Identification of the Bray-Curtis similarity index: Comment on Yoshioka (2008)

In a recent As I See It, Yoshioka (2008, Mar Ecol Prog Ser 368:309-310) stated that the term Bray-Curtis should only be used for doubly-standardised data, and when data counts are used to calculate similarity, the term Czekanowski is correct; by using the wrong name, it is claimed, marine ecologists demonstrate a lack of knowledge and introduce confusion. This needs to be recti- fied. It is incorrect: (1) to confuse pretreatment of data with calculation of similarity (although both are part of a process, few ecologists would accept that it is logical for the name of a coefficient to alter depending on the data used to calculate it); (2) that the name for the coefficient calculated from counts is Czekanowski; (3) that terrestrial ecologists reserve the name Bray-Curtis for doubly- standardised data; (4) to assume that alternative names for coefficients cause confusion when it is clear which coefficient is used; (5) that this is a problem with software, or the way software is used. Yoshioka (2008) is right that pretreatments alter the rank order of similarities between samples, but this is not a novel observation, and it is why ecologists who know what they are doing use different pre-treatments. What ecologists mean by Bray-Curtis is well understood, and they do not mean Czekanowski's coefficient as originally described, although some textbooks confuse the 2 indices. We should maintain use of the term Bray-Curtis in community ecology.

[1]  H. Gleason,et al.  Some Applications of the Quadrat Method , 1920 .

[2]  K. R. Clarke,et al.  On resemblance measures for ecological studies, including taxonomic dissimilarities and a zero-adjusted Bray–Curtis coefficient for denuded assemblages , 2006 .

[3]  Paul J. Somerfield,et al.  Relationships between taxonomic resolution macrobenthic community patterns and disturbance , 1998 .

[4]  Daniel P. Faith,et al.  Compositional dissimilarity as a robust measure of ecological distance , 1987, Vegetatio.

[5]  D. W. Goodall,et al.  Sample Similarity and Species Correlation , 1978 .

[6]  K. R. Clarke,et al.  Change in marine communities : an approach to statistical analysis and interpretation , 2001 .

[7]  K. R. Clarke,et al.  Non‐parametric multivariate analyses of changes in community structure , 1993 .

[8]  C. Braak Canonical Correspondence Analysis: A New Eigenvector Technique for Multivariate Direct Gradient Analysis , 1986 .

[9]  J. T. Curtis,et al.  An Ordination of the Upland Forest Communities of Southern Wisconsin , 1957 .

[10]  P. Yoshioka Misidentification of the Bray-Curtis similarity index , 2008 .

[11]  K. R. Clarke,et al.  Dispersion-based weighting of species counts in assemblage analyses , 2006 .

[12]  William F. McComas,et al.  THE PRINCIPAL ELEMENTS OF THE NATURE OF SCIENCE: DISPELLING THE MYTHS , 1998 .

[13]  E. Odum Bird Populations of the Highlands (North Carolina) Plateau in Relation to Plant Succession and Avian Invasion , 1950 .

[14]  P. Somerfield,et al.  Relationships between taxonomic resolution and data transformations in analyses of a macrobenthic community along an established pollution gradient , 1997 .