Literature DB >> 17237914

The dynamics of size-at-age variability.

William S C Gurney1, A Roy Veitch.   

Abstract

In this paper, we propose a theoretical framework within which a unified treatment of the key sources of size-at-age variability-size dependence of growth rate, stochastic growth rate variations and individual-to-individual variability in growth performance-is possible. We use this framework to develop a general criterion for growth depensation in cohorts, which we define as the increase of the coefficient of variation of size-at-age, with increasing age. We use this criterion to show that size dependence of growth rate, acting alone, is depensatory only if the growth rate increases faster than linearly with size (that is, if growth is faster than exponential), while stochastic growth rate variation is invariably depensatory. Many species exhibit growth rates that scale less than linearly with size; indeed the commonly used von Bertalanffy model shows growth rates which actually decrease with size. In such a species, the size dependence of growth rate acts compensatorily, while stochastic growth rate variability is depensatory. We show that the tension between these two mechanisms leads to quasi-stationary size-at-age variability, which we can calculate analytically in some special cases and obtain by a simple numerical procedure where analysis is impractical.

Mesh:

Year:  2007        PMID: 17237914     DOI: 10.1007/s11538-006-9167-8

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  1 in total

1.  Individual-based models for stage structured populations: formulation of "no regression" development equations.

Authors:  Giuseppe Buffoni; Sara Pasquali
Journal:  J Math Biol       Date:  2009-08-11       Impact factor: 2.259

  1 in total

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