Optimality theory predicts that, provided that a larva resulting from
superparasitism has some chance of winning the competition with the ot
her larvae present in the host, under certain conditions, solitatry pa
rasitoids should resort to superparasitism. Both theoretical and exper
imental studies have shown that the life expectancy of the parasitoid
has a strong influence on the decision to reject or to accept superpar
asitism. In many species, life expectancy on its turn depends on the f
eeding behaviour of the parasitoids, which have to forage for non-host
food (mainly plant materials), for the maintenance of their energy re
serves. As many solitary parasitoids do not find non-host food in thei
r host patches, they have to choose at each instant whether to search
for food or to search for hosts. In this paper, we develop a stochasti
c dynamic programming model to study the behavioural choice between ho
st and food searching, and its consequences for the acceptance and rej
ection of superparasitism. We study the influence of habitat quality a
nd parasitoid physiological state on the optimal choice. The model pre
dicts that the crucial point determining the optimal strategy is the b
alance between egg-and time-limitation.