Baselight

Elk Home Range - Hilt - 2022-2023 [ds3174]

State of California

@usgov.ca_gov_elk_home_range_hilt_2022_2023_ds3174_a8b7c

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About this Dataset

Elk Home Range - Hilt - 2022-2023 [ds3174]

The project lead for the collection of this data was Erin Zulliger. Elk (2 adult females) were captured and equipped with GPS collars (Litetrack/Pinpoint Iridium collars, Lotek Wireless Inc., Newmarket, Ontario, Canada or Vectronic Aerospace) transmitting data from 2022-2023. The Hilt herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 6-hour intervals in the dataset. To improve the quality of the data set, the GPS data locations fixed in 2D space and visually assessed as a bad fix by the analyst were removed.

The methodology used for this migration analysis allowed for the mapping of the herd’s annual range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 2 elk, including 2 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Home range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution. Annual home range designations for this herd may expand with a larger sample.
Organization: State of California
Last updated: 2024-11-27T01:22:34.278073
Tags: authcdfw, brownian-bridge-movement-model, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, connectivity, ds317420240415wm, elk, gps, home-range, migration-mapper, telemetry

Tables

Table 1

@usgov.ca_gov_elk_home_range_hilt_2022_2023_ds3174_a8b7c.table_1
  • 4.4 KB
  • 2 rows
  • 5 columns
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CREATE TABLE table_1 (
  "objectid" BIGINT,
  "details" VARCHAR,
  "ud_percent" BIGINT,
  "shape_area" DOUBLE,
  "shape_length" DOUBLE
);

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