We simulated population dynamics of bighorn sheep (Ovis canadensis) inhabit
ing six discrete habitat patches in the Badlands ecosystem, South Dakota. M
odeled populations were subjected to a range of potential management action
s and rates of disease-causing infection. Simulated disease varied in sever
ity from mild (similar to 12% mortality) to severe (similar to 67% mortalit
y), with infections imposed once, at regular intervals, or with a fixed pro
bability each year. In the absence of disease, 200-year extinction rates we
re uniformly low and insensitive to changes in colonization rate or area of
suitable habitat. A single infection, accompanied by change in the area of
suitable habitat or colonization rate, resulted in extinction rates of up
to 40%, and large changes in average population size (up to 10-fold with ch
anges in area; 4-fold with changes in colonization rate). Simulations with
multiple infections, which are probably most realistic, generally resulted
in extinction rates that exceeded 20% over a 200-year period. Model results
clearly showed that efforts directed toward reducing the frequency or seve
rity of disease are of highest priority for improving the success of attemp
ts to restore bighorn sheep populations. Increases in areas of suitable hab
itat or improvements to corridors between existing habitat patches were far
less likely to improve persistence of simulated sheep populations than red
uctions in the impact of disease. Although theory predicts that enhanced mo
vements may exacerbate effects of disease, increased colonization rates res
ulted in relatively small but consistent increases in persistence and avera
ge population size for all combinations of parameters we examined.