tions
<em>in silico</em> through simulation. Simulations can be parameterised
with initial conditions derived from empirical populations of
conservation interest to predict key social-ecological outcomes (e.g.,
resource extinction, agricultural yield) given uncertainty. The
sensitivity of these outcomes to different management options (e.g.,
population target, policies available, observation methods, budget
constraints, etc.) can thereby inform management decisions, even given
competing management objective