CHAPTER 17 Bray-Curtis (Polar) Ordination. Tables, Figures, and Equations. From: McCune, B. & J. B. Grace. 2002. Analysis of Ecological Communities . MjM Software Design, Gleneden Beach, Oregon http://www.pcord.com.
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Bray-Curtis (Polar) Ordination
Tables, Figures, and Equations
From: McCune, B. & J. B. Grace. 2002. Analysis of Ecological Communities.MjM Software Design, Gleneden Beach, Oregon http://www.pcord.com
How it works important refinements of Bray-Curtis ordination (from McCune & Beals 1993).
1. Select a distance measure (usually Sørensen distance) and calculate a matrix of distances (D) between all pairs of N points.
2. Calculate sum of squares of distances for later use in calculating variance represented by each axis.
4. Calculate position (xgi) of each point i on the axis g. Point i is projected onto axis g between two reference points A and B (Fig. 17.1). The equation for projection onto the axis is:
By the law of cosines,
Then substitute cos(A) from Equation 2 into Equation 3.
5. Calculate residual distances definition, Rgih (Fig. 17.2) between points i and h where f indexes the g preceding axes.
6. Calculate variance represented by axis definition, k as a percentage of the original variance (Vk%). The residual sum of squares has the same form as the original sum of squares and represents the amount of variation from the original distance matrix that remains.
7. Substitute the matrix definition, R for matrix D to construct successive axes.
8. Repeat steps 3, 4, 5, and 6 for successive axes (generally 2-3 axes total).
Figure 17.3. Example of the geometry of variance-regression endpoint selection in a two-dimensional species space.
Figure 17.4. Using Bray-Curtis ordination with subjective endpoints to map changes in species composition through time, relative to reference conditions (points A and B). Arrows trace the movement of individual SUs in the ordination space.
Figure 17.5. Use of Bray-Curtis ordination to describe an outlier (arrow). Radiating lines are species vectors. The alignment of Sp3 and Sp6 with Axis 1 suggests their contribution to the unusual nature of the outlier.