Biphasic growth in fish II:Empirical assessment

Quince, Christopher, Shuter, Brian J., Abrams, Peter A. and Lester, Nigel P. (2008) Biphasic growth in fish II:Empirical assessment. Journal of Theoretical Biology, 254 (2). pp. 207-214. ISSN 0022-5193

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Abstract

In [Quince, et al., 2008. Biphasic growth in fish I: Theoretical foundations. J. Theor. Biol., doi:10.1016/j.jtbi.2008.05.029], we developed a set of biphasic somatic growth models, where maturation is accompanied by a deceleration of growth due to allocation of energy to reproduction. Here, we use growth data from both hatchery-raised and wild populations of a large freshwater fish (lake trout, Salvelinus namaycush) to test these models. We show that a generic biphasic model provides a better fit to these data than the von Bertalanffy model. We show that the observed deceleration of somatic growth in females varies directly with gonad weight at spawning, with observed egg volumes roughly 50% of the egg volumes predicted under the unrealistic assumption of perfectly efficient energy transfer from somatic lipids to egg lipids. We develop a Bayesian procedure to jointly fit a biphasic model to observed growth and maturity data. We show that two variants of the generic biphasic model, both of which assume that annual allocation to reproduction is adjusted to maximise lifetime reproductive output, provide complementary fits to wild population data: maturation time and early adult growth are best described by a model with no constraints on annual reproductive investment, while the growth of older fish is best described by a model that is constrained so that the ratio of gonad size to somatic weight (g) is fixed. This behaviour is consistent with the additional observation that g increases with size and age among younger, smaller breeding females but reaches a plateau among older, larger females. We then fit both of these optimal models to growth and maturation data from nineteen wild populations to generate population-specific estimates of 'adapted mortality' rate: the adult mortality consistent with observed growth and maturation schedules, given that both schedules are adapted to maximise lifetime reproductive output. We show that these estimates are strongly correlated with independent estimates of the adult mortality experienced by these populations.

Item Type: Article
Additional Information: Funding Information: We would like to thank two anonymous referees for useful comments. We would like to thank Bill Sloan for collecting the hatchery data used in this study. We would also like to thank Jenni McDermid and Jessica Au for helping process that data. Bryan Henderson provided data on lake trout energy densities for which we are very grateful. Itoh Kamarou assisted in entering that data. We greatly appreciate the contribution of wild population data from Fisheries and Oceans Canada, Ontario Ministry of Natural Resources, and the Société de la Faune et des Parcs du Québec. Eric Prevost and Trevor Middel compiled the wild lake trout population database. Martyn Plummer provided source code for JAGS 0.90 and advice in editing that code. Work was supported by a Natural Sciences and Engineering Research Council of Canada Strategic Project grant.
Uncontrolled Keywords: bayesian,growth model,lake trout,life-history,von bertalanffy,statistics and probability,modelling and simulation,biochemistry, genetics and molecular biology(all),immunology and microbiology(all),agricultural and biological sciences(all),applied mathematics ,/dk/atira/pure/subjectarea/asjc/2600/2613
Faculty \ School: Faculty of Science > School of Biological Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 12 Sep 2022 11:30
Last Modified: 23 Sep 2022 02:53
URI: https://ueaeprints.uea.ac.uk/id/eprint/88132
DOI: 10.1016/j.jtbi.2008.05.030

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