2017 journal article

An integrated tagging model to estimate mortality rates of Albemarle Sound - Roanoke River striped bass

CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES, 74(7), 1061–1076.

By: J. Harris n & J. Hightower n

TL;DR: An integrated tagging model to estimate mortality rates and run sizes of Albemarle Sound – Roanoke River striped bass (Morone saxatilis) suggests increasing sample size for the multistate component increases accuracy and precis... (via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

We developed an integrated tagging model to estimate mortality rates and run sizes of Albemarle Sound – Roanoke River striped bass (Morone saxatilis), including (i) a multistate component for telemetered fish with a high reward external tag; (ii) tag return components for fish with a low reward external or PIT tag; and (iii) catch-at-age data. Total annual instantaneous mortality was 1.08 for resident (458–899 mm total length, TL) and 0.45 for anadromous (≥900 mm TL) individuals. Annual instantaneous natural mortality was higher for resident (0.70) than for anadromous (0.21) fish due to high summer mortality in Albemarle Sound. Natural mortality for residents was substantially higher than currently assumed for stock assessment. Monthly fishing mortality from multiple sectors (including catch-and-release) corresponded to seasonal periods of legal harvest. Run size estimates were 499 000–715 000. Results and simulation suggest increasing sample size for the multistate component increases accuracy and precision of annual estimates and low reward tags are valuable for estimating monthly fishing mortality rates among sectors. Our results suggest that integrated tagging models can produce seasonal and annual mortality estimates needed for stock assessment and management.