  We consider zero-range processes in ${\mathbb{Z}}^d$ with site dependent jump
rates. The rate for a particle jump from site $x$ to $y$ in ${\mathbb{Z}}^d$ is
given by $\lambda_xg(k)p(y-x)$, where $p(\cdot)$ is a probability in
${\mathbb{Z}}^d$, $g(k)$ is a bounded nondecreasing function of the number $k$
of particles in $x$ and $\lambda =\{\lambda_x\}$ is a collection of i.i.d.
random variables with values in $(c,1]$, for some $c>0$. For almost every
realization of the environment $\lambda$ the zero-range process has product
invariant measures $\{{\nu_{\lambda, v}}:0\le v\le c\}$ parametrized by $v$,
the average total jump rate from any given site. The density of a measure,
defined by the asymptotic average number of particles per site, is an
increasing function of $v$. There exists a product invariant measure ${\nu
_{\lambda, c}}$, with maximal density. Let $\mu$ be a probability measure
concentrating mass on configurations whose number of particles at site $x$
grows less than exponentially with $\|x\|$. Denoting by $S_{\lambda}(t)$ the
semigroup of the process, we prove that all weak limits of $\{\mu
S_{\lambda}(t),t\ge 0\}$ as $t\to \infty$ are dominated, in the natural partial
order, by ${\nu_{\lambda, c}}$. In particular, if $\mu$ dominates ${\nu
_{\lambda, c}}$, then $\mu S_{\lambda}(t)$ converges to ${\nu_{\lambda, c}}$.
The result is particularly striking when the maximal density is finite and the
initial measure has a density above the maximal.
