{'fraction_non_alphanumeric': 0.025222551928783383, 'fraction_numerical': 0.0, 'mean_word_length': 5.617647058823529, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
An information-theoretical measure of β-diversity

ABSTRACT A measure of β-diversity based on the distribution of Kullback's information-theoretical divergence of single plots from the pooled sample is proposed for data on species relative abundances. Unlike other indices explicitly developed to summarise plot-to-plot variability along an environmental gradient, the proposed measure provides meaningful estimates of β-diversity independently of the presence of coenoclines. In the present study, a classical artificial data set is used to illustrate its application. Further, some analogies between the proposed measure and Whittaker's index of β-diversity are discussed.