Optimal vertical distribution of a copepod population of equal competi
tors under predation hazard is modelled by ideal free distribution (IF
D). The foragers may be limited by both depletable (food) and non-depl
etable (temperature) resources. Individuals are assumed to maximize gr
owth rate per mortality risk (g/M). Mortality risk is assumed density-
dependent whenever the copepod concentration is high enough to satiate
predators. The growth rate depends upon temperature or food concentra
tion in absence of competition, and is density-dependent under competi
tion. These relationships may yield peaked habitat profitability curve
s. For L depths with peaked profitability curves, the computational co
mplexity scales to 3(l). Simplifying restrictions to allow numerical s
olutions when a large number of depths are available are presented and
discussed. At moderate and high copepod stock size, the restrictions
find the optimal distribution much faster, but at low stock sizes they
may predict suboptimal distributions. The model predicts that individ
uals shall be more sensitive to predation risk at low and moderate com
petitor abundance and more sensitive to resource input rate at higher
competitor abundances. Deviations from a food-based IFD are therefore
most pronounced at low copepod population size. The IFDs are compared
with predictions from a dynamic programming model with state- and time
-resolved motivation of the copepods. (C) 1997 Elsevier Science B.V.