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. 2018 Jul 27;102(19):8599–8612. doi: 10.1007/s00253-018-9243-7

Table 4.

Test statistics for beta diversity as a function of physiochemical variables and other operational factors

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