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.