We study the longtime behaviour of interacting systems in a randomly fluctu
ating (space-time) medium and focus on models from population genetics. The
re are two prototypes of spatial models in population genetics: spatial bra
nching processes and interacting Fisher-Wright diffusions. Quite a bit is k
nown on spatial branching processes where the local branching rate is propo
rtional to a random environment (catalytic medium).
Here we introduce a model of interacting Fisher-Wright diffusions where the
local resampling rate (or genetic drift) is proportional to a catalytic me
dium. For a particular choice of the medium, we investigate the longtime be
haviour in the case of nearest neighbour migration on the d-dimensional lat
tice.
While in classical homogeneous systems the longtime behaviour exhibits a di
chotomy along the transience/recurrence properties of the migration. now a
more complicated behaviour arises. It turns out that resampling models in c
atalytic media show phenomena that are new even compared with branching in
catalytic medium.