I used a stochastic model to study extinction probabilities in a simpl
e subdivided population composed of a source population regulated by d
ensity-dependent processes connected by varying patterns of dispersal
to a density-independent sink population. The only kind of stochastici
ty incorporated was demographic, and only one type of individual was c
onsidered in each population. Mathematical results are presented which
demonstrate that in this model (i) extinction is, ultimately, certain
; (ii) time to extinction has an approximately geometric distribution;
and (iii) the probability distribution of population size conditional
on non-extinction converges, as time increases, to a fixed probabilit
y distribution. Monte-Carlo simulations show that density-dependent di
spersal minimises the probability of extinction. Among types of densit
y-independent dispersal, two situations yield lower extinction probabi
lities: (i) no dispersal; and (ii) weak dispersal from the source to t
he sink and strong dispersal from the sink to the source. These result
s raise a number of questions, especially about the meaning of source
and sink populations in conservation biology.