R程序包“rdacca.hp”在生态学数据分析中的应用: 案例与进展
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Application of “rdacca.hp” R package in ecological data analysis: case and progress
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图2. 5种环境因子对甲螨物种多度影响的相对重要性。变差分解和层次分割分析结果使用UpSet图来呈现。右侧点阵图中, 每行对应一个环境因子。对于每一列, 孤立黑点表示各环境因子的边际效应, 多点间连线表示这些环境因子间的共同效应, 各组分解释的变差百分比(来自变差分解)展示在上方柱形图中。左侧柱形图为各环境因子的单独效应(来自层次分割), 其值等同于该环境因子的边际效应加上与其他环境因子的共同效应的平均分配值。*, p < 0.05; ***, p < 0.001。 |
Fig. 2. UpSet matrix layout of variation partitioning and hierarchical partitioning results to show the relative importance of five environmental factors on oribatid mites abundance. In the dot-matrix plot on the right, each row corresponds to an environmental factor. For each column, the isolated black dot represents the marginal effect of each environmental factor, lines connecting multiple dots represent the common effect among these corresponding environmental factors, and the percentage of variation explained by each component (from variation partitioning) are shown in the top column diagram. Column diagram on the left shows individual effect of each environmental factor (from hierarchical partitioning), its value is equal to its marginal effect plus its average shared common effect with other environmental factors. *, p < 0.05; ***, p < 0.001. |
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