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14 results for “golden eagle”

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zenodo40/100

Data from: Timing of departure from natal areas by Golden Eagles is not constrained by acquisition of flight skills

<p>The post-fledging dependence period (PFDP), which extends from a fledgling&rsquo;s first flight out of the nest to its departure from the parents&rsquo; territory, is crucial in the lifecycle of birds. During this period, juveniles develop their flight and foraging skills to become fully independent. Despite the importance of this life stage in basic bird ecology and conservation, it remains largely overlooked &ndash; notably its link with the acquisition of flight skills. In this study, we modeled the variation in seven proxies describing flight skills of 84 GPS-tracked Golden Eagle juveniles in France between 2016 and 2020. Juveniles had a long but highly variable PFDP, averaging 177.9 (&plusmn;62.2) days after departure from the nest. This period is divided into two phases: a first phase of rapid increase in flight skills over the first 60 days after departure from the nest, followed by a plateau in which flight skills no longer develop until independence. These results suggest that the full development of flight skills is not a constraining factor during the PFDP and that it is advantageous for juveniles to choose to remain in their natal territory. We posit that parents&rsquo; tolerance of fledged juveniles is a type of parental care that may maximize their own fitness by improving the survival of their descendants. In future studies, it may be of interest to investigate the factors that may explain the high variability in the duration of this stage between individuals within the same population.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Golden eagle

The golden eagle (Aquila chrysaetos) https://muzea.malopolska.pl/en/objects-list/2248 The Krystyna and Włodzimierz Tomek Natural Science Museum in Ciężkowice Inventory number: MP 407 Source: Objaverse 1.0 / Sketchfab

opencc-zeroDec 2020View details →
dryad36/100

Estimating abundance in unmarked populations of Golden Eagle

<p> 1. Estimates of species abundance are of key importance in population and ecosystem level research but can be hard to obtain. Study designs using camera-traps are increasingly being used for large-scale monitoring of species that are elusive and/or occur naturally at low densities.</p> <p>2. Golden eagle (Aquila chrysaetos) is one such species, and we investigate whether existing large-scale monitoring programs using baited camera-traps can be used to estimate the abundance of golden eagles, as an alternative to traditional labour-intensive searches for active territories and nest sites during the breeding period.</p> <p>3. The camera-trap data allowed two measures of abundance to be estimated within each of four main study areas in mid and northern Norway; occupancy was measured as the probability of camera site use, and population size was measured as the number of eagle individuals using the camera sites within a study area. Spatial and temporal patterns in occupancy and population size were explored and evaluated against independent estimates of the breeding pair density in the study areas.</p> <p>4. Annual estimates of golden eagle occupancy showed low precision, while estimates of population size were more precise in relation to both estimated and anticipated abundance fluctuations. Estimates of population size may therefore be suitable for monitoring within study area temporal abundance trends, while estimates of occupancy seem unsuitable for such in golden eagles. Across study areas, patterns in both average occupancy and average population density estimated from population size, were consistent with the spatial pattern in average breeding pair densities (r = 0.99, and r = 0.89 respectively). This suggests that camera-trap based estimates of occupancy and population density reflect territory density at large spatial scales. In conclusion, our results suggest that baited camera-traps can be a cost-effective strategy for monitoring the abundance of golden eagles.</p>

opencc-zeroMay 2022View details →
dryad36/100

Data from: Interannual consistency of migration phenology is season- and breeding region-specific in North American Golden Eagles

<p class="MsoNormal">Avian migrants can adjust the time they depart for migration and arrive at their destination (i.e. phenology) based on environmental conditions, the period of the annual cycle, and the distance of migration. Our study shows that interannual consistency (an indicator of the strength of adjustments) in migration schedule of Golden Eagles (Aquila chrysaetos) in North America was greatest in boreal spring migration and the breeding regions of eastern Canada, suggesting that migration schedule is partly environmentally driven. Using multi-year GPS tracks of 83 adults breeding in three spatially distant regions (Alaska, northeast Canada, and southeast Canada), we quantified the interannual consistency of migration timing with variations within individuals tracked across multiple years and among-individuals and repeatability (r) of migration schedule, duration, and wintering latitude by breeding regions and seasons. By comparing regions and seasons, we found that consistency was highest (r &gt; 0.85) for the schedule of the boreal spring migration in eastern Canada while Alaska had the lowest value (r &lt; 0.15). Since seasonal consistency of migration schedule was only detected in eastern Canada, we conclude that seasonal features are not the main constraint on consistency of migration schedule. While regional differences in consistency were not related to differences in migratory distances, they could be the result of genetic or habitat differences. We also found that warmer temperatures than the decadal average at the region of departure delayed the start of boreal spring migration by ~10 days and advanced boreal autumn migration by ~20 days. It suggests that warmer temperatures would reduce residence time on breeding grounds, which is contrary to expectations and trends found in other studies. Wide variations in migratory strategies across a species distribution can add to the lists of challenges for conservation yet such variations can give migrants the capacity to acclimate to environmental changes.</p>

opencc-zeroMay 2022View details →
dryad36/100

Multimodal data helps in identifying spatio-temporal patterns and habitat associations of <em>Aquila chrysaetos</em> (Golden Eagle) in Finland

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publicOct 2025View details →
dryad36/100

Data from: Interannual consistency of migration phenology is season- and breeding region-specific in North American Golden Eagles

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publicJun 2022View details →
dryad36/100

Estimating abundance in unmarked populations of Golden Eagle

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publicMay 2022View details →
dryad36/100

Extreme drought increased home range sizes and space use of Aquila chrysaetos (Golden Eagles) in coastal southern California

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publicJul 2025View details →
dryad32/100

Data from: Avian top predator and the landscape of fear: responses of mammalian mesopredators to risk imposed by the golden eagle

Top predators may induce extensive cascading effects on lower trophic levels, for example, through intraguild predation (IGP). The impacts of both mammalian and avian top predators on species of the same class have been extensively studied, but the effects of the latter upon mammalian mesopredators are not yet as well known. We examined the impact of the predation risk imposed by a large avian predator, the golden eagle (Aquila chrysaetos, L.), on its potential mammalian mesopredator prey, the red fox (Vulpes vulpes, L.), and the pine marten (Martes martes, L.). The study combined 23 years of countrywide data from nesting records of eagles and wildlife track counts of mesopredators in Finland, northern Europe. The predation risk of the golden eagle was modeled as a function of territory density, density of fledglings produced, and distance to nearest active eagle territory, with the expectation that a high predation risk would reduce the abundances of smaller sized pine martens in particular. Red foxes appeared not to suffer from eagle predation, being in fact most numerous close to eagle nests and in areas with more eagle territories. This is likely due to similar prey preferences of the two predators and the larger size of foxes enabling them to escape eagle predation risk. Somewhat contrary to our prediction, the abundance of pine martens increased from low to intermediate territory density and at close proximity to eagle nests, possibly because of similar habitat preferences of martens and eagles. We found a slightly decreasing trend of marten abundance at high territory density, which could indicate that the response in marten populations is dependent on eagle density. However, more research is needed to better establish whether mesopredators are intimidated or predated by golden eagles, and whether such effects could in turn cascade to lower trophic levels, benefitting herbivorous species.

opencc-zeroDec 2014View details →
dryad32/100

Data from: Seasonal variation in resource selection by subadult golden eagles in the Great Basin Desert

<p>Golden eagles (<i>Aquila chrysaetos</i>) are a long-lived and wide-ranging species believed to be stable or in slight decline across North America. Golden eagles have an extended subadult stage (4–5 years) that is critical to maintaining recruitment into the breeding population and population viability. We investigated patterns of resource selection for subadults in the Great Basin Desert of the western United States during summer and winter, 2013–2019. We monitored 46 subadults with GPS transmitters and related locations (<i>n </i>= 99,037) with predictors hypothesized to influence seasonal patterns of space use with mixed-effects logistic regression. </p>

opencc-zeroNov 2021View details →
zenodo32/100

Genotyping of 180 feathers of Golden eagle from french mountain massifs

<p><span>Two batches of 90 feathers of Golden eagle were genotyped. The first batch included 90 feathers collected during four consecutive years in four golden eagle territories of the Massif Central. Of these feathers, 19 were directly sampled from individuals (adults and chicks, see appendix A) and 71 were collected from nests.&nbsp;</span></p> <p><span>A second batch of 90 feather samples collected from nests or directly from individuals in five different French mountainous regions was performed: Dr&ocirc;me (N=13), Vanoise (N=4), Hautes-Alpes (N=22), Massif Central (N=40) and Pyrenees (N=11).&nbsp;</span></p> <p><span>These two batches of feathers were genotyped on 17 microsatellite markers divided into two multiplexes: A (8 markers) and B (9 markers). These markers were selected from several past studies (Gautschi et al. 2000; Hailer et al. 2005; Martinez-Cruz et al. 2005; Bourke and Dawson 2006; Bielikova et al. 2010).&nbsp;</span></p>

opencc-by-4.0May 2024View details →
dryad32/100

Data from: The Genome sequence of a widespread apex predator, the golden eagle (Aquila chrysaetos)

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publicApr 2015View details →
dryad32/100

Data from: Avian top predator and the landscape of fear: responses of mammalian mesopredators to risk imposed by the golden eagle

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publicJan 2015View details →
dryad32/100

Data from: Seasonal variation in resource selection by subadult golden eagles in the Great Basin Desert

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publicNov 2021View details →

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