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CONFERENCE SCHEDULE UPDATES & CHANGES: As a result of the prolonged government shutdown, we experienced a number of cancellations and changes to the schedule. Cancellations and changes are listed here (as of January 26, 2019). 
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Tuesday, January 29 • 11:20am - 11:40am
(WILDLIFE: MAMMALS) Evaluating Survival and Cause-specific Mortality of Bobcats in West-central Illinois

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AUTHORS: Edward. D. Davis, Western Illinois University; Tim C. Swearingen, Western Illinois University; Robert W. Klaver, U.S. Geological Survey; Christopher N. Jacques, Western Illinois University

ABSTRACT: Increased understanding of mortality of bobcats (Lynx rufus) is a prerequisite to successful management programs, particularly as it relates to population dynamics and the role of population models in adaptive species management. Survival and cause-specific mortality of bobcats have been well documented in predominantly forested landscapes, but limited information has been collected in agriculturally-dominated Midwestern landscapes. Thus, our objective was to evaluate survival and cause-specific mortality rates of bobcats across agriculturally dominated landscapes of west-central Illinois. We captured and radio-collared 38 (20 males, 18 females) bobcats from January 2016 to September 2018. We used known fate models with the logit link function in Program MARK to estimate annual survival of bobcats, which accommodated staggered entry and exit times of radiocollared bobcats during our analysis interval. Because mortality events were limited, covariate modeling was not conducted. Nevertheless, we constructed a survival model in which survival was constant (S{<sub>constant</sub>}) between years and across sexes. We documented 11 deaths during our study; vehicle collisions was the leading cause of mortality and accounted for 5 (45%) mortality events. We attributed remaining deaths to harvest (n = 3; [1 legal, 1 illegal, 1 incidental harvest]), unknown (n = 1), other (n = 1), and capture-related factors (n = 1); we censored capture-related deaths from analyses. The estimated annual survival rate using model S{<sub>constant</sub>} was 0.74 (95% CI = 0.55–0.87). Bobcat survival monitoring is ongoing through 2019 and will evaluate potential effects of intrinsic and habitat variables on seasonal and annual survival rates.

Tuesday January 29, 2019 11:20am - 11:40am EST