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7 results for “Blue sheep”
On following pages: 168. Rocky Mountain Goat (Oreamnos americanus); 169. Mishmi Takin (Budorcas taxicolon; bedford); 173. Aoudad (Ammotragus lervia); 174. Arabian Tahr (Arabitragus jayakari); 175. Himalayan Tahr (Hemitragus 170. Bhutan Takin (Budorcas whitel); 171. Sichuan Takin (Budorcas tibetana); 172. Golden Takin (Budorcas jemlahicus); 176. Greater Blue Sheep (Pseudois nayaun); 177. Dwarf Blue Sheep (Pseudois schaeferi). in Bovidae
On following pages: 168. Rocky Mountain Goat (Oreamnos americanus); 169. Mishmi Takin (Budorcas taxicolon; bedford); 173. Aoudad (Ammotragus lervia); 174. Arabian Tahr (Arabitragus jayakari); 175. Himalayan Tahr (Hemitragus 170. Bhutan Takin (Budorcas whitel); 171. Sichuan Takin (Budorcas tibetana); 172. Golden Takin (Budorcas jemlahicus); 176. Greater Blue Sheep (Pseudois nayaun); 177. Dwarf Blue Sheep (Pseudois schaeferi).
Applying the double observer methodology for assessing blue sheep population size in Nar Phu Valley, Annapurna Conservation Area, Nepal
<p>This study was undertaken in spring, 2019 to assess the applicability of the Double-Observer survey method for estimating blue sheep <i>Pseudois nayaur</i> abundance in Nar-Phu valley of Manang District located in Annapurna Conservation Area of northern Nepal. Since counting large mammals in rugged mountain habitat poses a special challenge, we tested the efficacy of the Double Observer method for generating robust population estimates for this important protected area. The overall detection probability for observers (O1 and O2) was 0.94 and 0.91 for a total of 106 groups comprised of 2,059 individual blue sheep. We estimated the area's blue sheep population at 2,070 (SE<span> ±</span>168.77; 95% CI 2,059 – 2,405) for the 246.2 km² of sampled habitat. We determined blue sheep to be widely distributed within the study area with a mean density of 8.4 individuals per km<sup>2</sup> based on a total study area of 246.2 km<sup>2</sup>. We discuss demographic population structure and identify limitations when applying the <i>Double Observer</i> approach, along with recommending viewshed mapping for ensuring more robust density estimates of mountain-dwelling ungulates like blue sheep or ibex that inhabit extremely heterogeneous terrain which strongly influences sighting distances and overall animal detection rates.</p>
Applying the double observer methodology for assessing blue sheep population size in Nar Phu Valley, Annapurna Conservation Area, Nepal
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Presence locations (direct and indirect) of blue sheep and livestock in Johar Valley, Uttarakhand, India from years 2015-2017
<p><span>In-depth knowledge of distribution and their factors are important for species conservation and management. Many forms of such data have led to development of new analytical techniques for better interpretation. For mountainous terrains with certain limitations, species data is obtained in presence-only form. Point process model is one of the recent approaches for modelling such data, taking care of pseudo-absences and spatial independence. For conservation of regions with limited resources and species with similar ecological requirements, it is important to properly assess competition extent between wild and domestic species. We attempted to use point process framework to estimate resource selection function of blue sheep (<i>Pseudois nayaur</i>) in pastoralism influenced areas of a western Himalayan landscape. Our study is a first attempt to use this framework to estimate resource selection on a dataset not collected using radio-telemetry. Spatial locations of presence points of blue sheep and livestock and a background sample of random points along with six topographic covariates were used for modelling resource selection probability via intensity function. Blue sheep showed its predicted presence in areas with open vegetation coinciding with alpine meadows, influenced by southern aspect keeping a threshold distance of 600m-1000m from cliffs (escape terrain). Livestock, also showed presence probability in open vegetation but at lower altitudes mainly on valley floors. Our results suggest that though blue sheep continued to use the same habitat type after livestock arrival, they selected different resources based on topographic factors. Livestock were in areas convenient for pastoralists for establishing their campsites and feasibility of grazing along with presence of nutritious grasses. Thus, we assume that probable shift of habitat for blue sheep from optimal areas occurs due to livestock presence, which might disturb their nutritional balance. Our study provides helpful insights for management of rangelands, which when tied with dietary patterns will give wholesome idea for proper conservation measures in future.</span></p>
In the shadows of snow leopards and the Himalayas: density and habitat selection of blue sheep in Manang, Nepal
<p><span>There is a growing agreement that conservation needs to be proactive and pay increased attention to common species and to the threats they face. The blue sheep (<i>Pseudois nayaur</i>) plays a key ecological role in sensitive high-altitude ecosystems of Central Asia and is among the main prey species for the globally vulnerable snow leopard (<i>Panthera uncia</i>). As the blue sheep has been increasingly exposed to human pressures, it is vital to estimate its population dynamics, protect the key populations, identify important habitats, and secure a balance between conservation and local livelihoods. We conducted a study in Manang, Annapurna Conservation Area (Nepal) to survey blue sheep on 60 transects in spring (127.9 km) and 61 transects in autumn (134.7 km) of 2019, estimate their minimum densities from total counts, compare these densities with previous estimates, and assess blue sheep habitat selection by the application of generalized additive models (GAMs). Total counts yielded minimum density estimates of 6.0-7.7 and 6.9-7.8 individuals/km<sup>2</sup> in spring and autumn, respectively, which are relatively high compared to other areas. Elevation and, to a lesser extent, land cover indicated by the normalized difference vegetation index (NDVI) strongly affected habitat selection by blue sheep, whereas the effects of anthropogenic variables were insignificant. Animals were found mainly in habitats associated with grasslands and shrublands at elevations between 4200 and 4700 m. We show that the blue sheep population size in Manang has been largely maintained over the past three decades, indicating the success of the integrated conservation and development efforts in this area. Considering a strong dependence of snow leopards on blue sheep, these findings give hope for the long-term conservation of this big cat in Manang. We suggest that long-term population monitoring and a better understanding of blue sheep-livestock interactions are crucial to maintain healthy populations of blue sheep and, as a consequence, of snow leopards. </span></p>
Presence locations (direct and indirect) of blue sheep and livestock in Johar Valley, Uttarakhand, India from years 2015-2017
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In the shadows of snow leopards and the Himalayas: density and habitat selection of blue sheep in Manang, Nepal
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Allen Brain Atlas
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International Brain Laboratory public data
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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.