Supplement 1. Matlab model code and data.
GELAM.m (MD5: 0b7829a3095eef051873e580609de32b)
Location2West.txt (MD5: 4ddcd8b65a095ace631d05ca597d125c)
The MATLAB (version R2010a, MathWorks) script GELAM.m runs a simulation model to estimate acute mortality of golden eagles due to ingesting lead from gut-piles of harvested big game animals and to assess possible mitigation strategies: non-lead ammunition and gut-pile retrieval. GELAM.m runs the simulation both at the state level, and for the Casper example.
Location2West.txt contains the data we used in the MATLAB simulations, with the following columns: (1) ID number (FID), (2) number of animals harvested, (3) golden eagle abundance in hunting unit, and (4) size of hunting unit in 100 km² blocks. Information was compiled from publicly available data for Wyoming’s 2012 big game harvest (Wyoming Game and Fish Department 2013, public communication: 2012 annual report of big and trophy game harvest. http://wgfd.wyo.gov/web2011/Departments/Wildlife/pdfs/HR2012_FULLREPORT0005408.pdf accessed 13 May 2014) and preliminary, unpublished estimates of late summer Golden Eagle abundance provided by Ryan Nielson (personal communication, Western EcoSystems Technology, Inc., Cheyenne, WY, February 2014).
The eagle density data are from ongoing work that may be revised, using methods reported in two publications:
Nielson, R. M. and H. Sawyer. 2013. Estimating resource selection with count data. Ecology and Evolution 3:2233–2240.
Neilson, R., L. McManus, T. Rintz, L. L. McDonald, R. K. Murphy, W. H. Howe, and R. E. Good. 2014. Monitoring abundance of golden eagles in the Western United States. Journal of Wildlife Management 78:721–730.