Hi Alec,
In the case of my tree pathogen, the effect of drought is probably
opposite, in the sense that weather conditions need to be humid and
moist in order for it to establish and trigger sporulation from the
infected host trees. Aside from this, precipitation play an
important role in spreading it locally within sites or neighboring
ones. The pathogen has previously been modeled on a weekly time
step, but the model did not include any tree succession nor used
LANDIS or any other FLM. So, yes, keeping the BDA at 1-year time
steps (with related output maps) while triggering outbreaks using
monthly climate data would make our model more realistic than using,
for example, average year temperature, precip, etc.
I am also hoping that a "dispersal" component will soon be
implemented in the BDA extension so that I can better account for
the pathogen spread at local scales. As of now, correct me if I am
mistaken, the epicenters for new outbreaks are still randomly
generated within outbreak zones, so I cannot tell the model that
each infected cell (site) on a landscape will generate spores to
infect neighboring sites (if site vulnerability is high enough in
terms of favorable food resources and climate conditions).
Francesco