Soil physical properties - soil bulk density and mechanical composition dataset of Tianlaochi Watershed in Qilian Mountains

Soil physical properties - soil bulk density and mechanical composition dataset of Tianlaochi Watershed in Qilian Mountains


A total of 137 soil samples of different vegetation types, different altitudes and different terrains were collected from June 2012 to August 2012. The soil layer of each sample point was divided into three layers of 0-10cm, 10-20cm and 20-30cm, with an altitude of 2700-3500m m. The vegetation types were divided into five types: Picea crassifolia forest, Sabina przewalskii, subalpine scrub meadow, grassland and dry grassland. At the same time of sampling, hand-held GPS is used to record the location information and environmental information of each sampling point, including longitude, latitude, altitude, slope, aspect, terrain curvature, vegetation type, soil thickness, maximum root depth, etc.

Soil bulk density: The measurement method of soil bulk density is to put the sample into an envelope and dry it in an oven at 105℃ for 24 hours, then take it out and place it for 30 minutes to weigh. The ratio of the weighing result to the volume of the ring cutter is the soil bulk density, and the unit is g/cm3.

Soil mechanical composition: hydrometer method is used to measure the soil mechanical composition, which includes the content of soil sand, silt and clay.


Data Citations Data citation guideline What's data citation?
Cite as:

Zhao, C., Ma, W. (2013). Soil physical properties - soil bulk density and mechanical composition dataset of Tianlaochi Watershed in Qilian Mountains. A Big Earth Data Platform for Three Poles, DOI: 10.3972/heihe.093.2013.db. CSTR: 18406.11.heihe.093.2013.db. (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.


Support Program

None (No:91025015)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 99.98 West: 99.73
South: 38.50 North: 38.33
Details
  • File size: 64 MB
  • Views: 10366
  • Downloads: 54
  • Access: Requestable
  • Temporal coverage: 2012-06-25 To 2012-09-24
  • Updated time: 2021-04-20
Contacts
: ZHAO Chuanyan   MA Wenying  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata