Published January 19, 2025 | Version v1
Dataset Open

Data and code for: Delineating ecologically distinct groups for annual cycle management of a declining shorebird

  • 1. ROR icon Boise State University
  • 2. ROR icon Smithsonian Institution
  • 3. ROR icon Smithsonian Conservation Biology Institute
  • 4. ROR icon Birds Canada
  • 5. School of Biological Sciences, University of Oklahoma
  • 6. ROR icon Point Blue Conservation Science
  • 7. Department of Natural Resource Ecology and Management, Iowa State University
  • 8. Field Guides Inc
  • 9. Nongame Bird Program, Nebraska Game and Parks Commission
  • 10. ROR icon University of Oklahoma
  • 11. Coastal Bend Bays & Estuaries Program
  • 12. ROR icon Universidad Autónoma de Nuevo León
  • 13. University of Nebraska-Lincoln
  • 14. EDMO icon U.S. Geological Survey
  • 15. Audubon Canyon Ranch
  • 16. Ricketts Conservation Foundation
  • 17. ROR icon Wayne State University

Description

Cleaned data and code used to conduct analyses for Knight et al. 2025. Delineating ecologically distinct groups for annual cycle management of a declining shorebird. Journal of Applied Ecology.

Data provided is daily locations for 148 individual long-billed curlews (Numenius americanus) that have been interpolated from high-resolution Argos or GPS satellite tags. Data have been segmented into seasons and migration stopovers following the methods described in the manuscript.

Scripts are available in the compressed "code" folder and should be run in numbered order using the "LBCU_FilteredData_Segmented_Manuscript.csv" input data file and the compressed AtlasRegionsShp folder provided in this repository. Running this code will will download additional geospatial data from eBird, Google Earth Engine, and the National Oceanic and Atmospheric Administration, some of which will require registering for accounts to access the data.

The compressed "GroupPolygons" folder is the final management regions for long-billed curlews recommended by the paper.

Files

AtlasRegionsShp.zip

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Additional details

Software

Repository URL
https://github.com/ecknight/lbcu_mc
Programming language
R
Development Status
Inactive