Shannon entropy are generally computed from species' relative abundance vector of a given community to exclusion absolute abundances. In this paper, I first mention some examples where total information content associated with may be more adequate than Shannon's average for better understanding ecosystem functioning. Next, propose parametric measure statistical that contains both and special cases general function.

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