Table 1.
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.