Analysis of Animal Space Use and Movements

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

doi:10.1016/b978-012497781-5/50006-2

Cited by 611 publications

(671 citation statements)

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“…Moreover, the decision of setting a grid cell size shall be based on the average (or median) distance between consecutive locations (White and Garrott 1990), and -in case of application of GPS -also take into consideration satellite reception and associated It is beyond the scope of this methodological discourse to examine other relatively complex techniques such as Fourier series and fractal estimators in more detail (for more exhaustive reviews see e.g. (Harris et al 1990, White and Garrott 1990, Powell 2000, Sterling et al 2000, Kernohan et al 2001. Recently, Kernel methods have become increasingly widespread in primate/animal ecology and are considered rather powerful (given that some underlying assumption such as independence of locational observations are met), e.g.…”

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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Section: Discussionmentioning

confidence: 99%

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

et al. 2008

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“…For every grid cell, all observations are averaged within a given kernel bandwidth (radius), whereby typical kernel functions weight the contributions of observations according to distance from the grid point, for example, through a bivariate normal function (Silverman 1986). As kernel density estimations are sensitive to select this parameter (Kernohan et al 2001). Narrow kernel bandwidths allow nearby observations to have the greatest influence on the density estimate and thus reveal the small-scale detail in data.…”

Section: Home Range Modelsmentioning

confidence: 99%

“…As variance in x and y coordinates of orang-utan location data was unequal, they were automatically rescaled with a unit variance before applying the smoothing parameter selection. Least Squares Cross Validation (LSCV: Silverman 1986, Worton 1995) smoothing parameter selection is currently the recommended smoothing parameter selection in the ecological literature (Seaman et al 1999), but it has been found to have several drawbacks (Kernohan et al 2001). For example, LSCV was criticised for its high variability and its tendency to under-smooth location data (Horne & Garton 2006b).…”

Section: Comparing Home Range Estimatorsmentioning

confidence: 99%

“…However, the biological rationale -peeling-, and Kernohan et al (2001) recommend kernel estimators as a technique that is less sensitive to outliers and should therefore be preferred. Finally, the MCP method yielded suboptimal home range estimates, even if subsampling from a larger data set ( fig.…”

Section: Estimating Home Range Sizementioning

confidence: 99%

“…Although grid cell count methods are capable of accounting for multiple centres of activity and are not affected by autocorrelation (Kernohan et al 2001), they are sensitive to outliers and dependant on cell size. As opposed to the grid cell counts, kernel estimates are based on a utilization distribution that describes the frequency distribution over a specific time (van Winkle 1975).…”

Section: Estimating Home Range Sizementioning

confidence: 99%

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Modelling ranging behaviour of female orang-utans: a case study in Tuanan, Central Kalimantan, Indonesia

2010

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Abstract:Quantification of the spatial needs of individuals and populations is vitally important for management and conservation. Geographic Information Systems (GIS) have recently become important analysis tools in wildlife biology, improving our ability to understand animal movement patterns, especially where very large data sets are collected. This study aims at combining the field of GIS with primatology to model and analyse spaceuse patterns of wild orang-utans. Home ranges of female orang-utans in the Tuanan Mawas forest reserve in Central Kalimantan, Indonesia were modelled with kernel density estimation methods. Kernel results were compared to Minimum Convex Polygon estimates, and were found to perform better, as they were less sensitive to sample size and produced more reliable estimates. Furthermore, daily travel paths were calculated from 970 complete follow days. Annual ranges for the resident females were approximately 200 hectares and remained stable over several years; total home range size was estimated to be 275 ha. On average, each female shared a third of her home range with each neighbouring female. Orang-utan females in Tuanan built their night nest on average 414 metres away from the morning nest, whereas average daily travel path length was 777 metres. A significant influence of fruit availability on day path length was found. Sexually active females covered longer distances per day and may also temporarily expand their ranges.

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Tropical Forest Conservation and Industry Partnership

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Analysis of Animal Space Use and Movements

Cited by 611 publications

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

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

Modelling ranging behaviour of female orang-utans: a case study in Tuanan, Central Kalimantan, Indonesia

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