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Sandhill Crane Priority Use Cores

Dates

Publication Date
2017-09-08 15:44:49
Start Date
2014-02-01 21:09:03
End Date
2017-06-01 20:09:03

Citation

John Denton(Principal Investigator), Aaron Pearse(Author), Dana Varner(Author), Rob Spangler(Author), Jonas Davis(Author), Kirk Schroeder(Author), Mark Vrtiska(Author), Emily Munter(Author), Heather Johnson(Author), 2017-09-08(Publication), Sandhill Crane Priority Use Cores

Summary

Priority and use segments for Sandhill Cranes (Antigone canadensis). Segments designated as use areas were utilized during annual spring surveys 2014-2016. Priority areas were determined using statistical modeling. The reduced model that best predicted use by Sandhill cranes included total area of trees, pits, crops and unvegetated sandbar habitats in each segments. Mean distance to conservation lands and roads and minimum distance to transmission lines and towers were also included in the model. Only distance to lines and total tree area had a significant (p < 0.05) relationship with priority core segments.

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Great Plains Landscape Conservation Cooperative(publisher)

Purpose

In order to identify the most valuable habitats, we divided the surveyed area into 261 linear segments 2-km in length. Each flock counted was assigned to the nearest corresponding segment. We used methods described by Vander Wal and Rodgers (2012) to identify core use segments for ducks, Canada geese, and Sandhill Cranes for each survey flight. This method uses volume metrics by plotting utilization area against volume to assign core use status to segments where the slope of the line fitted to the data is greater than 1. Because we seek to identify habitats that are consistently valuable over time, we designated segments as “priority core” segments if core status occurred during at least 3 separate surveys in at least 2 different years. Based on prior research, we identified several habitat variables that may affect use by ducks, Canada geese, and Sandhill cranes. General models were constructed for each based on known or suspected habitat preferences using a multiple logistic regression approach. We then identified the most important variables using a backward stepwise procedure.
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  • Great Plains Landscape Conservation Cooperative
  • LC MAP - Landscape Conservation Management and Analysis Portal

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