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  3. Greater sage-grouse genetic data and R code for evaluating conservation translocations in the northwestern United States, 1992–2021

Greater sage-grouse genetic data and R code for evaluating conservation translocations in the northwestern United States, 1992–2021

Dates

Publication Date
Start Date
1992
End Date
2021

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: 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 [...]

Contacts

Point of Contact :
Shawna J Zimmerman
Originator :
Shawna J Zimmerman, Jennifer M Fike, Robert S Cornman, Michael A Schroeder, Cameron L Aldridge, Sara J Oyler-McCance
Metadata Contact :
GS-RMA-FORT Data Management
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Fort Collins Science Center
USGS Mission Area :
Ecosystems

Attached Files

Click on title to download individual files attached to this item.

wa_grsg_translocation_evaluation_project.xml
Original FGDC Metadata
View 		21.05 KB application/fgdc+xml
Genetic_data.zip 20.34 KB application/zip
R_code_and_test_data.zip 25.18 KB application/zip

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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Identifiers

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

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