Carbon storage data of grassland vegetation in Qinghai Tibet Plateau (1980-1995, 2005-2006)- A Big Earth Data Platform for Three Poles

1) Data content

It includes the observation year, longitude and latitude, ecosystem type, annual rainfall, drought index, annual net primary productivity, aboveground biomass, underground biomass and other data.

2) Data sources

One part is from literature (1980-1995), the other part is from field sampling (2005-2006).

3) Data quality description

The data has a long observation year, a large time span, a wide coverage, and many indicators, which has high integrity and accuracy, and can meet the estimation of grassland carbon storage in the Qinghai Tibet Plateau.

4) Data application achievements and Prospects

It provides basic data for predicting the carbon source sink effect and realizing the sustainable development of ecosystem carbon in the future.

File naming and required software

The vegetation carbon data is stored in Excel, and the file name is "grassland carbon storage data of Qinghai Tibet Plateau (1980-1995, 2005-2006)". The year of data obtained in literature is (1980-1995), and the year of observation data is (2005-2006).

Data Citations Data citation guideline What's data citation?

Cite as:

Hu, Z. (2021). Carbon storage data of grassland vegetation in Qinghai Tibet Plateau (1980-1995, 2005-2006). A Big Earth Data Platform for Three Poles, (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.

References literature

1.Hu, Z., Yu, G.R., Fan, J.W., et al. (2010). Precipitation-use efficiency along a 4500-km grassland transect. Global Ecology & Biogeography, 19(6), 842-851. (View Details )

Support Program

Second Tibetan Plateau Scientific Expedition Program

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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