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                  <text>Appendix S1: Supplemental results

Figure S1. Mean autocorrelation in movement lengths of 54 female mule deer calculated from the distance moved between GPS
locations in the Piceance Basin, Colorado.

�Figure S2. Maps of population-level resource selection functions fit to day time GPS locations
from adult female mule deer in the Piceance Basin, Colorado, with availability drawn at the (A)
5 hour scale, (B) 10 hour scale, (C) 25 hour scale, and (D) 170 hour scale during.

�Figure S3. Maps of population-level resource selection functions fit to night time GPS locations
from adult female mule deer in the Piceance Basin, Colorado, with availability drawn at the (A)
5 hour scale, (B) 10 hour scale, (C) 25 hour scale, and (D) 170 hour scale during.

�Figure S4. Posterior predicted habitat selection as a function of distance from roads from
resource selection functions fit to day time GPS locations from adult female mule deer in the
Piceance Basin, Colorado, with availability drawn at the (A) 5 hour scale, (B) 10 hour scale, (C)
25 hour scale, and (D) 170 hour scale. Gray scale represents posterior density of predictions.

�Figure S5. Individual deer RSF coefficients for the number of drilling pads within 400 meters
from day time models as a function of drilling well pad density in the local convex hull (LoCoH)
home range for adult female mule deer in the Piceance Basin, Colorado along with lines of best
fit, with availability drawn at the (A) 5 hour scale, (B) 10 hour scale, (C) 25 hour scale, and (D)
170 hour scale. Points represent medians and gray bars represent 95% credible intervals.

�Figure S6. Individual deer RSF coefficients for the number of drilling pads within 400 meters
from night time models as a function of drilling well pad density in the local convex hull
(LoCoH) home range for adult female mule deer in the Piceance Basin, Colorado along with
lines of best fit, with availability drawn at the (A) 5 hour scale, (B) 10 hour scale, (C) 25 hour
scale, and (D) 170 hour scale. Points represent medians and gray bars represent 95% credible
intervals.

�Figure S7. Individual deer RSF coefficients for the number of producing pads within 400 meters
from day time models as a function of producing well pad density in the local convex hull
(LoCoH) home range for adult female mule deer in the Piceance Basin, Colorado along with
lines of best fit, with availability drawn at the (A) 5 hour scale, (B) 10 hour scale, (C) 25 hour
scale, and (D) 170 hour scale. Points represent medians and gray bars represent 95% credible
intervals.

�Figure S8. Individual deer RSF coefficients for the number of producing pads within 400 meters
from night time models as a function of producing well pad density in the local convex hull
(LoCoH) home range for adult female mule deer in the Piceance Basin, Colorado along with
lines of best fit, with availability drawn at the (A) 5 hour scale, (B) 10 hour scale, (C) 25 hour
scale, and (D) 170 hour scale. Points represent medians and gray bars represent 95% credible
intervals.

�Figure S9. Distance from roads at which selection was predicted to be highest predicted from
night time models as a function of road density in the local convex hull (LoCoH) home range for
adult female mule deer in the Piceance Basin, Colorado along with lines of best fit, with
availability drawn at the (A) 5 hour scale, (B) 10 hour scale, (C) 25 hour scale, and (D) 170 hour
scale. Highest selection distances were obtained from individual coefficient estimates with points
representing medians and gray bars representing 95% credible intervals.

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                <text>Journal Articles</text>
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              <text>Movement reveals scale dependence in habitat selection of a large ungulate</text>
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              <text>&lt;span&gt;Ecological processes operate across temporal and spatial scales. Anthropogenic disturbances impact these processes, but examinations of scale dependence in impacts are infrequent. Such examinations can provide important insight to wildlife–human interactions and guide management efforts to reduce impacts. We assessed spatiotemporal scale dependence in habitat selection of mule deer (&lt;/span&gt;&lt;i&gt;Odocoileus hemionus&lt;/i&gt;&lt;span&gt;) in the Piceance Basin of Colorado, USA, an area of ongoing natural gas development. We employed a newly developed animal movement method to assess habitat selection across scales defined using animal-centric spatiotemporal definitions ranging from the local (defined from five hour movements) to the broad (defined from weekly movements). We extended our analysis to examine variation in scale dependence between night and day and assess functional responses in habitat selection patterns relative to the density of anthropogenic features. Mule deer displayed scale invariance in the direction of their response to energy development features, avoiding well pads and the areas closest to roads at all scales, though with increasing strength of avoidance at coarser scales. Deer displayed scale-dependent responses to most other habitat features, including land cover type and habitat edges. Selection differed between night and day at the finest scales, but homogenized as scale increased. Deer displayed functional responses to development, with deer inhabiting the least developed ranges more strongly avoiding development relative to those with more development in their ranges. Energy development was a primary driver of habitat selection patterns in mule deer, structuring their behaviors across all scales examined. Stronger avoidance at coarser scales suggests that deer behaviorally mediated their interaction with development, but only to a degree. At higher development densities than seen in this area, such mediation may not be possible and thus maintenance of sufficient habitat with lower development densities will be a critical best management practice as development expands globally.&lt;/span&gt;</text>
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              <text>Northrup, J. M., C. R. Anderson, M. B. Hooten, and G. Wittemyer. 2016. Movement reveals scale dependence in habitat selection of a large ungulate. Ecological Applications 26:2746–2757. &lt;a href="https://doi.org/10.1002/eap.1403" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/eap.1403&lt;/a&gt;</text>
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              <text>Wittemyer, George</text>
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              <text>&lt;em&gt;Odocoileus hemionus&lt;/em&gt;</text>
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&lt;div class="element-text"&gt;&lt;a href="http://rightsstatements.org/vocab/InC-NC/1.0/" target="_blank" rel="noreferrer noopener"&gt;In Copyright - Non-Commercial Use Permitted&lt;/a&gt;&lt;/div&gt;
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              <text>Ecological Applications</text>
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