Despite increased deployment of archival tags on exploited fish species, analytical methods for including archival tag data in fishery assessment models are lacking. We present a method for integrating archival tag data into a spatial tag–recapture model for estimating natural
mortality, fishing mortality, abundance, and movement. Archival tags provide important information on fish movement not available from conventional tags that facilitates separation of movement from mortality estimates. Using simulations, we evaluate the benefit of including archival tag data
in the model using two model formulations: one with a general spatial structure and one with movement and fishery dynamics based on juvenile southern bluefin tuna (SBT; Thunnus maccoyii). If fish are
not tagged in all regions and time periods, then including archival tag data can substantially improve the precision of the fishing mortality and movement estimates. For example, with the general spatial structure and specific scenario presented, standard errors of the fishing mortality estimates
decreased by an average of 34% (21%) when 25 archival tags were released in addition to 500 (2500) conventional tags in each region and period of tagging, respectively. Furthermore, with the SBT spatial structure, archival tag data were necessary for all parameters to be estimable.
Published continuously since 1901 (under various titles), this monthly journal is the primary publishing vehicle for the multidisciplinary field of aquatic sciences. It publishes perspectives (syntheses, critiques, and re-evaluations), discussions (comments and replies), articles, and rapid communications, relating to current research on cells, organisms, populations, ecosystems, or processes that affect aquatic systems. The journal seeks to amplify, modify, question, or redirect accumulated knowledge in the field of fisheries and aquatic science. Occasional supplements are dedicated to single topics or to proceedings of international symposia.