Table 3.
Linear regression models fitted to the relationship between species abundance (Y) and average individual biomass (X) in the alpine and sub-alpine meadows evaluated
| Sites | n | Abundance measure | Regression equation | r | P |
|---|---|---|---|---|---|
| Azi | 50 | D | Y = −0·20 – 0·76X | −0·3579 | 0·0105 |
| F | Y = 0·71 – 0·19X | −0·1782 | 0·2110 | ||
| Maqu | 87 | D | Y = −0·52 – 1·01X | −0·3767 | 0·0001 |
| F | Y = 0·73 – 0·55X | −0·3243 | 0·0021 | ||
| Hezuo | 55 | D | Y = 1·29 – 0·50X | −0·3003 | 0·0243 |
| F | Y = 0·60 – 0·07X | −0·0930 | 0·4955 |
n refers to the total number of species used in the analyses. P and r values shown for density were obtained after bootstrapping with 10 000 simulations. D, density; F, frequency. P-values < 0·05 are in bold.