Home range estimates vary with sample size and methods.

Accurate estimates of a primate's home range are important, yet methods vary greatly. This paper examines the accuracy of minimum convex polygon (MCP), adaptive kernel (AK) and fixed kernel (FK) estimators by comparing home range estimates of northern bearded saki monkeys (Chiropotes satanas chiropotes) living in forest fragments and continuous forest in the Brazilian Amazon area. MCP was more accurate than AK and FK in calculating home and day range when sample size was small, and AK overestimated range most frequently.