Abstract
I monitored survival of 34 female white-tailed deer (Odocoileus virginianus) in Bloomington, Minnesota, from October 1996 to December 1999. Twenty deer died: nineteen were killed by vehicles, and one was killed in a deer-removal program conducted by an adjacent suburb. Summer survival was high and varied little over the 3 years of study (range = 0.93 to 0.95). Fall survival ranged from 0.84 to 1.00, and winter survival was generally high during the 3 years of study, except during a severe winter (range = 0.72 to 0.95). I calculated population growth rates (λ) from Leslie matrix projections, using these survival estimates and productivity data collected from road-killed female deer in the Twin Cities (Minneapolis-St. Paul, Minnesota, USA) metropolitan area. When winter survival was high (0.94), my model simulations indicated the Bloomington deer population increased by 21% when no deer management program was in place. When a low winter survival rate (0.72) was modeled, the population decreased by 7%, even when no deer management program was implemented. I modeled what impact contraception may have on population growth and concluded that treating >50% of adult female deer was necessary to stabilize population growth, and treating all females was necessary to decrease population growth under high winter survival conditions. I concluded that removal programs are more effective than immunocontraception programs because survival contributes more to population growth rates in deer populations than fecundity. I recommend removing 20% and 40% of adult female deer in the population to cause the population to stabilize or to reduce deer numbers, respectively. I recommend managers collect deer–vehicle collision data because these data potentially represent the most accurate and easily-obtainable life history component of an urban deer herd.
Recommended Citation
Grund, Marrett D.
(2011)
"Survival Analysis and Computer Simulations of Lethal and Contraceptive Management Strategies for Urban Deer,"
Human–Wildlife Interactions: Vol. 5:
Iss.
1, Article 5.
DOI: https://doi.org/10.26077/h5qc-r596
Available at:
https://digitalcommons.usu.edu/hwi/vol5/iss1/5