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

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 exte...

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Bibliographic Details
Published in:Canadian journal of fisheries and aquatic sciences 2017-07, Vol.74 (7), p.1061-1076
Main Authors: Harris, Julianne E, Hightower, Joseph E
Format: Article
Language:English
Subjects:
Aquatic sciences
Bass
Computer simulation
Estimates
Fish
Fish stocking
Fishery research
Fishing
Freshwater
Marking
Morone saxatilis
Mortality
Reinforcement
Rivers
Simulation
Sound
Stock assessment
Striped basses
Studies
Tags
United States
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Summary: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.
ISSN:0706-652X
1205-7533
DOI:10.1139/cjfas-2016-0141