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52 results for “Ursus arctos”
Figure 1 in Non-invasive genetic study and population monitoring of the brown bear (Ursus arctos) (Mammalia: Ursidae) in Kastoria region - Greece
Figure 1. The study area in Kastoria region and capture locations (red dots) for the 75 living bears.
Ursus arctos (Ursidae) - whole organism
Image of Ursus arctos (Ursidae) - whole organism
Рис. 3. Остров ЗавьяΛова, виΑ от п-ова Старицкого Fig. 3. Zavyalov island, a view from Staritsky Peninsula in Brown bear (Ursus arctos) of Zavyalov Island (Sea of Okhotsk): Abundance and possible migration routes
Рис. 3. Остров ЗавьяΛова, виΑ от п-ова Старицкого Fig. 3. Zavyalov island, a view from Staritsky Peninsula
Рис. 1. Αиния маршрута; цифры — места, гΑе быΛи отмечены особи бурого меΑвеΑя во время учетов с вертоΛета 22.05.2018. РезуΛьтаты учетов бурого меΑвеΑя на о. ЗавьяΛова с вертоΛета «Еврокоптер 120». 11:55 выΛет с нефтепирса г. МагаΑана, 12:14 поΑΛет к острову, 12:20 (1) отмечен первый моΛоΑой меΑвеΑь на террасе, 12:52 (2) отмечен оΑин взросΛый меΑвеΑь, 13:06 (3, 4) отмечены Αва взросΛых меΑвеΑя, 13:08 (5, 6, 7) отмечены три взросΛых меΑвеΑя, 13:18 (8) отмечен оΑин взросΛый меΑвеΑь. 13:56 переΛет в гороΑ МагаΑан Fig. 1. Route line; the figures indicate areas where brown bears were seen during the helicopter surveys on 22 May 2018. The results of the brown bear surveys on Zavyalov island from the Eurocopter 120 helicopter. 11:55 departure from the oil pier of Magadan, 12:14 hovering near the island, 12:20 (1) the first young bear identified on the terrace, 12:52 (2) one adult bear identified, 13:06 (3, 4) two adult bears identified, 13:08 (5, 6, 7) three adult bears identified, 13:18 (8) one adult bear identified, 13:56 Flight to Magadan in Brown bear (Ursus arctos) of Zavyalov Island (Sea of Okhotsk): Abundance and possible migration routes
Рис. 1. Αиния маршрута; цифры — места, гΑе быΛи отмечены особи бурого меΑвеΑя во время учетов с вертоΛета 22.05.2018. РезуΛьтаты учетов бурого меΑвеΑя на о. ЗавьяΛова с вертоΛета «Еврокоптер 120». 11:55 выΛет с нефтепирса г. МагаΑана, 12:14 поΑΛет к острову, 12:20 (1) отмечен первый моΛоΑой меΑвеΑь на террасе, 12:52 (2) отмечен оΑин взросΛый меΑвеΑь, 13:06 (3, 4) отмечены Αва взросΛых меΑвеΑя, 13:08 (5, 6, 7) отмечены три взросΛых меΑвеΑя, 13:18 (8) отмечен оΑин взросΛый меΑвеΑь. 13:56 переΛет в гороΑ МагаΑан Fig. 1. Route line; the figures indicate areas where brown bears were seen during the helicopter surveys on 22 May 2018. The results of the brown bear surveys on Zavyalov island from the Eurocopter 120 helicopter. 11:55 departure from the oil pier of Magadan, 12:14 hovering near the island, 12:20 (1) the first young bear identified on the terrace, 12:52 (2) one adult bear identified, 13:06 (3, 4) two adult bears identified, 13:08 (5, 6, 7) three adult bears identified, 13:18 (8) one adult bear identified, 13:56 Flight to Magadan
Fig.1 in Home range, movements and activity patterns of an exceptionally large male Brown Bear (Ursus arctos L.) in the area of the Bulgarian-Greek border (Western Rhodope Mts.)
Fig.1. Dominant male (supposed age of at least 15 years old) with scars of battles with rivals. Hunting Forestry Adjilarska (photo from a kamera-trap, D. Bukovsky, 17.03.2014 at a game-feeding station).
Fig 2. A in Home range, movements and activity patterns of an exceptionally large male Brown Bear (Ursus arctos L.) in the area of the Bulgarian-Greek border (Western Rhodope Mts.)
Fig 2. A century-old bear marking tree just on the Bulgarian/Greek border. The tree is marked also with white paint as a border pillar (photo N. Spassov).
Fig. 2. A 15 in Chewing lice Trichodectes pinguis pinguis in Scandinavian brown bears (Ursus arctos)
Fig. 2. A 15-year-old male brown bear (Ursus arctos), ID No. W1211, parasitized by Trichodectes pinguis pinguis. Notice the areas with partial or complete hair loss, hyperpigmentation and lichenification of the skin. a) April 2015 at the time of capture. b) June 2015 when feeding on a carcass.
Fig. 1. A 5 in Chewing lice Trichodectes pinguis pinguis in Scandinavian brown bears (Ursus arctos)
Fig. 1. A 5-year-old female brown bear (Ursus arctos), ID No. W1017, captured in Sweden. a) and b) April 2014: Hair loss in the ventral region of the neck and upper chest probably caused by Trichodectes spp. c) April 2015: Hair loss and scar tissue in the neck; no lice were found.
Fig. 4 in Chewing lice Trichodectes pinguis pinguis in Scandinavian brown bears (Ursus arctos)
Fig. 4. Specimen of Trichodectes pinguis pinguis recovered from a brown bear (Ursus arctos) killed because of human-wildlife conflict in south-central Sweden in May 2015. The distance between the measuring bars is 1 mm.
Fig. 3 in Chewing lice Trichodectes pinguis pinguis in Scandinavian brown bears (Ursus arctos)
Fig. 3. Brown bear (Ursus arctos) killed because of human-wildlife conflict in south-central Sweden in May 2015. The bear showed extensive alopecia in the area covering a) the chin, ventral part of the neck; b) axillar region, and abdomen.
Fig. 1. Urinary parasites, light microscopy. A in Urinary capillariosis in a free-ranging Marsican brown bear (Ursus arctos marsicanus)
Fig. 1. Urinary parasites, light microscopy. A) Mature capillariid egg, 40X, B) Adult female, vulvar appendix, 40X, C) Adult female, anterior extremity, 40X, D) Adult female, posterior extremity, 40X.
FIGURE 3. Ursus arctos priscus m2 in Large mammals (carnivores, artiodactyls) from Solna Jama Cave (Bystrzyckie Mts, Southwestern Poland) in the context of faunal changes in the postglacial period of Central Europe
FIGURE 3. Ursus arctos priscus m2 (JSJ/Ua/1) from Solna Jama Cave in occlusal view. Note robust build and arctoid shape of tooth, with only slightly expanded, buccal margin of the talonid. Scale bar equals 10 mm.
Filtered GBIF dataset of occurrences for food species in the brown bear (Ursus arctos) trophic database
<p>We reviewed 47 studies of brown bear diet in Europe by searching in SCI Journals, master’s and PhD theses, and grey literature. We obtained a list of 276 species in the brown bear diet in Europe and Turkey. We used the R package rgbif to download occurrences of each food species from the Global Biodiversity Information Facility (GBIF). We selected occurrences of food species, with an uncertainty of <1 km2, in Europe, North Africa and the Middle East for the period 1989–2018.</p>
Data from: Seasonal and anthropogenic effects on niche overlap and habitat selection by sympatric bears (Ursus arctos marsicanus) and wolves (Canis lupus) in a human-dominated landscape
Open the record for dataset details and reuse information.
Data from: Steep and deep: Terrain and climate factors explain brown bear (Ursus arctos) alpine den site selection to guide heli-skiing management
<p>Winter recreation and tourism continue to expand worldwide, and where these activities overlap with valuable wildlife habitat, there is greater potential for conservation concerns. Wildlife populations can be particularly vulnerable to disturbance in alpine habitats as helicopters and snowmachines are increasingly used to access remote backcountry terrain. Brown bears (<i>Ursus arctos</i>) have adapted hibernation strategies to survive this period when resources and energy reserves are limited, and disturbance could negatively impact fitness and survival. To help identify areas of potential conflict between helicopter skiing and denning brown bears in Alaska, we developed a model to predict alpine denning habitat and an associated data-based framework for mitigating disturbance activities. Following den emergence in spring, we conducted three annual aerial surveys (2015–2017) and used locations from three GPS-collared bears (2008–2014) to identify 89 brown bear dens above the forest line. We evaluated brown bear den site selection of land cover, terrain, and climate factors using resource selection function (RSF) models. Our top model supported the hypothesis that bears selected dens based on terrain and climate factors that maximized thermal efficiency. Brown bears selected den sites characterized by steep slopes at moderate elevations in smooth, well-drained topographies that promoted vegetation and deep snow. We used the RSF model to map relative probability of den selection and found 85% of dens occurred within terrain predicted as prime denning habitat. Brown bear exposure to helicopter disturbance was evident as moderate to high intensities of helicopter flight tracking data overlapped prime denning habitat, and we quantified where the risk of these impact was greatest. We also documented evidence of late season den abandonment due to disturbance from helicopter skiing. The results from this study provide valuable insights into bear denning habitat requirements in subalpine and alpine landscapes. Our quantitative framework can be used to support conservation planning for winter recreation industries operating in habitats occupied by denning brown bears.</p>
Genotype data from: Restoration of transborder connectivity for Fennoscandian brown bears (Ursus arctos)
<p class="brdtekstNINA">Knowledge about the connectivity among natural populations is essential to identify management units for effective conservation actions. Conservation-minded management has led to the recovery of large carnivore populations in northern Europe, possibly restoring connectivity between the two separated, but expanding brown bear (<i>Ursus arctos</i>) populations on the Scandinavian peninsula to the west and Karelia, a part of the large Eurasian population, to the east. The degree of connectivity between these populations has been poorly understood, therefore we investigated the extent of connectivity between the two populations using autosomal microsatellites and Y chromosome haplotypes in 924 male bears (the dispersing sex), sampled during a period of 12 years (2005-2017) across the transborder area where these two populations meet. Our results showed that the two populations are not genetically isolated as reported in earlier studies. We detected recent asymmetrical gene flow at a rate (individuals per generation) of 4.6-5.5 (1%) from Karelia into Scandinavia, whereas the rate was approximately 27.1-34.5 (8%) in the opposite direction. We estimated historical gene flow of effective number of migrants to be between 1.7 and 2.5 between the populations. Analyses of Y chromosome markers supported these results. Successful recovery and expansion of both populations led to the restoration of connectivity, however, it is asymmetric, possibly due to different recovery histories and population densities. By aligning monitoring between neighboring countries, we were able to better understand the biological processes across the relevant spatial scale.</p>
Ursus arctos microsatellite fragment sizing, Chilkoot Valley, Alaska, USA 2014
<p>Microsatellite genoytping fragment sizing for 460 non-invasively collected saliva and fecal samples from brown bears (<em>Ursus arctos</em>) in northern Southeast Alaska, USA during summer and fall 2014.<br /> </p>
Bearskull - Ursus arctos
To be updated Photography/Modeling; Trond Sverre Kristiansen http://www.ntnu.edu/employees/trond.s.skevik, NTNU Science Museum http://www.ntnu.edu/museum Source: Objaverse 1.0 / Sketchfab
Autosomal SNP-genotype data of brown bears (Ursus arctos) in Finland
<p>Harmonising methodology between countries is crucial in transborder population monitoring. However, immediate application of alleged, established DNA-based methods across the extended area can entail drawbacks and may lead to biases. Therefore, genetic methods need to be tested across the whole area before being deployed. Around 4,500 brown bears (<em>Ursus arctos</em>) live in Norway, Sweden, and Finland and they are divided into the western (Scandinavian) and eastern (Karelian) population. Both populations have recovered and are connected via asymmetric migration. DNA-based population monitoring in Norway and Sweden uses the same set of genetic markers. With Finland aiming to implement monitoring, we tested the available SNP-panel developed to assess brown bears in Norway and Sweden, on tissue samples from a representative set of 93 legally harvested individuals from Finland. The aim was to test for ascertainment bias and evaluate its suitability for DNA-based transnational-monitoring covering all three countries. We compared results to the performance of microsatellite genotypes of the same individuals in Finland and against SNP-genotypes from individuals sampled in Sweden (<em>N</em>=95) and Norway (<em>N</em>=27). In Finland, a higher resolution for individual identification was obtained for SNPs (PI=1.18E-27) compared to microsatellites (PI=4.2E-11). Compared to Norway and Sweden, probability of identity of the SNP-panel was slightly higher and expected heterozygosity lower in Finland indicating ascertainment bias. Yet, our evaluation show that the available SNP-panel outperforms the microsatellite panel currently applied in Norway and Sweden. The SNP-panel represents a powerful tool that could aid improving transnational DNA-based monitoring of brown bears across these three countries.</p>
Рис. 2. Основные морские течения в Тауйской губе Fig. 2. The main sea currents in the Taui Bay in Brown bear (Ursus arctos) of Zavyalov Island (Sea of Okhotsk): Abundance and possible migration routes
Рис. 2. Основные морские течения в Тауйской губе Fig. 2. The main sea currents in the Taui Bay
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