Table 2.

Prior distributions and hyperparameters in our statewide Bayesian state-space model using age-at-harvest data, split into recruitment and survival parameters.

Recruitment Parameters
Variable	Parameter	Mean	Distribution
LS-a	Litter Size 2.5-year-olds	2.00	Gamma (20,10)
LS-b	Litter Size 3.5-year-olds	2.00	Gamma (20,10)
LS-c	Litter Size 4.5-year-olds	2.00	Gamma (20,10)
LS-d	Litter Size 5.5+ year-olds	2.74	Gamma (16.4,6)
PR-a	Pregnancy Rate 2.5-year-olds	0.003	Beta (2.61,1000)
PR-b	Pregnancy Rate 3.5-year-olds	0.25	Beta (34,100)
PR-c	Pregnancy Rate 4.5-year-olds	0.53	Beta (54,48)
PR-d	Pregnancy Rate 5.5+ year-olds	0.48	Beta (47,50)
SP	Sex Proportion (female)	0.46	Beta (426, 500)
Survival Parameters
Variable	Parameter	Mean	Long-Term Precision	Annual Precision
HSm	Male Harvest Survival	0.77	3	Gamma (20,0.5)
HSf	Female Harvest Survival	0.85	3	Gamma (20,0.5)
NS	Non-harvest Survival	0.95	4	Gamma (20,0.5)
CubSa	Cub Survival years 0.0–0.5	0.84	4	n/a
CubSb	Cub Survival years 0.5–1.5	0.71	4	n/a
Rep	Recovery Rate	0.98	2	n/a

We include the variable, parameter description (for gamma distributions these are the shape and rate), mean and distribution used. For survival prior distributions the means are given at the real parameter scale and long-term and annuals precisions (1/variance) are at the link scale (loglog).