I investigate these questions in the context of a simple birth-death
model in which time is continuous but space is discretized. Organisms
die at rate *mu*, and give birth at rate *beta*. A
birth event is long-distance with probability *p*, and is local
with probability *1-p*. I'm particularly interested in how
this sliding parameter *p* affects the spatial structure of the
population, and the way the population responds to disturbance.

All of this will be explained in a pair of papers I'm working on, although you're free to ask me for a preprint. In the meantime, you're welcome to play with the models and draw your own conclusions.