The performance of 2 nonparametric estimators of species richness, the boot
strap (S-B) and kth-order jackknife (S-Jk), are compared using simulated pa
rasite communities. The parameters of the simulation match those of an earl
ier comparison that favored S-B as an estimator but did not include S-Jk. S
-Jk is the least biased of the 2 estimators. Whereas the bias of S-B is sig
nificantly affected by true species richness and the proportion of rare spe
cies, the bias of S-Jk is relatively insensitive to changes in these parame
ters, and is, therefore, recommended as a robust estimator of species richn
ess.