Ecologists and epidemiologists have begun focusing on demographic stochasti
city and spatial heterogeneity as important biological factors. With high-p
owered computers simulation of such systems is a common modelling technique
; however we lack a detailed understanding of the processes involved. Momen
t closure approximations provide a simple method which can be used to captu
re the main features of a wide variety of stochastic models and to gain a m
ore intuitive understanding. In this paper we give an alternative variation
based on multiplicative moments which is equivalent to taking a novel thir
d-order cumulant approximation. The differential equations for these multip
licative moments are far more robust than their additive counterparts. We u
se this technique to consider the behaviour and persistence of finite metap
opulations for two common ecological systems. (C) 2000 Academic Press.