2015
DOI: 10.1016/j.landurbplan.2015.03.006
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Ecological connectivity analysis to reduce the barrier effect of roads. An innovative graph-theory approach to define wildlife corridors with multiple paths and without bottlenecks

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Cited by 95 publications
(48 citation statements)
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“…For example, one model was constructed specifically to identify ideal locations for crossing structures for the endangered Florida panther (Puma concolor coryi) using GPS collar data and wildlife-vehicle collision reports [140]. Another model was developed to identify habitat patches that could be restored and define wildlife corridor locations that would have the best chance of increasing landscape connectivity [141]. Again predictive models may prove to be an essential tool in the road planning and mitigation stages of future road development.…”
Section: Survey Design and Mitigationmentioning
confidence: 99%
“…For example, one model was constructed specifically to identify ideal locations for crossing structures for the endangered Florida panther (Puma concolor coryi) using GPS collar data and wildlife-vehicle collision reports [140]. Another model was developed to identify habitat patches that could be restored and define wildlife corridor locations that would have the best chance of increasing landscape connectivity [141]. Again predictive models may prove to be an essential tool in the road planning and mitigation stages of future road development.…”
Section: Survey Design and Mitigationmentioning
confidence: 99%
“…Finally, a comprehensive understanding of animal movement across high‐traffic roads can better inform models that use such data to maintain connectivity of populations into the future (e.g., Loro et al. ).…”
Section: Discussionmentioning
confidence: 99%
“…The human populace would benefit by this as well, because traffic accidents involving wildlife can be dangerous for drivers that either hit an animal directly or swerve to avoid it (Conover et al 1995). Finally, a comprehensive understanding of animal movement across high-traffic roads can better inform models that use such data to maintain connectivity of populations into the future (e.g., Loro et al 2015).…”
Section: Management Implicationsmentioning
confidence: 99%
“…Analysis at finer-scales should be made to get more accurate information (position, slope, environment, and others) for decision-making. In the future, a suggested more feasible way is to emphasize ecological connectivity during infrastructure planning [42].…”
Section: Discussionmentioning
confidence: 99%