Appendix B. Migratory GPS locations collected from a sample of 32 adult female mule deer captured in the Wild Horse Winter Range located in the Atlantic Rim Project Area of southwest Wyoming, USA, February 2005–November 2006.

Migratory GPS locations collected from a sample of 32 adult female mule deer captured in the Wild Horse Winter Range located in the Atlantic Rim Project Area of southwest Wyoming, USA, February 2005–November 2006

Appendix A. Migratory GPS locations collected from a sample of 12 adult female mule deer captured in the Dad Winter Range located in the Atlantic Rim Project Area of southwest Wyoming, USA, February 2005–November 2006.

Migratory GPS locations collected from a sample of 12 adult female mule deer captured in the Dad Winter Range located in the Atlantic Rim Project Area of southwest Wyoming, USA, February 2005–November 2006

Appendix C. Approximate migration routes of mule deer that had at least one spring and one fall migration recorded.

Approximate migration routes of mule deer that had at least one spring and one fall migration recorded

Supplement 1. R source code for the Brownian bridge movement model (BBMM) that estimates a utilization distribution (UD) for a migration route of a GPS-collared mule deer, as depicted in Fig. 2.

<h2>File List</h2><blockquote> <p><a href="BBMM_supplement.R">BBMM_supplement.R </a> – R source code </p> <p><a href="gps53_spring06.txt ">gps53_spring06.txt </a> – Input file for R code</p> <p><a href="readme.txt">readme.txt</a> – Description of R source code</p> </blockquote><h2>Description</h2><blockquote> <p>The BBMM_supplement.R R program uses the Brownian bridge movement model (BBMM) to estimate a 99% utilization distribution of a mule deer migration route. The gps53_spring06.txt input file contains a sequence of migratory GPS locations collected from Deer#53 during the 2006 spring migration. Additional information is provided in the readme.txt file and the BBMM_supplement.R. R code is commented for further documentation. Equations for the BBMM and the Brownian motion variance are provided in Horne et al. (2007)^a.</p> <p>^a Horne, J. S., E. O. Garton, S. M. Krone, and J. S. Lewis. 2007. Analyzing animal movements using Brownian Bridges. Ecology 88:2354–2363.</p> </blockquote

Predicted intensity of use by golden eagles in the western United States during late-summer.

<p>Image background is from The National Map (United States Geological Survey).</p

Covariates considered for the model of late-summer habitat use by golden eagles.

<p>Covariates considered for the model of late-summer habitat use by golden eagles.</p

Predicted intensity of use by golden eagles as a function of covariates in the final model.

<p>Covariate values not represented in each graph were held constant at their median values, and final estimates were scaled so the maximum value was 1.0.</p

Study area for the annual late-summer survey of golden eagles across the western USA.

<p>In every year during 2006–2013 we attempted to survey all primary transects, but alternates were flown when portions of primary transects could not be flown due to forest fires or weather events. Image background is from The National Map (United States Geological Survey).</p

Estimates and upper and lower limits for 90% confidence intervals for coefficients in the final model of late-summer habitat use by golden eagles.

<p>Estimates and upper and lower limits for 90% confidence intervals for coefficients in the final model of late-summer habitat use by golden eagles.</p

Land cover covariates and their definitions considered for the model of late-summer habitat use by golden eagles.

<p>The proportion comprised by each covariate was determined for every 2- × 10-km sampling unit. Modified from land cover classes and their definitions in the 2006 National Land Cover Database [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0159271#pone.0159271.ref032" target="_blank">32</a>].</p