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Modeling spatial variation in density of golden eagle nest sites in the western United States
Author(s) -
Jeffrey R. Dunk,
Brian Woodbridge,
Todd M. Lickfett,
Geoffrey Bedrosian,
Barry R. Noon,
David W. LaPlante,
Jessi L. Brown,
Jason D. Tack
Publication year - 2019
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0223143
Subject(s) - nest (protein structural motif) , eagle , geography , ecology , physical geography , biology , biochemistry
In order to contribute to conservation planning efforts for golden eagles ( Aquila chrysaetos ) in the western U.S., we developed nest site models using >6,500 nest site locations throughout a >3,483,000 km 2 area of the western U.S. We developed models for twelve discrete modeling regions, and estimated relative density of nest sites for each region. Cross-validation showed that, in general, models accurately estimated relative nest site densities within regions and sub-regions. Areas estimated to have the highest densities of breeding golden eagles had from 132–2,660 times greater densities compared to the lowest density areas. Observed nest site densities were very similar to those reported from published studies. Large extents of each modeling region consisted of low predicted nest site density, while a small percentage of each modeling region contained disproportionately high nest site density. For example, we estimated that areas with relative nest density values <0.3 represented from 62.8–97.8% (x ¯= 82.5%) of each modeling area, and those areas contained from 14.7–30.0% (x ¯= 22.1%) of the nest sites. In contrast, areas with relative nest density values >0.5 represented from 1.0–12.8% (x ¯= 6.3%) of modeling areas, and those areas contained from 47.7–66.9% (x ¯= 57.3%) of the nest sites. Our findings have direct application to: 1) large-scale conservation planning efforts, 2) risk analyses for land-use proposals such as recreational trails or wind power development, and 3) identifying mitigation areas to offset the impacts of human disturbance.

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