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. 2023 Jun 20;70(4):453–464. doi: 10.1093/cz/zoad023

Table 1.

Results of the model selection assessing the individuals’ position (PC1 and PC2) in network of interactions of the gracile mouse opossum Gracilinanus agilis in 4 dry woodland forest (cerradão) sites in the Brazilian savanna (Cerrado), according to 6 predictor variables

BF SE RTL BL SMI SX df logLik AICc ∆AICc Weight (w)
PC1 (54.1%)
 SE (Cool-dry) + RTL + BL + SMI 1.287 3.236 1.846 0.718 7 −596.615 1207.561 0.000 0.449
 Relative importance 0.254 1.000 0.918 0.860 0.865 0.167
PC2 (21.5%)
 SE (Cool-dry) 0.956 4 −440.264 888.645 0.000 0.279
 SE + RTL + BL 1.018 −0.879 −0.772 6 −438.679 889.605 0.960 0.172
 SE + BL 0.979 −0.297 5 −440.033 890.243 1.598 0.125
 SE + RTL 0.957 −0.118 5 −440.056 890.288 1.643 0.123
 Relative importance 0.110 1.000 0.425 0.434 0.139 0.090

PC1 and PC2 correspond to the PCA (see results for more details) of 5 individual-based network regarding specialization (NR and resource range) and centrality (degree, closeness, and betweenness). The percentage of the total variance explained by each PC is indicated between parentheses. The values given for each predictor variable are regression coefficients according to the GLMM using forest site as random effect. Numbers in bold indicate statistically significant effects (P ≤ 0.05) in the model. BF = botfly; SE = season; RTL = tail length relative to body size; BL = body length; SMI = scaled mass index (body condition); SX = sex.