The data set includes the spatial distribution of grass yield in the Qinghai-Tibetan Plateau in 1980, 1990, 2000, 2010, and 2017. The gross primary productivity (GPP) of grassland in the Qinghai-Tibetan Plateau was simulated based on the ecological hydrological dynamic model VIP (vegetation interface process) with independent intellectual property of Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences. The net primary productivity (NPP) was estimated by empirical coefficient, and converted it into dry matter, and then the hay yield was estimated by root-shoot ratio. The spatial resolution is 1km. The data set will provide the basis for grassland resource management, development, utilization and the formulation of the strategy of "grass for livestock".

File naming and required software

File name: the grass yield data is stored in ASCII file. The file name is "agb_yyyy. asc", where yyyy represents the year. For example, agb_2000 represents this ASCII file to describe the grass yield of the Qinghai-Tibetan Plateau in 2000.
Data reading mode: all ASCII files in the data set can be directly opened with a text program (such as Notepad). Except for the header file, the main content is the numerical representation of the grass yield. If you want to display it with a diagram, you can open it with ArcGIS. During the reading process, a grid file will be generated. The displayed grid file is the graphic representation of the ASCII file.

Data Citations Data citation guideline What's data citation?

Cite as:

Mo, X. (2020). Grassland productivity on the Qinghai-Tibetan Plateau since 1980. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.270430. CSTR: 18406.11.Ecolo.tpdc.270430. (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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)