The dynamics of size-at-age variability
William S C Gurney1, A Roy Veitch
1Department of Statistics and Modelling Science, University of Strathclyde, Glasgow G1 1XH, Scotland. bill@stams.strath.ac.uk
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.
Related Concept Videos
Variability: Analysis
The range is a simple measure of variability, indicating the difference between the highest and...
Exponential Equations for Modeling Growth
Variation: Normal Distribution, Range, and Standard Deviation
One-Way ANOVA: Unequal Sample Sizes
Distributions to Estimate Population Parameter
Cell Size


