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Article ; Online: Predicting the spatial distribution of wintering golden eagles to inform full annual cycle conservation in western North America.

Wallace, Zachary P / Bedrosian, Bryan E / Dunk, Jeffrey R / LaPlante, David W / Woodbridge, Brian / Smith, Brian W / Brown, Jessi L / Lickfett, Todd M / Gura, Katherine / Bittner, Dave / Crandall, Ross H / Domenech, Rob / Katzner, Todd E / Kritz, Kevin J / Lewis, Stephen B / Lockhart, Michael J / Miller, Tricia A / Quint, Katie / Shreading, Adam /
Slater, Steve J / Stahlecker, Dale W

PloS one

2024  Volume 19, Issue 1, Page(s) e0297345

Abstract: Wildlife conservation strategies focused on one season or population segment may fail to adequately protect populations, especially when a species' habitat preferences vary among seasons, age-classes, geographic regions, or other factors. Conservation of ...

Abstract Wildlife conservation strategies focused on one season or population segment may fail to adequately protect populations, especially when a species' habitat preferences vary among seasons, age-classes, geographic regions, or other factors. Conservation of golden eagles (Aquila chrysaetos) is an example of such a complex scenario, in which the distribution, habitat use, and migratory strategies of this species of conservation concern vary by age-class, reproductive status, region, and season. Nonetheless, research aimed at mapping priority use areas to inform management of golden eagles in western North America has typically focused on territory-holding adults during the breeding period, largely to the exclusion of other seasons and life-history groups. To support population-wide conservation planning across the full annual cycle for golden eagles, we developed a distribution model for individuals in a season not typically evaluated-winter-and in an area of the interior western U.S. that is a high priority for conservation of the species. We used a large GPS-telemetry dataset and library of environmental variables to develop a machine-learning model to predict spatial variation in the relative intensity of use by golden eagles during winter in Wyoming, USA, and surrounding ecoregions. Based on a rigorous series of evaluations including cross-validation, withheld and independent data, our winter-season model accurately predicted spatial variation in intensity of use by multiple age- and life-history groups of eagles not associated with nesting territories (i.e., all age classes of long-distance migrants, and resident non-adults and adult "floaters", and movements of adult territory holders and their offspring outside their breeding territories). Important predictors in the model were wind and uplift (40.2% contribution), vegetation and landcover (27.9%), topography (14%), climate and weather (9.4%), and ecoregion (8.7%). Predicted areas of high-use winter habitat had relatively low spatial overlap with nesting habitat, suggesting a conservation strategy targeting high-use areas for one season would capture as much as half and as little as one quarter of high-use areas for the other season. The majority of predicted high-use habitat (top 10% quantile) occurred on private lands (55%); lands managed by states and the Bureau of Land Management (BLM) had a lower amount (33%), but higher concentration of high-use habitat than expected for their area (1.5-1.6x). These results will enable those involved in conservation and management of golden eagles in our study region to incorporate spatial prioritization of wintering habitat into their existing regulatory processes, land-use planning tasks, and conservation actions.
MeSH term(s) Humans ; Animals ; Seasons ; Eagles ; Conservation of Natural Resources/methods ; North America ; Propylamines ; Sulfides
Chemical Substances 1-(4-methylthiophenyl)-2-aminopropane ; Propylamines ; Sulfides
Language English
Publishing date 2024-01-31
Publishing country United States
Document type Journal Article
ZDB-ID 2267670-3
ISSN 1932-6203 ; 1932-6203
ISSN (online) 1932-6203
ISSN 1932-6203
DOI 10.1371/journal.pone.0297345
Database MEDical Literature Analysis and Retrieval System OnLINE

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