Welcome to the technical sessions schedule for the 2015 SEAFWA Annual Meeting.
NEW THIS YEAR! 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.
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Jared Beaver, Craig Harper, Lisa Muller, P. Seth Basinger, Matthew Goode –University of Tennessee; Frank T. van Manen, U.S. Geological Survey
Use of infrared-triggered camera (hereafter; camera) surveys for white-tailed deer (Odocoileus virginianus; deer) population density estimation, while popular among land managers, does not currently provide an estimate of precision critical for accurate density estimation. We believed that incorporating spatial aspects of sampling into the analytical process would allow a means for providing both estimates of precision associated with density estimates and an ability to calculate effective capture area. We conducted camera surveys for deer in Units 1 (1,385 ha) and 2 (1,488 ha) at Arnold Air Force Base, Tennessee, USA, August 2010. We used spatially explicit capture-recapture (SECR) data with Program DENSITY to fit a spatial detection function (g0; probability of detection at a single detector at a distance from the center of the home range) and estimate antlered male density from individuals identified based on antler criteria. Antlered male density estimates were similar between camera surveys using traditional sampling techniques (abundance estimated based on recaptures of recognizable antlered males from camera images; 2.0 males/km2 and 2.6 males/km2) and SECR density estimation (1.6 males/km2 [SE = 0.33, g0 = 0.24] and 2.5 males/km2 [SE = 0.56, g0 = 0.14]), for Units 1 and 2, respectively. Both estimation methods indicated lower deer density in Unit 1 versus 2. Analysis of camera surveys using spatial modeling uses the data from the spatial distribution of cameras and does not require the assumption of equal detectability. Use of spatial modeling can improve current camera survey methods by providing both a measure of precision that is currently lacking from traditional camera analysis methods and including spatial distribution of captured deer. Spatial modeling should be explored further as a possible means of enhancing our understanding of potential biases associated with behavioral responses to the use of bait as an attractant.
