Comparison vegetation parameters inside and outside the project area

1) Data content: the data are field sampling data of fence project, including sample number, grassland type, survey County, survey location, project type, project start time, "longitude (° E)", "latitude (° n)", "altitude (m)", "total coverage (%)," average height (CM) ", aboveground biomass (g / m2), underground biomass (g / m2), and total biomass (g / m2), 2) Data source: field sampling data 3) Data quality: high quality. 4) Data application prospects: it will be of great significance for promoting the development of local animal husbandry and improving the local economic benefits by deeply exploring the grassland fence project on the Qinghai Tibet Plateau. In terms of the expected results, the Qinghai Tibet Plateau grassland fencing project will achieve remarkable results in protecting grassland and restoring regional vegetation productivity. The implementation of the project provides a broader space for the development of regional animal husbandry, and ensures the stable growth of local farmers and herdsmen's income and regional economy. In addition, the implementation of the project ensures and supports the normal production and life of Tibetan herdsmen, and realizes the stable development of grassland protection and animal husbandry production of herdsmen in the pastoral areas, which is of great significance for maintaining the overall stability of Tibet society and promoting the sound and rapid development of Tibet.

0 2021-05-31

1:100,000 land use dataset of Tibet Autonomous Region (1980s)

This data was derived from "1: 100,000 Land Use Data of China". Based on Landsat MSS, TM and ETM remote sensing data, 1: 100,000 Land Use Data of China was compiled within three years by a remote sensing scientific and technological team of 19 research institutes affiliated to the Chinese Academy of Sciences, which was organized by the “Remote Sensing Macroinvestigation and Dynamic Research on the National Resources and Environment", one of the major application programs in Chinese Academy of Sciences during the "Eighth Five-year Plan". This data adopts a hierarchical land cover classification system, which divides the country into 6 first-class categories (cultivated land, forest land, grassland, water area, urban and rural areas, industrial and mining areas, residential land and unused land) and 31 second-class categories. This is the most accurate land use data product in our country at present. It has already played an important role in national land resources survey, hydrology and ecological research.

0 2020-06-11

1:100,000 land use dataset of Tibet Autonomous Region (1995)

This data was derived from "1: 100,000 Land Use Data of China". Based on Landsat MSS, TM and ETM remote sensing data, 1: 100,000 Land Use Data of China was compiled within three years by a remote sensing scientific and technological team of 19 research institutes affiliated to the Chinese Academy of Sciences, which was organized by the “Remote Sensing Macroinvestigation and Dynamic Research on the National Resources and Environment", one of the major application programs in Chinese Academy of Sciences during the "Eighth Five-year Plan". This data adopts a hierarchical land cover classification system, which divides the country into 6 first-class categories (cultivated land, forest land, grassland, water area, urban and rural areas, industrial and mining areas, residential land and unused land) and 31 second-class categories. This is the most accurate land use data product in our country at present. It has already played an important role in national land resources survey, hydrology and ecological research.

0 2020-06-10

The surface elevation structure in Tibet Autonomous Region (1988-1994)

The data set contains the surface elevation structure data in Tibet from 1988 to 1994, including the proportions of land area at different altitudes in each year of the total land area in Tibet. The data were derived from the Tibet Society and Economics Statistical Yearbook and the Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. The table contains 3 fields. Field 1: Year Interpretation: Year of the data Field 2: Altitude Unit: m Field 3: The proportion in land area of Tibet %

0 2020-05-28

1:100,000 land use dataset of Tibet Autonomous Region (2000)

This data was derived from "1: 100,000 Land Use Data of China". Based on Landsat MSS, TM and ETM remote sensing data, 1: 100,000 Land Use Data of China was compiled within three years by a remote sensing scientific and technological team of 19 research institutes affiliated to the Chinese Academy of Sciences, which was organized by the “Remote Sensing Macroinvestigation and Dynamic Research on the National Resources and Environment", one of the major application programs in Chinese Academy of Sciences during the "Eighth Five-year Plan". This data adopts a hierarchical land cover classification system, which divides the country into 6 first-class categories (cultivated land, forest land, grassland, water area, urban and rural areas, industrial and mining areas, residential land and unused land) and 31 second-class categories. This is the most accurate land use data product in our country at present. It has already played an important role in national land resources survey, hydrology and ecological research.

0 2020-03-31

Y chromosome SNP and STR data of Tibetans from Lhasa

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.

0 2020-03-19