Appendix E. Results of partial principal components analysis (PCA) of the Hellinger distance-transformed species data using the complete set of environmental, historical, and spatial variables as covariables.
Table E1. Summary results of the partial PCAs.
Woody plants (P–A )
Woody plants (Den.)
Notes: P–A = presence–absence data; Den. = density data; Eigenval. = eigenvalues; Cum. % = the cumulative percentage variance of the species data, percentages being taken with respect to residual variance, i.e., the variance left after fitting the covariables.
|FIG. E1. Plots of sample scores on the two first axes of the partial PCAs (n = 350 plots). Diagrams are in sample scaling (ter Braak and Smilauer 2002). Plot names consist of an acronym representing the name of a given trail and two two-digit numbers referring to the trail end points. Hence, plots on the same trail with overlapping trail numbers will be contiguous, e.g., AVA_0203 and AVA_0304. (A) Herbs, presence–absence data. (B) Woody plants, presence–absence data. (C) Woody plants, density data.|
|FIG. E2. Plots of species scores on the two first axes of the partial PCAs. Diagrams are in species scaling with species scores divided by species standard deviations (ter Braak and Smilauer 2002). Species abbreviations correspond to the three first letters of the genus and species given in Appendix A. (A) Herbs, presence–absence data. (B) Woody plants, presence–absence data. (C) Woody plants, density data.|
ter Braak, C. J. F., and P. Smilauer. 2002. CANOCO reference manual and CanoDraw for Windows user's guide: software for canonical community ordination (version 4.5). Microcomputer Power, Ithaca, New York, USA.