To educate a man in mind and not in morals is to educate a menace to society. -Theodore Roosevelt
Roads are a widespread and increasing feature on most landscapes throughout the world, and their presence can have substantial negative consequences for many species of wildlife. Wildlife-vehicle collisions (WVCs) result in millions of mortalities of wildlife annually, and cause property damage, injury, and occasionally death for humans. Unless we find effective ways to reduce WVCs, this human-wildlife conflict will continue to threaten public support for conservation of wildlife more than any other. Recent studies suggest that landscape-scale factors may be important determinants of where WVCs occur, although these findings are often equivocal because of inconsistent data collection, small study areas, or subjective modeling procedures.
My objective is to improve predictive modeling procedures for identifying influences of WVCs. Specifically, I will: 1) use the landscape to delineate where hotspots of WVCs occur; 2) develop a large-scale predictive model for WVCs of white-tailed deer (Odocoileus virginianus) to inform broad scale management actions in the Midwestern US, and 3) develop spatio-temporal predictive models for locations of moose (Alces alces) WVCs throughout Maine to account for changes in landscapes through time. Results from this research are intended to provide resource managers with better information to reduce pervasive WVC problems throughout the Unites States. Ultimately, this will help support the future of wildlife conservation.
"The wildlife and its habitat cannot speak. So we must and we will."
-Theodore Roosevelt