The dataset is the soil adjusted vegetation index (SAVI) products from 1980s to 2019 over the Tibetan Plateau。The dataset is producted based on Landsat surface reflectance dataset. It is calculated by the SAVI equation which is added soil adjusted parameters S based on NDVI equation.And the corresponding production of quality identification documents (QA) is also generated to identify the cloud, ice and snow.SAVI is stable in the sparse vegetation area, but is not sensitive in the dense vegetation area .
PENG Yan
A monthly data set of potential evapotranspiration based on the Penman-Monteith formula (1980-2018) of 1km on the Zoige Plateau. We collected daily meteorological data from 1980 to 2018 from the Meteorological Data Sharing Center of China Meteorological Administration, calculated daily-scale potential evapotranspiration through the Penman-Monteith equation, and accumulated daily-scale potential evapotranspiration to obtain monthly and annual potential evapotranspiration (PET mm/month) , Through the Anusplin professional meteorological interpolation software, the multi-year average annual temperature (MAT) and annual average precipitation (MAP) calculated by each meteorological station are interpolated to obtain a 1km resolution spatial data set.
HU Jian
The effective energy and material transfer (EEMT) data set (1980-2018) for 1km on the Zoige Plateau. Effective energy and matter transfer (EEMT) is closely related to the structure and function of the earth's key zones. The unit of effective energy and matter transfer (EEMT) is (Jm-2 s-1or W m-2). The heat energy (EPPT) related to the effective rain energy material transfer, the net primary production energy material transfer (EBIO), and the effective energy and material transfer (EEMT) (which is the sum of both EPPT and EBIO) are used as comprehensive climate indicators, The EEMTMODEL model simulation method is used to evaluate these three indicators, and the Anusplin interpolation software is used to obtain a spatial data set with a resolution of EEMT 1km.
HU Jian
This data set contains experimentally measured soil nutrient data collected in typical small watersheds in Sichuan Province, Tibet Autonomous Region and Qinghai Province. The data comes from the survey of grassland, cultivated land, and woodland in Minhe County, Menyuan County and the east area of Qinghai Lake in the second Qinghai-Tibet Plateau scientific expedition, and recorded detailed soil parameters (including organic carbon, ph, soil Cation exchange capacity, water content, etc.) can provide important values for tracing the source of soil water erosion in small watershed areas and understanding the soil environment.
SU Zhengan
Data content: the data set product contains the 30-meter resolution product of suspended solids concentration in the water body of the Qinghai-Tibet Plateau, which can be used as the key parameters for ecosystem-related research in Qinghai-Tibet Plateau. Data sources and processing methods: Product inversion is mainly based on the Landsat series data, by extracting the effective aquatic reflectance, to obtain the water composition information. This product is the preliminary result of extracting the concentration information of suspended solids in water using the empirical / semi-empirical method. Data quality: the overall accuracy is high, and the product will be further optimized in combination with the measured data of scientific research. Results and prospects of data application: the data set will be continuously updated and can be used for the study and analysis of ecosystem change in the Qinghai-Tibet Plateau.
LIU Huichan
The dataset is the land surface temperature (LST) product from 1980s to 2019 over the Tibetan Plateau. The dataset is retrieved based on Landsat images and a practical single-channel (PSC) algorithm. When validated with the simulation data set, the root-mean-square error (RMSE) of the PSC algorithm was 1.23 K. The corresponding quality assessment (QA) product is also generated to identify cloud, cloud shadow, ice and snow. LST is a commonly used land surface parameter, which can provide data product support for the research and applications in resources survey, ecological environment monitoring, global change research and other fields.
ZHANG Zhaoming
The dataset includes FPAR, GPP, NPP, evapotranspiration product and LAI product. FPAR product is and LAI product are obtained from the MODIS Terra MOD15A2H dataset, GPP and NPP product are obtained from the MOD15A2H dataset and evapotranspiration product is obtained from MODIS Terra MOD16A2 dataset from 2000 to 2019 over the Tibetan Plateau,which is downloaded from USGS, and their formats are converted from .hdf to .tif by GDAL.The quality assessment files are also included for aboved products,and they are stored in an efficient bit-encoded manner.The MODIS products play an important role in forest, agriculture, ecology.
GONG Chengjuan
The dataset is the MODIS Terra surface reflectance products from 2000 to 2019 over the Tibetan Plateau,each period of data contains 13 files: 7 surface reflectence files, 3 observation angle files, 2 quality control files and 1 time description file. The dataset is download from USGS and its format is converted from .hdf to .tif by GDAL.The sur_refl_qc_500m and sur_refl_state_500m layers are the quality identification documents,which are stored in an efficient bit-encoded manner.The MODIS surface reflectance play an important role in forest, water resources, climate change.
GONG Chengjuan
The dataset is the 30 meter resolution leaf area index (LAI) product from 2010 to 2019 over the Tibetan Plateau. The LAI product was retrieved using Landsat time series data and physically based radiative transfer model, and it is the annual maximum synthetic leaf area index product. When validated with the simulation data set, the root-mean-square error (RMSE) was 1.16. Leaf area index highly integrates the horizontal coverage and vertical structure of vegetation, and is an important structural parameter of the vegetation canopy, which can provide data product support for the research and applications in land surface process simulation, resources survey, ecological environment monitoring, global change research and other fields.
ZHANG Zhaoming
The data set records the output information of main crops in Qinghai Province from 1978 to 2016, mainly including grain, oil, fruit, meat and eggs and main industrial products, aluminum, crude oil, steel, cement and power generation. The data set contains three data tables (1. The data table of main industrial and agricultural products per capita has 17 fields; 2. The data table of crop production by counties has 13 fields; 3. The data table of main industrial and agricultural products per capita and main agricultural products. There are 6 fields in total). The data comes from: "Qinghai Social and Economic Statistical Yearbook" and "Qinghai Statistical Yearbook", with the same precision as the statistical yearbook extracted from the data. This data set is of great value for studying food security and agricultural production in Qinghai Province.
SU Zhengan
The dataset is the 30m resolution burned area product from 1980s to 2019 over the Tibetan Plateau. The dataset is produced using Landsat time series land surface reflectance and machine learning algorithm, and the overall accuracy is over 90%. It can provide data product support for the research and applications in fire monitoring, carbon emission studies, ecological environment monitoring, global change research and other fields.
ZHANG Zhaoming
From July to August 2019, take Hongyuan County on the Qinghai-Tibet Plateau as the scientific research site, select typical land use types of grassland and typical slopes to set up transects. After plant sample surveys, the soil profiles of grassland, shrubs, and wetland ecosystems (0-10 cm, 10-20 cm, 20-40 cm, 40-60 cm and 60-100 cm) soil samples were collected, 3 replicates for each soil layer, 104 soil samples were collected, and the soil was measured The bulk density and water content.Through the sampling of various lines to form the surface sampling points and spatial data sets of the Baihe River Basin, it simulates the spatiotemporal pattern of typical water and soil ecosystem services such as ecosystem production, carbon fixation, hydrological regulation and soil conservation, and reveals the spatiotemporal changes of water and soil ecosystem services at the basin scale Pattern, combined with factors such as climate change, socio-economic data, implementation of ecological and environmental protection policies, and land use change.
HU Jian
Collect daily meteorological data from 1980 to 2018 from the Meteorological Data Sharing Center of China Meteorological Administration. Humidity Index (HI) is calculated by the ratio of annual precipitation to potential evapotranspiration. Anusplin interpolation software is used to obtain a spatial dataset of HI 1km resolution.Through spatial data collection, model simulation of the spatiotemporal pattern of typical water and soil ecosystem services such as ecosystem production, carbon fixation, hydrological regulation, and soil conservation, revealing the spatiotemporal change pattern of water and soil ecosystem services in the watershed, combining climate change, socioeconomic data and ecological environmental protection policies Implementation, land use conversion and other factors, combined with trade-off analysis and structural equation modeling to quantify the trade-offs and synergies of these water and soil ecosystem services and their main driving forces, to provide more effective and scientific ecological protection and multi-purpose land use for Ruoergai Wetland Optimal management provides theoretical support.
HU Jian
The data set mainly includes the species, quantity, distribution characteristics, production performance data, photos and sample collection information of livestock breeds in typical counties of Qinghai Tibet Plateau. The data set provides basic data for livestock related research in Qinghai Tibet Plateau.The data mainly came from field survey and literature collection, and Excel was used for collation and analysis.To check the data, to eliminate differences, and complement the lack of data, make a good representative data.After the completion of data collection, the genetic diversity of livestock was analyzed and evaluated to provide effective basic research data for animal husbandry research in Qinghai Tibet Plateau.
WANG Fei
The data set mainly includes the species, quantity, distribution characteristics and related characteristics of cultivated herbage, wild herbage and poisonous herbage in typical counties on the Qinghai-Tibet Plateau, as well as the survey data, photos and plant specimen collection information of natural grassland sample plots. The data set can be used to establish the relevant database of herbage in this region, which can be used to analyze the distribution and development of herbage resources in this region, and put forward the utilization and protection countermeasures. Data came from field investigation and literature collection, and Excel was used for sorting and analysis. The obtained data were checked, the data with large differences were eliminated, and the missing data were supplemented to make the data have better representativeness. The data set can be used to study the rational allocation of natural grassland and artificial grassland in Qinghai-Tibet Plateau, and to plan the rational distribution of artificial grassland.
WANG Fei
Ground-penetrating radar method is a narrow pulse broadband high-frequency electromagnetic wave signal detection of underground media distribution technology method, with fast, non-destructive, continuous detection and real-time display characteristics. The use of detection instrument is GR-IV type geological radar, and set up different power antenna, in August 2019 and August 2020 to carry out 2 years of coverage of Namucuo Niyaqu typical wetland area within the range of ground-penetrating radar observation, obtained the 2019-2020 Namucuo typical wetland ground-penetrating radar data set, and data format is raw.
DU Jianqing
Soil profiles in this dataset were surveyed in the western and central Qinghai-Tibet Plateau in July 2019, including Ali, Xigaze and Naqu of the Tibet and Kashgar and Hotan of the Xinjiang. Information on the profile ID, longitude, latitude, soil types was provided. Soil types were referenced according to the Chinese Soil Taxonomy. The Chinese Soil Taxonomy is a hierarchical system, in which 6 categories were defined: Order, Suborder, Group, Subgroup, Family and Series. The sampling location was recorded by a handheld GPS receiver. Especially, these soil types were initially determined based on the diagnostic horizons and diagnostic properties identified in field. Due to the effect of epidemic, physicochemical properties of some soil samples have not been achieved and thus some soil types need to be updated in the following months.
This data set contains the biological property data of soil samples from several scientific research routes in the Qinghai Tibet Plateau from 2019 to 2021, including the information of the collector, collection time, collection location, longitude and latitude, altitude, vegetation type, sampling depth, phosphatase activity, microbial respiration, nitrogen transformation characteristics, functional gene abundance, fungi, bacteria, protobiotic diversity, etc. The analysis of various soil properties refers to the requirements of "technical specification for soil environmental quality monitoring", and the first-hand data obtained through laboratory analysis. The data quality is controlled by determining blank samples, duplicate samples and standard samples. The data set can be used to evaluate soil quality and function under the influence of climate change and human activities.
ZHANG Limei
The composition, lamellate structure, diversity and biomass of main desert plant communities in Gansu were investigated, and the density, frequency, dominance and element content of the building plants in the desert plant communities were determined, which provided basic data for the stable maintenance and protection of desert ecosystem in Gansu.This data includes species name, quantity, life form, coverage, density, height and biomass of main desert plant communities in Gansu Province.Community characteristics of 124 sites were investigated, which were divided into herb and shrub parts.At the same time, with latitude and longitude and habitat information.All data were obtained from field surveys by ecological professionals and were original data.The data quality is reliable and can be reused.
WANG Shaokun
In this paper, we review evidence for a major biotic turnover across the Oligocene/Miocene in the Tibetan Plateau region. Based on the recent study of six well-preserved fossil sites from the Cenozoic Lunpola and Nima basins in the central Tibetan Plateau, we report a regional changeover from tropical/subtropical ecosystems in the Late Oligocene ecosystem (26–24 Ma) to a cooler, alpine biota of the Early Miocene (23–18 Ma). The Late Oligocene fossil biota, comprising of fish (climbing perch), insects and plants (palms), shows that the hinterland of the Tibetan Plateau was a warm lowland influenced by tropical humidity from the Indian Ocean. In the Early Miocene, the regional biota became transformed, with the evolution and diversification of the endemic primitive snow carp. Early Miocene vegetation was dominated by temperate broad-leaved forest with abundant conifers and herbs under a cool climate, and mammals included the hornless rhinoceros, Plesiaceratherium, a warm temperate taxon. This dramatic ecosystem change is due to a cooling linked to the uplift of Tibetan region, from a Late Oligocene paleo-elevation of no greater than 2300 m a.s.l. in the sedimentary basin to a paleo-elevation of about 3000 m a.s.l. Another factor was the Cenozoic global climatic deterioration toward to an ice-house world.
DENG Tao
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