SEAFWA 2015 has ended
Welcome to the technical sessions schedule for the 2015 SEAFWA Annual Meeting.

The technical schedule is capable of being sorted by date (i.e, Monday, Nov. 2), track (i.e. Wildlife Technical Sessions), or session (i.e. Wildlife Session #1). You can also search for a presentation title (i.e. Changing Landscapes by Coalition), key term (i.e. striped bass), or presenter last name (i.e. Weaver). The sort and search functions can be found on the navigation panel on the right side of this page. If you hover over the "Schedule" button, you’ll also see different schedule view options (i.e. Grid or Simple). Try selecting each of them to see which view you prefer. 

MY SCHEDULE FEATURE: It is not required of you to create a Sched.org account to use this site but if you do so, you’ll be able to use the "My Schedule" feature which allows you to create your own schedule for the conference. Click the "Sign Up" button in the top right corner of this page to create a Sched.org account. 

SCHEDULE UPDATES: The session abstracts and timeslots are subject to change. This site will be updated as changes come in; please check back for updates. 

MAIN SCHEDULE & WEBSITE: Click here to return to the main SEAFWA conference site. 
Back To Schedule
Tuesday, November 3 • 1:40pm - 2:00pm
County-level Factors Affecting Deer-vehicle Collisions in Tennessee

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Murray Gheesling, Eric Pelren, Bradley Ray, Jessica Cobb –University of Tennessee at Martin

The primary wildlife collision concern for drivers in Tennessee is white-tailed deer (Odocoileus virginianus). Our study examines county-level variables and deer-vehicle collisions (DVCs) in order to identify factors most responsible for DVCs in the state. Areas of DVCs are not randomly distributed. We assessed the relationship among DVCs, year, deer harvest levels (previous year and current year), human population, area km2, municipal km2, road km, cropland ha, and forested land ha for all 95 counties in Tennessee from 2004-2012 using Poisson regression analysis with log-link function and Akaike Information Criterion (AIC) modeling. We tested 13 a priori models. Results showed the all-variable model was most accurate, although models containing harvest previous year vs. harvest current year ranked higher even though the former was initially found to be insignificant. Our results suggest that DVCs in Tennessee are a complex matrix of variables. Our recommendations for management are quality deer management, roadside vegetation maintenance, fencing, and driver education including seasonal DVC awareness through media.

Tuesday November 3, 2015 1:40pm - 2:00pm EST
Ballroom Salon A

Attendees (0)