  A fundamental problem in the fields of population genetics, evolution, and
community ecology, is the fate of a single mutant, or invader, introduced in a
finite population of wild types. For a fixed-size community of $N$ individuals,
with Markovian, zero-sum dynamics driven by stochastic birth-death events, the
mutant population eventually reaches either fixation or extinction. The
classical analysis, provided by Kimura and his coworkers, is focused on the
neutral case, [where the dynamics is only due to demographic stochasticity
(drift)], and on \emph{time-independent} selective forces
(deleterious/beneficial mutation). However, both theoretical arguments and
empirical analyses suggest that in many cases the selective forces fluctuate in
time (temporal environmental stochasticity). Here we consider a generic model
for a system with demographic noise and fluctuating selection. Our system is
characterized by the time-averaged (log)-fitness $s_0$ and zero-mean fitness
fluctuations. These fluctuations, in turn, are parameterized by their amplitude
$\gamma$ and their correlation time $\delta$. We provide asymptotic (large $N$)
formulas for the chance of fixation, the mean time to fixation and the mean
time to absorption. Our expressions interpolate correctly between the constant
selection limit $\gamma \to 0$ and the time-averaged neutral case $s_0=0$.
