2015
DOI: 10.1674/0003-0031-174.1.87
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Raccoon Spatial Requirements and Multi-Scale Habitat Selection within an Intensively Managed Central Appalachian Forest

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Cited by 13 publications
(14 citation statements)
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“…Optimized flight-line spacing to ensure that target animals are likely to encounter baits is a critical strategy consideration. Owen et al [ 63 ] estimated raccoon home range size in an undeveloped area as approximately 2.5 km 2 (females) and 4 km 2 (males) in a central Appalachian forest, but urban or suburban raccoon home ranges tend to be much smaller (e.g., average 0.2 km 2 ) if animals do not have to travel far for resources [ 64 ]. In the past, ORV flight-line spacing in the US and Canada varied from 500 to 1500 meters (see Table 1 ).…”
Section: Rabies Management Strategiesmentioning
confidence: 99%
“…Optimized flight-line spacing to ensure that target animals are likely to encounter baits is a critical strategy consideration. Owen et al [ 63 ] estimated raccoon home range size in an undeveloped area as approximately 2.5 km 2 (females) and 4 km 2 (males) in a central Appalachian forest, but urban or suburban raccoon home ranges tend to be much smaller (e.g., average 0.2 km 2 ) if animals do not have to travel far for resources [ 64 ]. In the past, ORV flight-line spacing in the US and Canada varied from 500 to 1500 meters (see Table 1 ).…”
Section: Rabies Management Strategiesmentioning
confidence: 99%
“…We additionally found two studies with a medium risk of bias providing information on other mammal biodiversity in road verges. One on raccoons Procyon lotor in the United States of America showed that they selected more road habitat than open habitat [75]. And a study on swamp wallabies Wallabia bicolor in Australia showed that their abundance was not statistically different between close to roads and far from roads [30].…”
Section: Is Vertebrate Biodiversity In Lti Verges Equal To Higher Omentioning
confidence: 99%
“…Despite the rising of sophisticated models to analyse habitat selection, the pioneering approach by Aebischer et al (1993) is still widely used (e.g. Lashley et al 2015;Owen et al 2015;Rhim et al 2015;Wagner et al 2015). The compositional data analysis by Aebisher et al (1993) has the merit of proceeding at animal level (Fattorini et al 2014): the statistical units are the single animals or, to be more rigorous, the home ranges of the single animals described by the relative percentages of the different cover types.…”
Section: Analysis Of Habitat Selectionmentioning
confidence: 99%