Table 1.

Cross‐sectional (a) and longitudinal (b) telomere dynamics and age in Seychelles warbler cohorts. Linear mixed models were created with relative telomere length (RTL) (a) or ∆RTL (b) as the response variable, and different measures of age, along with cohort ID, were included as explanatory variables (see Section 2 for details). Models are ranked by AIC_c, with best models at the top of the table

Model	df	AICc	Delta AICc	Weight
(a)
Cohort + Age (log)	27	−1,062.782	0	1
Age (quadratic) + Age (linear) + Cohort	28	−1,039.504	23.278	0
Age (linear) + Cohort	27	−1,035.072	27.71	0
Age (log)	6	−1,034.942	27.84	0
Cohort + Age (factor)	41	−1,027.498	35.284	0
Age (quadratic) + Age (linear)	7	−1,013.793	48.989	0
Age (linear)	6	−1,006.873	55.909	0
Age (factor)	20	−1,004.885	57.897	0
Cohort	26	−1,000.037	62.745	0
Null model	5	−989.909	72.873	0
(b)
Delta age (log) + Mean age	7	−370.124	0	0.459
Delta age (linear) + Mean age	7	−368.331	1.792	0.187
Cohort + Delta age (log) + Mean age	28	−367.567	2.556	0.128
Delta age (linear) + Delta age (quadratic) + Mean age	8	−366.53	3.594	0.076
Cohort + Delta age (linear) + Mean age	28	−366.467	3.657	0.074
Mean age	6	−365.397	4.726	0.043
Cohort + Delta age (linear) + Delta age (quadratic) + Mean age	29	−364.538	5.586	0.028
Cohort + Mean age	27	−360.94	9.184	0.005