Additional file 4: of The chemodiversity of paddy soil dissolved organic matter correlates with microbial community at continental scales

Table S3. Multivariate analysis of DOM data and drivers using canonical correspondence analysis (CCA) and non-metric multidimensional scaling (NMDS). Constrained (CCA) and unconstrained methods (NMDS and envfit) were used to compare and interpret effects of edaphic, geographical, and bacterial factors on the DOM chemodiversity. CCA1, CCA2, MDS1, and MDS2 stand for the angle cosines of variables and the axes. Pvals.1, empirical P values of fit statistic of environmental variables in CCA; Pvals.2, empirical P values of fit statistic using envfit to present environmental variables in NMDS; r2, goodness of fit statistic. Variables with Pvals.2 ≤ 0.001 were ticked on the “Fig. 3d” column and shown on Fig. 3d. Variables used in Fig. 3e were ticked on the “Fig. 3e” column. (XLSX 16 kb)

表S3 基于典范对应分析（canonical correspondence analysis，CCA）与非度量多维标度法（non-metric multidimensional scaling，NMDS）的溶解性有机质（Dissolved Organic Matter，DOM）数据及其驱动因子多元分析。本研究采用约束排序方法（CCA）与非约束排序方法（NMDS与envfit），比较并解析土壤因子、地理因子与细菌因子对DOM化学多样性的影响。其中CCA1、CCA2、MDS1与MDS2代表变量与排序轴的夹角余弦值。Pvals.1指代CCA分析中环境变量拟合统计量的经验P值；Pvals.2指代通过envfit方法在NMDS中展示环境变量时的拟合统计量经验P值；r2为拟合优度统计量。Pvals.2 ≤ 0.001的变量将在"Fig. 3d"列中标注，并在图3d中予以展示；图3e中所用变量将在"Fig. 3e"列中标注。（XLSX格式，16千字节）