Appendix1. Eigenvectors and eigenvalues from the RDA for individual species traits.
Eigenvectors / RDA1 / RDA2 / RDA3 / RDA4 / RDA5 / RDA6height / 2.030 / 0.564 / 0.337 / 0.099 / 0.000 / -0.000
toughness / 3.448 / 0.021 / -0.204 / -0.124 / -0.005 / -0.002
biomass / -0.049 / 0.067 / 0.074 / -0.071 / 0.054 / 0.046
SLA / -1.260 / 1.017 / -0.147 / -0.076 / -0.017 / -0.000
thickness / 0.493 / 0.158 / -0.280 / 0.204 / 0.063 / 0.005
LDMC / 0.082 / -0.028 / -0.015 / 0.018 / 0.004 / 0.001
turnover / 0.265 / -0.038 / -0.081 / 0.086 / -0.124 / 0.029
formation / 0.036 / 0.052 / -0.004 / 0.011 / -0.018 / -0.044
Eigenvalue / Proportion / Cumulative
1 / 2.763 / 0.910 / 0.910
2 / 0.214 / 0.070 / 0.980
3 / 0.041 / 0.014 / 0.994
4 / 0.013 / 0.004 / 0.998
5 / 0.004 / 0.001 / 1.000
6 / 0.001 / 0.000 / 1.000
Appendix 2. Scree plot for the RDA using individual species trait data. For the three baseline and threeenriched species examined, the first 2 RDA axes explained 98.0% of the variation in the individual species traits (see Appendix 1 for eigenvalues and -vectors for this analysis).
Appendix 3. Eigenvectors and eigenvalues from the RDAusing community aggregate traits.
height / -1.078 / 0.361 / -0.062 / 0.138 / 0.012 / 0.001
toughness / -0.522 / 0.038 / -0.369 / -0.132 / 0.001 / -0.001
biomass / -0.168 / 0.031 / 0.005 / 0.011 / -0.077 / -0.027
LDMC / 0.045 / -0.005 / -0.044 / -0.003 / -0.002 / 0.010
SLA / -0.657 / -0.986 / 0.078 / -0.001 / -0.000 / 0.003
thickness / 0.657 / -0.360 / -0.317 / 0.127 / -0.003 / -0.001
turnover / -0.012 / 0.069 / -0.012 / -0.001 / -0.042 / 0.046
formation / -0.038 / 0.007 / 0.006 / 0.013 / -0.013 / 0.013
Eigenvalue / Proportion / Cumulative
1 / 0.548 / 0.599 / 0.599
2 / 0.293 / 0.320 / 0.919
3 / 0.059 / 0.064 / 0.983
4 / 0.013 / 0.014 / 0.997
5 / 0.002 / 0.002 / 0.999
6 / 0.001 / 0.001 / 1.000
Appendix 4. Scree plot for the RDA using community aggregate trait data. The first twoRDA components described 91.9% of the variation in the data (see Appendix 3 for eigenvalues and -vectors for this analysis).