A linear discriminant analysis showed that the sites had a unique soil composition.
Most species didn’t occur evenly across sites.
Nonetheless, models of different spatial configuration predicted similarly well.
A linear discriminant analysis based on soil variables showed that the plots clearly grouped by site. Site 1 had some overlap with sites 2 and 3, which makes sense as it was the middle plot.
Species tended to be widespread in only one or two sites. Possibly could test for evenness somehow. Chi squared?
Site 1 | Site 2 | Site 3 | Total | |
---|---|---|---|---|
R_burtoniae | 9 | 10 | 2 | 21 |
R_comptonii | 7 | 0 | 15 | 22 |
D_diversifolium | 6 | 12 | 16 | 34 |
A_delaetii | 21 | 16 | 18 | 55 |
A_fissum | 2 | 1 | 9 | 12 |
A_framesii | 8 | 4 | 0 | 12 |
C_spissum | 24 | 13 | 26 | 63 |
C_staminodiosum | 1 | 0 | 9 | 10 |
Dicrocaulon_sp | 10 | 16 | 3 | 29 |
Oophytum_sp | 1 | 11 | 2 | 14 |
Created seven models with different spatial configurations. Red represents plots used in the models, blue shows plots used as test data. Model 7 is an average of 20 randomisations
All models predicted almost equally well.
Species | Mod1 | Mod2 | Mod3 | Mod4 | Mod5 | Mod6 | Mod7 |
---|---|---|---|---|---|---|---|
R_burtoniae | 0.78 | 0.89 | 0.88 | 1.00 | 0.88 | 0.94 | 0.92 |
R_comptonii | 0.81 | NA | 0.95 | 0.96 | 0.96 | 0.92 | 0.91 |
D_diversifolium | 0.81 | 0.92 | 0.76 | 0.83 | 0.79 | 0.91 | 0.83 |
A_delaetii | 0.64 | 0.78 | 0.70 | 0.80 | 0.76 | 0.75 | 0.79 |
A_fissum | 0.49 | 0.27 | 0.72 | 0.65 | 0.63 | 0.42 | 0.61 |
A_framesii | NA | 0.63 | 0.57 | 0.55 | NA | 0.84 | 0.76 |
C_spissum | 0.62 | 0.66 | 0.69 | 0.67 | 0.66 | 0.86 | 0.69 |
C_staminodiosum | 0.72 | NA | 1.00 | 0.66 | 0.72 | 0.93 | 0.79 |
Dicrocaulon_sp | 0.73 | 0.85 | 0.59 | 0.72 | 0.77 | 0.79 | 0.85 |
Oophytum_sp | 0.94 | 0.77 | 0.96 | 0.92 | 0.94 | 0.87 | 0.87 |
There didn’t particularly seem to be a strong pattern with sample size.