The investigation of species associations is a classical problem in ecology, in order to describe and predict environmental characteristics. In this contribution we apply the log-ratio approach to the analysis of species abundance data through the Aitchison geometry (Aitchison, 1986). The logratio transformations produce acceptable projections of the correlations among species in principal component space that will be used to analyze association among species. An application to a real dataset of the propose procedure is illustrated.
Monti, G., Migliorati, S. (2017). Compositional approach to the analysis of species abundance data. In The 7th International Workshop on Compositional Data Analysis. Proceedings book (pp.141-151). Abbadia San Salvatore : Karel Hron and Raimon Tolosana-Delgado.
Compositional approach to the analysis of species abundance data
Monti, GS;Migliorati, S.
2017
Abstract
The investigation of species associations is a classical problem in ecology, in order to describe and predict environmental characteristics. In this contribution we apply the log-ratio approach to the analysis of species abundance data through the Aitchison geometry (Aitchison, 1986). The logratio transformations produce acceptable projections of the correlations among species in principal component space that will be used to analyze association among species. An application to a real dataset of the propose procedure is illustrated.
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