作者: Carlo Ricotta
关键词: Computation 、 Rényi entropy 、 Parametric statistics 、 Information theory 、 Relative species abundance 、 Biodiversity 、 Scaling 、 Entropy (information theory) 、 Statistics 、 Mathematics
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.