Mule Deer Migration Corridors - Doyle - 2016-2019 [ds2909]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Julie Garcia. Mule deer (25 females) were captured in 2016 and equipped with Lotek satellite GPS collars, transmitting data from 2016-2019. The Doyle mule deer herd migrates from a winter range in Honey Lake Valley and Upper Long Valley near Doyle, California along US Highway 395 in Lassen County, California and eastward into Plumas County and Plumas National Forest in the Sierra Nevada Mountains for the summer. Winter range also exists on the Nevada side of the border in Washoe County. GPS locations were fixed between 3-13 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual deer is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of winter ranges and the identification and prioritization of migration corridors. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 14 migrating deer, including 44 migration sequences, location, date, time, and average location error as inputs in Migration Mapper. The average migration time and average migration distance for deer was 6.47 days and 27.37 km, respectively. Corridors and stopovers were prioritized based on the number of animals moving through a particular area. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Winter range analyses were based on data from 14 individual deer and 25 wintering sequences using a fixed motion variance of 1000. Winter range designations for this herd may expand with a larger sample, filling in some of the gaps between winter range polygons in the map. Large water bodies were clipped from the final outputs.</span></span></p><p style='margin:0 0 11 0;'><span><span>Corridors are visualized based on deer use per cell, with greater than or equal to 1 deer and greater than or equal to 3 deer (20% of the sample) representing migration corridors and high use corridors, respectively. Stopovers were calculated as the top 10 percent of the population level utilization distribution during migrations and can be interpreted as high use areas. Stopover polygon areas less than 20,000 m</span></span><span><span>2</span></span><span><span>were removed, but remaining small stopovers may be interpreted as short-term resting sites, likely based on a small concentration of points from an individual animal. Winter range is visualized as the 50</span></span><span><span>th</span></span><span>percentile contour of the winter range utilization distribution.</span></p></div></div></div>

Tags: Auth_CDFW, Brownian bridge movement model, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS2909_20210127_wm, GPS, Odocoileus hemionus, connectivity, migration mapper, mule deer, stopover, telemetry, winter range
Organization: California Department of Fish and Wildlife