A generalized application of the catch-curve regression with comparisons of adult mortality and year-class strength between hatchery-stocked and wild-reared lake trout in US waters of Lake Huron
The recently developed approach to estimating the instantaneous total mortality of coded-wire-tagged lake trout (Salvelinus namaycush) is generally applicable to catch-at-age data. We further formalized the technique to objectively incorporate the year-class and year effects into the model structure...
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Published in | Canadian journal of fisheries and aquatic sciences Vol. 80; no. 10; pp. 1714 - 1722 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Ottawa
NRC Research Press
01.10.2023
Canadian Science Publishing NRC Research Press |
Subjects | |
Online Access | Get full text |
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Summary: | The recently developed approach to estimating the instantaneous total mortality of coded-wire-tagged lake trout (Salvelinus namaycush) is generally applicable to catch-at-age data. We further formalized the technique to objectively incorporate the year-class and year effects into the model structure of catch-curve regression. We used this new method to compare adult mortality and year-class strength between the hatchery-stocked and wild-reared lake trout in US waters of Lake Huron, one of the Laurentian Great Lakes. Model comparisons showed no difference in adult mortality between the hatchery- stocked and wild-reared lake trout. Based on 95% confidence intervals, the estimate of adult mortality using the simple catch- curve regression with average number-at-age was not statistically different from the estimate using the linear mixed model with individual number-at-age of multiple year-classes and sampling years. The linear mixed model, however, also quantified lake trout year-class strength and indicated that since 2003, the increases in recruitment of wild-reared lake trout did not fully compensate for the rapid declines in recruitment of hatchery-stocked lake trout in Lake Huron. |
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ISSN: | 0706-652X 1205-7533 |
DOI: | 10.1139/cjfas-2022-0275 |