Mule Deer Migration Corridors - Manache - 2020-2022 [ds2978]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project leads for the collection of this data were Julie Garcia and Evan King. Mule deer (47 adult females) from the Manache herd were captured and equipped with </span></span><span><span>Lotek LiteTrack Iridium </span></span><span><span>collars, transmitting data from 2020-2022. GPS fixes were set for 2-hour intervals. The Manache herd migrates from winter ranges just west of Route 395 on the steep slopes and valleys of the Sierra Nevada range near Dunmovin and Haiwee eastward to some of the higher altitude terrain in the continental USA in Inyo and Sequoia National Forests. Due to a high percentage of poor fixes, likely due to highly variable topographic terrain, between 2-18% of GPS locations per deer, or 5.78% of the entire dataset, were fixed in 2-dimensional space and removed to ensure locational accuracy.</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 of migration corridors and stopovers. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 38 migrating deer, including 114 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 9.34 days and 13.65 km, respectively. Corridors and stopovers were prioritized based on the number of animals moving through a particular area. Separate models using Brownian bridge movement models (BMMM) and fixed motion variances (FMV) of 1000 were produced per migration sequence. Due to high variances, Only FMV models were retained. Corridors were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Winter range analyses were based on data from 40 individual deer and 88 wintering sequences using an FMV 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. Additional migration routes and winter range areas likely exist beyond what was modeled in our output.</span></span></p><p style='margin:0 0 11 0;'><span><span>Corridors are visualized based on deer use per cell in the BBMMs, with greater than or equal to 1 deer, greater than or equal to 4 deer (10% of the sample), and greater than or equal to 8 deer (20% of the sample) representing migration corridors, moderate use, 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><span> percentile contour of the winter range utilization distribution.</span></span></p></div></div></div>

Tags: auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, connectivity, ds2978_20220708_wm, gps, inyo, migration, migration-mapper, mule-deer, odocoileus-hemionus, stopover, telemetry, tulare, winter-range
Organization: State of California