Meteorological observation data at grassland site of Ngoring Lake basin from 2017 to 2020

This data set is the conventional meteorological observation data of the Ngoring Lake Grassland Observation site (GS) in the source region of the Yellow River from 2017 to 2020, obtained by using Kipp&Zonen CNR4, Vaisala HMP155A, PTB110 and other instruments, with a time resolution of half an hour. Mainly include wind speed, wind direction, temperature, relative humidity(specific humidity in 2020), air pressure, downward short-wave radiation, downward long-wave radiation, precipitation.

0 2022-10-20

Meteorological observation data at Maqu grassland site from 2017 to 2020

This data set is the conventional meteorological observation data of Maqu grassland observation site in the source region of the Yellow River from 2017 to 2020, obtained by using Kipp&Zonen CNR4, Vaisala HMP155A, PTB110 and other instruments, with a time resolution of half an hour. Mainly include wind speed, wind direction, temperature, relative humidity, air pressure, downward short-wave radiation, downward long-wave radiation, precipitation.

0 2022-10-20

Data set of soil microbial diversity in Namco, Qinghai Tibet Plateau (2015)

This data includes the distribution data of soil bacteria in Namco region of the Qinghai Tibet Plateau, which can be used to explore the seasonal impact of fencing and grazing on soil microorganisms in Namco region. The sample was collected from May to September 2015, and the soil samples were stored in ice bags and transported back to the Ecological Laboratory of Beijing Institute of Qinghai Tibet Plateau Research; This data is the result of amplification sequencing, using MoBio Powersoil ™ Soil DNA was extracted with DNA isolation kit, and the primers were 515F (5 '- GTGCCAAGCGCCGGTAA-3') and 806R (5'GGACTACNVGGGTWTCTAAT-3 '). The amplified fragments were sequenced by Illumina Miseq PE250. The original data is analyzed by Qiime software, and then the similarity between sequences is calculated, and the sequences with a similarity of more than 97% are clustered into an OTU. The Greengenes reference library is used for sequence alignment to remove the sequence that only appears once in the database. The soil moisture content and soil temperature were measured by a soil hygrometer, and the soil pH was measured by a pH meter (Sartorius PB-10, Germany). The soil nitrate nitrogen (NO3 −) and ammonium nitrogen (NH4+) concentrations were extracted with 2 M KCl (soil/solution, 1:5), and analyzed with a Smartchem200 discrete automatic analyzer. This data set is of great significance to the study of soil microbial diversity in arid and semi-arid grasslands.

0 2022-10-14

Data set of soil microbe in grassland of Qinghai Tibet Plateau (2017)

Data on soil bacterial diversity of grassland in Qinghai Tibet Plateau. The samples were collected from July to August 2017, including 120 samples of alpine meadow, typical grassland and desert grassland. The soil surface samples were collected and stored in ice bags, and then transported back to the ecological laboratory of the Beijing Qinghai Tibet Plateau Research Institute. The soil DNA was extracted by MO BIO PowerSoil DNA kit. The 16S rRNA gene fragment amplification primers were 515F (5 '- GTGCCAAGCCGGTAA-3') and 806R (5 ´ GGACTACNVGGGTWTCTAAT-3 ´). The amplified fragments were sequenced by Illumina Miseq PE250. The original data is analyzed by Qiime software, and the sequence classification is based on the Silva128 database. Sequences with a similarity of more than 97% are clustered into an operation classification unit (OTU). This data systematically compares the bacterial diversity of soil microorganisms in the Qinghai Tibet Plateau transect, which is of great significance to the study of the distribution of microorganisms in the Qinghai Tibet Plateau.

0 2022-10-14

Coupling model of grass and livestock in Qilian Mountains and its optimal allocation results

In this data set, the effects of different proportions of oat grass and natural grass on digestion and metabolism of grazing Tibetan sheep in summer were studied with four proportions of oat grass and natural grass in Qilian alpine meadow. It includes dry matter (DM), organic matter (OM), crude protein (CP), crude fat (EE), neutral detergent fiber (NDF) and acid detergent fiber (ADF) intake and digestibility of grazing Tibetan sheep. Through the analysis of data, the natural forage in summer can meet the growth and metabolism of Tibetan sheep, and it is not suitable to feed oat grass.

0 2022-06-21

Field investigation of elements (carbon, nitrogen, phosphorus, sulfur, potassium) of vegetation in the Water tower area of Qinghai Tibet Plateau and Himalayan Mountains (2020s)

Carbon, nitrogen, phosphorus, sulfur and potassium are important basic life elements of ecosystem. It plays an important role in revealing the impact of its regional variation and spatial pattern on human activities and the sustainable development of ecosystem in the future. The Qinghai Tibet Plateau has unique alpine vegetation types and rich vertical zone landforms and surface cover types. The biogeographic pattern of surface elements (carbon, nitrogen, phosphorus, sulfur, potassium) is an important manifestation of the coupling of carbon, nitrogen and water cycle processes and related mechanisms of alpine ecosystems. This dataset focuses on the distribution pattern and spatial variation of surface materials (plant leaf branch stem root and litter) in the complex ecosystem of the Water tower area of Qinghai Tibet Plateau and Himalayan Mountains, in order to provide data support for regional model simulation and ecological management.

0 2022-05-30

Aboveground biomass data set of temperate grassland in northern China (1993-2019)

Based on a large number of measured aboveground biomass data of grassland, the temperate grassland types were divided according to the vegetation type map of China in 1980s Based on the Landsat remote sensing data of engine platform, the random forest model of grassland aboveground biomass and remote sensing data was constructed for different grassland types. On the basis of reliable verification, the annual aboveground biomass of grassland from 1993 to 2019 was estimated, and the annual spatial data set of aboveground biomass of temperate grassland in Northern China from 1993 to 2019 was formed. Aboveground biomass is defined as the total amount of organic matter of vegetation living above the ground in unit area. The original grid value has been multiplied by a factor of 100, unit: 0.01 g / m2 (g / m2). This data set can provide a scientific basis for the dynamic monitoring and evaluation of temperate grassland resources and ecological environment in northern China.

0 2022-04-18

Data set of grassland growth in Qilian Mountain Area

The data set is the measured data, which is obtained through the three-year field survey from 2019 to 2021. There are 59 sample points and 590 quadrats in total. It includes the grassland growth status of different grassland types in 14 typical counties in Qilian Mountain Area (Aksai, Dachaidan, Delingha, Dulan, Gangcha, Gaotai, Golmud, Huangcheng Town, Mangya City, Menyuan County, Qilian County, Shandan County, Sunan County and Wulan county). The indicators include species diversity, dominant species, edible forages, poisonous weeds Dry weight of edible forage and dry weight of poisonous weeds. This data set investigates edible forage and poisonous weeds separately, which can provide accurate data support for calculating effective livestock carrying capacity.

0 2022-04-02

Dataset of vegetation and soil plot survey in Jianghu Source region of Tibet  from 2019 to 2021

Using the quadrat survey method, natural grassland, fenced natural grassland and artificial grassland are arranged in the source area of rivers and lakes in Tibet to investigate grassland type, coverage, species composition, aboveground biomass, soil temperature, soil bulk density, soil water content, soil texture, soil pH, soil organic matter, soil total P and soil total K, The characteristics of vegetation community and soil quality under different grassland utilization modes were compared and analyzed to study the impact of grassland utilization on vegetation and soil environment. The data collection year is from August 2019 to August 2021, and the collection location is the source area of Jianghu and surrounding areas. The altitude of the sample point is the GPS recorded data, the vegetation type is the mapping of the sample point in the vegetation map of China, the soil temperature and humidity is the soil 4 parameter speedometer data, the soil bulk density is the measured data of the sample point, the number of herbaceous species, grassland coverage and aboveground biomass are the sample survey data, and the soil particle size, organic matter and nutrient content are the sample laboratory analysis data.

0 2022-02-10

Analysis data of plant carbon and nitrogen cycle (2019-2020)

The data were collected from the sample plot of Haibei Alpine Meadow Ecosystem Research Station (101°19′E,37°36′N,3250m above sea level), which is located in the east section of Lenglongling, the North Branch of Qilian Mountain in the northeast corner of Qinghai Tibet Plateau. Alpine meadow is the main vegetation type in this area. The data recorded the light, air temperature and humidity, wind temperature and wind speed above the alpine plant canopy. The radiation intensity above the alpine plant canopy was recorded by LI-190R photosynthetic effective radiation sensor (LI-COR, Lincoln NE, USA) and LR8515 data collector (Hioki E. E. Co., Nagano, Japan), and the recording interval was once per second. S580-EX temperature and humidity recorder (Shenzhen Huatu) and universal anemometer are used (Beijing Tianjianhuayi) record the daily dynamics of air temperature and humidity, wind temperature and wind speed every three seconds. The recording time is from 10:00 on July 13 to 21:00 on August 17, Beijing time. Due to the need to use USB storage time and replace the battery every day, 3-5min of data is missing every day, and the missing time period is not fixed. At present, the data has not been published. Through research on the data The data can further explore the microenvironment of alpine plant leaves and its possible impact on leaf physiological response.

0 2022-01-18