Exploring the utility of different tag-recovery experimental designs for use in spatially explicit, tag-integrated stock assessment models

•Including tagging data improved spatial assessments regardless of release design.•Periodic releases balanced tradeoffs between tag program cost and parameter bias.•Time-varying movement was estimable with informative periodic tagging data.•Violation of tagging assumptions increased parameter bias more than ignoring movement.•Estimating tag mixing parameters was feasible and eliminated associated bias.