Area (km²) and the known number of nests (in parentheses) found overlapping cells between golden eagle RSF and NREL wind power class (WPC) map in the Northwest Great Plains (NWGP) and the Wyoming Basin (WYB).

<p>Values on outside of tables represent the number of wind turbines in each category as of 2009. Cell colors correspond to map in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0134781#pone.0134781.g003" target="_blank">Fig 3</a>.</p

Spatial delineation of overlay between seven NREL wind power classes (WPC; 1-low wind value, 7-high wind value) and regional resource selection function maps grouped into seven geometric bins (see Fig 4 for color legend).

<p>Hatched areas are predicted low value for golden eagle nesting and wind development.</p

Resource selection function (RSF) probability grids across the Northwest Great Plains (NWGP) and Wyoming Basin (WYB) regions in Wyoming, USA.

<p>RSF values represent the probability proportion to use of golden eagle nest site. Predictions are based on a global model for each region.</p

Best fit univariate term among competing variables in the Northwest Great Plains (NWGP) and Wyoming Basin (WYB), and coefficient estimate.

<p>m—mean;</p><p>sd-standard deviation;</p><p>²-quadratic term;</p><p>cur—current year; lag– 1 year lagged</p><p>* Correlated variable removed for inclusion in multivariate model</p><p>Asterisks denote correlated variables removed from multivariate RSF models.</p

Coefficient estimates and standard errors for global RSF models in the Northwest Great Plains (NWGP) and the Wyoming Basin (WYB).

<p>Coefficient estimates and standard errors for global RSF models in the Northwest Great Plains (NWGP) and the Wyoming Basin (WYB).</p

Pairwise correlation values between variables used in global RSF models and best fit term associated with oil and gas development (producing wells within 5km).

<p>Pairwise correlation values between variables used in global RSF models and best fit term associated with oil and gas development (producing wells within 5km).</p

Predicted total lek count and number of inactive (0 males), small (1–10 males), medium-sized (11–25 males) and large (>25 males) leks for northeast Wyoming as a function of oil and gas well density (#/km²) within 20 km of each lek and WNv outbreak or non-outbreak year status.

1<p>Mean well density in 2009 within a 20 km radius of northeast Wyoming leks.</p>2<p>Maximum well density in 2009 within a 20 km radius of northeast Wyoming leks.</p>3<p>Permitting levels for well density on United States federal land.</p

Study region and the sub-areas it contains.

<p>A) North-central Montana, B) Central Montana, C) Eastern Montana, D) Western Dakotas, and E) Northeast Wyoming.</p

Maximum likelihood estimates and profile likelihood confidence intervals for parameters of the reduced model.

1<p>Parameters belonging to the negative binomial (NB) model component are presented on the log scale. Parameters belonging to the zero-inflation (ZI) model component (mixing parameter) are presented on the logit scale. The mixing parameter was defined as the probability that a count belonged to the negative binomial distribution.</p

ΔAIC values from univariate and saturated models used to determine the best fit radius from a lek within which to measure the density of oil and gas wells.

<p>ΔAIC values from univariate and saturated models used to determine the best fit radius from a lek within which to measure the density of oil and gas wells.</p