2006
DOI: 10.1016/j.biocon.2005.11.002
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Assessing the impacts of roads in peri-urban reserves: Road-based fatalities and road usage by wildlife in the Royal National Park, New South Wales, Australia

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Cited by 131 publications
(84 citation statements)
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“…Recent work has shown that vertebrate populations living in or near urban environments are more frequently exposed to diseases (Riley et al, 2004; see also Schillaci et al, 2006), which could in turn increase human exposure to diseases (Fuentes, 2006. Urban vertebrate populations may also be more frequently exposed to road-based fatalities (Ramp et al, 2006), hunting pressures (Brashares et al, 2001;[Waite, 2007]), and exotic predators (Engeman et al, 2006). Further, when animal populations benefit from the availability of food and water resources found near urban centers, their population sizes may reach pest levels and human perceptions towards those animals may become negative (e.g., crows: Marzluff et al, 2001;primates: Hill, 2000primates: Hill, , 2002elephants: Sitati and Walpole, 2006).…”
Section: Discussionmentioning
confidence: 99%
“…Recent work has shown that vertebrate populations living in or near urban environments are more frequently exposed to diseases (Riley et al, 2004; see also Schillaci et al, 2006), which could in turn increase human exposure to diseases (Fuentes, 2006. Urban vertebrate populations may also be more frequently exposed to road-based fatalities (Ramp et al, 2006), hunting pressures (Brashares et al, 2001;[Waite, 2007]), and exotic predators (Engeman et al, 2006). Further, when animal populations benefit from the availability of food and water resources found near urban centers, their population sizes may reach pest levels and human perceptions towards those animals may become negative (e.g., crows: Marzluff et al, 2001;primates: Hill, 2000primates: Hill, , 2002elephants: Sitati and Walpole, 2006).…”
Section: Discussionmentioning
confidence: 99%
“…This will be accomplished by determining and describing the location of road kill aggregations Ramp et al 2006), which tend to be linked to specific habitats and landscape types within the road vicinity (Forman and Alexander 1998;Caro et al 2000;Gomes et al 2008).…”
Section: Introductionmentioning
confidence: 99%
“…In all of the deaths, the K function was obtained with ArcGIS Kernel Density Tools by being taken as a normal (Gaussian) function. Ramp et al (2005) and Gomes et al (2009) took the bandwidth as 500 m; Ramp et al (2006) took it as 300 m. To choose different bandwidths (250 m, 500 m, 750 m, 1000 m, 1250 m, 1500 m, 2000 m, 3000 m) the bandwidths were applied visually one by one. While kernel density maps were very sensitive at high bandwidths, they were less so at low bandwidths.…”
Section: Hotspot Identificationmentioning
confidence: 99%