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Greater sage-grouse genetic data and R code for evaluating conservation translocations in the northwestern United States, 1992–2021 (ver. 1.1, December 2024)

Dates

Publication Date
Start Date
1992
End Date
2021
Revision
2024-12-20

Citation

Zimmerman, S.J., Fike, J., Cornman, R.S., Schroeder, M.A., Aldridge, C., and Oyler-McCance, S.J., 2024, Greater sage-grouse genetic data and R code for evaluating conservation translocations in the northwestern United States, 1992–2021 (ver. 1.1, December 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P13UWMYL.

Summary

Conservation translocations are a common wildlife management tool that can be difficult to implement and evaluate for effectiveness. Genetic information can provide unique insight regarding local impact of translocations (e.g., presence and retention of introduced genetic variation) and identifying suitable source and recipient populations (e.g., adaptive similarity). We developed two genetic data sets and wrote statistical code to evaluate conservation translocation effectiveness into the isolated northwestern region of the greater sage-grouse (Centrocercus urophasianus) distribution and to retrospectively evaluate adaptive divergence among source and recipient populations. Our first data set was microsatellite-based and derived from [...]

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Attached Files

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R_code_and_test_data.zip 25.18 KB application/zip
Genetic_data.zip 19.96 KB application/zip
Revision_History.txt 854 Bytes text/plain

Purpose

Data were collected and code was written to explore changes in genetic diversity and population structure before and after conservation translocations, and to better understand patterns of adaptive divergence. We included simulated test data with our R code to clearly demonstrate the functionality.

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Communities

  • Fort Collins Science Center (FORT)
  • USGS Data Release Products

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Provenance

Revision 1.1 by Ashley Wipple on December 20, 2024. To review the changes that were made, see “Revision_History.txt” in the attached files section.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P13UWMYL

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