Qinghai Tibet Plateau Vegetation Survey Data (2019)

Qinghai Tibet Plateau Vegetation Survey Data (2019)


Vegetation survey data is essential for the study of ecosystem structure and function. The Qinghai Tibet Plateau contains a vast grassland ecosystem, mainly including alpine meadow, alpine grassland, and alpine desertification grassland. Due to the unique geographical location and high altitude anoxic environmental conditions, the community survey data in the northern Tibetan Plateau is relatively scarce. This data set includes the aboveground biomass and coverage data of 47 sampling points on the northern Tibet transect in 2019, and the sampling time is from July to August. The sample size is 50cm × 50cm, dry weight of the plant is weighed after drying. This data set can be used for spatial analysis of productivity and calibration of models.


File naming and required software

The data is stored in excel format, including the biomass and coverage data observed in the transect from July to August 2019


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

Zhang, Y., Zhu, J. (2022). Qinghai Tibet Plateau Vegetation Survey Data (2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272863. CSTR: 18406.11.Terre.tpdc.272863. (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

CASEarth:Big Earth Data for Three Poles(grant No. XDA19070000) (No:XDA19000000)

Copyright & License

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


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Keywords
Geographic coverage
East: 92.13 West: 89.68
South: 30.17 North: 32.02
Details
  • Temporal resolution: Yearly
  • Spatial resolution: --
  • File size: 0.03 MB
  • Views: 422
  • Downloads: 104
  • Access: Requestable
  • Temporal coverage: July and August 2019
  • Updated time: 2022-10-21
Contacts
: ZHANG Yangjian   ZHU Juntao   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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