Table 2.
Multiple regressions on distance matrices (MRM) were employed to estimate the relatively explained variance of environmental factors on methanotrophic community structure (β-diversity).
| Steppe regions or types | Variable | R2 | p |
|---|---|---|---|
| All regions | MAT | 0.179 | 0.0001 |
| pH | 0.161 | 0.0001 | |
| AI | 0.161 | 0.0001 | |
| Loess | MAP | 0.735 | 0.0001 |
| AI | 0.727 | 0.0001 | |
| PC | 0.474 | 0.0001 | |
| Inner Mongolia | pH | 0.326 | 0.0001 |
| AI | 0.282 | 0.0001 | |
| MAP | 0.254 | 0.0001 | |
| Qinghai-Tibet | pH | 0.496 | 0.0001 |
| NH4+-N | 0.469 | 0.0001 | |
| TOC | 0.453 | 0.0001 | |
| Meadow | pH | 0.561 | 0.0001 |
| MAT | 0.524 | 0.0001 | |
| TOC | 0.418 | 0.0001 | |
| Typical | MAT | 0.558 | 0.0001 |
| PC | 0.371 | 0.0001 | |
| MBC | 0.245 | 0.0001 | |
| Desert | MAT | 0.534 | 0.0001 |
| AI | 0.358 | 0.0001 | |
| TP | 0.197 | 0.0001 |
MAT, Mean annual temperature; AI, Aridity index; MAP, Mean annual precipitation; PC, Plant coverage; TOC, Total organic carbon; MBC, Microbial biomass carbon; TP, Total phosphorus. In the table, for each region and grassland type, only the top three factors with the highest explanatory power, sorted in descending order of their explanatory degrees, are displayed.