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1,777 results for “Mongolia”
Daily river metabolism using oxygen flux at 75 sites in Mongolia or the United States in steppe ecoregions
We obtained GIS data to indicate local geomorphology and watershed-scale values for land use, climate, slope, and elevation for each sampling site. We selected our sites using the GIS-based program RESonate (Williams et al., 2013) to represent replicates in multiple watersheds of different geomorphic patches or Functional Process Zones (FPZs). The FPZs are reoccurring longitudinal geomorphic patches that are hypothesized to control biocomplexity, including community composition and system productivity (Thorp et al., 2006). A detailed description of the FPZ delineation methodology we employed has been provided previously (Maasri et al., 2019a; Erdenee et al., 2021). We classified each study site hierarchically by country, ecoregion, river basin, upper (streams higher in the watershed) or lower (low slope rivers of lower elevations), and relatively constrained valley or wide valley. This approach allowed us to assess reach-scale properties that could directly influence the physiological controls most often collected alongside metabolism data. This provided a framework to evaluate how we may understand the determinants of metabolism at multiple scales. We studied three large-scale temperate steppe ecoregions (Terminal Basin, TB; Montane Steppe, MS; and Grassland Steppe, GS) as characterized by Olson et al. (2001) and updated by Dinerstein et al. (2017) in two countries (Mongolia and the United States, Fig. 2). We aggregated our large-scale ecoregions for the US as follows: TB = Great Basin shrub steppe and Sierra Nevada forest, MS = South Central Rockies forest and Wyoming Basin shrub steppe, GS = Nebraska Sand Hills mixed grasslands and Northern Shortgrass prairie. We aggregated our large-scale ecoregions for Mongolia as follows: TB = Altai mountains forest and forest steppe, Gobi Lakes Valley desert steppe, Great Lakes Basin desert steppe, and Khangai Mountains alpine meadows, MS = Selenge-Orkhon forest steppe and Syan Mountains conifer forests, GS = Daurian Forest s
National Checklists 2017: Mongolia Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from Mongolia collected using effechecka and geonames polygons
National Checklists 2019: Mongolia Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Mongolia collected using effechecka and geonames polygons
Prevalence of Multimorbidity among Urban–Rural Older Adults in Mongolia: A Cross-Sectional Study
<p>A face-to-face, questionnaire-based cross-sectional study was conducted with 800 valid participants aged ≥60 years in Mongolia from June to September 2023.</p>
Data for "Mapping the ghost: Estimating probabilistic snow leopard distribution across Mongolia"
<p>Data and code used for a country-wide occupancy survey of snow leopards in Mongolia, accompanying the paper "Mapping the ghost: Estimating probabilistic snow leopard distribution across Mongolia".</p> <p>This data contains the results of a survey of 1017 20x20km sampling units, out of a total of 1200 sampling units identified as potential snow leopard habitat (183 could not be sampled for various reasons), a near complete survey of potential snow leopard habitat in Mongolia, nearly 500,000 square kilometers, and an enormous effort by many researchers. If you make use of the data, please cite the following sources:</p> <ul> <li><em>Data for "Mapping the ghost: Estimating probabilistic snow leopard distribution across Mongolia".</em> (2021). Gantulga Bayandonoi, Koustubh Sharma, Justine Shanti Alexander, Purevjav Lkhagvajav, Ian Durbach, Darryl MacKenzie, Chimeddorj Buyanaa, Bariushaa Munkhtsog, Munkhtogtokh Ochirjav, Sergelen Erdenebaatar, Bilguun Batkhuyag, Nyamzav Battulga, Choidogjamts Byambasuren, Bayartsaikhan Uudus, Shar Setev, Lkhagvasuren Davaa, Khurel-Erdene Agchbayar, Naranbaatar Galsandorj, David Borchers. doi: https://doi.org/10.5281/zenodo.5257572</li> <li><em>Mapping the ghost: Estimating probabilistic snow leopard distribution across Mongolia. </em>(2021). Gantulga Bayandonoi, Koustubh Sharma, Justine Shanti Alexander, Purevjav Lkhagvajav, Ian Durbach, Darryl MacKenzie, Chimeddorj Buyanaa, Bariushaa Munkhtsog, Munkhtogtokh Ochirjav, Sergelen Erdenebaatar, Bilguun Batkhuyag, Nyamzav Battulga, Choidogjamts Byambasuren, Bayartsaikhan Uudus, Shar Setev, Lkhagvasuren Davaa, Khurel-Erdene Agchbayar, Naranbaatar Galsandorj, David Borchers. To appear in <em>Diversity and Distributions</em></li> </ul> <p><strong>Contents of zip file</strong></p> <p><em>Data</em></p> <p>The main dataset is contained in `data\Mongolia_occupancy_inputs.Rdata` . Please see the paper for more detail on data collection. The following objects are contained in the file:</p> <p>- Pres: presence/absence occupancy survey results, used for model fitting<br> - Site_Cov: unit-specific covariates, used for model fitting<br> - SurvCov: survey-specific covariates, used for model fitting<br> - Mongolia_studyarea: covariates for whole survey area, used for prediction<br> - Mongolia_fullrange: covariates across whole expected snow leopard range, used for prediction</p> <p><em>Code</em></p> <p>Code is cloned from the GitHub repository <a href="https://github.com/iandurbach/mongolia-occupancy">https://github.com/iandurbach/mongolia-occupancy</a>, which may contain updates. The version here reproduces the analyses in the paper above. The run these analyses:</p> <p>- run *occupancy-analysis.R* to fit the main occupancy models (these are also saved in the `\output` folder), do model selection, and plot covariate effects<br> - run *occupancy-goodness-of-fit.R* to calculate the c-hat statistic giving an indication of model fit for the best model<br> - run *comparing-maps.R* to compare the occupancy results with similar metrics generated using a presence-only analysis (using MaxEnt) or an expert map generated through qualitative discussion (reproduces Figure 3 in the paper).</p> <p>Code in *occupancy-data-preproc.R* is not needed but included for completeness. It converts the csv files in `data\csv`, which contain various input datasets used by the occupancy model, into a single .Rdata file (`data\Mongolia_occupancy_inputs.Rdata`), which is then used by the scripts above. Some minimal pre-processing (excluding ununsed variables, renaming for consistency, etc) is performed. </p>
FIG. 19 in Customs, rites, and sacrifices relating to a mortuary complex in Late Bronze Age Mongolia (Tsatsyn Ereg, Arkhangai)
FIG. 19. — Orientation of the horse's heads in B10 at Tsatsyn Ereg (n = 30). Data in Appendix 1. Computer aided design: S. Lepetz.
FIG. 15 in Customs, rites, and sacrifices relating to a mortuary complex in Late Bronze Age Mongolia (Tsatsyn Ereg, Arkhangai)
FIG. 15. — Relationship between the number of burnt remains (bars) and the average weight of the remains (black diamonds) for each of the structures at Tsatsyn Ereg.
FIG. 17 in Customs, rites, and sacrifices relating to a mortuary complex in Late Bronze Age Mongolia (Tsatsyn Ereg, Arkhangai)
FIG. 17. — Distribution of the burnt remains by anatomical part for all the circles combined at Tsatsyn Ereg. Computer aided design: M. Coutureau & S. Lepetz.
FIG. 2 in The skull on the hill. Anthropological and osteological investigation of contemporary horse skull ritual practices in central Mongolia (Arkhangai province)
FIG. 2. —, Distribution of the ovoos surveyed north of the Tamir River;, ovoos on which horse skulls were found;, winter encampments of the Bayantsagaan herders. Three linked figures, Sambuu's encampments (winter, spring, and summer)., Sambuu's ovoo, located just slightly higher than his winter encampment. Shaded area, summer encampments of the Bayantsagaan herders (data, C. Marchina, S. Lepetz & C. Salicis; map, S. Lepetz, based on the background map of the Musée d'Anthropologie préhistorique of Monaco, F. Burle).
FIG. 4. — A, B in The skull on the hill. Anthropological and osteological investigation of contemporary horse skull ritual practices in central Mongolia (Arkhangai province)
FIG. 4. — A, B, Skulls of three animals (one calf and two horses) placed in a tree; C, one horse skull taken down from the tree for the purposes of the picture, clearly showing a circular mark of ante-mortem stunning on the forehead.
FIG. 13 in The skull on the hill. Anthropological and osteological investigation of contemporary horse skull ritual practices in central Mongolia (Arkhangai province)
FIG. 13. — Number of horse skulls per age group (in years) and sex, on Sambuu's ovoo. While sex distribution is even, we can see that most of the slaughtered animals are either young (less than four years old) or old. The method used to determine the animals' age is based on the analysis of dental eruption and the degree of wear (Cornevin & Lesbre 1894; Lepetz 2013).
FIG. 6 in The skull on the hill. Anthropological and osteological investigation of contemporary horse skull ritual practices in central Mongolia (Arkhangai province)
FIG. 6. — Stones placed in the skull's cavities: A, skulls located west of the archaeological structure; B, stones inserted between the temporal cavity and the zygomatic arch.
FIG. 9 in The skull on the hill. Anthropological and osteological investigation of contemporary horse skull ritual practices in central Mongolia (Arkhangai province)
FIG. 9. — Repository of metallic items and various animal bones on the central mound of a khirigsuur.
FIGURES 4 5 in Platicrista horribilis, a new species of Tardigrada (Eutardigrada: Hypsibiidae) from Mongolia
FIGURES 4 5. Platicrista horribilis sp. nov. 4, claws of the IV pair of legs (drawn from Phase Contrast Microscope), 5, internal claw of the IV pair of legs (Nomarski Differential Interference Contrast Microscope).
FIG. 5 in Biostratigraphy and Diversity of Paleogene Perissodactyls from the Erlian Basin of Inner Mongolia, China
FIG. 5. Paleogene outcrops on the Houldjin escarpment and Wulanhuxiu (= Chimney Butte, 8 mi north of the Tukhum Lamasery): A, the yellow and gray, pebbly gravels of the Houldjin Formation on the Houldjin escarpment near the Erenhot Railway Station; B, the outcrops at Wulanhuxiu, showing a steep, upper "red member" and a gradual, lower "white member."
FIG. 4 in Biostratigraphy and Diversity of Paleogene Perissodactyls from the Erlian Basin of Inner Mongolia, China
FIG. 4. Stratigraphic distributions of perissodactyl fossils and taxa in the Tukhum, Shara Murun, Ulan Gochu, and Baron Sog formations at Baron Sog Mesa. The profile of the section is based on the sketch at Xilin Nor North (= 4 mi north of Baron Sog Mesa) (Granger, 1925, see also Wang et al., 2012, fig. 2A). The superscripts in front of taxon names indicate the localities of the holotypes: numbers 1, and 2 refer to Ula Usu and 4 mi north of Baron Sog Mesa, respectively. Abbreviations: BS, Baron Sog Formation; Hyra., Hyracodontidae; P., Paraceratheriidae; T, Tukhum Formation; and UG, Ulan Gochu Formation.
FIG. 2 in Biostratigraphy and Diversity of Paleogene Perissodactyls from the Erlian Basin of Inner Mongolia, China
FIG. 2. Cranial and mandibular reconstructions of typical Eocene perissodactyls from the Erlian Basin of Inner Mongolia, China. tapiroid A, Lophialetes expeditus; B, Paracolodon fissus; paraceratheriid C, Pappaceras meiomenus; D, Juxia sharamurenensis; amynodontid E, Rostriamynodon grangeri; F, Sharamynodon mongoliensis; brontotheriid G, Protitan grangeri; H, Embolotherium andrewsi. Scale bar equals 10 cm.
FIG. 1 in Biostratigraphy and Diversity of Paleogene Perissodactyls from the Erlian Basin of Inner Mongolia, China
FIG. 1. Paleogene fossil localities in the Erlian Basin of Inner Mongolia, China, and the related routes of Central Asiatic Expeditions during 1920s (modified from Jiang, 1983; Mao and Wang, 2012; Wang et al., 2012). 1, Houldjin; 2, Arshanto; 3, Irdin Manha; 4, Daoteyin Obo (= Overnight Camp, 5 mi east of Camp Margetts); 5, Duheminboerhe (= Camp Margettes); 6, Nuhetingboerhe (= 6 mi west of Camp Margetts); 7, Wulanboerhe; 8, Huheboerhe (= 7 mi west and southwest [235°] of Camp Margetts); 9, Chaganboerhe (= 10 mi southwest of Camp Margetts); 10, Bayan Ulan; 11, Nom Khong (= Holy Mesa); 12, Wulantaolegai (= Viper Camp, 4 mi north of Tukhum Lamasery); 13, Wulanhuxiu (= Chimney Buttes, 8 mi north of Tukhum Lamasery); 14, Erden Obo (= Urtyn Obo); 15, Ganggan Obo (= Ulan Shireh Obo); 16, Heretu (= Spring Camp); 17, Bayan Obo (= Twin Obos); 18, Jhama Obo; 19, Xilin Nor North (= 4 mi north of Baron Sog Lamasery); 20, Ulan Gochu (= 8 mi north of Baron Sog Lamasery); 21, Ula Usu. The black-and-white dashed line represents railway.
FIG. 7 in Biostratigraphy and Diversity of Paleogene Perissodactyls from the Erlian Basin of Inner Mongolia, China
FIG. 7. Paleogene outcrops in the Shara Murun region: A, the outcrops at Ula Usu, where the Shara Murun Formation was named, showing an upper member dominated by white sandstones and a lower member dominated by sandy clays with varied colors; B, the outcrops at Xilin Nor North (= 4 mi north of Baron Sog Lamasery), showing the red clays of the Ulan Gochu Formation overlying the grayish white sandstones of the upper part of the Shara Murun Formation.
FIG. 6 in Biostratigraphy and Diversity of Paleogene Perissodactyls from the Erlian Basin of Inner Mongolia, China
FIG. 6. Sketch profile from Wulanhuxiu (= Chimney Butte, 8 mi north of Tukhum Lamasery) at North Mesa (Granger, 1928: 6). The layers 3–5 are grouped into an upper "red member", and the layers 6–14 are grouped into a lower "white member."
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Allen Brain Atlas
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