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Comparison of survival rates between domesticated and semi-native char using Bayesian multi-variate state-space model.

Authors :
Yamashita, Yasunori
Iwasaki, Yuichi
Matsubara, Toshimitsu
Suzuki, Kyuma
Kanzawa, Yuhei
Okuda, Takehiro
Nishina, Kazuya
Strüssmann, Carlos Augusto
Source :
Fisheries Research. Jan2020, Vol. 221, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• We quantified stocking effectiveness of hybrid domesticated/native salmonids. • We used a Bayesian multi-variate state-space model to evaluate survivability. • Hybrid fish exhibit a 2.5-times higher survival rate than domesticated fish. • One-time crossbreeding can improve stocking effectiveness. Streams depleted of their native salmonid populations are often stocked with domesticated fish for supplementation. However, these domesticated salmonids have a lower adaptability to environmental conditions and thus have a lower survival rate than "native" salmonids. Recent studies suggest the stocking of "semi-native" strains of fish (hybrids between native males and domesticated females) as an alternative to domesticated fish. We evaluated the difference in the apparent survival rates of semi-native and domesticated juvenile char after their stocking in mountain streams. The analysis used multi-site variable time-series data with a Bayesian multi-variate state-space model reflecting the characteristics of the data, including time-series variation, site-specific effects, and observation error. The resulting odds ratio, which represents the general and potential strain effect of the semi-native char stocking, was 2.49 (95% CI = 2.12–2.94), implying that the apparent survival rate of the semi-native char was approximately 2.5 times higher than that of the domesticated char in the mountain streams studied. The results suggest that hybridization might be a viable approach for stocking and harvest augmentation of the commercial and recreational fisheries in fragmented populations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01657836
Volume :
221
Database :
Academic Search Index
Journal :
Fisheries Research
Publication Type :
Academic Journal
Accession number :
139347399
Full Text :
https://doi.org/10.1016/j.fishres.2019.105380