Evaluating the sustainability of hunting is key to the conservation of spec
ies exploited for bushmeat. Researchers are often hampered by a lack of bas
ic biological data, the usual response to which is to develop sustainabilit
y indices based on highly simplified population models. However, the standa
rd indices in the bushmeat literature do not perform well under realistic c
onditions of uncertainty, bias in parameter estimation, and habitat loss. A
nother possible approach to estimating the sustainability of hunting under
uncertainty is to use Bayesian statistics, but this is mathematically deman
ding. Red listing of threatened species has to be carried out in extremely
data-poor situations: uncertainty has been incorporated into this process i
n a relatively simple and intuitive way using fuzzy numbers. The current me
thods for estimating sustainability of bushmeat hunting also do not incorpo
rate spatial heterogeneity. No-take areas are one management tool that can
address uncertainty in a spatially explicit way.