Articles | Volume 15, issue 1
© Author(s) 2023. This work is distributed underthe Creative Commons Attribution 4.0 License.
TiP-Leaf: a dataset of leaf traits across vegetation types on the Tibetan Plateau
- Final revised paper (published on 03 Jan 2023)
- Supplement to the final revised paper
- Preprint (discussion started on 01 Jul 2022)
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
AR by Jin Yili on behalf of the Authors (18 Nov 2022)  Author's response Author's tracked changes Manuscript
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
The manuscript titled "TiP-Leaf: A dataset of leaf traits across vegetation types on the Tibetan Plateau" provides relevant information to further understand the floristic composition and leaf trait variation for the vegetation in the Tibetan Plateau. In itself, the monumental task of measuring leaf traits and compiling the data for the species from 336 sites across the Tibetan Plateau is to be appreciated and will greatly benefit the scientific community by filling out information gaps at the regional scale in further studies or global metanalysis. However, I believe there are some points in the structure and content of the current manuscript that need to be improved. To this end, please find my specific comments below.
As for the data set (Excel file), I suggest the following minor corrections:
As a side note, is there any information on the soil types at each of the sampling sites? Because that would also be useful information to fully understand the floristic composition and distribution for people not familiar with Chinese flora.