Data set of vegetation investigation of in river and lake source (2020)

A standardized field survey was carried out from August to September 2020 in the source areas of rivers and lakes in Tibet Autonomous Region. A total of 25 samples and 75 quadrats were investigated. The data set includes sample number, plot number, latitude and longitude, altitude, aboveground biomass, species number and coverage of the plot, and the data format is Excel. The area volume of collected and investigated samples was 100cm*100cm, and each sample site had 3 quadrats named Plot1, Plot2 and Plot3. All data were collected and measured in the field, and the quality of data was ensured in the field survey according to the vegetation survey specifications. This dataset provides theoretical basis for rational utilization of grassland resources and data support for comprehensive evaluation of environmental effects of typical land use change.

0 2021-12-28

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2020)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of seed corn during the growing period in 2020 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 31 to September 22, 2020. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 19 observations were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2019)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of seed corn during the growing period in 2019 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 17 to September 23, 2019, in which LAI started from June 11. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 20 observations (LAI was 15) were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2018)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of field corn during the growing period in 2018 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 26 to September 26, 2018, in which LAI started from May 30. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 22 observations (LAI was 20) were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2017)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of seed corn during the growing period in 2017 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 15 to September 21, 2017, in which LAI started from June 6. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 21 observations (LAI was 17) were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2016)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of seed corn during the growing period in 2016 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 19 to September 5, 2016, in which LAI started from May 30. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 18 observations (LAI was 9) were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2015)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of seed corn during the growing period in 2015 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 10 to September 21, 2015, in which LAI started from May 25. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 21 observations (LAI was 18) were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

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

Dataset of above ground biomass in Sanjiangyuan region (2000, 2010, 2015 )

The method of aboveground biomass of grassland is zonal classification model. The data years were 2000, 2010 and 2015, and the fresh vegetation weight was based on the first ten days of August. Above-ground biomass is defined as the total amount of organic matter of vegetation living above the ground in a unit area. Unit: g/m². This data set is calculated from a statistical model based on the MODIS vegetation index by the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. The spatial resolution is 250 m x 250 m. The data set is an important data source for vegetation monitoring in Three River Source National Park. Projection information: Albers isoconic projection Central meridian: 105 degrees First secant: 25 degrees First secant: 47 degrees West deviation of coordinates: 4000000 meters

0 2021-04-20

Survey data set of plant and soil carbon and nitrogen cycle in representative sites (2019-2020)

The data set includes three types of data, which are: (1) the data of soil physical and chemical indexes, carbon and nitrogen, plant carbon and nitrogen, and microbial carbon and nitrogen in the collapse area of the Qinghai Tibet Plateau in 2020. These data provide an important reference for the assessment of the carbon and nitrogen cycle in the Tibetan Plateau. This data is mainly obtained through field observation during the investigation in Gangcha, Qinghai Province in 2020. The obtained plant and soil samples were taken back to the laboratory for preliminary classification and impurity removal, and then dried to constant weight in an oven at 65 ° C. Carbon and nitrogen components in soil and plants were measured. A total of 40 quadrats of 4 typical plots were obtained. The data can be used to reveal the spatial variation of soil and plant carbon and nitrogen components, and understand the distribution of carbon and nitrogen components in soil plant microbial system. (2) Data of soil nutrient composition of grassland horizontal transect in Qinghai Tibet Plateau in 2019. This data is mainly obtained from the field drilling during the sample belt investigation in 2019. The soil samples were taken back to the laboratory for preliminary classification, root removal and stone screening. The soil samples were dried naturally, then mixed evenly and divided into two parts (about 100g each). One part was sieved with 2mm soil sieve to obtain sieved samples, and the other part was ground with ball mill to obtain ground samples. The content elements included: the contents of total C, N, P, K, Fe, Mn, Cu, Zn, CA, Na and total Mg; the contents of available P, K, Fe, Mn, Cu, Zn, CA, Na and Mg. Determination of soil total C and N: the grinding samples were packed, and then the contents of total C and N were determined by chnos elemental analyzer (vario El III, GmbH, Hanau, Germany). Determination of total elements in soil: the grinding samples were pressed by a tablet press, and then the contents of total P, K, Fe, Mn, Cu, Zn, CA, Na and total Mg in the samples were determined by X-ray fluorescence spectrometry (XRF, panalytical Axios max, Almelo, the Netherlands). Determination of soil available elements: the sieved samples were extracted, and the contents of available P, K, Fe, Mn, Cu, Zn, CA, Na and Mg were determined by inductively coupled plasma atomic emission spectrometry (ICAP 6300, Thermo Electron Corporation, Waltham, Ma, USA). A total of 13 transects were obtained. Each plot obtained three soil layers (0-10 cm, 10-20 cm, 20-30 cm). Therefore, there are 117 data of each soil nutrient element (C, N, P, Mn, Zn, etc.) in each quadrat. The data are directly obtained from the field soil samples obtained by this scientific research. After air drying, screening and grinding, the data are determined by the relevant analyzer (above) according to the corresponding test specifications, and the quality is reliable, which can be used to analyze the distribution law of soil carbon and nitrogen content or density in different regions and to evaluate soil nutrient In particular, it can be used for the research and modeling of carbon and nitrogen cycle driven by precipitation change, which has a wide range of application value and application prospects. (3) Vegetation productivity data of grassland horizontal transect in Qinghai Tibet Plateau in 2019. This data is mainly obtained from the field observation during the transect survey in 2019. After obtaining the plant samples, they were taken back to the laboratory for preliminary classification, gravel and other impurities were removed, and then dried in the oven at 65 ° C to constant weight. According to the biomass of the sample, it was converted into the key element of ecosystem carbon cycle vegetation productivity (NPP). A total of 13 transect points and 39 quadrats were obtained. The content elements of the data include aboveground biomass, aboveground biomass and NPP. The unit is gram per square meter; this data is the field observation data obtained from this scientific research, with reliable quality, which can be used to analyze the distribution law of vegetation productivity, vegetation cover, carbon storage assessment of ecosystem in different regions, especially for the study of carbon cycle driven by precipitation change and its modeling, and has a wide application value and application prospect.

0 2021-04-19