We analyze simple models of predator-prey systems in which there is ad
aptive change in a trait of the prey that determines the rate at which
it is captured by searching predators. Two models of adaptive change
are explored: (1) change within a single reproducing prey population t
hat has genetic variation for vulnerability to capture by the predator
; and (2) direct competition between two independently reproducing pre
y populations that differ in their vulnerability. When an individual p
redator's consumption increases at a decreasing rate with prey availab
ility, prey adaptation via either of these mechanisms may produce sust
ained cycles in both species' population densities and in the prey's m
ean trait value. Sufficiently rapid adaptive change (e.g., behavioral
adaptation or evolution of traits with a large additive genetic varian
ce), or sufficiently low predator birth and death rates will produce s
ustained cycles or chaos, even when the predator-prey dynamics with fi
xed prey capture rates would have been stable. Adaptive dynamics can a
lso stabilize a system that would exhibit limit cycles if traits were
fixed at their equilibrium values. When evolution fails to stabilize i
nherently unstable population interactions, selection decreases the pr
ey's escape ability, which further destabilizes population dynamics. W
hen the predator has a linear functional response, evolution of prey v
ulnerability always promotes stability. The relevance of these results
to observed predator-prey cycles is discussed.