Schoener’s D and Niche similarity significance levels relative to ordination methods and Species Distribution Models used to carry out niche comparison.

LDA = Linear Discriminant Analysis; Maxent 1 and 2 = Maximum Entropy Algorithm analysis made using in turn one of the two Maxent outputs generated by either population (or species) as the comparison background against which the output of the remainder was contrasted; MDS = Multidimensional scaling; PCA environmental = Principal Component Analysis calibrated on the whole environmental space including the presence records where the species occur; PCA occurrence = Principal Component Analysis calibrated with EGV values associated with the occurrences of the species; Within environmental = Within-group calibrated on the whole environmental space. + = similarity; − = dissimilarity.
Schoener’s D and Niche similarity significance levels relative to ordination methods and Species Distribution Models used to carry out niche comparison.

线性判别分析（Linear Discriminant Analysis）；Maxent 1与2：依次以两个种群（或物种）生成的其中一个Maxent输出作为对照背景，将其余输出与该背景进行对比所开展的最大熵算法（Maximum Entropy Algorithm）分析；多维标度（Multidimensional scaling）；环境主成分分析（Principal Component Analysis，PCA environmental）：基于包含物种出现记录的完整环境空间完成校准的主成分分析；出现位点主成分分析（Principal Component Analysis，PCA occurrence）：基于与物种出现位点相关的EGV值完成校准的主成分分析；组内分析（Within environmental，Within-group）：基于完整环境空间完成校准的组内分析。符号+代表相似性，符号−代表差异性。Schoener’s D指数与生态位相似性显著性水平，对应用于开展生态位对比的排序方法及物种分布模型。