Bandwidth Selection for Fixed-Kernel Analysis of Animal Utilization Distributions

Gitzen, Robert A.; Millspaugh, Joshua J.; Kernohan, Brian J.

doi:10.2193/0022-541x(2006)70[1334:bsffao]2.0.co;2

Cited by 274 publications

(236 citation statements)

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“…To do this, we developed both 50 and 95% 3-D penguin UDs. We included only foraging locations for all individuals combined and a 3-D kernel estimator using the 'ks' package (Duong 2013) in R. Kernels were smoothed using the default bandwidth selector (Gitzen et al 2006, Duong 2007.…”

Section: -D Kernel Udmentioning

confidence: 99%

Trophic cascades in the western Ross Sea, Antarctica: revisited

Ainley¹,

Ballard²,

Jones³

et al. 2015

Mar. Ecol. Prog. Ser.

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Section: -D Kernel Udmentioning

confidence: 99%

Trophic cascades in the western Ross Sea, Antarctica: revisited

Ainley¹,

Ballard²,

Jones³

et al. 2015

Mar. Ecol. Prog. Ser.

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“…Using this approach, we calculated the average size of the non-breeder's activity range and core area in this stop phase. Using the ks package (Duong 2007) in the statistics programme R (R Development Core Team 2014), we estimated the utilisation distribution (UD) of each individual via fixed kerneldensity estimation (Silverman 1986;Worton 1989) and the plug-in method to select the smoothing parameters (Wand and Jones 1995;Gitzen et al 2006). The plug-in method has been shown to be more reliable than more traditionally used methods (''first-generation'' methods such as leastsquares cross-validation) (Jones et al 1996), and even more so when its unconstrained version is used (Duong 2007).…”

Section: Activity-range Estimationmentioning

confidence: 99%

Shared space, individually used: spatial behaviour of non-breeding ravens (Corvus corax) close to a permanent anthropogenic food source

et al. 2015

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Natal dispersal is a well-studied phenomenon that can be divided into three stages: (1) starting from an area, (2) wandering to another area and (3) either settling in that area to breed or merely temporarily stopping there before continuing to wander. During the third phase, we can distinguish breeders from non-breeders, which may show similar or different patterns of space use. Breeding Common Ravens are territorial year-round; non-breeders are highly vagrant but may gather at food sources and night roosts for varying lengths of time. In contrast to the wandering phase, little is known about the space use of ravens at such ''stop'' sites. Here, we used radio telemetry to investigate the space use of 21 non-breeding ravens in the Austrian Alps during a stop stage at an anthropogenic food source. The tagged ravens were present in 69.2 % of the relocation attempts. They used only 27.0 ha (range 6.7-59.7 ha, 95 % utilisation distribution) of the study area, and their activity ranges strongly overlapped with each other. However, within this shared space, sub/adult non-breeders could be found at individually distinct locations, while juveniles showed similar spatial distributions. These results, combined with reported long-distance movements, underline the high behavioural flexibility of non-breeding ravens, which may be a reason for their success in very different habitats throughout the Northern Hemisphere.

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“…Least squares cross validation (LSCV) has frequently been suggested as an effective method for smoothing kernels (Worton 1989;Seaman and Powell 1996;Seaman et al 1999). However, LSCV has been shown to have a high failure rate for datasets with large sample sizes and tight clustering (Hemson et al 2005;Gitzen et al 2006). Furthermore, a comparison of lobster home range areas smoothed using LSCV and an ad hoc value generated by the AMAE, showed no significant difference between the two methods.…”

Section: Home Range Calculationsmentioning

confidence: 99%