Table 4.
Method: Relate | |||
Variable | Significance (%) | Rho. | |
Physiochemical data | 0.2% | 0.677 | |
Method: Best | |||
Variable | Physiochemical correlation (R) | ||
pH | 0.725 | ||
CH4%, Total VFAs, formic, and isobutyric | 0.724 | ||
Method: DistLM | |||
Variable | p value | Cumulative variance explained (%) | |
Marginal | |||
mL Biogas/g VS/day | 0.012 | – | |
CH4% | 0.039 | – | |
mL CH4/g VS/day | 0.006 | – | |
g VS/L | 0.004 | – | |
% VSR | 0.021 | – | |
pH | 0.003 | – | |
Total VFA | 0.005 | – | |
Sequential | |||
+ pH | 0.002 | 49.4% | |
Method: ANOSIM | |||
Factor | Global R | Significance level (%) | |
Physiochemical | RS:DM | 1.0 | 0.3 |
HRT | 0.75 | 4.7 | |
Beta-diversity | RS:DM | 0.81 | 2.2 |
HRT | 0.667 | 7.3 | |
Method: Permanova | |||
Factor | p value | Sq.root of estimates of component of variation | |
Physiochemical | RS:DM | 0.002 | 1.49 |
HRT | 0.004 | 0.57 | |
Beta-diversity | RS:DM | 0.018 | 2.62 |
HRT | 0.276 | 7.26 |
Tests–RELATE, giving correlation of comparisons (Rho); BEST, trend correlation; DistLM, distance based linear model; ANOSIM, analysis of similarities; PERMANOVA, permutational multivariate analysis of variance
aItalic indicates statistically significant results