To investigate the paternal genetic structure of Tibetans from Lhasa, 1029 male samples were collected from Lhasa, Tibet. Firstly, SNP genotyping was performed to allocate samples into haplogroups. To further evaluate the genetic diversity of the major Y-chromosomal haplogroup in Tibetan populations from Lhasa, eight commonly used Y-chromosomal STR (short tandem repeat) loci (DYS19, DYS388, DYS389I, DYS389II, DYS390, DYS391, DYS392, and DYS393) were genotyped using fluorescence-labeled primers with an ABI 3130XL Genetic Analyzer (Applied Biosystems, USA). The results indicated that haplogroup D-M174 displayed highest frequency in Lhasa Tibetans (56.56%, the majority of its sublineages were D3*-P99), followed by haplogroups O-M175 (30.71%, with most of the samples belonging to O3a3c1-M117). Another relatively rare lineages in Lhasa Tibetans were N-M231 (5.15%, especially its sublineage N1*-LLY22G), C-M130 (2.62%), R-M207 (2.53%), Q (1.55%), J (0.68%), K-M, and T. Further analysis indicated that the Lhasa Tibetans’ Y chromosome haplogroups have ages within different periods, including >30 kya, LGM, post-LGM, Holocene, indicating occupation of modern humans in different periods.
KONG Qingpeng, QI Xuebin
By archaeological investigation and excavation in Tibetan Plateau, we discovered 14 historic period sites, including Meinuo, Sariguo, Rongwaguo, Kaze, Jiha, Yarigei, Bami, Barongbadang, Qingtu, Labu ,Maisong Petroglyph, Gala, Yezere 1 and Yezere 4 . In this dataset, there are some basic informations about these sites, such as location, longitude, latitude, altitude, material culture and so on. On this Basis, we identified animal remains, plant macrofossil, selected some samples for radiocarbon dating and stable carbon and nitrogen isotopes. This dataset provide important basic data for understanding when and how prehistoric human lived in the Tibetan Plateau during the historic period.
DONG Guanghui , HOU Guangliang
From April to June 2019, we used both live traps and camera traps to collect mammal diversity and distributions along the elevational gradients at the Yarlung Zangbo Grand Canyon National Nature Reserve. We set 64 trap lines for small mammals inventory, with a total of 11456 live trap nights. We collected 1061 individuals and 2394 tissue samples of small mammals during the field sampling. We also retrived images of 60 camera traps placed between October 2018 and April 2019. We obtained 4638 pictures of wild animals and 654 captures of anthopogenic activities. The camera traps were reset in the same locations after renew batteries and memory cards. Small mammal data consist of richness, abundance, traits, environmental gradients etc, and could be used to model relationship between environmental gradients and traits concatenated by richness matrix. Camera trap data could inventory endangered species in the region, and provide information to identify biodiversity hotspots and conservation priorities.
LI Xueyou
Taking Landsat series data as the main data source, including KH in 1965 (only including Gurinai and Guaizi Lake), MSS in 1975, TM in 1990, 1995, 2006 and 2010, and ETM in 2000. Before information extraction, remote sensing images are preprocessed by image synthesis, mosaic, fusion, geometric correction and image enhancement. In the process of correction, ETM + image in 2000 is corrected by 1:100000 topographic map and used as reference image. The 4, 3 and 2 band standard pseudocolor synthesis scheme is selected for image synthesis; during correction, 7 × 8 control points are evenly selected on each image, and the average positioning error is less than 1 pixel, that is, the ground distance is less than 30m. In other years, the datum image of 2000 is used as the reference image for image registration, so that the pixels with the same name on different images have the same geographical coordinates. After correction and registration, the whole image maintains the 30 m spatial resolution of TM. Through field correction, the accuracy of qualitative analysis can be ensured to be over 95%.
XIAO Shengchun
This dataset subsumes sustainable livestock carrying capacity in 2000, 2010, and 2018 and overgrazing rate in 1980, 1990, 2000, 2010, and 2017 at county level over Qinghai Tibet Plateau. Based on the NPP data simulated by VIP (vehicle interface process), an eco hydrological model with independent intellectual property of the institute of geographic sciences and nature resources research(IGSNRR), Chinese academy of Sciences(CAS), the grass yield data (1km resolution) is obtained. Grass yield is then calculated at county level, and corresponding sustainable livestock carring capacity is calculated according to the sustainable livestock capacity calculation standard of China(NY / T 635-2015). Overgrazing rate is calculated based on actual livestock carring capacity at county level.The dataset will provide reference for grassland restoration, management and utilization strategies.
MO Xingguo
The content of this data set is the measurements of body weight and body size (body height, body length, chest circumference, tube circumference) of 11 representative yak populations in Qinghai pastoral area at 2018. All the metadata comes from the work of body weight monitoring of yaks in Qinghai pastoral area at 2018, by the Northwest Institute of Plateau Biology, Chinese Academy of Sciences and Qinghai Academy of Animal Husbandry and Veterinary Sciences. The data set is named by “Monitoring Data Set of Body Weights of Traditional Grazing Yaks in Qinghai Pastoral Area (2018)”, consisting of 11 worksheets. The names and contents of worksheets are as follows: 1. Haiyan-Halejing (167 yaks in halejing Mongolian Town, Haiyan County, Haibei Tibetan Autonomous Prefecture); 2. Qilian-Mole (69 yaks in Mole Town, Qilian County, Haibei Tibetan Autonomous Prefecture); 3. Qilian-Yeniugou (42 yaks in Yeniugou Town, Qilian County, Haibei Tibetan Autonomous Prefecture); 4. Qilian-Yanglong (104 yaks in Yanglong Town, Qilian County, Haibei Tibetan Autonomous Prefecture); 5. Qilian-Ebao (28 yaks in Ebao Town, Qilian County, Haibei Tibetan Autonomous Prefecture); 6. Tianjun-Xinyuan (38 yaks in Xinyuan Town, Tianjun County, Haixi Mongolian and Tibetan Autonomous Prefecture); 7. Tianjun-Longmen (100 yaks in Longmen Town, Tianjun County, Haixi Mongolian and Tibetan Autonomous Prefecture); 8. Gande-Ganlong (36 yaks in Ganglong Town, Gande County, Guoluo Tibetan Autonomous Prefecture); 9. Guinan-Taxiu (70 yaks in Taxiu Town, Guinan County, Hainan Tibetan Autonomous Prefecture); 10. Henan-Kesheng (73 yaks in Kesheng Town, Henan Mongolian Autonomous Country, Huangnan Tibetan Autonomous Prefecture); 11. Ledu-Dala (50 yaks in Dala Town, Ledu District, Haidong City). This data set comprehensively evaluates the growth performance of yaks grazing in alpine meadow under the current ecological environment through the measurement of weight and body size data in the representative areas of Qinghai pastoral area. The data set can be compared with the growth characteristics of representative populations of Qinghai yaks measured in 1981 and 2008 recorded in 1983 and 2013, and the degradation index of growth performance of yaks grazing in Qinghai pastoral area can be obtained, which is helpful to assess the impact of ecological environment changes on the growth and production performance of grazing livestock.
JIA Gongxue, YANG Qien, Tianwei XU
This data set comes from shallow marine carbonate sections at Tingri and Gamba, south Tibet. The age of these samples is about 56 Ma (at the Paleocene-Eocene boundary). At Tingri, we studied two parallel sections (13ZS section and 10-11TM section), and at Gamba, we studied one section (11TMG). From the 13ZS section, we analyzed carbon and oxygen isotopic compositions and calcium carbonate content of the whole carbonate rock, as well as the in-situ carbon isotopic compositions and element contents of the foraminifera shell. From the 10-11TM section, we analyzed carbon, oxygen and strontium isotopic compositions of the whole rock. From the 11TMG section, we analyzed carbon and oxygen isotopic compositions of the whole carbonate rock. Carbon and oxygen isotopic compositions of the whole rock were measured by gas isotope mass spectrometer (MAT251), strontium isotope by thermal ionization mass spectrometry (TIMS), calcium carbonate content by acid dissolution, in-situ carbon isotopic compositions by SIMS, and in-situ element contents by LA-ICPMS. Among these data, in-situ carbon isotope data were obtained from the laboratory of Professor John Valley at the University of Wisconsin-Madison in the United States, and the rest are from the relevant laboratories of the Department of Geosciences at the University of Bremen in Germany. Based on these data, we published three peer-reviewed papers on Journals of Gondwana Research, GSA Bulletin, and Global and Planetary Change.
ZHANG Qinghai
This data set comprises several great achievements of vertebrate paleontology of Tibetan Plateau in the Recent three years. Wang et al. (2016) reported Protovis himalayensis gen. et sp. nov., suggest that the Tibetan Plateau, possibly including Tianshan-Altai, represents the ancestral home range(s) of mountain sheep and that these basal stocks were the ultimate source of all extant species. Li et al. (2017) reported two new hamster species: Nannocricetus qiui and Aepyocricetus liui, indicated that the dispersal of these hamsters into the high-elevation portions of Tibet during the early Pliocene contrasts with the hypothesized biogeographic shift of several large mammal lineages out of Tibet. Wu et al. (2017) reported Eoanabas thibetana gen. et sp. nov., suggests an elevation of North Tibet in late Oligocene was ca. 1,000 m, conflict with conclusions of a high and dry Tibet claimed by some recent and influential palaeoaltimetry studies. The data is from pictures of materials of research achievement above. These lead research on Tibetan Plateau to some new ways.
WU Feixiang
This data set is the data set of ecological elements in the Qinghai Tibet Plateau from 1990 to 2015. It records the change of area proportion of wetland, grassland, forest land and sand land in 15 prefecture level units in Qinghai and Tibet every five years. The data is excel file, and the spatial resolution is the scale of prefecture level administrative unit. The data is based on the land use type data of the Qinghai Tibet Plateau, and is obtained by calculating the proportion of wetland, grassland, forest land and sand land in the area of each land unit. The data set can be used for the change analysis and research of ecological elements of the Qinghai Tibet Plateau, and can provide data support for the study of interaction stress between urbanization and ecological environment.
DU Yunyan, YI Jiawei
This framework aims to explore the impact of climate change on the fitness of ectotherms. We obtain the morphology, physiology, behavior and life history parameters of the animals by consulting literature and experimental research; then use the microclimate model and global warming data to obtain microclimate data at the current and the end of the century; and then use the biophysical model to calculate adult body temperature and embryonic developmental temperature. We construct a life history mechanism model to calculate the energy budget of the reproductive female and the total energy of the surviving offspring, and assess the vulnerability of ectotherms in each region. The main point of this study is to construct a segmental life history mechanism model for species of two reproductive modes, so that the start time and duration of each life history can be dynamically calculated, and the energy of each life history stage can be calculated by combining energy metabolic and embryonic development models.
ZENG Zhigao
The birds along the Zhamo Highway in Medog and Bome counties are investigated by mist net method and point count method. According to the 400-meter elevation span, elevation transects were set up in the survey area. Four elevation transects are set up in the north slope from Gangcun to Galong Temple in Bome County, from low to high, and nine elevation transects are set up in the south slope from Jiefang Bridge to Galongla in Medog County. So that we can make a breakthrough understanding the formation and maintenance mechanism of bird diversity in this region. The data of bird diversity and distribution will be used to further explore the key scientific issues such as the impact of climate change on bird diversity and adaptation strategies, and the response and protection strategies of bird species diversity under the global climate change.
DONG Feng
This data set contains 2018 global forest fire case data for the whole year and 2019, including the forest fire in California in November 2018, the forest fire in Attica, Greece in July 2018, and the forest fire in Shanxi Province in March 2019. Case data. Specific data include: fire intensity data of the monitoring range and data of vegetation index changes before and after the disaster. The data set is mainly used to describe the occurrence, development, impact and recovery of major global forest fire events in the first half of 2018-2019. The data mainly comes from NASA official website and EM-DAT database, it was processed by statistical and spatial analysis methods using EXCEL and ArcGIS tools. The data source is reliable, the processing method is scientific and rigorous, and it can be effectively applied to global (forest fire) disaster case analysis research.
YANG Yuqing, GONG Adu, WU Jianjun, ZHOU Hongmin
Based on high-throughput sequencing technology, we sequenced complete mitochondrial genomes of 671 Tibetan individuals from the Tibetan Plateau. The average sequencing depth is 1000×, covering the whole mitochondrial genome of each sample (100%). Quality control was conducted based on phylogenetic analysis, which has been proven to be of great help in distilling potential problems such as artificial recombination. By combining complete mitogenome data from literature, we analyzed how the genetic landscape of Tibetans established, with special attempts to unravel what kind of factors played the most important roles in this process. Results indicated about 20.98% of Tibetan haplogroups differentiated in Tibetans around 5.2–4.0 ka and originated in northern China from 10–6 ka, well matching the dispersal history of millet agriculture. Estimations further suggested that the frequencies of both haplogroups were much more pronounced (40%–50%) in Tibetans before the massive immigrations onto the TP during the historical period. Our study suggests that the migration of millet farmers from northern China played an important role in shaping the genetic landscape of Tibetans.
KONG Qingpeng
From October to November 2018, we used both live traps and camera traps to collect mammal diversity and distributions along the elevational gradients at the Yarlung Zangbo Grand Canyon National Nature Reserve. Small mammal diversity and abundance were collected at 5 elevational belts range between 2600m and 3500m above sea level, with a total of 2776 live trap nights. We collected 439 individuals and 878 tissue samples of small mammals during the first field sampling. We also located 60 camera traps along elevational gradient range between 1050m and 3960m asl, and plan to collect the camera trapping data in May 2019. Small mammal data consist of richness, abundance, traits, environmental gradients etc, and could be used to model relationship between environmental gradients and traits concatenated by richness matrix. Camera trap data could inventory endangered species in the region, and provide information to identify biodiversity hotspots and conservation priorities.
LI Xueyou
By archaeological investigation and excavation in Tibetan Plateau, we discovered 8 Neolithic and Bronze Age sites, including Gaomuxudi, Duojialiang, Shuikou, Qipanshan, Xinzhai, Canxionggasu, Niaodao, Bangga, Baiyangcun and so on. In this dataset, there are some basic informations about these sites, such as location, longitude, latitude, altitude, material culture and so on. On this Basis, we identified animal remains, plant macrofossil, selected some samples for radiocarbon dating and stable carbon and nitrogen isotopes. This dataset provide important basic data for understanding when and how prehistoric human lived in the Tibetan Plateau during the Neolithic and Bronze Age.
DONG Guanghui , YANG Xiaoyan, Lü Hongliang
By archaeological investigation and excavation in Tibetan Plateau, we discovered 8 Paleolithic sites, including 151, Jiangxigou 1, Jiangxigou 2, Heimahe 1, Xiadawu, Yezere, Niamudi and Lingjiong. In this dataset, there are some basic informations about these sites, such as location, longitude, latitude, altitude, material culture and so on. On this Basis, we identified animal remains, plant macrofossil, selected some samples for radiocarbon dating and stable carbon and nitrogen isotopes. This dataset provide important basic data for understanding when and how prehistoric human lived in the Tibetan Plateau during the Paleolithic.
ZHANG Dongju , ZHANG Xiaoling, LIU Xiangjun
The data set was obtained from the background survey of wildlife diversity in Three River Source National Park by Northwest Institute of Plateau Biology, Chinese Academy of Sciences. The time range of the data set is 2017, and the survey area is Three River Source National Park. The survey species include a variety of rare wildlife such as Equus kiang, Canis lupus, Vulpes vulpes, Cervus elaphus, Accipiter nisus, Phoenicurus erythrogastrus, Prionailurus bengalensis, Buteo hemilasius, Procapra picticaudata, Tetraogallus tibetanus, Perdix hodgsoniae, Falco cherrug, etc.
ZHANG Tongzuo
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