2008
DOI: 10.1016/j.ecolmodel.2008.02.042
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A synoptic model of animal space use: Simultaneous estimation of home range, habitat selection, and inter/intra-specific relationships

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Cited by 72 publications
(108 citation statements)
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“…Such indices may be particularly important in conservation decision-making for patchily-distributed species, and can aid in the identification and assessment of critical habitat both in and between current population patches (Harris et al 2008). One range modeling method, the synoptic model of animal space use, couples home range models with resource selection to characterize the influences of environmental variables on species utilization distributions (Horne et al 2008). Future studies should incorporate models like the synoptic space use model, to further our understanding of species range patterns, and inform conservation planning.…”
Section: Discussionmentioning
confidence: 99%
“…Such indices may be particularly important in conservation decision-making for patchily-distributed species, and can aid in the identification and assessment of critical habitat both in and between current population patches (Harris et al 2008). One range modeling method, the synoptic model of animal space use, couples home range models with resource selection to characterize the influences of environmental variables on species utilization distributions (Horne et al 2008). Future studies should incorporate models like the synoptic space use model, to further our understanding of species range patterns, and inform conservation planning.…”
Section: Discussionmentioning
confidence: 99%
“…These counts can be assumed to represent elephant refuges during the crop-monitoring period because the elephant population size and spatial distribution did not change significantly during the study period (Lobora 2010;Pittiglio et al 2013). The kernel smoothing parameter h was selected through the likelihood cross validation method (Horne and Garton 2006) using Animal Space Use 1.3. beta (Horne and Garton 2009). A threshold of 95 % of the probability volume contour (Kernohan et al 2001) defined the boundaries of the elephant refuges and of the cropraiding zones.…”
Section: Mapping Small and Large Farmsmentioning
confidence: 99%
“…To avoid over-or under-smoothing the data (Illian et al, 2008), the smoothing parameter h was selected through the likelihood cross validation (CVh) method (Horne and Garton, 2006). To calculate the elephant CVh per season we used Animal Space Use 1.3. beta (Horne and Garton, 2009). Kernel analysis was performed using Hawth's analysis tools 3.27 (Beyer, 2004).…”
Section: Estimate Of Elephant Seasonal Presencementioning
confidence: 95%