Table D1.

Model selection table for A) sex effect on kitten survival and B) litter size effect on kitten survival. For each model, we present the number of parameters (K), the difference from the top model in Akaike’s Information Criterion adjusted for overdispersion and small sample size (ΔQAIC_c), the model QAIC_c weight, and the estimates of annual kitten survival with standard error (for both sexes and the highest and lowest litter sizes). The QAIC_c values of the top models are 857.23 and 845.66, respectively (compare to QAIC_c values for the base models run with the same datasets of 856.76 and 845.64, respectively). See Table 1 for descriptions of the covariate models and Table 2 (model 5) for the base2 model. The litter size analysis was performed on a subset of the data (excluding kittens from litters of unknown size). All models estimate constant recapture and recovery rates (p(.)r(.)).

A. Sex models				Annual Kitten Survival Estimate (SE)
Survival Model	K	ΔQAICc	Weight	Female	Male
1. base2	7	0.00	0.725	0.296 (0.054)
2. base2 + k:sex	8	1.94	0.275	0.311 (0.068)	0.282 (0.065)
B. Litter size models				Annual Kitten Survival Estimate (SE)
Survival Model	K	ΔQAICc	Weight	1 kitten	4 kittens
1. base2	7	0.00	0.735	0.280 (0.050)
2. base2 + k:LS	8	2.04	0.265	0.279 (0.109)	0.280 (0.081)