Seasonal variation in size-dependent survival of juvenile Atlantic salmon (Salmo salar): performance of multistate capture–mark–recapture models

We estimated the magnitude and shape of size-dependent survival (SDS) across multiple sampling intervals for two cohorts of stream-dwelling Atlantic salmon ( Salmo salar ) juveniles using multistate capture–mark–recapture (CMR) models. Simulations designed to test the effectiveness of multistate mod...

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Bibliographic Details
Published in:Canadian Journal of Fisheries and Aquatic Sciences
Main Authors: Letcher, Benjamin H., Horton, Gregg E.
Format: Article in Journal/Newspaper
Language:English
Published: Canadian Science Publishing 2008
Subjects:
Online Access:http://dx.doi.org/10.1139/f08-083
http://www.nrcresearchpress.com/doi/full-xml/10.1139/F08-083
http://www.nrcresearchpress.com/doi/pdf/10.1139/F08-083
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Summary:We estimated the magnitude and shape of size-dependent survival (SDS) across multiple sampling intervals for two cohorts of stream-dwelling Atlantic salmon ( Salmo salar ) juveniles using multistate capture–mark–recapture (CMR) models. Simulations designed to test the effectiveness of multistate models for detecting SDS in our system indicated that error in SDS estimates was low and that both time-invariant and time-varying SDS could be detected with sample sizes of >250, average survival of >0.6, and average probability of capture of >0.6, except for cases of very strong SDS. In the field (N ∼750, survival 0.6–0.8 among sampling intervals, probability of capture 0.6–0.8 among sampling occasions), about one-third of the sampling intervals showed evidence of SDS, with poorer survival of larger fish during the age-2+ autumn and quadratic survival (opposite direction between cohorts) during age-1+ spring. The varying magnitude and shape of SDS among sampling intervals suggest a potential mechanism for the maintenance of the very wide observed size distributions. Estimating SDS using multistate CMR models appears complementary to established approaches, can provide estimates with low error, and can be used to detect intermittent SDS.