2008
DOI: 10.1159/000201092
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Home Range Estimates Vary with Sample Size and Methods

Abstract: 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 … Show more

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Cited by 185 publications
(118 citation statements)
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“…We calculated home range and day range via a minimum convex polygon (Odum and Kuenzler 1955). We did not use kernel density estimators (Worton 1987), another method for estimating home range, to calculate day range because they were inconsistent and overestimated the size of the area when sample size was low (Boyle et al 2009). We calculated the percentage of each forest fragment used by bearded saki monkeys via a minimum convex polygon for all bearded saki data points.…”
Section: Spatial Analysis: Home and Day Rangementioning
confidence: 99%
“…We calculated home range and day range via a minimum convex polygon (Odum and Kuenzler 1955). We did not use kernel density estimators (Worton 1987), another method for estimating home range, to calculate day range because they were inconsistent and overestimated the size of the area when sample size was low (Boyle et al 2009). We calculated the percentage of each forest fragment used by bearded saki monkeys via a minimum convex polygon for all bearded saki data points.…”
Section: Spatial Analysis: Home and Day Rangementioning
confidence: 99%
“…These findings concur with some studies (e.g., Burgman & Fox 2003, Bӧrger et al 2006, Nilsen et al 2008) that MCP should be avoided because of unpredictable bias, but are in sharp contrast to several recent studies that claim the MCP method is more accurate than kernel estimators (e.g., , Boyle et al 2009) and have large implications: many studies may be irrelevant if inappropriate methods were used to estimate area required for conservation purposes, research purposes, etc. The differences between these studies and the present study are likely based on speciesspecific ecology; the frogs in the present study restrict movement to within relatively small home ranges compared to highly motile animals such as snakes and monkeys.…”
Section: Home Range Sizesupporting
confidence: 87%
“…Data Analysis Home Range Estimation We estimated home ranges based on GPS data (larger coastal group: 2,773 points, smaller coastal group: 1,993 points, highland group: 891 points) by using the fixed kernel density method [Worton, 1989]. The difference in the sampling interval between the coastal and highland groups did not affect the estimation because sufficient data points were available for all 3 groups [Boyle et al, 2009]. The raster size was 10 × 10 m, and the smoothing parameter h was determined by an ad hoc technique.…”
Section: Behavioral Data Collectionmentioning
confidence: 99%