Articles | Volume 15, issue 1
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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-199', Anonymous Referee #1, 09 Aug 2022
    • AC1: 'Reply on RC1', Jin Yili, 04 Oct 2022
  • RC2: 'Comment on essd-2022-199', Anonymous Referee #2, 30 Oct 2022
    • AC2: 'Reply on RC2', Jin Yili, 02 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jin Yili on behalf of the Authors (18 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
EF by Polina Shvedko (18 Nov 2022)  Supplement 
ED: Referee Nomination & Report Request started (23 Nov 2022) by David Carlson
RR by Anonymous Referee #2 (28 Nov 2022)
ED: Publish subject to technical corrections (01 Dec 2022) by David Carlson
AR by Jin Yili on behalf of the Authors (06 Dec 2022)  Author's response   Manuscript 
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.
Final-revised paper