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139 results for “brown bears”
Supplementary material 1 from: Neagu AC, Manolache S, Rozylowicz L (2022) The drums of war are beating louder: Media coverage of brown bears in Romania. Nature Conservation 50: 65-84. https://doi.org/10.3897/natureconservation.50.86019
Appendix S1. Coding categories (adapted from Hughes et al. 2020) and descriptive statistics of analyzed media articles
Data for: Landscape of fear or landscape of food? Moose hunting triggers an anti-predator response in brown bears
<p><span>Hunters can affect the behavior of wildlife by inducing a landscape of fear, selecting individuals with specific traits, or by altering resource availability across the landscape. Most research investigating the influence of hunting on wildlife resource selection has focused on target species and less attention has been devoted to non-target species, such as scavengers that can be both attracted or repelled by hunting activities. We used resource selection functions to identify areas where hunters were most likely to kill moose (<em>Alces</em> <em>alces</em>) in south-central Sweden during the fall. Then, we used step-selection functions to determine whether female brown bears (<em>Ursus</em> <em>arctos</em>) selected or avoided these areas and specific resources during the moose hunting season. We found that, </span><span>during both day and nighttime</span><span>, female brown bears avoided areas where hunters were more likely to kill moose. We found evidence that resource selection by brown bears varied substantially during the fall and that some behavioral changes were consistent with disturbance associated with moose hunters. Brown bears were more likely to select concealed locations in young (i.e., regenerating) and coniferous forests and areas further away from roads during the moose hunting season. Our results suggest that brown bears react to both spatial and temporal variations in apparent risk during the fall: moose hunters create a landscape of fear and trigger an anti-predator response in a large carnivore even if bears are not specifically targeted during the moose hunting season. Such anti-predator responses might lead to indirect habitat loss and lower foraging efficiency and the resulting consequences should be considered when planning hunting seasons.</span></p>
Figure 2 in Exploring the potential of brown bear (Ursus arctos arctos) as a long-distance seed disperser: a pilot study in South-Western Europe
Figure 2: Summer (continuous line) and fall (dashed line) average distance covered by Balou (black diamonds) and Sarousse (gray triangles) over an 18 h period. This time covers gut retention time (GRT) according to Elfström et al. (2013). For a berry-based diet, median GRT50% is 5 h 47 min long and for a carcass-based diet, it is 14 h 30 min. Ninety-five percent CI have been deleted for better readability but can be found in Table 5.
Figure 1 in Exploring the potential of brown bear (Ursus arctos arctos) as a long-distance seed disperser: a pilot study in South-Western Europe
Figure 1: Western and central core brown bear subpopulations in the Pyrenees mountains from 2008 to 2012 and locations (full grey circles) of faeces used in our pilot study and collected by the Brown Bear Network.
Data from: Alaskan brown bears (Ursus arctos) aggregate and display fidelity to foraging neighborhoods while preying on Pacific salmon along small streams
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Data from: Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches
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Data from: Optimal foraging or surplus killing: selective consumption and discarding of salmon by brown bears
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Data from: Brown and polar bear Y chromosomes reveal extensive male-biased gene flow within brother lineages
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Data from: Size-selectivity of predation by brown bears depends on the density of their sockeye salmon prey
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Data from: Patterns and correlates of claims for brown bear damage on a continental scale
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High habitat potential but limited connectivity for brown bears throughout Europe
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How absolute biomass intake can alter nutrient profile interpretation in free-ranging species: The case of protein intake in brown bears
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Data from: Den site selection by male brown bears at the population’s expansion front
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Data from: Sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the Scandinavian brown bear (Ursus arctos)
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Data from: Incidence of multiple paternity and inbreeding in high-density brown bear populations on the Shiretoko Peninsula, Hokkaido, Japan
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Data from: Consequences of a demographic bottleneck on genetic structure and variation in the Scandinavian brown bear
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Data from: Disentangling direct and indirect determinants of the duration of maternal care in brown bears: environmental context matters
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Brown bear population vital rates
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Data from: Movement ecology of brown bears (Ursus arctos) in the Romanian Eastern Carpathians
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Data from: Genetic relationships of extant brown bears (Ursus arctos) and polar bears (Ursus maritimus)
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.