Articles | Volume 15, issue 1
https://doi.org/10.5194/essd-15-25-2023
https://doi.org/10.5194/essd-15-25-2023
Data description paper
 | 
03 Jan 2023
Data description paper |  | 03 Jan 2023

TiP-Leaf: a dataset of leaf traits across vegetation types on the Tibetan Plateau

Yili Jin, Haoyan Wang, Jie Xia, Jian Ni, Kai Li, Ying Hou, Jing Hu, Linfeng Wei, Kai Wu, Haojun Xia, and Borui Zhou

Viewed

Total article views: 2,344 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,765 525 54 2,344 88 35 42
  • HTML: 1,765
  • PDF: 525
  • XML: 54
  • Total: 2,344
  • Supplement: 88
  • BibTeX: 35
  • EndNote: 42
Views and downloads (calculated since 01 Jul 2022)
Cumulative views and downloads (calculated since 01 Jul 2022)

Viewed (geographical distribution)

Total article views: 2,344 (including HTML, PDF, and XML) Thereof 2,286 with geography defined and 58 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
Download
Short summary
The TiP-Leaf dataset was compiled from direct field measurements and included 11 leaf traits from 468 species of 1692 individuals, covering a great proportion of species and vegetation types on the highest plateau in the world. This work is the first plant trait dataset that represents all of the alpine vegetation on the TP, which is not only an update of the Chinese plant trait database, but also a great contribution to the global trait database.
Altmetrics
Final-revised paper
Preprint