The well-known von Bertalanffy growth model for describing age-length relat
ionship is formulated in a randomly fluctuating environment. The fluctuatio
ns in the system are assumed to be described by a Gaussian white noise stoc
hastic process. The resulting model, in terms of a stochastic differential
equation, is solved analytically. It is shown that the probability density
function of length of a fish is a Gaussian stochastic process. Finally, as
an illustration, the methodology is applied to a set of pearl oyster (Pinct
ada fucata (Gould)) data.