菌根共生网络嵌套性判定的零模型选择
林力涛,马克明(
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Selection of null models in nestedness pattern detection of highly asymmetric mycorrhizal networks
LIN Li-Tao,MA Ke-Ming()
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图8. 矩阵温度(NT)与配对重叠度(NODF)间的相关性。Square, 对称网络, 行列数30/30; Asy, 非对称网络, 行列数5/55。随机化程度, 网络中无序单元格的数量/单元格总数量。随机程度包含4:100 (%)共计97水平, 每水平50个重复, 共计4 850矩阵。
Fig. 8. Correlation between matrix temperature (NT) and nestedness metric based on overlap and decreasing fill (NODF). Square, symmetric networks with rows and columns 30/30; Asy, asymmetric networks with rows and columns 5/55. Randomness, percentage of disordered cells deviates from fully nested matrix. Data contains a total of 4 850 matrices, with 4:100 (%) randomness degree 97 levels of, 50 repetitions per level.
