From September to October 2019, a field survey was carried out along the 214 National Highway in the Sanjiangyuan District to investigate the geology, landform, climate and vegetation type data, and to collect soil samples along the line, a total of 32 soil samples. Field surveys were carried out in the typical desertified grassland, grazing grassland and plateau pika activity areas in the source area of the Three Rivers from June to July 2020, including 15 soil samples with different degrees of desertification, 9 soil samples with different grazing intensity, and pika activity areas There are 12 soil samples, 36 in total. The two field surveys totaled 68 soil samples. The content of the data set includes serial number, geographic location of each sample point, land use type, latitude and longitude coordinates, altitude, soil total nitrogen, total phosphorus, total potassium content and soil pH. The data format is an Excel table. This data set is obtained by self-determination by combining field sampling and indoor experiment. The total nitrogen is measured by a semi-automatic Kjeldahl nitrogen analyzer, the total phosphorus is measured by a spectrophotometer, the total potassium is measured by a flame photometer, and the pH is measured by a PHSJ-4F laboratory pH meter. This data can provide data support and scientific basis for the restoration of the alpine ecosystem.

File naming and required software

XDA200402022-QZGYSJY2000SoilP.zip: where XDA20040202 is the subject number; 2 is the sub-subject number; QZGYSJY represents Sanjiangyuan area of Qinghai Tibet Plateau, 2000 represents the year of data; and SoilP represents the soil properties; Data can be opned, viewed and analyzed by Excel.

Data Citations Data citation guideline What's data citation?

Cite as:

Zhao, G. (2021). Data of soil properties in sanjiangyuan region, Qianghai -Tibetan Plateau (2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Soil.tpdc.271735. CSTR: 18406.11.Soil.tpdc.271735. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)