A new parametric measure of functional dissimilarity: Bridging the gap between the Bray-Curtis dissimilarity and the Euclidean distance

• The Euclidean distance is usually considered inappropriate for species abundance data. We thus propose a new measure that unifies the and Bray-Curtis dissimilarity. A generalization of this index to measurement functional dissimilarity also proposed. Community ecologists consider explore multivariate structure This because may lead counterintuitive result which two sample plots with no in common be more similar each other than share same list. To overcome paradoxical situation, abundances need normalized some way. Among many coefficients used by analysis assemblage data, certainly most commonly used. entails normalization species-wise differences between total both plots. By highlighting relationship distance, we parametric appropriate handling data on community composition. show how can generalized small dataset turnover along chronosequence Alpine grasslands illustrate behavior proposed measure.