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. 2025 Dec 9;8(1):obaf047. doi: 10.1093/iob/obaf047

Table 2.

Hypotheses (A) and model selection results (B–D) for analyses examining sources of variation in circulating corticosterone in juvenile and adult Red Crossbills

2A Models and associated hypotheses
Model Hypothesis
Context + rTL Circulating corticosterone depends on individual or partner telomere lengths, independent of food availability
Context + body condition Circulating corticosterone depends on individual or partner body condition, independent of food availability
Context * rTL The relationship between circulating corticosterone and individual or partner telomere lengths depends on food availability
Context * body condition The relationship between circulating corticosterone and individual or partner body condition depends on food availability
2B Juvenile baseline CORT, individual predictors (n = 47)
Model Params ΔAICc Weight R 2
Context * Body condition 6 0.00 1.00 0.65/0.59
Context * rTL 6 17.75 0.00 0.32/0.31
Context + Body condition 5 18.43 0.00 NA/0.33
Context 4 19.11 0.00 NA/0.24
Context + rTL 5 20.15 0.00 NA/0.26
2C Adult stress-induced CORT, individual predictors (n = 46)
Model Params ΔAICc Weight R 2
Context + rTL 5 0.00 0.53 0.79/0.3
Context * rTL 6 0.41 0.43 0.73/0.19
Context 4 5.58 0.03 0.73/0.18
Context + Body condition 5 10.38 0.00 0.73/0.19
Context * Body condition 6 14.10 0.00 0.73/0.2
2D Juvenile baseline CORT, social partner predictors (n = 46)
Model Params deltaAICc Weight R 2
Context * Partner rTL 6 0.00 0.74 NA/0.34
Context + Partner rTL 5 3.42 0.13 0.37/0.28
Context 4 3.70 0.12 NA/0.24
Context + Partner body condition 5 7.97 0.01 NA/0.25
Context * Partner body condition 6 11.71 0.00 NA/0.25

Note: Circulating corticosterone was log-transformed before analysis and predictor variables were either measured from focal individuals to examine intrinsic influences (B, C) or social partners (D). Model tables in which the top supported model was the null model are not shown. All AICc tables associated with individual and social partner predictor variables can be found in Supplementary Tables 6 and 8, respectively. R2 values represent conditional (variance explained by fixed and random effects) and marginal (variance explained by fixed effects) values respectively. Conditional R2 with NA values represent estimates wherein the variance explained by random effects equals zero.