Kernel Methods for Estimating the Utilization Distribution in Home‐Range Studies

Worton, Bruce J.

doi:10.2307/1938423

Cited by 3,453 publications

(2,446 citation statements)

References 19 publications

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“…We used the Kernel Density Estimator (KDE), representing the intensity with which a given area is used (Fieberg & Kochanny 2005), because it allows for the estimation of multiple centres of activities (Worton 1989;Kernohan et al 2001). However, KDE is sensitive to the choice of the smoothing parameter h (Fieberg 2007).…”

Section: Resultsmentioning

confidence: 99%

Helpers influence on territory use and maintenance in Alpine marmot groups

Pasquaretta

Busia

Ferrari

et al. 2015

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In social mammals, territory size and shape vary according to the number and strength of neighbour individuals competing for resources. Two main theories have been proposed to explain this variability: the Group Augmentation (GA) and the realized Resource Holding Potential (rRHP) hypotheses. The first states that the outcome of the interactions among groups depends on the total number of individuals in the group while the second states that only the number of animals directly involved in intergroup competition determines this outcome. We collected data on space use of individually tagged Alpine marmots ( Marmota marmota), a cooperative breeding species that overlaps part of its territory with neighbouring groups. In accordance with the rRHP hypothesis, we found that groups having higher proportion of helpers, rather than higher total number of individuals, had lower percentage of the territory overlapping with neighbouring groups and a larger area available for individual exclusive use.

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Section: Resultsmentioning

confidence: 99%

Helpers influence on territory use and maintenance in Alpine marmot groups

Pasquaretta

Busia

Ferrari

et al. 2015

Behav

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“…a probability density function that estimates an individual's or group's relative use of space. It shows the probability of locating an animal at a particular location on a plane (Worton 1989). Compared to the traditional MCP which only uses information about home range borders and assumes a uniform probability distribution, kernels give a more detailed and useful estimate of home range use and should be considered as alternatives to grid cell, MCP and adjusted polygons in future studies of snub-nosed monkeys.…”

Section: Discussionmentioning

confidence: 99%

Choice of analytical method can have dramatic effects on primate home range estimates

et al. 2008

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(2008Here, we propose an adjusted polygon method, whereby unsuitable and never visited areas are clipped out from the polygon, thus producing more accurate results. Compared to the grid cell method, the adjusted MCP is much more robust when the number of group relocations is limited; MCP turned out to be the method of choice for calculation of monthly and seasonal home ranges. The grid cell method on the other hand yielded the most precise estimates for total or annual home ranges. The style of ranging exhibited by a given primate taxon or population determines which analytical procedures should be applied to estimate home range size, and we would stress the need for thorough evaluation of the pros and cons of home range estimators before conducting field work and analysing data. yielded the most precise estimates for total or annual home ranges. The style of ranging a given primate taxon or population exhibits determines which analytical procedures shall be applied to estimate home range size, and we urge for a more thorough evaluation of pros and cons of home range estimators before conducting field work and analyzing data. Choice of an Analytical Method Can Have Dramatic Effects on Primate Home

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“…The minimum convex poly¬ gon method was chosen for ease of comparison with other studies. The fixed kernel method (Worton, 1989) was used to calculate seasonal home ranges. According to Seaman & Powell (1996), the fixed ker¬ nel estimate is less prone to overestimate the area of utilization and has lower error associated with the surface estimate.…”

Section: Study Areamentioning

confidence: 99%

Range size and seasonal movement for female woodland caribou in the boreal forest of northeastern Ontario

Brown¹,

Mallory²,

Rettie³

2003

Ran

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A preliminary examination was conducted of range size and distribution of female woodland caribou (Rangifer tarandus caribou) in northeastern Ontario. Annual and seasonal ranges were calculated using satellite telemetry data collected for 30 female caribou between 1998 and 2001. The mean annual home range size of collared females was 4026 km 2 . Seasonal ranges varied in size depending on time of year (P<0.05). Calving and summer ranges were significantly smaller than autumn and late winter ranges. Early winter ranges were significantly larger than calving ranges and small¬ er than late winter ranges. Overall, range sizes of female woodland caribou in northeastern Ontario were larger than those reported for caribou in other Boreal Forest regions across Canada.

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Kernel Methods for Estimating the Utilization Distribution in Home‐Range Studies

Cited by 3,453 publications

References 19 publications

Helpers influence on territory use and maintenance in Alpine marmot groups

Helpers influence on territory use and maintenance in Alpine marmot groups

Choice of analytical method can have dramatic effects on primate home range estimates

Range size and seasonal movement for female woodland caribou in the boreal forest of northeastern Ontario

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