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• W3098702982 abstract "Abstract Estimating survival using data on marked individuals is a key component of population dynamics studies resulting management and conservation decisions. When human impacts on populations are considerable, such decisions require not only estimating survival but also quantifying how much mortality is due to anthropogenic versus natural causes. This is of particular importance when individuals vary in their vulnerability to different causes of mortality due to, for example, their body size, developmental stage, or reproductive state. In this study we used multistate mark-recapture models to estimate the effects of individual body size on harvest- and background mortality risks of large freshwater brown trout (Salmo trutta). In doing so, we accounted for additional individual differences in vulnerability to cause-specific mortality by distinguishing individuals passing a hydroelectric dam on their spawning migration from those that reproduced below the dam instead and further investigate temporal patterns of and correlations among mortality hazard rates over 50 years. We found that harvest mortality was highest for intermediate-sized trout, and outweighed background mortality for almost the entire observed size range of trout. For trout spawning above the dam, background mortality decreased for larger body sizes and at lower river discharge. Both mortality causes, as well as the probability of spawning above the dam, varied substantially over time but a trend was evident only for fishers’ reporting rate, which decreased from an average of 80% to only 10% over half a century. Our model demonstrates how continuous size effects can be integrated into analyses of cause-specific mortality by using a novel parameterisation with hazard rates. This allowed us to estimate effects of both size and environment on harvest- and background mortality with-out confounding, and provided an intuitive way to estimate temporal patterns within and correlation among the mortality sources. In combination with compu-tationally fast custom MCMC solutions this modelling framework provides unique opportunities for studying individual heterogeneity in cause-specific mortality using mark-recapture-recovery data." @default.
• W3098702982 created "2020-11-23" @default.
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• W3098702982 date "2019-02-08" @default.
• W3098702982 modified "2023-10-08" @default.
• W3098702982 title "Estimating cause- and size- specific mortality hazard rates using mark-recapture-recovery data" @default.
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