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

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.