  A non-conserving zero-range process with extensive creation, annihilation and
hopping rates is subjected to local resetting. The model is formulated on a
large, fully-connected network of states. The states are equipped with a
(bounded) fitness level: particles are added to each state at a rate
proportional to the fitness level of the state. Moreover, particles are
annihilated at a constant rate, and hop at a fixed rate to a uniformly-drawn
state in the network. This model has been interpreted in terms of population
dynamics: the fitness is the reproductive fitness in a haploid population, and
the hopping process models mutation. It has also been interpreted as a model of
network growth with a fixed set of nodes (in which particles occupying a state
are interpreted as links pointing to this state). In the absence of resetting,
the model is known to reach a steady state, which in a certain limit may
exhibit a condensate at maximum fitness. If the model is subjected to global
resetting by annihilating all particles at Poisson-distributed times, there is
no condensation in the steady state. If the system is subjected to local
resetting, the occupation numbers of each state are reset to zero at
independent random times. These times are distributed according to a Poisson
process whose rate (the resetting rate) depends on the fitness. We derive the
evolution equation satisfied by the probability law of the occupation numbers.
We calculate the average occupation numbers in the steady state. The existence
of a condensate is found to depend on the local behavior of the resetting rate
at maximum fitness: if the resetting rate vanishes at least linearly at high
fitness, a condensate appears at maximum fitness in the limit where the sum of
the annihilation and hopping rates is equal to the maximum fitness.
